accounting & operations analyst - new york city

data scientist

financial analyst

human resources data analyst Jobs in New York

human resources data analyst

accounting & operations analyst - new york city Jobs in New York

ai data engineer

analytics analyst

Ventas, Inc.

<div><h1 class="jobSectionHeader">Job Description:
</h1>Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
<div>The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
</div>About the Role
The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
<ul><li>Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
</li><li>Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
</li><li>Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
</li><li>Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
</li><li>Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
</li><li>Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
</li><li>Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
</li><li>Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
</li><li>Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
</li><li>2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
</li><li>Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
</li><li>Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
</li><li><div>Proficiency in SQL and Python required.
</div></li><li>Experience translating ambiguous business questions to analytical problems
</li><li>Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
</li><li>Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
</li></ul>The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
#LI-MB1
#LI-Hybrid
Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
Ventas, Inc. is an Equal Opportunity Employer.
Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.</div>

Analyst, Data Science

Paramount+

<div>
 
 #WeAreParamount on a mission to unleash the power of content&hellip; you in?
 
 
 
 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.
 
 
 
 In This Role You&rsquo;ll:
 
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities Include:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Basic Qualifications You&rsquo;ll Bring:
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Bonus Skills:
 
 
 
 <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.
 
 
 </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.
 
 
 
 Additional Information
 
 
 
 Hiring Salary Range: $86,000.00 - 115,000.00.
 
 
 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.
 
 
 
 What We Offer:
 
 
 
 <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
 
 
 </li>
 </ul>
 Paramount is an equal opportunity employer (EOE) including disability/vet.
 
 
 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.
 
 
 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

American Express

<div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
American Express entered the travel agency business more than 100 years ago and today is one of the world&rsquo;s largest Travel and Lifestyle Service networks. The Travel &amp; Lifestyle Services (TLS) business provides differentiated value, extraordinary service, and unrivalled expertise to Card Members across 22 markets seeking leisure or business travel, as well as a variety of lifestyle and concierge services.
We are seeking a highly skilled Analyst &ndash; Data Analytics to join the Digital Lounge Services team. In this role, you will play a key part in developing dashboards and data-driven insights that inform lounge strategy, capacity management, personalization, and digital innovation across our global lounge network.
Overview
At American Express, data is foundational to delivering a seamless and differentiated customer experiences. As part of a fast-paced, customer-centric team, you will take a hands-on approach to analyzing data and translating insights into actionable recommendations that shape product and business strategy, enhance our offerings, and elevate the lounge experience for our Card Members.
This is a multi-dimensional role spanning several data functions, including building dashboards and analytics for Product and Business teams, partnering with Engineering on data pipelines and transformations, and helping cultivate a strong data-driven culture within the organization.
You will collaborate closely with a wide range of cross-functional partners, including Product, Business, Design, Content, Engineering, Operations, and more.
Key Responsibilities
<ul><li>Partner with Product teams to define KPIs, develop metrics, and build dashboards that track performance and inform data-driven decisions across lounge digital products
</li><li>Collaborate with Business teams to design scorecards and analytics that drive growth and enhance Card Member benefit utilization
</li><li>Leverage product analytics tools (e.g., Adobe Analytics, Amplitude) to track and analyze user engagement across digital experiences
</li><li>Support and enhance self-service analytics platforms by building, optimizing, and maintaining dashboards that enable lounge operations teams to monitor daily visits and capacity trends
</li><li>Communicate insights effectively and partner cross-functionally with Product, Business, and Engineering teams to influence strategy and drive continuous product improvement
</li><li>Partner with architects and engineers to support the design, development, and maintenance of scalable data pipelines and data warehouse solutions, including optimizing data transformations and integrating new data sources to ensure reliable, high-quality datasets
</li><li>Identify and explore opportunities to leverage AI and emerging technologies to enhance analytics capabilities and drive innovation
</li></ul>Skills &amp; Qualifications
<ul><li>Bachelor&rsquo;s degree in Data Science, Data Analytics, Computer Science, Data Engineering, or a related technical field, or equivalent work experience (advanced degree preferred)
</li><li>2+ years of experience in data analytics, data engineering, or a related analytical role in a professional environment
</li><li>2-4 years of experience with SQL
</li><li>2-4 years of experience with dashboard and visualization tools (e.g., Tableau, PowerBI, or similar)
</li><li>Must be based in New York and able to work in a hybrid model, 3 days per week in the office.
</li><li>Must be authorized to work in the United States; visa sponsorship is not available for this role.
</li></ul>Preferred Qualifications
<ul><li>Experience with Python or R
</li><li>Experience with product analytics tools (e.g., Adobe Analytics, Amplitude, or similar)
</li><li>Experience working with large datasets, including analyzing, interpreting, and communicating insights to stakeholders
</li><li>Experience performing deep-dive analyses and define key business metrics that inform strategy
</li><li>Familiarity with A/B testing and experimentation frameworks, including designing and analyzing experiments
</li><li>Familiarity with statistical analysis and/or predictive modeling concepts
</li><li>Familiarity with data warehouse and pipeline concepts and tools (e.g., Google Cloud Platform, BigQuery, Airflow, or similar)
</li><li>Experience working in Agile or other fast-paced development environments
</li><li>Strong communication skills with the ability to translate complex data into clear, actionable insights, with a high level of attention to detail
</li>Interest in travel, hospitality, or airport/lounge experiences is a plus 
<li>
</li></ul>Salary Range: $78,000.00 to $124,750.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit our Colleague Benefits Site .
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster
Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.</div>

Analyst - Data Analytics Digital Lounge Services

Comcast

<div>Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. 
Job Summary
The Deal Pricing &amp; Analytics Analyst will be a key member of the Commercial Finance team, responsible for evaluating and validating deal proposals and their associated financial models submitted by the Sales and Revenue Operations teams. This role plays a critical part in ensuring financial integrity and strategic alignment of non-standard commercial deals. This role will require the analyst to contribute to the first step in the financial review process for complex deal structures, providing insightful analysis and recommendations to support decision-making. A core responsibility includes facilitating two weekly Review Board meetings (US and International), where cross-functional leadership, including Strategy, Legal, Product, Operations, and Finance, assesses and approves non-standard deals. This role will also give the analyst an opportunity to be involved in deal approval processes across FreeWheel&rsquo;s platforms, giving them exposure to the breadth of FreeWheel&rsquo;s offerings in addition to other teams throughout the org. This role requires strong analytical skills, attention to detail, and the ability to collaborate across departments to balance commercial opportunities with financial discipline.
Job Description
Our Team &amp; You:
The FreeWheel Finance team has strong business partnerships and influence throughout the company. We drive financially informed decisions in support of leadership&rsquo;s strategic objectives. We are also focused on process improvement to create an efficient transactional infrastructure for both our internal and external customers. We require a strong detail-oriented analyst to support the Deal Pricing &amp; Analytics team.
The FreeWheel Finance leadership team has a proven track record of talent development. We invest in our team members and partner with them on their career development by offering a wide range of opportunities, including mentorships, special project assignments, and executive exposure.
Detailed Responsibilities:<ul><li>
Vet and review deal models provided by Sales, scrutinizing key inputs such as pricing, volume assumptions and customer commitments to ensure they reflect realistic financial outcomes</li><li>
Prepare and package up content for regular US and International &ldquo;Review Board&rdquo; meetings that include cross-functional stakeholder leadership</li><li>
Review and submit new business or renewal proposals through Comcast's official deal approval process, providing executive leadership with succinct proposal briefs to assist with deal evaluation</li><li>
Package up proposals to brief Finance leadership on Streaming Hub platform deals that deviate from standard pricing, enabling informed decision-making</li><li>
Maintain and manage a centralized deal repository to ensure accurate logging of all proposal iterations and final deal terms</li><li>
Periodically conduct post-mortem analysis of closed deals to assess pricing accuracy and compare actual performance against financial projections.</li><li>
Develop dashboards or reports to track deal approval metrics (e.g., turnaround time, approval rates, deal size)</li><li>
Special projects and ad-hoc data requests / deal analyses as assigned</li></ul>
General Requirements / Skills and Qualifications:<ul><li>Bachelor&rsquo;s degree in finance, accounting or another analytical discipline</li><li>1+ years of experience in revenue operations or similar capacity within a finance function, or as an intern/analyst/associate at a fast paced, high-growth startup, or similar environment</li><li>Proven ability to collaborate across diverse teams and functions, bringing stakeholders together to align on deal strategy, financial assumptions, and approval outcomes</li><li>Ability to effectively work and communicate with finance and non-finance people alike</li><li>Highly skilled in analytics and financial modeling - Excel formula knowledge is a must (INDEX,MATCH,SUMIF,PivotTable etc)</li><li>Ability to effectively manage workload, prioritize and streamline tasks to ensure accuracy and, take &ldquo;ownership-mentality&rdquo; in work</li><li>Meticulous attention to detail while having the ability to read through in-depth data reports or complex models and pull-out key takeaways</li><li>Positive and enthusiastic collaborator within internal teams and cross-functionally</li><li>Experience with Salesforce, Tableau, Looker, Snowflake, PowerBI, a plus</li><li>General familiarity with the marketplace business model, as well as the competitive landscape and operational models of Ad-Serving Companies, Supply Side Platforms (SSPs), Demand Side Platforms (DSPs), Programmatic Advertising, Media Agencies / Trading Desks a plus</li></ul>
Employees at all levels are expected to:<ul><li>
Understand our Operating Principles; make them the guidelines for how you do your job.</li><li>
Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.</li><li>
Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.</li><li>
Win as a team - make big things happen by working together and being open to new ideas.</li><li>
Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.</li><li>
Drive results and growth.</li><li>
Support a culture of inclusion in how you work and lead.</li><li>
Do what's right for each other, our customers, investors and our communities.</li></ul>
Disclaimer:<ul><li>
This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.</li></ul>
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. 
Skills:
Problem Solving; Stakeholder Management; Accountability; Analytical Thinking; Financial Analysis 
Salary:
Primary Location Pay Range: $88,971.76 - $133,457.64
Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. 
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That&rsquo;s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. 
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
5-7 Years</div>

Sr. Pricing Analyst

Criteo

<div><h3 class="jobSectionHeader">What You'll Do:</h3>
As part of the Retail Media Brand Analytics team the analyst will provide support to internal and external stakeholders. For internal stakeholders, this includes campaign troubleshooting, sales collateral development and client support. For external stakeholders, it includes custom insights and reporting, incrementality A/B testing, and troubleshooting. The ideal candidate is someone who can structure and formulate data to answer business questions.
You will:<ul><li>
Support internal and external stakeholders with advanced analytics, insights, reporting and assist with client meetings, campaign troubleshooting, where required.</li><li>
Develop self-service Tableau reports to help internal and external stakeholders improve their campaign and keyword bidding strategies.</li><li>
Work with an agentic AI system to auto-generate queries to increase efficiency in developing queries to pull custom data.</li><li>
Develop seasonal holiday insights to support sales efforts for key events</li></ul><h3 class="jobSectionHeader">
Who You Are:</h3><ul><li>
3-4+ years experience required</li><li>
Ideal educational background and/or certificates needed Math, economics, econometrics, analytics, engineering, computer science, any data and analytics-related background</li><li>
Hands-on experience developing reporting, insights and other analytics to internal or external clients.</li><li>
Strong technical background, but also some business acumen; Experience with AdTech is a plus.</li><li>
Stack SQL, Python, Tableau</li><li>
Knowledge of Tools / Systems Ad tech or marketing analytics experience preferred, but not required</li></ul>
We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we&rsquo;d love to see your application!
<h3 class="jobSectionHeader">Who We Are:</h3>
We&rsquo;re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses. 
 
At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment. 
 
We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs&mdash;never on non-job-related factors or legally protected characteristics.
<h3 class="jobSectionHeader">What We Offer:</h3><div>
 Ways of working &ndash; Our hybrid model blends home with in-office experiences, making space for both.
 Grow with us &ndash; Learning, mentorship &amp; career development programs.
 Your wellbeing matters &ndash; Health benefits, wellness perks &amp; mental health support.
 A team that cares &ndash; Diverse, inclusive, and globally connected.
 Fair pay &amp; perks &ndash; Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.
</div><div></div><div>Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.</div>
For employees based in the US, certain roles at Criteo are eligible for additional rewards, including quarterly or annual bonus and restricted stock units. US-based employees receive access to healthcare, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, family forming and wellness benefits, Flexible Work financial support, learning opportunities, and a robust annual leave plan including volunteer time off and summer vacation days.
The US base salary pay range for this position per year is:
$115,000 - $140,000</div>

Sr. Data Analyst

Payoneer

<div>
 
 About Payoneer
 
 
 
 Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world&rsquo;s underserved businesses to a rising global economy. We&rsquo;re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
 
 
 By taking the complexity out of the financial workflows&ndash;including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence&ndash;we give businesses the tools they need to work efficiently worldwide and grow with confidence.
 
 
 
 Location: NYC
 
 
 Hybrid
 
 
 Full-time
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Data Analyst
 
 to join our
 
 Operations
 
 team in the Americas region. The ideal candidate will have a background in analytics, proven experience in SQL, and is an expert at building dashboard solutions that provide our business leaders with the data and insights they need to help service our customers with excellence.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Provide accurate and user-friendly data models, insight, reports, and dashboards
 </li>
 <li>
 Analyze data, track operational performance, alert and analyze abnormal trends
 </li>
 <li>
 Work with different stakeholders in the company, such as Operations, BizDev, Product, Tech and Program Managers
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of working experience as a Data Analyst in tech/fintech companies
 </li>
 <li>
 3+ years of experience building dashboards with visualization platforms - Power BI, Tableau, Looker, etc.
 </li>
 <li>
 Degree in Industrial Engineering, Statistics, Software Engineering, Computer Science, Mathematics or another quantitative field
 </li>
 <li>
 Highly experienced with SQL
 </li>
 <li>
 Experience working with Python, with focus on Pandas - advantage!
 </li>
 <li>
 Experience with data modelling, BI/ETL development. - advantage!
 </li>
 <li>
 Experience working in cloud environments (Google Cloud Platform, BigQuery) preferred
 </li>
 <li>
 Experience working with operational KPI Metrics
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Discounted medical, dental, and vision insurance (coverage starts on day one) HSA and FSA
 </li>
 <li>
 401K with employer match
 </li>
 <li>
 Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 Fitness/Wellness reimbursement
 </li>
 <li>
 Generous PTO, paid holidays, and parental leave
 </li>
 <li>
 Learning and development opportunities
 </li>
 <li>
 Flexible work from home schedule
 </li>
 <li>
 Volunteer activities
 </li>
 <li>
 Fun office culture with supportive leadership
 
 
 </li>
 </ul>
 
 In accordance with New York City Law, below is the annual base salary range for this position. Actual annual base salary is based on, but not limited to: experience, education, professional licenses, location and business needs. The position is eligible for health insurance, disability insurance, life insurance, 401k plan, paid-time off, and sick (and where applicable safe) leave.
 
 This position is also eligible for a discretionary year-end bonus.
 
 
 
 
 
 The annual base salary range for this position is: $85,000 - $100,000.
 
 
 
 
 The Payoneer Ways of Working
 
 
 
 
 Act as our customer&rsquo;s partner on the inside
 
 
 
 
 Learning what they need and creating what will help them go further.
 
 
 
 
 Do it. Own it.
 
 
 
 
 Being fearlessly accountable in everything we do.
 
 
 
 
 Continuously improve
 
 
 
 
 Always striving for a higher standard than our last.
 
 
 
 
 Build Each Other Up
 
 
 
 
 Helping each other grow, as professionals and people.
 
 
 
 If this sounds like a business, a community, and a mission you want to be part of, apply today.
 
 
 
 We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
 
 
 
</div>

Ops Data Analyst

Capgemini

<div>
 <ol>
 <li>
 
 You must relocate to Seattle from New York at your own expense to start in May 4 2026
 
 </li>
 <li>
 
 You must have 1 to 3 years working experience after your graduation
 
 </li>
 <li>
 
 You must work full time in office (no remote, no contracting and no C2C)
 
 </li>
 </ol>
 
 
 
 
 Job Summary
 
 
 We are seeking a full time
 
 Data Analyst
 
 with 2&ndash;5 years of experience to join our growing analytics and AI team working in our office in Seattle. The ideal candidate will have hands-on experience building data-driven solutions using
 
 Microsoft Azure
 
 services and
 
 OpenAI technologies
 
 .
 
 We will provide 6 weeks of training.
 
 
 
 
 
 
 This role is well suited for an early-career professional who is eager to apply machine learning, analytics, and generative AI to solve real-world business problems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop, validate, and deploy data science and machine learning models using
 
 Azure-based platforms
 
 </li>
 <li>
 Leverage
 
 OpenAI models (e.g., Azure OpenAI Service)
 
 for use cases such as text analytics, summarization, chatbots, and automation
 </li>
 <li>
 Perform data preparation, feature engineering, exploratory data analysis, and model evaluation
 </li>
 <li>
 Collaborate with business stakeholders to translate requirements into analytical and AI-driven solutions
 </li>
 <li>
 Build and maintain data pipelines using Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks)
 </li>
 <li>
 Create insights, dashboards, and visualizations to communicate results effectively
 </li>
 <li>
 Participate in model monitoring, performance tuning, and continuous improvement
 </li>
 <li>
 Follow best practices related to data governance, security, and responsible AI
 </li>
 </ul>
 
 
 
 
 Required Qualifications
 
 <ul>
 <li>
 1&ndash;3 years of experience in data science, analytics, or a related role
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 (and/or R)
 </li>
 <li>
 Experience with
 
 Microsoft Azure
 
 , including one or more of:
 </li>
 <li>
 Azure Machine Learning
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure Data Factory or Synapse Analytics
 </li>
 <li>
 Practical experience working with
 
 OpenAI or Azure OpenAI Service
 
 </li>
 <li>
 Solid foundation in statistics, machine learning, and data modeling
 </li>
 <li>
 Experience working with structured and unstructured data
 </li>
 <li>
 Ability to communicate technical concepts to non-technical audiences
 </li>
 </ul>
 
 
 
 
 Preferred / Nice-to-Have Qualifications
 
 <ul>
 <li>
 Experience with
 
 SQL
 
 and relational or cloud-based data warehouses
 </li>
 <li>
 Exposure to
 
 Generative AI, prompt engineering, or LLM-based applications
 
 </li>
 <li>
 Familiarity with Power BI or similar data visualization tools
 </li>
 <li>
 Knowledge of MLOps practices and model deployment pipelines
 </li>
 <li>
 Experience in agile or cross-functional team environments
 </li>
 </ul>
 
 
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
 </li>
 </ul>
 
 
 
 
 The base compensation range for this role in the posted location is $46,400 to $111,090.
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 </li>
 </ul>
 
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 
 
 
 Click the following link for more information on your rights as an Applicant in the United States.
 
 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
 
 
 
</div>

Azure Data Analyst - Open AI in Seattle

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