Marketing Analytics & Data Science Manager - New York

Ekimetrics stands at the forefront of data science and AI solutions, dedicated to optimizing marketing and enhancing business performance since 2006. We are committed to fostering sustainable growth through innovative data-driven strategies.If you're passionate about solving complex business challenges using data and AI, and eager to shape your professional journey, Ekimetrics is the perfect place for you!At our New York office, we specialize in Marketing Analytics and the implementation of our ‘MMO’ (Marketing Mix Optimization) services, drawing upon our analytics-as-a-service expertise and proprietary data and AI platforms. With a team of over 400 professionals from diverse backgrounds (business, data, technology), we ensure seamless integration between strategy and execution, resulting in expedited delivery and measurable business impact. Key Highlights of Ekimetrics:· 400+ data science experts globally· 1000+ diverse projects & 350+ clients· 5 offices: Paris, Hong Kong, Shanghai, London, and New York· Awarded UK Data Company of the Year 2023· Recognized as a Great Place to Work 2023· Partnered with Microsoft for sustainability initiatives· Voted as a leader in “Marketing Measurement & Optimization” by Forrester Wave 2023

Ekimetrics stands at the forefront of data science and artificial intelligence solutions, delivering innovative strategies since 2006. Our mission revolves around harnessing data science to enhance marketing and business performance, all while steering our clients towards sustainable outcomes.If you possess a passion for decoding complex business challenges with data and AI, and you aspire to shape your career trajectory, Ekimetrics is the perfect place for you!At our New York office, we specialize in Marketing Analytics, focusing on our unique ‘MMO’ (Marketing Mix Optimization) offering that combines our analytics-as-a-service expertise with our proprietary data and AI platforms. Our team of 400 diverse experts, spanning business, data, and technology, ensures seamless integration between strategy and execution, leading to accelerated delivery times and measurable business impact. Key Highlights about Ekimetrics· Over 400 data science professionals globally· More than 1,000 diverse projects and 350+ clients· Offices located in Paris, Hong Kong, London, and New York· Awarded UK Data Company of the Year 2023· Recognized as a Great Place to Work in 2023· Partnered with Microsoft for sustainability initiatives· Acknowledged as a leader in “Marketing Measurement & Optimization” by Forrester Wave 2023

Join Analytic Partners as a Consultant in Marketing Science Analytics, where you will leverage your analytical skills to drive impactful decision-making for leading global brands. With nearly 25 years of experience, we specialize in transforming data into actionable insights, enabling our clients to unlock their growth potential. Our team of experts utilizes a cutting-edge platform to provide comprehensive solutions, ensuring that our clients can make informed decisions swiftly. As part of our Customer Engagement Team, you will play a vital role in shaping the future of analytics in various industries. With a diverse client base spanning over 50 countries, we have established offices in major cities including Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Poznan, Sydney, Melbourne, Charlottesville, and Denver. This is an exciting opportunity to join a fast-growing company that is recognized as a leader in the marketing analytics space by independent research firms such as Forrester and Gartner. To explore more about our innovative approaches, visit analyticpartners.com.

3-4 days minimum on-site attendance required in our New York, NY office.At LG Ad Solutions, we are at the forefront of connected TV (CTV) and cross-screen advertising, providing innovative advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:Join our new Data Analytics and Operations team within the Research department as we enhance ownership of analytics outputs and ensure our core data assets are primed for use. This role is pivotal in guaranteeing the reliability and usability of our data, transforming it into impactful insights for our business and clients.In this role, you will tackle complex problem spaces, set standards where they are lacking, and take ownership of converting intricate data into actionable outputs. Your ability to navigate uncertainties, trace issues across systems, and adapt strategies as you gain insights will be essential.Key Responsibilities:Engage with expansive and intricate datasets to analyze data behavior, quality, and downstream effectsUnderstand and adhere to analytics outputs, including acceptance criteria and documentation for consumptionCommunicate findings, risks, and recommendations effectively to technical and non-technical stakeholdersAssist in maintaining workflows that facilitate analytics delivery, leveraging automation and AI tools where applicableCollaborate closely with engineering, research, and product teams to identify issues and communicate resolutionsSpot gaps in data reliability or usability and take proactive steps to address themContribute to building an analytics discipline that prioritizes ownership, clarity, and impact over unnecessary processAutomate processes at scale – Transition manual, repetitive data tasks into efficient, reliable workflowsEnsure the accuracy, clarity, and reliability of all outputsConduct well-defined analyses and investigations under guidanceQualifications:Exceptional analytical and problem-solving capabilities with the aptitude to manage ambiguity2+ years of relevant experience with SQL or Python, comfortable working with raw and intermediate datasetsStrong communication skills, capable of translating complex information to diverse audiences

At StubHub, we are dedicated to transforming the live event experience on a global scale. Our mission is to ensure that whether someone is attending their first event or their hundredth, we provide unmatched delight from the moment they start searching for tickets until they step through the gate. We equally prioritize our sellers, from fans offering a single ticket to promoters of worldwide stadium tours, making StubHub the safest and most convenient platform for millions of fans across the globe.The Data Science team, a vital part of the broader StubHub Data organization, is seeking a seasoned and dynamic Data Science Manager to lead a growing team (currently consisting of 6 members, spanning from entry-level data scientists to senior staff) across diverse data science disciplines.As the largest secondary ticketing marketplace worldwide, StubHub generates vast amounts of consumer data, which we utilize to address unique and compelling predictive and inferential challenges in user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. In your role as Data Science Manager, you will collaborate closely with business leaders to translate their long-term strategic goals into actionable machine learning projects executed by your team on a daily basis. Your ability to provide technical oversight while fostering individual growth will be crucial to your team's long-term success.Your responsibilities will also encompass the technical and personal development of your team members, enhancing talent density through targeted mentorship, strategic career development, and excellence in execution. You will need to plan for team structure and growth as we invest more in machine learning, particularly in understanding optimal methods for building and applying generative AI solutions within our products.Joining at a pivotal moment for the Data Science practice and the company, you will play an essential role in shaping our future. While the value of this discipline is well-established and we have a high-performing team in place, we are not at a steady state. Key investment areas include establishing new depths of technical expertise (e.g., causal inference, graph ML), advocating for top-tier ML tools/platforms, and broadening the integration of data science across the organization. As a senior leader in this team, you will be instrumental in shaping and realizing this vision.

Join our dynamic team at Sonsoft Inc. as a Data Science Analytics Associate! In this exciting role, you will leverage data to derive actionable insights that drive strategic decisions. You will work with cutting-edge analytics tools and collaborate with cross-functional teams to enhance our data-driven initiatives.

ABOUT THE ROLEPeloton is embarking on an exciting new journey, transitioning from a leader in connected fitness to a holistic wellness ecosystem, fueled by groundbreaking innovation and data analytics. Our unwavering mission is to empower our global community to lead healthier, happier, and more fulfilling lives. As we reshape the future of health, we seek visionary leaders ready to create the frameworks that will enhance our world-class member experiences.Within our user-focused, results-oriented Product organization, the Product Analytics team plays a crucial role in providing strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The Senior Manager will lead a range of monetization and product analytics initiatives designed to effectively enhance Peloton’s member engagement while steering analytical efforts to refine our product strategy.We are in search of a Senior Manager, Product Analytics, who will take charge of high-impact projects, establish foundational frameworks, and manage a dedicated team of analysts.YOUR DAILY IMPACT AT PELOTONCollaborate closely with the Product Management Organization and key stakeholders to understand their business goals, translating them into actionable solutions (e.g., exploratory data analyses, new KPIs, business intelligence, and data science) while gaining stakeholder alignment and support.Act as a thought partner and consultant for the Performance Marketing and Product Marketing functions by proactively uncovering strategic insights and analytical solutions that promote growth in member engagement.Enhance and refine Peloton’s product strategy by delivering precise, timely, and high-quality analytics.Oversee the development and presentation of insightful reports and KPIs for business reviews and leadership updates.Utilize industry best practices to optimize engagement strategies at Peloton through effective data utilization and insights.Support experimentation initiatives by partnering with Product Managers to establish effective A/B or multivariate tests, executing post-experiment success measurements and statistical evaluations.Lead an engaged and high-performing team of product analysts and data scientists.Mentor and develop team members, both technically and strategically, on industry best practices such as statistical modeling, exploratory data analysis, and experimentation analytics.Create a culture of excellence and inspire the team to elevate their performance.

About RebarRebar is revolutionizing the commercial HVAC, Electrical, and Plumbing supply industry by developing a cutting-edge operating system. Our AI-driven quoting engine is expanding across leading suppliers in North America, making measurement and evaluation crucial to our infrastructure.As a Data Analytics Engineer, your mission will be to construct systems that provide insights into our AI's performance in real-world scenarios—analyzing successes and failures, and assessing their influence on business outcomes. You will establish essential product metrics, create monitoring frameworks, and deliver both internal and customer-facing data products that convert raw model outputs into reliable intelligence.This role sits at the crossroads of AI evaluation, product analytics, and data-driven product development. You will not only develop innovative data products that enhance customer value but also track the real-world performance dynamics of our AI systems, informing internal teams and stakeholders for better decision-making. If you are passionate about building analytic infrastructures and measurement systems as well as addressing significant business questions, this position is tailored for you.Required QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, or a related field.Proficient in Python, skilled in SQL, and experienced with Data Warehousing.Demonstrated experience handling large, real-world datasets and navigating ambiguous problem definitions.Proficient in writing modular, testable analytics code and familiar with version control environments.Ability to design meaningful metrics and evaluation frameworks for complex systems from the ground up.Experience in building data visualizations and dashboards.1–3 years of experience in analytics engineering, data science, or product analytics roles working with production data systems.Excellent communication skills for conveying quantitative insights to both technical and non-technical audiences.ResponsibilitiesDesign and develop data-driven product features utilizing Rebar’s historical datasets.Define, implement, and productionize metrics to monitor AI system performance over time, including automated tracking and monitoring of regressions and drift.Analyze model failure modes across documents, projects, customers, and time, communicating findings effectively...

Join our team at Sonsoft Inc. as a Data Science and Analytics Specialist, where you will play a pivotal role in transforming data into actionable insights. You will leverage your analytical skills to drive strategic decision-making and improve business outcomes. Your expertise in data analysis and visualization will help us to enhance our operational efficiency and deliver exceptional results.

The Marketing Data Science & Experimentation Intern will join the MoneyLion team at Gen Digital in New York City. This full-time, 10-week internship offers hands-on experience in data engineering and analytics within a collaborative, hybrid work environment. Interns are expected to work approximately 40 hours per week, with three days onsite in the New York City office. What you will do Work closely with data scientists, analysts, and engineers to understand data needs, key metrics, and business questions. Write and maintain SQL queries to extract, join, and aggregate data from the Snowflake data warehouse. Support data ingestion, cleaning, and preprocessing for analytics projects, including building dbt models and tests for core data transformations. Help create and maintain analytical datasets, support feature engineering, and contribute to dashboards and ad-hoc analyses that inform strategic decisions for MoneyLion and the broader Gen Digital ecosystem. Tools and technologies dbt Feast Snowflake Looker Work environment This internship follows a hybrid model, balancing in-office collaboration with flexibility. Interns spend three days per week in the New York City office, supporting creativity, quick decision-making, and relationship-building.

Join Merkle Science as a Product Marketing Manager and play a crucial role in shaping our presence in the blockchain industry. We specialize in providing advanced blockchain transaction monitoring and intelligence solutions tailored for web3 companies, digital asset service providers, financial institutions, law enforcement, and government agencies. Our mission is to ensure the safe and compliant growth of cryptocurrencies, making them secure for everyone.Based in New York City with additional offices in Singapore, Bangalore, and London, Merkle Science boasts a diverse team with extensive experience from industry leaders such as Bank of America, PayPal, Luno, Thomson Reuters, and Amazon. We have successfully raised over $27 million from notable investors including SIG, Beco, Republic, DCG, Kenetic, and GGV.Responsibilities:· Establish Merkle Science as a leading voice in the U.S. market while supporting the sales team to achieve revenue goals.· Collaborate with the sales team to articulate our core value propositions and unique differentiators effectively to potential customers.· Lead the strategy for expanding in the U.S. market by refining our product messaging and establishing distinct selling points.· Utilize multiple channels to convey Merkle Science’s value in a competitive landscape.· Develop sales tools and content, including case studies, videos, website content, and blog posts.· Work closely with cross-functional teams for market research, user testing, and interviews to identify market opportunities.· Coordinate with product management and engineering teams to define the product roadmap and create effective go-to-market strategies.· Establish and refine a go-to-market strategy to meet revenue targets.

About UsAt Justworks, we foster a friendly and inclusive workplace where innovation thrives. We provide exceptional benefits, wellness programs, and engaging company retreats, allowing you to connect and learn from industry leaders within the startup ecosystem. Our commitment lies in our greatest asset—our people.We empower businesses by simplifying their operations, enabling them to concentrate on their core activities while we tackle HR complexities. Our approach is data-centric, continuously evolving to enhance our services. If you thrive in a supportive, entrepreneurial setting and are passionate about building impactful solutions while enjoying the journey, we would love to connect with you.At Justworks, we are united by common goals and values, which are integral to our products and team dynamics.Discover Our ValuesIf this resonates with you, you will find a great fit here.Your RoleWe are in search of a Senior Analyst, Marketing Analytics & Insights to become a vital member of our Marketing Operations team. In this pivotal role, you will oversee the reporting and insights function designed to elevate marketing performance. You will lead the charge in our data-driven marketing initiatives, collaborating closely with sales, product, and finance teams to leverage insights that refine our marketing strategies. Your analytical expertise will play a crucial role in defining our marketing approach by evaluating performance across diverse channels, spotting trends, and identifying opportunities for growth.

About Atria:Atria Health is a pioneering, membership-based preventive healthcare practice dedicated to providing state-of-the-art primary and specialty care across New York, South Florida, and Los Angeles (with an expansion planned for 2026). Our global telemedicine services are available 24/7, ensuring that our members receive top-tier care anytime, anywhere.Our multidisciplinary team, comprised of over 60 distinguished in-house physicians, is committed to delivering proactive, preventive, and precision-based healthcare tailored to the unique needs of Atria members and their families. We are driven by our goal to enhance both lifespan and healthspan through comprehensive screenings, innovative therapeutics, and individualized interventions aimed at preventing disease and facilitating early detection.Each member’s care is overseen by a dedicated Chief Medical Officer who collaborates closely with specialists in various fields, including cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more.Through our non-profit Atria Research Institute and Public Health Institute, we are also committed to accelerating the application of medical breakthroughs and expanding access to preventive care for as many individuals as possible.We are currently looking for a mid-level Data Analyst to join our Technology organization and support our concierge healthcare team. This role transcends conventional reporting; you will play a vital role in constructing the data infrastructure that informs business decisions while establishing yourself as a trusted advisor in healthcare operations and strategy.You will be responsible for managing our reporting ecosystem, transforming raw healthcare data into actionable insights that enhance patient care and drive business outcomes. Your contributions will directly impact clinical operations, member experience initiatives, and strategic planning efforts.Key Responsibilities:Reporting & Analytics: Design and maintain dashboards and reports that monitor essential healthcare metrics such as patient outcomes, utilization patterns, provider performance, and member satisfaction.Collaborate with clinical and operations teams to assess their data needs and provide self-service analytics solutions.Perform ad-hoc analyses to address critical business inquiries and support strategic initiatives.Analytics Engineering: Develop and maintain semantic layers that ensure our data is accessible and reliable throughout the organization.Create structured data environments that facilitate analytics and automated reporting.Design data models that balance technical precision with business usability.Establish data quality standards and monitoring protocols.Business Partnership: Cultivate deep knowledge of concierge healthcare operations, appreciating both clinical and business contexts.Translate complex healthcare data into clear narratives that inform decision-making at all organizational levels.Work collaboratively with leadership to identify opportunities for enhancing patient care and operational efficiency.Transition from being a data provider to a strategic partner who influences business direction.

Eataly USA, LLC is looking for a Data Analytics Associate to join its corporate team in New York. This role works closely with the Product and Logistics departments, applying data analysis to both daily operations and long-term planning. Key responsibilities Collaborate with teams across the company to collect and analyze data Turn analysis into clear, actionable insights that inform business operations Provide data-backed recommendations to guide decision-making Spot trends and highlight opportunities for growth Work environment The New York corporate office offers a collaborative atmosphere. Team members use analytics to shape decisions and contribute to Eataly’s focus on food, hospitality, and community.

Duolingo, Inc. is working to make high-quality education available to everyone, everywhere. The team supports more than half a billion learners worldwide. As Director of Data Science and Analytics for User Growth in New York, NY, expect to work on projects that shape how people learn. The group values creative problem-solving, experimentation, and collaboration. Team members learn from each other and from leaders in the field.

NBCUniversal Media, LLC offers a Data Science & Analytics Internship in New York for the upcoming academic year. This position gives students a chance to develop practical skills while working within the media industry. Role overview Interns will join the analytics team and contribute to business projects that have a real impact. The role involves collecting and analyzing data to support decision making across the organization. Interns will also become familiar with the tools and methods commonly used in a large media company. What you will do Collaborate with the analytics team on live business initiatives Assist in gathering and interpreting data to inform decisions Learn industry-standard tools and analytical approaches in a media context Who should apply This internship is intended for students interested in starting a career in data science or analytics, especially those seeking hands-on experience in the media sector.

Join Wilshire Advisors as an Analytics Data Associate, where you will play a pivotal role in maintaining and enhancing our analytics systems. This dynamic position will involve uploading data, generating and reviewing detailed reports, and addressing client inquiries with analytical insights. Candidates should possess a foundational understanding of investment, finance, economics, and industry-related topics. We seek self-driven individuals with strong academic credentials and a commitment to professional excellence.Key Responsibilities:Accurately upload data into analytics systems and ensure output consistency.Generate comprehensive reports and validate results for precision.Assist with client inquiries, providing thorough analytical explanations.Maintain risk dashboards to monitor and report risk exposure.Investigate data discrepancies, identifying root causes, and implement corrective measures.Provide support across various aspects of risk management.Effectively communicate findings to both internal teams and external clients.

As the Director of Data and Media Science at Known, you will be at the forefront of leveraging data analytics to drive impactful media strategies. You will lead a team of data scientists and analysts, fostering innovation and collaboration to enhance our data-driven decision-making processes. Your strategic vision will guide the application of cutting-edge technologies and methodologies to optimize media performance and achieve client objectives.

Join SeatGeek, where we believe live events are transformative experiences that bring people together. With our innovative technology and customer-centric approach, we are revolutionizing the ticketing industry.We are seeking a passionate Analytics Engineer to become a vital member of SeatGeek’s Data team. In this dynamic role, you will collaborate with business stakeholders to facilitate effective data management and insightful analyses. As an Analytics Engineer, you will be instrumental in discovering, extracting, storing, cataloging, modeling, and processing our vast amounts of data. You will take charge of our analytics data layer and will work on extracting data from production databases and third-party sources, designing efficient data models, and orchestrating jobs in Airflow to produce clean, well-documented datasets that are ready for analysis. This role requires strong collaboration, as you will maintain relationships with analysts and production engineers to unlock the value of our data. Your contributions will play a crucial part in our mission to position SeatGeek as the premier destination for live event enthusiasts.The live event sector is experiencing unprecedented growth, and we are poised to capitalize on this opportunity. Our teams require actionable metrics and feedback loops to inform critical business decisions. If you are someone who is passionate about leveraging data to drive decision-making, this is the perfect role for you.

Fortell develops AI-powered hearing aids built on custom silicon. The company began in a New York audiology clinic and launched its first product four months ago. Now, Fortell is preparing to enter new markets and expand its distribution network. Role overview The Data Scientist - Analytics Engineer leads analytics and data infrastructure for Fortell. This role shapes decision-making across product development, clinical care, marketing, and business operations as the company grows nationally. What you will do Work independently to clarify complex problems and translate data into actionable insights that improve efficiency Build and manage analytics systems, data models, and data platforms Report directly to the co-founder and COO, who brings experience as a former VP of Data Help establish a data-driven culture from the ground up Location This position is based in New York.