Data Analytics and Operations Lead - Marketing Science

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.

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

About Avalere HealthAt Avalere Health, we are driven by a singular mission: to reach EVERY PATIENT POSSIBLE. Our commitment is to identify, treat, support, and care for each patient equally. Our Advisory, Medical, and Marketing teams unite to cultivate innovative connections, paving the way for a healthcare landscape where access is universal and no patient is overlooked. To fulfill our mission, we offer enriching and purpose-driven career paths that empower our team to make a meaningful difference in patient lives. We are dedicated to fostering a culture that encourages our employees to express their authentic selves at work, leveraging diverse backgrounds and skills to contribute to our overarching goal of enhancing healthcare for everyone, everywhere. Our flexible work model allows our global teams to choose their working environment, whether in an office or remotely, based on the needs of the team and our clients. Our major hubs in London, Manchester, Washington, D.C., and New York serve as collaboration centers, enabling our teams to come together when necessary. Remote employees are equally supported with dedicated social opportunities and resources. Our inclusive culture is fundamental to our operations. We encourage our employees to bring their full selves to work through our six Employee Network Groups: Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups foster diversity, equity, and inclusion, offering opportunities to connect, learn, and socialize through regular meetings and activities. We are also an accredited Fertility Friendly employer, providing enhanced parental leave and a flexible culture to support all employees throughout their family planning journeys. Investing in our employees’ professional growth is a priority, with ongoing career development opportunities, access to thousands of on-demand training sessions, regular career discussions, and the chance for global career moves across various capabilities.We take pride in being part of the Disability Confident Scheme, ensuring fair interview processes for candidates with disabilities, long-term health conditions, or neurodiversity. If you wish to apply and require any accommodations, please inform us in your application.

On-site attendance required 3-4 days a week in our New York, NY office.LG Ad Solutions stands at the forefront of the connected TV (CTV) and cross-screen advertising industry. Our commitment to innovation has established us as a global leader, providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.Job Overview:We are in the process of creating a robust Data Analytics and Operations team within our Research department to enhance the ownership of our analytics outputs and ensure the preparedness of our core data assets. This pivotal role is dedicated to validating that our data is accurate, actionable, and transformed into insights that are ready for business and client use.You will thrive in ambiguous environments, establish standards in the absence of guidelines, and be accountable for converting intricate data into dependable, consumable formats. Comfort with exploring unknown territories, tracing problems across systems, and adapting strategies as you progress will be crucial.Key Responsibilities:Engage with extensive and complex datasets to analyze data behavior, quality, and downstream effects.Interpret and document analytics outputs, ensuring adherence to acceptance criteria for effective consumption.Articulate findings, risks, and recommendations clearly to both technical and non-technical stakeholders.Assist in maintaining workflows that bolster analytics delivery, incorporating automation and AI-enhanced tools when applicable.Collaborate closely with engineering, research, and product teams to identify issues and communicate resolutions.Spot gaps in data reliability or usability and take proactive measures to address them.Contribute to establishing an analytics culture that emphasizes ownership, clarity, and impactful results over bureaucratic processes.Automate procedures on a large scale – transitioning manual, repetitive data tasks into efficient, transparent workflows.Prioritize accuracy, clarity, and dependability in outputs.Conduct well-defined analyses and investigations under guidance.Qualifications:Exceptional analytical and problem-solving abilities, with a proficiency in navigating uncertain situations.Minimum of 2 years of experience with SQL or Python, comfortable working with both raw and intermediate datasets.Strong communication skills, capable of conveying complex information to diverse audiences.Experience in data analytics, operations, or a related field is preferred.

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.

Join our dynamic team as the Director of Data Science Analytics & Integration, where you will lead innovative projects that harness the power of data to drive strategic decision-making and enhance operational efficiency. In this pivotal role, you will oversee the development and deployment of cutting-edge analytics solutions, guiding a team of talented data professionals to deliver actionable insights across various sectors.As a key leader, you will collaborate closely with cross-functional teams to integrate data-driven strategies into business processes, ensuring alignment with organizational goals. Your expertise in data science methodologies and tools will empower you to mentor staff, fostering a culture of continuous improvement and innovation.

Join Celonis as an Associate Value Engineer in our innovative Orbit Program, specializing in AI-driven data science and analytics. In this role, you will work at the intersection of technology and business, helping organizations leverage data to unlock their full potential. You will collaborate with cross-functional teams to design and implement solutions that deliver measurable value, while also engaging with clients to understand their unique challenges and objectives.

About the Role DoorDash is hiring a Manager of Data Science to join the Logistics Analytics team. This leader will use data insights to improve logistics operations and delivery efficiency. The role involves managing a team of data scientists and working with partners across the company to support strategic projects and roll out new solutions. Locations San Francisco, CA Sunnyvale, CA Seattle, WA New York, NY Chicago, IL Austin, TX Washington D.C. What You Will Do Lead and mentor a team of data scientists focused on logistics analytics Collaborate with cross-functional teams to support key business initiatives Apply data analysis to optimize logistics and boost delivery performance Drive implementation of new solutions that improve operational efficiency

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.

Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential

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.

About Us Nourish is dedicated to transforming health through improved nutrition. Chronic diseases linked to poor nutrition represent a significant health crisis that often goes unnoticed. Collaborating with Registered Dietitians can provide effective solutions, yet fewer than 1% of eligible Americans actually utilize these benefits. At Nourish, we are developing an AI-driven healthcare system focused on nutrition. Our aim is to enhance health outcomes, reduce expenses, and promote longer, healthier lives. Founded three years ago, we have successfully launched our services across all 50 states, currently supporting thousands of dietitians and hundreds of thousands of patients. We are rapidly expanding, collaborating with national health insurance companies and provider groups, and have secured $115 million in funding from prestigious investors including JP Morgan Growth Equity, Thrive Capital, Index Ventures, Y Combinator, and others. Our angel investors include renowned healthcare entrepreneurs and notable figures such as soccer star Alex Morgan. To learn more about us, click here and read about our recent Series B funding here. About the Role As we scale, data plays a pivotal role in driving growth and enhancing patient outcomes. In the position of Data Analytics Lead, you will oversee all analytics for a key business function, developing our data strategy, tackling complex challenges, and facilitating informed, rapid decision-making across the organization. This position merges analytics engineering with strategic insights: you will create efficient, scalable data models and pipelines while delivering clear, actionable insights that amplify our effectiveness. As a key member of our data team in New York City, you will help shape our long-term data vision and collaborate closely with our Operations, Engineering, Product, and Design teams. Our team operates in a hybrid model, with in-office days 2-3 times a week, welcoming individuals who are eager to engage in our vibrant office culture.

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.

Eurofins Scientific seeks a Clinical Data Review Supervisor for the Analytical Science department in Rensselaer. This leadership role centers on guiding a team responsible for reviewing and analyzing clinical data, ensuring accuracy and adherence to industry standards. Key Responsibilities Lead and supervise a team focused on clinical data review and analysis. Interpret complex data sets, maintaining data integrity throughout the process. Develop and implement review procedures that align with scientific and regulatory requirements. Oversee the quality of scientific results, ensuring high standards are met. Role Focus This position plays a crucial part in supporting scientific research by verifying the reliability of clinical data. The supervisor’s expertise is key to upholding compliance and quality within Eurofins Scientific’s analytical science operations.

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.

Eurofins Scientific seeks an Analytical Sciences Data Review Group Leader based in Rensselaer. This position oversees a team responsible for reviewing analytical data and ensuring its accuracy. Role overview The Group Leader manages daily data review activities, guiding team members as they check laboratory results for precision and completeness. This role helps maintain the laboratory’s quality and compliance standards by verifying that all analytical data meets required guidelines. Key responsibilities Lead a team focused on analytical data review Verify the accuracy and integrity of laboratory data Support ongoing quality and compliance efforts Location This position is based in Rensselaer.

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.

Role Overview Mercury is hiring a Senior Data Science Manager to guide key data initiatives as the company continues to grow. This role leads a skilled team of data scientists, applying advanced analytics to uncover insights that shape strategy and improve how the business operates. What You Will Do Lead and mentor a team of data scientists Use analytics to inform strategic decisions and drive operational improvements Work with teams across the company to find ways data can strengthen products and services Location This position is open to candidates based in San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

As the Director of Actuarial Data Science for North America at akur8, you will lead a dynamic team in transforming the insurance industry through innovative data solutions. Your expertise will drive the integration of advanced analytics and actuarial science to enhance our data-driven decision-making processes.