analytics analyst

Horizon Media, Inc.

<div>Job Description
<div><div>Who We Are
</div><div>Horizon Next 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.
 
 
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. 
</div><div>Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. 
</div><div>Our Department 
 
</div><div>Job Summary
 
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.
</div><div>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.
</div><div>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. 
</div><div>What You&rsquo;ll Do
</div><div>8 0% Development and Enhancement of data and analytics capabilities :
</div><div><ul><li>Assist in statistical modeling and marketing performance analysis to provide insights into media planning and buying.
</li></ul></div><div><ul><li>Constantly look for ways to improve the usage of Horizon&rsquo;s existing data and analytics infrastructure.
</li></ul></div><div><ul><li>Work with stakeholders to improve current analytic processes and develop new capabilities that set us apart in the marketplace.
</li></ul></div><div><ul><li>Use automation and technology to increase efficiency and to provide the infrastructure to scale.
</li></ul></div><div><ul><li>Bring an &ldquo;outside in perspective&rdquo; to analytic development; explore, identify and assess external best practices - and translate to relevant application internally. 
</li></ul></div></div><div><div>20% Cultivating and maintaining effective working relationships- internally and externally :
</div><div><ul><li>Establish and maintain excellent working relationship with key functional areas, as well as HMI Analytics and other stakeholders throughout Horizon.
</li></ul></div><div><ul><li>Act as a liaison between the Analytics team and the internal Brand, Activation and Operational areas. 
</li></ul></div><div>Preferred Skills &amp; Experience
</div><div><ul><li>Bachelor&rsquo;s degree required plus 0-1 years of industry experience, Master&rsquo;s degree preferred (or, concurrent).
</li></ul></div><div><ul><li>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.
</li></ul></div><div><ul><li>Academic or applied exposure to Programming/scripting (R, Python, SQL).
</li></ul></div><div><ul><li>Experience in the Advanced Analytics realm, preferably in media, marketing or an adjacent field.
</li></ul></div><div><ul><li>Excellent problem-solving skills and a dogged determination to work an issue through to its satisfying conclusion are both a must.
</li></ul></div><div><ul><li>Ability to generate clear, concise and comprehensive analyses that tell the story behind the data .
</li></ul></div><div><ul><li>Exposure to large data sets (&ldquo;big data&rdquo;) and analysis thereof a major plus.
</li></ul></div><div><ul><li>Persistence - Demonstrate t enacity and willingness to go the distance
</li></ul></div><div><ul><li>Comfortable in dealing with ambiguity and managing change, plus the capacity to move through roadblocks with enthusiasm and alacrity.
</li></ul></div><div><ul><li>Strong verbal communication skills, extremely well-organized.
</li></ul></div><div><ul><li>Analytical mindset with knowledge and passion for media, data , statistics and technology.
</li></ul></div><div><ul><li>Collaborative, can-do attitude , a must.
</li></ul></div><div><ul><li>Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously. 
</li></ul></div><div>Certificates, Licenses and Registrations
 
N/A 
</div></div><div> 
Physical Activity and Work Environment
</div><div>N/A 
</div><div>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 employer.
</div>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.
Salary Range
$80,000.00 - $95,000.00
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. As an organization, we take an aptitude and competency-based hiring approach. 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.</div>

Analyst, Advanced Analytics

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

Ventas, Inc.

<div>
 
 Job Description
 
 
 
 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.
 
 
 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.
 
 
 
 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>
 Proficiency in SQL and Python required.
 </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.
 
 
 
 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

SS&C Technologies

<div>
 As a leading financial services and healthcare technology company based on revenue, SS&amp;C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&amp;C for expertise, scale, and technology.
 
 
 
 Job Description
 
 
 
 
 Job Title
 
 Data Analyst
 
 
 
 Locations
 
 : Jacksonville, FL, New York, NY, Chicago, IL, Boston, MA | Hybrid
 
 
 
 About The Role
 
 
 
 SS&amp;C Advent delivers financial technology solutions and services to financial services clients in the asset management, wealth management, and alternative investment space around the globe.
 
 
 This role owns end‑to‑end data science projects, applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The individual translates data into actionable insights, contributes to the analytics roadmap, and helps build scalable data science infrastructure while collaborating closely with stakeholders
 
 
 
 Why Join SS&amp;C
 
 
 
 SS&amp;C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence.
 
 
 You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments.
 
 
 
 How You Will Make An Impact
 
 
 
 <ul>
 <li>
 Manage and execute entire project from start to finish (problem solving, data gathering, data manipulation, predictive modeling, and key stakeholder engagement)
 </li>
 <li>
 Demonstrate technical knowledge on feature engineering, effective exploratory data analysis, and building statistical models
 </li>
 <li>
 Implement code (Python, R, Scala, SQL, etc.) for analyzing data and building machine learning and econometric models to solve specific business problems
 </li>
 <li>
 Translate analytic insights into actionable recommendations
 </li>
 <li>
 Contribute to the scientific roadmap
 </li>
 <li>
 Research, learn, and adapt new modeling techniques and procedures to solve complex business problems
 </li>
 <li>
 Build a common data science infrastructure that will house statistical models and enable scientists to run experiments on a large variety of project
 </li>
 <li>
 Produce and maintain technical documents
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; or data science practitioner for 3+ years
 </li>
 <li>
 Solid experience in descriptive analytics (reporting, querying, scorecards, dashboard building, visualization, presentations, etc.)
 </li>
 <li>
 Experience in data mining and data engineering techniques (gathering, preparing, cleansing, and transforming data) to find patterns and build models
 </li>
 <li>
 2+ years of experience in predictive analytics (statistical data modeling, predicting what customers would do, how customers would respond to marketing campaigns, how client experience would improve, etc.)
 </li>
 <li>
 Experience in supervised methods (classification, regression, causal modeling) and unsupervised methods (clustering, co-occurrence grouping, profiling)
 </li>
 <li>
 Experience programming in R, Scala, Python (Django, Flask, Pyramid, etc.), or similar languages and maintaining code repositories
 </li>
 <li>
 Experience formulating and testing hypotheses using tools like Jupyter notebooks, R, Julio, etc.
 </li>
 <li>
 Create prototype machine learning or statistical models using open-source packages, such as SciKit Learn, PyTorch, Tensorflow, Stan, or equivalent
 
 
 </li>
 </ul>
 
 What Sets You Apart (preferred Qualifications)
 
 
 
 <ul>
 <li>
 Experience in building prescriptive analytics (optimization, randomized test, designing experiments, simulations, finding optimum price, etc.)
 </li>
 <li>
 Experience in building business intelligence automation using platforms such as Snowflake, Salesforce, QuickSight, Tableau, or similar
 </li>
 <li>
 Working knowledge of optimizers (i.e. Gurobi) or solvers (GLPK, LP_Solve)
 </li>
 <li>
 Previous experience integrating multiple applications and data APIs
 </li>
 <li>
 Knowledge of software development life cycle (coding standards, code reviews, source control, build processes, testing, and operations)
 </li>
 <li>
 Familiarity with front-end technologies such as HTML5 and JavaScript
 </li>
 <li>
 Leadership skills and ability to work well with others
 
 
 </li>
 </ul>
 Join SS&amp;C, where innovation meets global opportunities. Click here to apply.
 
 
 
 #CA-MG
 
 
 
 Unless explicitly requested or approached by SS&amp;C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
 
 
 SS&amp;C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.
 
 
 Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.
 
 
 New York: The expected base salary for the position is between 90,000 USD to 110,000 USD. Other States expected base salary for the position is between 90,000 USD to 110,000 USD. Illinois: The expected base salary for the position is between 90,000 USD to 110,000 USD. Massachusetts: The expected base salary for the position is between 90,000 USD to 110,000 USD.
 
 
 In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company&rsquo;s discretion.
 
 
 Applications will be accepted on an ongoing basis until the position is filled.
 
 
 SS&amp;C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.
 
 
</div>

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

YipitData

<div>
 
 About Us:
 
 
 
 YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
 
 
 Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers&mdash;ranging from the world's top investment funds to Fortune 500 companies&mdash;depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
 
 
 We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture&mdash;recognized by
 
 Inc.
 
 as a Best Workplace for three consecutive years&mdash;emphasizes transparency, ownership, and continuous mastery.
 
 
 
 What It's Like to Work at YipitData:
 
 
 
 YipitData isn't a place for coasting&mdash;it's a launchpad for ambitious, impact-driven professionals.
 
 
 From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
 
 
 Why Top Talent Chooses YipitData:
 
 
 <ul>
 <li>
 
 Ownership That Matters
 
 : You'll lead high-impact projects with real business outcomes
 </li>
 <li>
 
 Rapid Growth
 
 : We compress years of learning into months
 </li>
 <li>
 
 Merit Over Titles
 
 : Trust and responsibility are earned through execution, not tenure
 </li>
 <li>
 
 Velocity with Purpose:
 
 We move fast, support each other, and aim high&mdash;always with purpose and intention
 
 
 </li>
 </ul>
 If your ambition is matched by your work ethic&mdash;and you're hungry for a place where growth, impact, and ownership are the norm&mdash;YipitData might be the opportunity you've been waiting for.
 
 
 
 YipitData Signals:
 
 
 
 YipitData Signals is the platform we're building to help private investors see how any private company is performing, leveraging numerous proprietary spend datasets with more data on the way. We launched coverage late last year with data on 250k+ AI and Software vendors, and we're quickly scaling both the platform and the org.
 
 
 Signals is a small and scrappy team operating inside a billion-dollar company, which means you get the best of both worlds: startup speed with enterprise resources. We ship fast, iterate constantly, and wear many hats. If you thrive in environments where you can see the direct impact of your work, move from idea to execution in days (not quarters), and want to help shape a product's trajectory from the ground floor, this is the place for you.
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Product Analyst to join the Signals team and help us hit our ambitious 2026 goals. This is not a role where you'll be a cog in a machine. On a small team building a product at a rapid pace, you'll operate across many surfaces: vetting new data sources, running customer-facing analysis, building product feedback loops, and designing pipeline refactors to improve accuracy. You'll be expected to ramp up fast, take ownership immediately, and operate with a high degree of autonomy. We're looking for someone with 4&ndash;6 years of experience who is eager to deepen their data analysis skill set, get direct exposure to private investor clients, and thrive in a fast-moving, high-accountability environment.
 
 
 
 As a Data Product Analyst, you will:
 
 
 
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 Become a core owner of Signals data products &ndash; you will help prioritize and vet new data sources and design their incorporation into our pipelines and platform
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 Work closely with our AI and Data Engineering teams to build and maintain cutting-edge AI-tagging systems
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 Design, maintain, and run QA processes to validate data across hundreds of thousands of vendors, proactively catching issues before they reach clients
 </li>
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 Investigate and resolve complex data quality issues independently. On a small team, there's no one to hand things off to; you own the problem through to resolution
 </li>
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 Serve as a trusted resource for internal and external stakeholders by deeply understanding client use cases and aligning them with our data methodologies, coverage, and limitations
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 Conduct and deliver detailed analytical write-ups on specific vendors, sectors, or trends that showcase the power of Signals data and drive client engagement
 </li>
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 Collaborate cross-functionally with Engineering, Product, and Go-to-Market to ship improvements fast&mdash;whether that's adding new data to the platform, improving accuracy, or reducing data lag times
 </li>
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 Help shape the product roadmap by translating customer feedback and data quality insights into actionable improvements
 </li>
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 Proactively identify opportunities to improve efficiency, robustness, and data quality within team workflows and build AI automation where possible
 
 
 </li>
 </ul>
 
 You Are Likely To Succeed If:
 
 
 
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 You have 4&ndash;6 years of experience in data analytics, data operations, consulting, or a related field
 </li>
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 You have 4+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets, and you're familiar with GitHub and Databricks
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 You have experience using sample or panel data to make precise estimates that guide decision-making
 </li>
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 You are scrappy and resourceful&mdash;you figure things out without waiting to be told what to do
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 You thrive in ambiguity and fast-paced environments where priorities shift, and you need to adapt quickly
 </li>
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 You have excellent attention to detail and a natural instinct for spotting data anomalies
 </li>
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 You communicate clearly and concisely&mdash;both in writing and verbally
 </li>
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 You are intellectually curious about technology markets, business trends, and care about how data is used to influence decision-making
 </li>
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 You take ownership of problems and drive them to completion without constant oversight&mdash;on a small team, self-direction is essential
 
 
 </li>
 </ul>
 
 What You'll Get:
 
 
 
 
 
 <ul>
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 An outsized role on a small, high-growth team where your contributions are immediately visible and directly tied to revenue outcomes
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 The chance to help build a product from its early stages inside a well-funded, billion-dollar company
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 Exposure to top-tier PE firms and hedge funds as clients
 </li>
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 Rapid professional development through breadth of responsibility
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 A team culture that values moving fast and building something great together
 
 
 </li>
 </ul>
 
 Our compensation package includes comprehensive benefits, perks, and a competitive salary:
 
 
 
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 We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
 </li>
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 Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
 </li>
 <li>
 
 The annual on-target earnings for this position is anticipated to be up to $170K annually + bonus element. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
 
 
 
 </li>
 </ul>
 
 This role may be performed fully remotely within the United States.
 
 Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View.
 
 If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
 
 
 
 
 Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
 
 
 
 
 We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.
 
 
 
 Job Applicant Privacy Notice
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Data Product Analyst, Signals

Digitas North America

<div>
 
 Company Description
 
 
 
 Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign&rsquo;s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world&rsquo;s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
 
 
 The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.
 
 
 
 Overview
 
 
 
 
 Analyst, Data and Analysis
 
 
 
 The Data &amp; Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
 
 
 To help with this, we&rsquo;re looking for an outstanding Analyst &ndash; someone who has a knack for understanding data and telling the story of why it matters. You&rsquo;ll learn from the best in the business as you work with the team to bring actionable insights to our clients. Up for it? Read on.
 
 
 As an Analyst, you&rsquo;ll lay the groundwork and contribute to day-to-day reporting needs for client marketing efforts. You&rsquo;ll work on brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
 
 
 
 Day-to-day, Your Role Includes
 
 
 
 <ul>
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 Keeping a pulse on day-to-day performance data, including display media, site, search, email, and/or social campaigns
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 Working in a variety of reporting systems and databases for the creation of recurring reports and dashboards
 </li>
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 Identifying nuances in data to optimize our clients&rsquo; business
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 Supporting marketing initiatives across project and campaign lifecycles, including measurement plans, primary and secondary research, and performance reporting
 </li>
 <li>
 Expanding industry knowledge and relevant skillsets through internal training
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 We&rsquo;re looking for strong, impactful work experience, which typically includes:
 
 
 
 <ul>
 <li>
 1-3 years of work experience in a relevant industry
 </li>
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 A four-year college degree
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 Passion for digital marketing, eagerness to learn in a constantly-changing space, and a natural curiosity
 </li>
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 Familiarity with Excel and/or other data analysis tools such as SQL or Tableau a plus
 </li>
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 Comfortable in a fast-paced and deadline-driven environment
 </li>
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 Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL&middot;E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.
 
 
 </li>
 </ul>
 Got the sparkle? Apply if you believe your unique skills are a fit. We&rsquo;d love to hear from you!
 
 
 2026-146472
 
 
 
 Additional Information
 
 
 
 Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
 
 
 If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
 
 
 Compensation Range: $55,765 - $85,878 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 6/1/2026.
</div>

Analyst, Data and Analysis

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