business analyst

financial analyst

research associate

account coordinator

account manager

analytics specialist

Shake Shack

<div><div><div><div>225 Varick Street, Suite 301, New York NY 10014, United States
 </div><div>9000 SS - NY - Home Office
</div></div><div><div><div><p><b>Our secret to leading the way in hospitality? We put our people first!</b></p><p>
At Shake Shack, our mission is to Stand For Something Good in all that we do. From our teams to our neighborhoods, we're committed to always doing the right thing. As one of the fastest-growing hospitality brands, we're all about crafting unforgettable experiences for our guests. We offer endless learning opportunities and the chance to make a lasting impact on our business, restaurants, and communities. As a member of the #ShackFam, you&rsquo;ll have access to hands-on mentorship, training, and growth potential, all in a fun and inclusive environment.</p><p></p><p>
Join us and Be a Part of Something Good.</p><p></p><p><b>
Job Summary</b><br>
We are seeking an Analytics Engineer with a quality-first mindset to join our Data &amp; Analytics team. This role is responsible for designing, building, and maintaining robust data models, pipelines, and analytics infrastructure across a broad, multi-domain portfolio, while simultaneously serving as the internal technical quality gate for a delivery model that includes our internal team and external service partners. The Analytics Engineer: Data Quality Lead bridges hands-on engineering with oversight and standards-setting, ensuring that what gets built is not only functional but reliable, documented, and trustworthy. This role operates within a modern data stack environment and is expected to leverage AI tooling as a core part of day-to-day workflow, accelerating both personal output and broader team capability.</p><p></p><p>
The ideal candidate has 3+ years of analytics engineering experience with strong dbt and SQL proficiency, a track record of working in vendor or offshore delivery models, and the technical judgment to review others' code with precision and confidence. They understand that data quality is not a phase at the end of a project but a discipline embedded in every model, every test, and every deployment decision. They get energy from making systems more reliable, not just shipping their own work. They are genuinely AI-native, using tools like GitHub Copilot, Cursor, or Claude not occasionally, but as a primary accelerant. And they have the communication skills to hold service partners to a high standard while remaining a collaborative, trusted partner to the broader team.</p><p></p><p><b>
Responsibilities:</b></p><p><b>
Hands-On Build &amp; Engineering</b></p><ul><li><p>
Design, develop, and maintain dbt models, SQL transformations, and data pipelines that produce clean, analytics-ready datasets supporting reporting, analysis, ML/AI, and strategic initiatives across multiple business domains</p></li><li><p>
Build and optimize dimensional data models that enable self-service analytics and support advanced use cases including machine learning feature engineering and AI model training</p></li><li><p>
Own high-complexity internal workstreams such as semantic layer definitions, cross-domain data models, and metrics standardization where internal technical ownership is critical</p></li><li><p>
Support query performance optimization and data warehouse efficiency to reduce cost and improve end-user experience</p></li><li><p>
Develop and maintain clear documentation of data models, business logic, and data lineage to promote transparency and enable knowledge sharing across the team</p></li></ul><p></p><p><b>
Technical Quality &amp; Service Partner Oversight</b></p><ul><li><p>
Serve as the internal technical quality gate for service partner deliverables, reviewing pull requests and outputs against established data modeling standards, testing requirements, and documentation expectations</p></li><li><p>
Use AI-assisted code review tooling to conduct scalable first-pass analysis of service partner code, focusing human judgment on highest-risk decisions and architectural patterns</p></li><li><p>
Own and continuously improve the team's data observability posture by deploying and tuning monitoring tools (e.g., Elementary, re_data, Monte Carlo, or Soda) to detect anomalies, freshness failures, and quality regressions before they surface in dashboards or downstream systems</p></li><li><p>
Build and enforce pre-deployment checklists and release gate criteria, including automated downstream impact assessments so no change ships without a known blast radius</p></li><li><p>
Define and maintain data contracts between data producers and consumers, creating explicit, documented agreements about what each dataset guarantees to reduce silent failures and undocumented assumptions</p></li><li><p>
Provide technical guidance and mentorship to service partner resources and extended team members, raising overall delivery quality across the ecosystem</p></li></ul><p></p><p><b>
Cross-Functional Collaboration &amp; Stakeholder Partnership</b></p><ul><li><p>
Partner with the Business Analyst, Data Product Lead, and Product Manager to translate business requirements into scalable, well-scoped data solutions</p></li><li><p>
Collaborate with Data Engineering to ensure reliable upstream pipelines and with analytics consumers across Operations, Finance, Marketing, and other business units to understand data needs and validate that delivered solutions drive intended outcomes</p></li><li><p>
Act as a trusted technical voice in program and project delivery conversations, flagging quality or capacity risks before they become deployment failures</p></li></ul><p></p><p><b>
Minimum Qualification:</b></p><ul><li><p>
3+ years of experience in analytics engineering, data modeling, or a closely related data delivery role focused on transforming raw data into analytics-ready datasets</p></li><li><p>
Strong proficiency in SQL and hands-on experience with dbt, including testing frameworks, documentation standards, and model governance</p></li><li><p>
Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar)</p></li><li><p>
Demonstrated understanding of data modeling concepts including dimensional modeling, star/snowflake schemas, and normalization</p></li><li><p>
Experience working in a delivery model that includes offshore, vendor, or service partner resources, with direct accountability for reviewing and accepting their technical output</p></li><li><p>
Familiarity with data quality monitoring concepts including row count validation, freshness checks, null rate monitoring, and referential integrity testing</p></li><li><p>
Active, daily use of AI coding assistants (GitHub Copilot, Cursor, Claude, or similar) as a core part of engineering workflow rather than occasional experimentation</p></li><li><p>
Familiarity with version control (Git) and software engineering best practices including branching, code review, and CI/CD concepts</p></li><li><p>
Strong analytical thinking and attention to detail, with a demonstrated ability to identify and resolve data quality issues before they reach end users</p></li><li><p>
Effective communication and stakeholder management skills, with the ability to give direct technical feedback to partners and translate data concepts for non-technical audiences</p></li><li><p>
Bachelor's Degree in Computer Science, Information Systems, Data Analytics, Statistics, or a related field, or equivalent practical experience</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Hands-on experience with data observability platforms such as Elementary, re_data, Monte Carlo, or Soda Core</p></li><li><p>
Experience defining or enforcing data contracts or SLA-style quality agreements between data producers and consumers</p></li><li><p>
Experience with CI/CD pipeline concepts applied to dbt projects, including automated testing gates and deployment workflows</p></li><li><p>
Knowledge of Python for data transformation, automation, or pipeline scripting</p></li><li><p>
Experience with data orchestration tools such as Airflow, Dagster, or Prefect</p></li><li><p>
Familiarity with business intelligence and data visualization tools (Tableau, Looker, Power BI, or similar), with an understanding of how upstream model decisions affect downstream reporting</p></li><li><p>
Understanding of machine learning workflows and feature engineering requirements, including how to structure data models for ML model training and validation</p></li><li><p>
Experience in retail, hospitality, QSR, or restaurant operations environments</p></li><li><p>
Exposure to event tracking, product analytics, or marketing analytics data domains</p></li><li><p>
Experience collaborating with Data Science teams on analytical or ML projects, translating modeling requirements into data product specifications</p></li><li><p>
5+ years of total experience in analytics engineering, data analysis, or a related field</p></li></ul><p></p><p><b>
Benefits at Shake Shack:</b></p><p>
A work environment where you can come as you are, share your ideas, have fun, and work collaboratively:</p><ul><li><p>
Weekly Pay and Performance bonuses</p></li><li><p>
Shake Shack Meal Discounts</p></li><li><p>
Exclusive corporate discounts for travel, electronics, wellness, leisure activities and more</p></li><li><p>
Medical, Dental, and Vision Insurance*</p></li><li><p>
Employer Paid Life and Disability Insurance*</p></li><li><p>
401k Plan with Company Match*</p></li><li><p>
Paid Time Off*</p></li><li><p>
Paid Parental Leave*</p></li><li><p>
Access to Employee Assistance Program on Day 1</p></li><li><p>
Pre-Tax Commuter and Parking Benefits</p></li><li><p>
Flexible Spending and Dependent Care Accounts*</p></li><li><p>
Development and Growth Opportunities</p></li></ul><p></p><ul><li>Eligibility criteria applies</li></ul><p></p>
Pay Range - $121,650.00 - $159,650.00<p></p><p><b><br>
About Us</b></p><p>
Beginning as a hot dog cart in New York City&rsquo;s Madison Square Park, Shake Shack was created by Danny Meyer, Founder and CEO of Union Square Hospitality Group and best-selling author of Setting the Table. Shack Fans lined up daily, making the cart a resounding success, and donating all proceeds back to the park beautification efforts. A permanent stand was eventually built&hellip;and the rest is Shack history! With our roots in fine dining and giving back to the community, we are committed to high quality food served with a high level of hospitality. Our team members enjoy a positive work environment that is deeply committed to the philosophy that we &quot;Stand for Something Good.&quot;</p><p></p><p><b>
Shake Shack is an Equal Opportunity Employer</b></p><p>
All qualified applicants will receive consideration for employment without regard to any protected characteristic, including race, color, ancestry, national origin, religion, creed, age, disability (mental and physical), sex, gender identity, sexual orientation, gender expression, medical condition, genetic information, marital, military and veteran status.</p></div><br>
</div></div>
</div><h3 class="jobSectionHeader"><b>Job Details</b></h3>
<div>
<div><p>Job Category:</p>
<p>Support Center
</p></div><div><p>Position Type:</p>
<p>Full Time
</p></div><div><p>Job ID:</p>
<p>JR12307</p></div></div></div>

Analytics Engineer – Data Quality Lead

The Associated Press

<div><p>The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day.</p><p></p><p><br>
As an Audience Data Strategist, you'll be the bridge between data and decision-making across our digital publishing platforms. You'll uncover patterns in how millions of users discover, consume, and engage with AP journalism and then translate those insights into strategies that inform editorial priorities, product development, and revenue optimization. This role requires someone who can speak both the language of data and the language of newsrooms, comfortable presenting findings to both engineering teams and editorial leadership.</p><p>
What You'll Do</p><p>
Uncover Audience Insights &amp; Content Trends</p><ul><li>
Mine large datasets using Google Analytics 4, Looker Enterprise, and Hex.Tech to then identify patterns in audience behavior, content performance, and engagement trends across our publishing platforms</li><li>
Discover opportunities in user journeys, content placement, and engagement funnels that drive strategic recommendations for homepage optimization, recirculation strategies, and content distribution</li><li>
Analyze how different audience segments interact with our journalism and identify opportunities to deepen engagement and build loyalty</li></ul><p>
Translate Data Into Strategic Recommendations</p><ul><li>
Transform complex audience data into compelling narratives that inform editorial strategy, product roadmaps, and monetization decisions</li><li>
Build relationships with editorial teams to understand their questions and translate them into data-driven insights about what content resonates, when, and with whom</li><li>
Partner with product managers and engineers to identify data patterns that reveal opportunities for platform improvements and new features</li></ul><p>
Create Insights Through Advanced Analytics Tools</p><ul><li>
Use SQL, Python, and R to query large datasets, identify trends, and build repeatable analyses that surface actionable insights about content performance and audience behavior</li><li>
Design and build dashboards in Looker Enterprise and Hex.Tech that make complex audience patterns accessible to non-technical stakeholders</li><li>
Implement tracking strategies in Google Analytics 4 and Google Tag Manager to ensure we're capturing the right data to answer critical business questions</li></ul><p>
Drive Revenue &amp; Engagement Optimization</p><ul><li>
Uncover patterns in highly engaged users and design strategies to grow this valuable audience segment</li><li>
Evaluate A/B tests and product experiments to determine impact on engagement, retention, and revenue metrics</li></ul><p>
Partner Across the Organization</p><ul><li>
Build trusted relationships with editorial leaders, helping them understand audience trends and content performance patterns</li><li>
Collaborate with technical teams (data engineering, product development) to ensure data infrastructure supports strategic decision-making</li><li>
Communicate findings to diverse stakeholders; from reporters asking about story performance to executives evaluating strategic priorities</li></ul><p>
What You Bring</p><p>
Publishing &amp; Audience Analytics Background</p><ul><li>
3+ years professional experience working with content analytics, audience insights, or digital publishing platforms</li><li>
Deep experience with Google Analytics 4 in an enterprise publishing environment; you understand pageviews, sessions, engagement metrics, and user journeys in the context of editorial content</li><li>
Proven track record of uncovering actionable insights from large datasets related to content performance, audience behavior, or user engagement</li></ul><p>
Analytics Tools &amp; Platforms</p><ul><li>
Hands-on experience with Looker Enterprise for building dashboards and exploring data</li><li>
Familiarity with Hex.Tech or similar collaborative analytics platforms for reproducible analysis</li><li>
Practical experience using SQL to query datasets and Python to analyze patterns and trends (you don't need to be a software engineer, but you should be comfortable writing queries and scripts to answer questions)</li><li>
Experience implementing and managing Google Tag Manager (GTM) and Google Analytics 4 (GA4), including custom-event tracking</li></ul><p>
Strategic Thinking &amp; Communication</p><ul><li>
Ability to identify patterns and trends in data that others might miss, then articulate why they matter</li><li>
Comfort translating technical findings into strategic recommendations for non-technical audiences; you can explain user behavior patterns to editorial teams and technical requirements to data engineers</li><li>
Track record of building relationships across diverse teams: working with both highly technical stakeholders (data engineers, developers) and creative/strategic leaders (editors, product managers, executives)</li></ul><p>
Publishing Domain Knowledge</p><ul><li>
Understanding of how audiences discover and consume news content across platforms (web, mobile web, apps)</li><li>
Familiarity with content management systems, homepage modules, recirculation strategies, and the metrics that matter in digital publishing</li><li>
Interest in questions like: What makes content engaging? How do users navigate between stories? What drives return visits and loyalty?</li></ul><p>
Personal Attributes</p><ul><li>
Curiosity about audience behavior and a passion for understanding why users make the choices they do</li><li>
Collaborative approach&mdash;you see your role as enabling others to make better decisions, not gatekeeping data</li><li>
Comfort with ambiguity and the ability to define your own analyses when questions are open-ended</li><li>
Adaptability to propose new approaches, test them, and iterate based on results</li></ul><p>
Nice to Have</p><ul><li>
Experience with donation, subscription, or reader revenue analytics in publishing</li><li>
Background working with BigQuery or other large-scale data warehousing platforms</li><li>
Familiarity with content recommendation systems or personalization strategies</li><li>
Experience with A/B testing platforms and experimental design</li></ul><p>
Education</p><p>
Bachelor's Degree in a relevant field (Communications, Journalism, Statistics, Data Science, Marketing) or equivalent experience in digital publishing analytics</p><p></p><p><br>
Hybrid</p><p>
We are a hybrid environment on-site three days a week.</p><p>
Salary &amp; Benefits:</p><p>
The anticipated salary range for this position is $103,000 &ndash; 128,000 , based on a candidate&rsquo;s skills, qualifications and location. The Associated Press offers comprehensive benefits, which include:</p><ul><li>
Competitive medical, dental and vision coverage</li><li>
Retirement benefits</li><li>
Company paid life insurance</li><li>
Paid vacation and sick days</li><li>
Paid parental leave for any new parent</li><li>
Mental well-being resources</li></ul><p></p><p><br>
AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.</p></div><p></p>

Audience Data Strategist

Horizon Media, Inc.

<div><p><b>Job Description
</b></p><div><div><p>Who We Are
</p></div><div><p><b>Horizon Next </b>is one of the industry's most innovative and data-driven marketing organizations and sits at the intersection of three constantly changing landscapes: people, data, and media. Our business provides strategic leadership to accelerate growth for our clients through brand strategy, media planning and investment, and best in class analytics across all channels. As the leader in innovative business solutions, we are always pushing ourselves to understand what&rsquo;s next: our next innovation, our next advancement in analytics, the market&rsquo;s next media evolution, and your next breakthrough idea. Horizon Next operates with the single goal that tomorrow must outperform today.
<br>
<br>
At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.<br>
</p></div><p></p><div><p>Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.<br>
</p></div><p></p><div><p>Our Department<br>
<br>
</p></div><div><p>Job Summary
<br>
The main responsibility of the Analyst, Advanced Analytics is to apply sophisticated statistical modeling and other advanced analytic techniques to help guide our clients&rsquo; media spending plans and make their investments more efficient. In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of parties including the clients, internal stakeholders (e.g. Brand and Activation), 3rd-party vendors, external clients, and operational areas within Horizon.
</p></div><div><p>We are looking for someone who is intellectually curious with the drive and knowledge to identify, frame and solve business problems. They must be a critical thinker and highly detailed oriented individual who can follow-through with flawless execution.
</p></div><div><p>The ideal candidate will be a clear and persuasive communicator who thrives in a highly collaborative team environment and has the ability to guide solutions for ever-evolving real-time problem sets. Above all, the Analyst, Advanced Analytics must be highly driven with an exceptional work ethic, determination to overcome complex challenges, and must have a desire to have huge impact on the business.<br>
</p></div><p></p><div><p>What You&rsquo;ll Do
</p></div><div><p>8 0% Development and Enhancement of data and analytics capabilities :
</p></div><div><ul><li><p>Assist in statistical modeling and marketing performance analysis to provide insights into media planning and buying.
</p></li></ul></div><div><ul><li><p>Constantly look for ways to improve the usage of Horizon&rsquo;s existing data and analytics infrastructure.
</p></li></ul></div><div><ul><li><p>Work with stakeholders to improve current analytic processes and develop new capabilities that set us apart in the marketplace.
</p></li></ul></div><div><ul><li><p>Use automation and technology to increase efficiency and to provide the infrastructure to scale.
</p></li></ul></div><div><ul><li><p>Bring an &ldquo;outside in perspective&rdquo; to analytic development; explore, identify and assess external best practices - and translate to relevant application internally.<br>
</p></li></ul></div></div><p></p><div><div><p>20% Cultivating and maintaining effective working relationships- internally and externally :
</p></div><div><ul><li><p>Establish and maintain excellent working relationship with key functional areas, as well as HMI Analytics and other stakeholders throughout Horizon.
</p></li></ul></div><div><ul><li><p>Act as a liaison between the Analytics team and the internal Brand, Activation and Operational areas.<br>
</p></li></ul></div><p></p><div><p>Preferred Skills &amp; Experience
</p></div><div><ul><li><p>Bachelor&rsquo;s degree required plus 0-1 years of industry experience, Master&rsquo;s degree preferred (or, concurrent).
</p></li></ul></div><div><ul><li><p>Strong foundational knowledge of statistics and modeling ( e.g. regression modeling/ predictive modeling/ inferential statistics) required, specific marketing response modeling knowledge such as MMM, a plus.
</p></li></ul></div><div><ul><li><p>Academic or applied exposure to Programming/scripting (R, Python, SQL).
</p></li></ul></div><div><ul><li><p>Experience in the Advanced Analytics realm, preferably in media, marketing or an adjacent field.
</p></li></ul></div><div><ul><li><p>Excellent problem-solving skills and a dogged determination to work an issue through to its satisfying conclusion are both a must.
</p></li></ul></div><div><ul><li><p>Ability to generate clear, concise and comprehensive analyses that tell the story behind the data .
</p></li></ul></div><div><ul><li><p>Exposure to large data sets (&ldquo;big data&rdquo;) and analysis thereof a major plus.
</p></li></ul></div><div><ul><li><p>Persistence - Demonstrate t enacity and willingness to go the distance
</p></li></ul></div><div><ul><li><p>Comfortable in dealing with ambiguity and managing change, plus the capacity to move through roadblocks with enthusiasm and alacrity.
</p></li></ul></div><div><ul><li><p>Strong verbal communication skills, extremely well-organized.
</p></li></ul></div><div><ul><li><p>Analytical mindset with knowledge and passion for media, data , statistics and technology.
</p></li></ul></div><div><ul><li><p>Collaborative, can-do attitude , a must.
</p></li></ul></div><div><ul><li><p>Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously.<br>
</p></li></ul></div><p></p><div><p>Certificates, Licenses and Registrations
<br>
N/A<br>
</p></div></div><div><p><br>
Physical Activity and Work Environment
</p></div><div><p>N/A<br>
</p></div><p></p><div><p><i>The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the </i><i>employer.
</i></p></div><p></p><p><i>Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
</i></p><p></p><p><b>Salary Range
</b></p>$80,000.00 - $95,000.00
<p></p><p><i>A successful applicant&rsquo;s actual base salary may vary based on factors such as individual&rsquo;s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. </i><i>As an organization, we take an aptitude and competency-based hiring approach. </i><i>We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.</i></p></div>

Analyst, Advanced Analytics

Intelliswift - An LTTS Company

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  Data Analyst &ndash; UX Research Operations
 </p>
 <p>
  <strong>
   Location:
  </strong>
  New York, NY (Hybrid Role 3 days per week)
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  12 Months W2 Contract (potential extensions)
 </p>
 <p>
  <br/>
 </p>
 <p>
  Years of experience: 5 years
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking an experienced Data Analyst to support a large, globally distributed User Experience (UX) Research organization. In this role, you will work closely with UX Researchers, Research Program Managers, and business leaders to turn complex data into actionable insights that improve research operations, efficiency, and decision‑making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The ideal candidate is analytical, consultative, and comfortable operating in ambiguous environments&mdash;someone who enjoys building, storytelling with data, and influencing stakeholders through insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
  :
 </p>
 <ul>
  <li>
   Analyze and interpret business and operational data to uncover insights that drive process improvement and decision‑making
  </li>
  <li>
   Design, build, and maintain interactive dashboards and reports to support research programs and leadership teams
  </li>
  <li>
   Partner with cross‑functional stakeholders to translate business goals into measurable KPIs and reliable metrics
  </li>
  <li>
   Act as an internal consultant by scoping data requests, synthesizing insights, and recommending solutions
  </li>
  <li>
   Investigate data trends, identify risks or gaps, and propose mitigation strategies
  </li>
  <li>
   Manage multiple concurrent projects, balancing urgency, impact, and stakeholder needs
  </li>
  <li>
   Present analytical findings clearly to both technical and non‑technical audiences
  </li>
  <li>
   Enable self‑service analytics through well‑designed reporting and documentation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree with 5+ years of experience (or master&rsquo;s degree with 4+ years) in data analytics, consulting, finance, sales operations, HR analytics, or a related field
  </li>
  <li>
   Strong experience writing advanced SQL queries or working with similar programming/query languages
  </li>
  <li>
   Hands‑on experience building dashboards using Tableau and applying data visualization best practices
  </li>
  <li>
   Proven ability to manage projects involving multiple stakeholders and competing priorities
  </li>
  <li>
   Strong communication and data‑storytelling skills
  </li>
  <li>
   Experience working in fast‑paced, ambiguous environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred / Nice‑to‑Have Skills
  </strong>
 </p>
 <ul>
  <li>
   Experience with Python, R, or similar scripting languages for data analysis or modeling
  </li>
  <li>
   Familiarity with ETL processes, data pipelines, APIs, and data integration from multiple sources
  </li>
  <li>
   Experience using CRM or business intelligence platforms
  </li>
  <li>
   Knowledge of statistical concepts such as descriptive statistics and statistical significance
  </li>
  <li>
   Experience automating workflows and improving efficiency using modern analytics or AI tools
  </li>
  <li>
   Strong business acumen and ability to influence stakeholders using data.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Analyst – UX Research Operations

Goldman Sachs

<div><div><div><div><div><div><div><p>Job Duties: Associate, Data Analytics with Goldman Sachs &amp; Co. LLC in New York, New York. Execute on Data Analytics strategy within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems. Partner with audit teams to identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing. Cultivate data analytics best practices and understandings through communication and trainings sessions with global audit teams. Utilize Python, SQL, and Tableau to develop high quality data analytics reporting and automation to improve operational efficiency and reduce manual audit testing. Grow subject matter expertise in cross-divisional auditable areas, such as Compliance &amp; Legal and Risk audit. Create Continuous Monitoring reporting for quarterly check-ins between auditors and stakeholders. Ensure excellent code quality in production, by performing high-quality and thorough code review and adhering to engineering best practices. Discover and assist in the on-boarding of datasets from across the firm, sourced from multiple cloud or on-prem databases. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.</p>
<p>
Job Requirements: Bachelor&rsquo;s degree (U.S. or foreign equivalent) in Computer Science, Data Analytics, Information Technology, Industrial Engineering, Operations Research, or a related field and three (3) years of experience in the job offered or in a related role. Prior work experience must include three (3) years of experience with the following: statistics concepts, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data; programming languages, such as Python, Java, or C++; visualization tools, such as Tableau or Qlik; text analytics and NLP using python; machine learning algorithms and exposure to supervised and unsupervised learning techniques including Linear/Logistic Regression, SVM, Random Forest and Boosting, Clustering, and Patterns Recognition; utilizing SQL to perform ad-hoc analysis for audit testing, such as determining a population or re-performance; and engineering methodologies (Git, CI/CD, Agile) and SDLC best practices.</p>
<p>
Salary Range: Annual base salary for this New York, New York -based position is $110,000 - $130,000.</p>
<p>
&copy;The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.</p></div></div></div></div></div></div><div><div><div><div><div><b>
We Offer Best-In-Class Benefits</b></div></div></div><p></p><div><div><div><div><div><div><div>
Healthcare &amp; Medical Insurance</div></div><p>
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Holiday &amp; Vacation Policies</div></div><p>
We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Financial Wellness &amp; Retirement</div></div><p>
We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Health Services</div></div><p>
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Fitness</div></div><p>
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</p></div></div></div></div><p></p><div><div><div><div><div><div>
Child Care &amp; Family Care</div></div><p>
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</p></div></div></div></div><p></p><div><div><div><div><div><div>
Benefits at Goldman Sachs</div></div><p>
Read more about the full suite of class-leading benefits our firm has to offer.</p></div></div></div></div></div></div></div></div><div></div>
<br><p>Opportunity Overview
CORPORATE TITLE
Associate
OFFICE LOCATION(S)
New York
DIVISION
Internal Audit</p>

Internal Audit - New York - Associate, Data Analytics - 3765660

Roku

<div>
 <p>
  Teamwork makes the stream work.
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 <p>
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 </p>
 <p>
  <strong>
   Roku is changing how the world watches TV
  </strong>
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  Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
 </p>
 <p>
  From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
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 </p>
 <p>
  <strong>
   About the team
  </strong>
 </p>
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  The Core Analytics Team is a centralized function dedicated to providing data-driven insights to drive business and product success. We work closely with our Product, Engineering, and Marketing teams to deliver exceptional experiences to our customers while maximizing the value proposition for the business.
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 </p>
 <p>
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 <p>
  <strong>
   About the role
  </strong>
 </p>
 <p>
  Roku is looking for a Data Scientist to join the Core Analytics team and provide support for our Customer Intelligence function, part of the broader Planning &amp; Optimization team. Together, we answer high-impact business questions from senior leaders with clear, decision-ready insights. You&rsquo;ll work on customer analytics that directly shape how Roku grows engagement, retention and monetization across the streaming ecosystem, with visibility to cross-functional leaders and meaningful ownership over high-impact questions.
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 </p>
 <p>
  This role is more than analytics and is intentionally &ldquo;business-forward&rdquo;. We're looking for someone who can translate customer behavior into metrics and narratives which can help define our customer strategy, and/or measure the impact of initiatives on customer behavior. You&rsquo;ll be expected to translate ambiguous stakeholder needs into strong analytical narratives and executive-ready deliverables. Familiarity with causal inference/experimentation is important; deep specialization is a plus but not required. This is a hybrid role with four days per week in the office, Monday through Thursday. The selected candidate will be based out of NYC.
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  For New York Only - The estimated annual salary for this position is between $135,000-$153,000 annually.
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 </p>
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  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
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  <strong>
   What you'll be doing
  </strong>
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 <ul>
  <li>
   Own end-to-end analyses: scope the question, define success metrics, pull data, analyze, synthesize, and deliver data-driven narratives.
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   Drive stakeholder alignment: clarify objectives, assumptions, tradeoffs, and decision points; ensure outputs are usable.
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   Build crisp storytelling &amp; presentations: create executive-ready readouts (slides, memos) with clear &ldquo;so what / now what.&rdquo;
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  <li>
   Develop SQL and Python-based workflows: write and review SQL/Python code to create datasets, compute KPIs, and validate results; use Airflow to maintain and build new pipelines when needed.
  </li>
  <li>
   Create reporting in Tableau/Looker: develop dashboards or recurring scorecards that make performance tracking easier and reduce ad-hoc churn.
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  <li>
   Measurement &amp; causal thinking: apply or partner on quasi-experimental approaches (e.g., diff-in-diff, propensity matching, synthetic controls) with appropriate caveats to address incrementality questions.
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   Raise analytical quality: ensure statistical rigor, bias awareness, and clear limitations.
  </li>
 </ul>
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 </p>
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 </p>
 <p>
  <strong>
   We're excited if you have
  </strong>
 </p>
 <ul>
  <li>
   3+ years (or equivalent) in analytics/data science roles driving business decisions (tech, media, marketplaces, consumer products, etc.).
  </li>
  <li>
   Strong SQL (joins, window functions, building analysis-ready tables, QA/validation).
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   Proficiency in Excel to work with data, tables and visualization.
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   Strong ability to communicate insights: structured thinking, clear writing, confident presenting to non-technical and executive audiences.
  </li>
  <li>
   Solid foundation in statistics (hypothesis testing, confidence intervals, regression basics).
  </li>
  <li>
   Experienced with Python for analysis and data pipeline production (via Airflow).
  </li>
  <li>
   Hands-on experience with visualization tools like Tableau or Looker
  </li>
 </ul>
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 </p>
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 </p>
 <p>
  <strong>
   Our Hybrid Work Approach
  </strong>
 </p>
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  Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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 </p>
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 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
 </p>
 <p>
  <br/>
 </p>
 <p>
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 </p>
 <p>
  <strong>
   Accommodations
  </strong>
 </p>
 <p>
  Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
 </p>
 <p>
  <br/>
 </p>
 <p>
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 </p>
 <p>
  <strong>
   The Roku Culture
  </strong>
 </p>
 <p>
  Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
 </p>
 <p>
  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
 </p>
 <p>
  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
 </p>
 <p>
  <br/>
 </p>
 <p>
  By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
 </p>
</div>


Data Scientist

Paramount+

<div>
 <strong>
  #WeAreParamount on a mission to unleash the power of content&hellip; you in?
  <br/>
  <br/>
 </strong>
 We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture.
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 <br/>
 <strong>
  In This Role You&rsquo;ll:
  <br/>
  <br/>
 </strong>
 Data is at the heart of everything we do at Paramount. Within the Data &amp; Insights Group (DIG), the Global Content &amp; Lifecycle Analytics team plays a critical role in guiding the company&rsquo;s success. We inform business, content, product, marketing, and operational decisions through rich data, strategic insights, and advanced analytical models, tools, and products.
 <br/>
 <br/>
 We are seeking an Analyst who is excited about data and entertainment and thrives in a dynamic environment! This role is centered on Paramount+, our flagship SVOD service, featuring an extensive library of content from CBS, MTV Entertainment Group, Nickelodeon, and Showtime, along with hit originals such as Landman, Tulsa King, The Chi, Mobland, and Yellowjackets. Paramount+ is also home to iconic entertainment and sports franchises including South Park, SpongeBob SquarePants, the NFL, UFC, UEFA, and more.
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 As an Analyst on the Global Content &amp; Lifecycle Analytics team, you will deliver clear, actionable insights that inform strategy across Paramount+. This role brings together data from multiple systems to uncover opportunities, assess risks, and identify emerging trends, translating complex analyses into concise, compelling narratives for partners across the DTC organization, including senior management. Through rigorous evaluation and close cross-functional collaboration, you will help drive decisions that optimize the subscriber lifecycle and maximize the global impact of Paramount+ content.
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 <strong>
  Responsibilities Include:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define, develop, and maintain key performance indicators and reporting frameworks that inform content, marketing, and broader business strategy for Paramount+.
  </li>
  <li>
   Write efficient SQL (BigQuery) queries to extract, transform, and analyze data in response to business questions from stakeholders at all levels.
  </li>
  <li>
   Conduct advanced analysis of content performance, subscriber lifecycle dynamics, and audience behavior to identify opportunities that drive interaction, retention, and growth.
  </li>
  <li>
   Use statistical analysis to develop and enhance models centered around content. This includes valuation, attribution, optimization.
  </li>
  <li>
   Build and maintain intuitive dashboards using tools such as Tableau, Looker/Data Studio, and Adobe Analytics, enabling self-service insights for non-technical users.
  </li>
  <li>
   Stay current on industry and competitive trends, evaluating potential implications for content strategy and the subscriber experience.
  </li>
  <li>
   Partner with measurement operations and data engineering teams to ensure proper tracking, data quality, and data structures that enable both robust analysis and scalable reporting.
  </li>
  <li>
   Improve data pipelines and develop analytical data sets that support modeling, real-time reporting, and deeper content and subscription insights.
  </li>
  <li>
   Present analytical findings and strategic recommendations in a clear, concise, and compelling manner to both technical and non-technical audiences.
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   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications You&rsquo;ll Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a relevant field or equivalent professional experience.
  </li>
  <li>
   Experience in web analytics, digital media, streaming, or related analytical roles; internship or early-career experience acceptable.
  </li>
  <li>
   Advanced proficiency in SQL with a solid ability to extract, manipulate, and analyze data from large datasets
  </li>
  <li>
   Skilled in analytical and visualization tools, including Excel, Microsoft Office, Google Workspace (Docs, Sheets, Slides), Tableau, Looker Studio, and programming languages such as R or Python.
  </li>
  <li>
   Knowledge of statistical modeling techniques (e.g., regression, clustering, forecasting) and experience applying them to consumer behavior or content performance.
  </li>
  <li>
   Deep attention to detail, with a commitment to data accuracy.
  </li>
  <li>
   Extraordinary communication skills, with the ability to translate complex analyses into clear, compelling insights for non-technical audiences across all levels of the organization.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficient mathematics, statistics background.
  </li>
  <li>
   Experience using project management tools like those from Atlassian (JIRA, Confluence)
  </li>
  <li>
   Experience using Google Cloud Platform (BigQuery).
  </li>
  <li>
   Experience working in subscription-based, streaming, or entertainment business, ideally within a content or lifecycle analytics function.
   <br/>
   <br/>
  </li>
 </ul>
 Paramount Skydance Corporation (NASDAQ: PSKY) is a leading global media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Nickelodeon, MTV, Comedy Central, BET, Paramount+, and Pluto TV, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.
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 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Hiring Salary Range: $86,000.00 - 115,000.00.
 <br/>
 <br/>
 The hiring salary range for this position applies to New York City, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
 <br/>
 <br/>
 <strong>
  What We Offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
  </li>
  <li>
   Generous paid time off.
  </li>
  <li>
   An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.
  </li>
  <li>
   Opportunities for both on-site and virtual engagement events.
  </li>
  <li>
   Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
  </li>
  <li>
   Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount
   <br/>
   <br/>
  </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 <br/>
 <br/>
 At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
 <br/>
 <br/>
 If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
</div>


Analyst, Global Content & Lifecycle Analytics

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