data analyst

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business development intern

business intelligence analyst

Roc Nation

<div>
 
 Job Summary
 
 
 
 Title: Data Analyst
 
 
 Reports to: Sr. Director, Data Science &amp; Analytics
 
 
 Location: New York, NY (On-Site, 5 days a week in office)
 
 
 
 The Role
 
 
 
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 
 
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
 </li>
 <li>
 Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
 </li>
 <li>
 Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
 </li>
 <li>
 Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
 </li>
 <li>
 Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
 </li>
 <li>
 Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
 </li>
 <li>
 A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
 </li>
 <li>
 Ability to clearly articulate insights to a non-technical audience
 </li>
 <li>
 Comfortable partnering with engineering to define business requirements for dataset and metric development
 </li>
 <li>
 Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
 </li>
 <li>
 Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
 
 
 </li>
 </ul>
 Bonus Points For
 
 
 <ul>
 <li>
 Experience with python, dbt, and analytics engineering concepts
 </li>
 <li>
 Direct music industry experience
 
 
 </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 
 
 
 Benefits &amp; Perks
 
 
 
 
 HEALTH
 
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 
 
 
 YOURSELF
 
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 
 
 
 CAREER
 
 : Career and skill development programs with School of Live
 
 
 
 WEALTH
 
 : 401(k) program with company match
 
 
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 
 
 
 The Expected Compensation For This Position Is
 
 
 
 $68,000.00 USD - $85,000.00 USD
 
 
 <ul>
 <li>
 Pay is based on a number of factors including market location, qualifications, skills, and experience.
 
 
 </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</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

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Rapid &amp; Rural Logistics (R2L) team is seeking a Business Intelligence (BI) Engineer to join the Analytics Team. The R2L team, which includes Sub Same Day (SSD), covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities. R2L exists solely to meet the goal of quick, accurate delivery, which is constantly being challenged and changed as we adapt to our customer demands and make improvements. To meet this goal, R2L must remain flexible at all times, adapting to all changes and growth that come our way. As a Business Intelligence (BI) Engineer, your focus will be on providing metrics, operational insights, and other analytical support to stakeholders for the Sub-Same Day (SSD) Delivery business. The Delivery BI team partners closely with Delivery and operations teams to influence the strategic direction of the business, drive operational excellence, and make sound investment and expansion decisions, with the primary goal of continuously improving the customer experience while driving long-term profitability for our portfolio of businesses. We experiment constantly, fail fast, and never stop learning. 
 
The ideal candidate will draw upon advanced analytical and problem-solving skills, along with a passion for building solutions for automated operational management. The successful leader of this team will collaborate effectively with internal end-users, cross-functional stakeholders, and technical teams to enable data-driven decision-making. They must be a self-starter, show strong bias for action, be comfortable with ambiguity, and be able to think big and be creative to support a rapidly growing business. They will provide technical and business expertise in integrating data from various source systems and presenting it through an array of self-service applications. We look for candidates who are excellent communicators, inspiring leaders, self-motivated, flexible, hardworking, and who like to have fun. If you are excited about data, are results-oriented, and want to join a growing analytics team, this role is for you. 
 
Key job responsibilities 
The successful candidate is a seasoned data professional with a strong bias for action, data modeling, proficiency with data visualization tools, ETL, SQL, and scripting skills. In this role, you will help identify complex business problems, recognize opportunities, and implement solutions to improve operations and finance-facing systems, processes, and tools. The successful candidate will provide technical expertise in extracting, integrating, and analyzing critical data, clearly communicate any potential discrepancies and/or reporting downtime, including specific root causes and steps to resolution, and design and develop key performance metrics and indicators. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, results-oriented with strong attention to detail, insist on high standards, and adapt to a rapidly evolving environment. A typical day in this role provides an opportunity to build innovative data solutions with large-scale systems, identify high-priority work and projects that maximize results for key stakeholders, and solve complex problems that impact company-wide strategic decisions. Further, you will help automate processes by developing deep-dive tools, metrics, and dashboards to communicate these insights in real-time to business teams. Successful members of this team collaborate effectively with business customers and cross-functional data management teams to solve problems and implement new solutions. 
 
A day in the life 
A typical day in this role provides opportunities for building innovative solutions with large-scale data tools, identifying high-priority work and projects that maximize results for key stakeholders, and solving complex problems that impact company-wide strategic decisions. 
<ul><li>Take detailed requirements from stakeholders to deeply understand their current manual processes and pain points</li><li>Think creatively to identify opportunities to solve problems using technology-driven solutions</li><li>Design and implement optimal automation solutions to address stakeholder needs</li><li>Respond to ad hoc requests and provide support as needed</li><li>Thoroughly document all processes, solutions, and learnings to ensure knowledge capture and sharing</li></ul> 
About the team 
The Rapid and Rural Logistics team covers a portfolio of high-growth businesses with unique fulfillment and operational capabilities such as Sub Same Day (SSD). Our team needs to move fast and scale quickly with the growing businesses we support. We expect you to be able to identify one- vs two-way doors and make decisions on your own, requesting help when necessary. Strong bias for action is important. Technical skills must be balanced against people skills and business acumen so you can work with stakeholders to understand their needs and deliver the optimal BI solution.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field</li><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience writing complex SQL queries</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li><li>Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working directly with business stakeholders to translate between data and business needs</li><li>Experience managing, analyzing and communicating results to senior leadership</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 109,500.00 - 185,000.00 USD annually 
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually</div>

Business Intelligence Engineer, R2L Analytics

International Rescue Committee

<div>
 The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.
 
 
 
 External Relations Department
 
 
 
 The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functional areas: Private fundraising, Communications and Advocacy. The ER department is at the beginning stages of creating a radical and ambitious global strategy that will enhance IRC&rsquo;s ability to &lsquo;punch above its weight&rsquo; in private income, advocacy, and brand awareness. The main objective of the department is to enable this organization of more than 12,000 staff to have the resources needed to continue serving 18 million people worldwide in places affected by war and disaster, shape the humanitarian sector by influencing key policies and reforms, and build and grow IRC&rsquo;s reputation.
 
 
 
 Global Analytics Team
 
 
 
 This role sits within the Global Analytics team, a team of data analysts, data scientists and data engineers, who support fundraising efforts with data, analysis and reporting. The team is split into two pillars: Analytics Engineering &amp; BI (focussed on data engineering and business intelligence); and Global Analytics (focussed on custom analysis, experimentation, and machine learning). You can expect to work across both pillars on a range of analysis and BI projects. You will report into the Associate Director, Global Analytics.
 
 
 
 Job Overview
 
 
 
 We are looking for an analytical and curious Data Analyst to join our team, focusing on marketing, financial and behavioral insights. As a Data Analyst within our Global Analytics team, you will work closely with senior analysts, learning from their expertise while supporting data-driven insights for our fundraising efforts across the globe. This is an excellent opportunity for someone earlier in their analytics career to develop their skills through hands-on project work and mentorship from experienced team members.
 
 
 Part of this role involves working with the Korea team, acting as a key link between the analytics function (based across the UK and US) and Korea-based colleagues. This is an excellent opportunity to develop your stakeholder engagement and communication skills while contributing to a key market. You will also work with broader cross-functional teams, including fundraising, marketing, and finance, to deliver actionable insights that enhance donor engagement and maximize fundraising outcomes.
 
 
 
 Major Responsibilities
 
 
 
 
 
 Data Analysis &amp; Reporting
 
 
 
 
 <ul>
 <li>
 Analyze and interpret datasets to identify trends, patterns, and insights that support global fundraising strategies.
 </li>
 <li>
 Create and maintain dashboards, visualizations, and reports to track fundraising performance and donor engagement metrics.
 </li>
 <li>
 Produce regular performance reports for key stakeholders, highlighting actionable insights and areas of opportunity for growth.
 </li>
 <li>
 Support the development of data models and reports for external benchmarking to assess performance against peers and identify opportunities for new investments.
 
 
 </li>
 </ul>
 
 
 Insights &amp; Recommendations
 
 
 
 
 <ul>
 <li>
 Support senior analysts and leadership by providing analysis that feeds into strategic recommendations for improving fundraising effectiveness. You will develop your skills in translating analytical findings into business impact through close collaboration with more experienced colleagues.
 </li>
 <li>
 Contribute insights that support global fundraising campaigns, donor retention strategies, and personalized donor experiences.
 
 
 </li>
 </ul>
 
 
 Stakeholder Collaboration
 
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams (e.g., fundraising, marketing, and finance) to ensure data-driven decisions are integrated into the global strategy.
 </li>
 <li>
 Serve as a key analytics point of contact for the Korea team, coordinating data requests and communicating findings across languages and time zones.
 </li>
 <li>
 Present findings to stakeholders, explaining data insights in a clear and actionable manner.
 
 
 </li>
 </ul>
 
 
 Process Improvement &amp; Innovation
 
 
 
 
 <ul>
 <li>
 Identify opportunities to enhance data collection and reporting processes, ensuring accuracy, efficiency, and alignment with global goals.
 </li>
 <li>
 Keep abreast of industry trends and emerging analytics tools and contribute ideas for improving the team's capabilities.
 </li>
 <li>
 Collaborate with fellow Analytics colleagues to maintain best practices in coding, statistics, and general analysis.
 </li>
 <li>
 Work with integrity and accountability to the &ldquo;IRC Way&rdquo; &ndash; IRC Global Standards for Professional Conduct.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Demonstrated Skills and Competencies:
 
 
 
 <ul>
 <li>
 3+ years working in the field of data analytics.
 </li>
 <li>
 Experience with at least one programming or query language such as SQL, Python, or R.
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau or Looker.
 </li>
 <li>
 Experience working on analytics projects in a professional environment
 </li>
 <li>
 Strong analytical thinking and problem-solving skills with the ability to interpret data and provide actionable insights.
 </li>
 <li>
 Experience working with colleagues or stakeholders outside of your immediate team.
 
 
 </li>
 </ul>
 
 Language
 
 
 
 <ul>
 <li>
 Professional fluency in Korean and English (written and spoken) is essential.
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Curiosity and willingness to explore ambiguous problems and deliver actionable insights through both quantitative and qualitative data analysis.
 </li>
 <li>
 Comfortable working with people from different backgrounds, cultures, and experiences and enjoys working collaboratively as part of a distributed team.
 </li>
 <li>
 Able to work independently and take initiative, particularly in a remote team distributed across multiple time zones.
 </li>
 <li>
 Data visualization and communication skills: ability to "tell a story" with numbers in a variety of formats: PowerPoints, dashboards, memos, and presentations.
 </li>
 <li>
 Strong attention to detail and commitment to a high standard of work product.
 
 
 </li>
 </ul>
 
 Nice-to-Haves / Areas You Will Grow
 
 
 
 <ul>
 <li>
 Knowledge of marketing, ecommerce, or nonprofit fundraising analytics.
 </li>
 <li>
 Experience with Databricks and dbt.
 </li>
 <li>
 Experience with web analytics and behavioral data.
 </li>
 <li>
 Knowledge of Salesforce or similar CRM technology.
 </li>
 <li>
 Knowledge of dimensional modeling and experience with workflow orchestration tools.
 </li>
 <li>
 Experience working on analytics projects involving multiple stakeholders.
 
 
 </li>
 </ul>
 
 Working Environment
 
 
 
 <ul>
 <li>
 Standard office working environment.
 </li>
 <li>
 Some international travel may be required.
 </li>
 <li>
 This role may require working remotely full or part time and part time remote employees may be required to share workspace.
 </li>
 <li>
 Some flexibility in working hours is needed to maintain overlap with colleagues in Korea (KST). This flexibility goes both ways, and this is not an expectation of additional hours.
 </li>
 <li>
 This is a supportive team environment suited to someone looking to grow their analytics career, with regular opportunities for mentorship and skill development.
 
 
 </li>
 </ul>
 
 Compensation: (
 
 
 Pay Range:$85,000 - $92,000
 
 
 )
 
 Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.
 
 
 
 PROFESSIONAL STANDARDS
 
 
 
 All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.
 
 
 Cookies: https://careers.rescue.org/us/en/cookiesettings
 
 
 Compensation: Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.
 
 
 US Benefits: We offer a comprehensive and highly competitive set of benefits. In the US, these include: 10 sick days, 10 US holidays, 20-25 paid time off days depending on role and tenure, medical insurance starting at $163 per month, dental starting at $6.50 per month, and vision starting at $5 per month, FSA for healthcare and commuter costs, a 403b retirement savings plans with immediately vested matching, disability &amp; life insurance, and an Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles.
 
 
 Equal Opportunity Employer: IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by applicable law.
 
 
</div>

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

Data Scientist, Product Analytics

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
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 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
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 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
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 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
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 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
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 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
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 Minimum Qualifications:
 
 
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 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
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 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
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 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
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 Preferred Qualifications:
 
 
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 Master's or Ph.D. Degree in a quantitative field
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 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
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 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $147,000/year to $208,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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