Data Analytics Engineer

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 Oscar Health as an Associate in Operations Data Analytics, where you'll be at the forefront of transforming data into actionable insights. In this dynamic role, you will collaborate with cross-functional teams to analyze operational metrics and drive continuous improvement initiatives. Your analytical acumen will play a pivotal role in enhancing our business processes, ensuring that we deliver exceptional healthcare services.

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

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.

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.

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.

Role overview The Director of Data Operations and Program Analytics leads the City of New York’s efforts to strengthen data-driven decision-making. This position manages daily data operations, focuses on raising data quality, and uses analytics to support a range of city programs and initiatives. What you will do Supervise data operations across multiple city departments Work to enhance the quality and reliability of data used in city programs Apply analytics to inform and assess the impact of city services Partner with stakeholders to implement data-driven strategies Impact This position plays a key role in helping the City improve services for all New Yorkers by ensuring decisions are based on accurate data and thoughtful analysis.

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

On-site attendance required 3-4 days a week at our New York, NY office.As a premier global player in connected TV (CTV) and cross-screen advertising, LG Ad Solutions excels in providing cutting-edge advertising solutions that align perfectly with the dynamic digital media landscape.Role Overview:We are in the process of establishing a dedicated Data Analytics and Operations team within our Research division to enhance our analytics ownership and the accessibility of our core data assets. This pivotal role is centered around ensuring the integrity, usability, and transformation of data into actionable insights for both business and client applications.You will tackle complex problem domains, set standards in the absence of existing frameworks, and take charge of converting intricate data into reliable outputs. You should be adept at navigating through uncertainties, tracing issues across systems, and adjusting your strategies as you gather more insights.Key Responsibilities:Engage directly with extensive and intricate datasets to analyze data behavior, quality, and its downstream effects.Establish and uphold standards for analytics outputs, including defining acceptance criteria and ensuring readiness for utilization.Transform data into coherent analytical narratives for both internal teams and external stakeholders.Develop and enhance workflows that facilitate analytics delivery, incorporating automation and AI-driven tools as appropriate.Collaborate closely with engineering, research, and product teams to identify issues, clarify data commitments, and facilitate resolution.Detect and rectify gaps in data reliability or usability proactively.Convey findings, risks, and recommendations effectively to both technical and non-technical audiences.Contribute to the advancement of an analytics culture that values ownership, transparency, and impact over bureaucratic processes.

About UsAt Resonance, we are revolutionizing the fashion sector by fostering a more sustainable ecosystem for designers, brands, manufacturers, consumers, and the environment. Our innovative AI-driven platform, ONE, facilitates efficient and sustainable product design, sales, and manufacturing. By minimizing overproduction and unnecessary inventory, Resonance ONE is committed to reducing the environmental impact of garment creation.Headquartered in New York City and Santiago, Dominican Republic, Resonance collaborates with prominent brands, including THE KIT and Rebecca Minkoff, to achieve significant reductions in resource consumption: 97% less dye, 70% less water, and 50% less material compared to conventional fashion brands.About the RoleWe are on the lookout for a skilled Data and Analytics Engineer to construct, maintain, and expand our data infrastructure. In this pivotal role, you will enhance our analytical capabilities, allowing Resonance to utilize data-driven insights across our intricate technology ecosystem.Your responsibilities will include developing and maintaining efficient ELT pipelines to transform data from various sources—such as telemetry data, Shopify, SendGrid, CreateOne, and other internal platforms—into structured, accessible datasets within Snowflake. Furthermore, you will create advanced LookML models to enable interactive analytics, dashboards, and explorations utilized daily by our business teams.Responsibilities Design, build, and sustain scalable ELT pipelines that reliably convert raw data from sources like Shopify, SendGrid, telemetry services, and proprietary applications (CreateOne) into our Snowflake data lake and data warehouses. Develop efficient and maintainable data models within Snowflake that underpin analytics, reporting, and data-driven decision-making. Create and refine LookML models to facilitate intuitive exploration, dashboards, and actionable analytics for non-technical business users. Work closely with product teams, engineers, and business stakeholders to identify data requirements, gather insights, and deliver impactful data solutions. Continuously enhance data quality, governance, and accessibility while implementing best practices for data management and compliance. Proactively monitor and optimize ELT performance, reliability, and cost-effectiveness. Stay abreast of the latest data engineering technologies, methodologies, and analytics tools to ensure Resonance maintains industry-leading capabilities. RequirementsMinimum Qualifications 4+ years of relevant experience in data engineering, analytics engineering, or a related field. Strong expertise in building robust ELT/ETL data pipelines using contemporary tools and methodologies. Hands-on experience with Snowflake or comparable cloud data platforms....

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.

DIRECTOR OF DATA ANALYTICS Current is a pioneering consumer fintech platform redefining financial access for everyday Americans, boasting a community of over five million members. Our mission is to provide innovative financial solutions that integrate seamlessly to meet the diverse needs of our members, empowering all Americans to cultivate better financial futures. Based in the heart of New York City, our results-driven culture motivates us to create superior products, accelerate growth, and inspire every team member to make a meaningful impact on our mission to enhance financial outcomes. ABOUT THE ROLE We are on the lookout for an exceptional, hands-on Director of Data Analytics to drive and expand our functional analytics organization. In this pivotal role, you will lead analytics teams embedded within various departments, ensuring that data-driven insights are central to every strategic decision at Current. As a functional leader, you will uphold the standards of analytical excellence, collaborating with department heads to align on overarching strategies while ensuring that your analytics leaders adhere to established frameworks and robust data processes. A technically adept leader, you will delve into root-cause analyses, evaluate analysis designs, and interpret complex experimental results alongside your team. You must possess exceptional storytelling skills to translate intricate data into engaging narratives that foster adoption and stimulate organizational change. RESPONSIBILITIES Steer the analytics function organization-wide, ensuring methodological consistency, toolset uniformity, and quality standards across all embedded teams. Collaborate closely with Department Leads to synchronize analytics roadmaps with broader business objectives and P&L goals. Establish and oversee standardized processes for experimentation, data modeling, and reporting, ensuring adherence to Current’s best practices for data integrity. Serve as a subject matter expert in structuring and guiding in-depth exploratory analyses and business case development. Engage directly with data to tackle the company's most complex challenges. Participate actively in formal reviews for RFCs, experimental designs, and learning briefs, providing critical oversight on success metrics and the interpretation of complex test results. Manage the performance and career development of Analytics Managers and Leads, mentoring to elevate the technical and storytelling capabilities of the organization. Effectively manage team bandwidth and prioritize high-impact initiatives.

CLEAR is on a mission to revolutionize secure identity solutions for the future, making experiences safer and more seamless across both physical and digital realms. With over 38 million members and an expanding global partner network, CLEAR's innovative identity platform is redefining how individuals live, work, and travel. Whether at airports, stadiums, or in everyday situations, CLEAR delivers frictionless experiences to its users. Our team comprises more than 3,000 dedicated ambassadors stationed at airports nationwide, enrolling hundreds of thousands of travelers into our CLEAR+ subscription service annually, while ensuring that existing members enjoy a flawless travel experience. As we continue to grow, we seek an experienced Analytics Manager to lead critical reporting and operational workflows that support this dynamic team.

LifeMD is hiring a Vice President of Data & Analytics in New York, NY. This executive role shapes how the company approaches data and analytics, setting the direction for data strategy and ensuring the team delivers insights that guide business decisions. Key responsibilities Develop and execute data and analytics initiatives across the organization Manage and mentor a team of data professionals focused on generating actionable insights Implement advanced analytics solutions to support LifeMD’s healthcare mission Promote data-driven decision making to help drive business growth Team and impact This position leads a skilled group of data experts, working together to turn complex information into clear guidance for the company. The work directly supports LifeMD’s commitment to quality and innovation in healthcare.

Join monks as an Associate Director of Media Analytics and lead the charge in transforming data into actionable insights. In this pivotal role, you will oversee analytics projects, collaborating with cross-functional teams to optimize media performance and drive strategic decision-making.

About the Role Columbia University is hiring a part-time Course Associate for the Biodiversity Data Analytics program during the Fall '26 semester. This online position centers on supporting both course development and student engagement in a field that connects data analytics with biodiversity research. What You Will Do Assist faculty in developing and delivering online course content Support student learning through virtual interactions and guidance Collaborate with instructors to improve and update course materials Location Based in New York, with all course activities conducted online.

At PermitFlow, we are transforming the construction landscape across America. As a pioneering applied AI firm, we address one of the most significant information challenges facing the industry: understanding what can be built, where, and how. Our innovative AI-driven solutions empower the nation's builders, enabling them to navigate complex processes from permitting to inspections, thereby accelerating housing, clean energy, and infrastructure projects nationwide.The construction sector, valued at $1.6 trillion, is plagued by inefficiencies, such as significant delays and squandered resources. PermitFlow has already enhanced the speed, accuracy, and transparency of over $20 billion in developments, allowing contractors to minimize compliance time, mitigate risks, and confidently scale their operations.As the U.S. embarks on a new capital expenditure supercycle encompassing data centers, factories, housing, and renewable energy projects, joining PermitFlow means being at the forefront of building the AI infrastructure essential for every construction endeavor, propelling the next wave of reindustrialization.With over $90 million raised, including our recent Series B funding from distinguished investors such as Accel, Kleiner Perkins, Initialized, Y Combinator, Felicis, and Altos Ventures, we are backed by leaders from OpenAI, Google, Procore, ServiceTitan, Zillow, PlanGrid, and Uber.Our headquarters are located in New York City, and we operate under a hybrid work model (3 days in-office per week). We welcome candidates based in NYC or those willing to relocate.

Join Edgewood Partners Insurance Center as a Data & Analytics Solutions Consultant and play a pivotal role in transforming data into actionable insights. You will collaborate with clients to design and implement innovative analytics solutions that drive business success. Your expertise will help our clients optimize their operations and achieve their strategic goals.

Join VTS as the Head of Data & Analytics, where you will drive the strategic vision for our data initiatives. In this leadership role, you will oversee our data analytics team, ensuring we leverage data to enhance decision-making and drive business outcomes. Your expertise will guide the integration of data-driven insights across all levels of the organization.