Lead Principal Data Analytics Engineer

About UsAt DriveWealth, we are committed to revolutionizing the landscape of investing by ensuring that everyone has the opportunity to shape their financial destiny. Our belief is grounded in the idea that access to financial markets should transcend geographical, economic, and systemic barriers. As a global B2B financial technology innovator, we are on a mission to democratize financial independence worldwide through our state-of-the-art API-based platform. This empowers our partners to deliver seamless investing and trading experiences to clients across the globe, all through mobile devices. Our technology equips partners with a flexible, modern toolkit, facilitating traditional investment processes alongside innovative solutions such as fractional share ownership. DriveWealth has quickly evolved into a comprehensive platform enabling trading in US equities, mutual funds, ETFs, fixed incomes, and options.Now is an exceptional time to join a company that is set to redefine its category, supported by a team poised to seize this opportunity. Our culture intertwines the dynamism and flexibility of a fintech startup with the reliability, impact, and rigor of Wall Street. We foster an environment that champions creativity and experimentation while maintaining a focus on institutional-grade execution and regulatory compliance in every aspect of our operations. Be a part of our journey to shape the future of global investing!About the RoleThe Data & Analytics team is on a mission to create groundbreaking data products that yield actionable insights, enabling our partners to excel. Our focus is on curating and sustaining essential data sources and statistics that benefit both internal and external stakeholders.What You’ll DoAdvanced Engineering & CodingCore Development: Design and develop intricate dbt models and data transformation logic for high-volume financial datasets (trade transactions, order books).Python Automation: Craft production-grade Python scripts tailored for advanced data processing, anomaly detection, and custom orchestration logic beyond SQL capabilities.Performance Engineering: Take charge of the most challenging issues concerning query performance. Refactor legacy code and enhance incremental loading strategies to minimize costs and latency on a large scale.Technical Architecture & StandardsCI/CD & DevOps: Oversee the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.

Key ResponsibilitiesAs the Principal Analyst at Blue State, you will act as the Analytics Lead and a subject matter expert overseeing critical projects and long-term retainers. Your expertise in data analytics, statistical analysis, and strategic insights will be pivotal in utilizing data management, data warehousing, and digital channels—including CRM, email, and both paid and owned media—to achieve our clients' objectives. You will engage with complex accounts that have high aspirations and may present ambiguous challenges, where your innovative solutions and deliverables will be essential.You will also be responsible for mentoring and training new team members, standardizing deliverables, and disseminating your technical knowledge and strategic insights throughout the agency and with external partners.About Blue StateBlue State is a mission-driven agency dedicated to partnering with influential causes, brands, and campaigns to effect real change. Our clients include renowned organizations such as UNICEF, Patagonia, Amnesty International, and Oxfam. We specialize in transforming how organizations generate revenue, influence policy, build platforms, and cultivate supportive communities. With a team of over 150 creative and analytical professionals located in the US and London, Blue State operates independently, driven by purpose and innovation.Daily ActivitiesGather and analyze data to fulfill the requirements of your client portfolio, focusing on web traffic, user behavior, email performance, paid media effectiveness, and social media trends.Convert analytical observations into actionable insights and strategic recommendations for fundraising, marketing, and communication initiatives.Create scalable best practices and leverage core insights from data to propose, design, and implement multivariate or A/B tests that yield substantial improvements.Collaborate with a multidisciplinary team of creative directors, copywriters, designers, strategists, and account managers, leading your discipline in client engagements.Develop measurement strategies for key performance indicators and oversee testing plans while monitoring existing assets to ensure proper data collection and tracking.Provide strategic direction on analytics projects, serving as the senior expert on analytics, data management, and data integrity issues.Craft compelling presentations, dashboards, and reports that communicate the value of our work to client teams, business development, and partners.Stay informed about trends and standards within the performance marketing sector, including grassroots fundraising, website strategy, supporter engagement, customer outreach, and brand strategy.

Join Oscar Health as a Lead Analytics Engineer, where you will spearhead data-driven initiatives to enhance our healthcare services. You will work closely with cross-functional teams to design and implement robust analytics systems that drive business decisions. This role requires a strong background in data modeling, ETL processes, and proficiency with analytical tools.

Join us in leveraging technology to create a significant positive impact on the environment!Kraken spearheads innovative global advancements in energy solutions.As a forward-thinking technology company, we are dedicated to developing a smart and sustainable energy ecosystem. Our initiatives focus on optimizing renewable energy generation, enhancing grid intelligence, and empowering utilities to deliver outstanding customer experiences. Our integrated energy management platform is revolutionizing the industry worldwide for the benefit of all.This is an exciting era for the energy sector. Contribute to shaping a more sustainable and brighter future.About Kraken CustomerWe aim to construct the most innovative, AI-driven platform for energy management. From resource optimization to providing exceptional customer experiences through advanced Customer Information Systems (CIS), billing, meter data management, CRM, and AI-enabled communications, Kraken is leading the next wave of energy industry innovation.Our Mission: The future of energy will differ vastly from what we know today. It's not just about envisioning our future; it's about actively building it now.Who We Seek: We are in search of a talented Data & Analytics Client Delivery Lead to empower clients to fully harness Kraken's data and enhance their data capabilities. Candidates should possess extensive analytics experience within a robust, modern data team (e.g., data analytics, business intelligence, or related fields—roles such as analytics manager, lead data analyst, or data consultant are highly regarded). A passion for client engagement and a commitment to driving the clean energy transition are essential—experience in the energy sector is a plus! The Role: In this role, you will collaborate directly with Kraken clients to foster the development of modern, transformative data and analytics capabilities as part of their overall Kraken transformation. You will train clients on utilizing Kraken data and assist them in constructing critical reporting and insightful analytics, occasionally engaging in hands-on query writing or demonstrating analytics. Your leadership experience in analytics teams will be invaluable in advising senior client data leaders on building a high-performing, business-focused data organization and employing data as a strategic asset to achieve ambitious business and clean energy objectives. We take pride in being a flat and agile organization and intend to maintain this structure...

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 DualEntryEstablished in 2024, DualEntry is rapidly emerging as one of the leading AI startups globally.At DualEntry, we are revolutionizing the finance sector today. The Enterprise Resource Planning (ERP) market stands as one of the largest in the fintech arena, valued at over $220 billion. Despite this, countless companies still rely on outdated on-premise systems, with no new competitors entering the space for over three decades.Our AI-powered ERP enables accounting teams to achieve unprecedented efficiency. Businesses ranging from $5 million in Annual Recurring Revenue (ARR) to those listed on the NYSE trust DualEntry to eliminate tedious manual data entry through our AI capabilities. We are making the vision of a one-person finance team a reality, leaving behind the struggles of legacy ERPs from the 1990s.We operate with a sense of urgency and ownership, moving swiftly to achieve our goals.Why This Role is Crucial Right NowIn just 18 months, we have successfully raised over $100 million from prestigious investors including Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures, and Google Ventures, alongside more than 20 angel investors who have built, scaled, and exited some of the most influential companies of the last decade.We attribute our success to our fast-paced environment and a dedicated team comprised of talented individuals from leading tech and accounting firms such as Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero, and Intuit. Many of our team members may not have prestigious logos on their resumes, but they are motivated to prove their capabilities.As a small but rapidly expanding team, we invite you to join us early in our journey.As the Lead Analytics & Data Engineer, you will be responsible for establishing data infrastructure and generating data insights across product, engineering, go-to-market, and marketing teams from the ground up. This is a hands-on, intensive role where you will have complete ownership across all teams at DualEntry. We expect you to strive for excellence and elevate standards.Where You Will Make an ImpactYour primary focus will be building a robust Data & Analytics function from scratch. You will collaborate with various leaders to develop key performance indicators (KPIs) and actionable insights throughout the organization.Engage in full-stack analytics engineering development, creating models to ingest, transform, and disseminate data both internally and externally.Work closely with diverse teams to capture, transfer, store, and analyze raw data, turning it into actionable insights.Collaborate with product, engineering, data, and design teams to create prioritized product roadmaps and assess success metrics.Ensure that insights are effectively translated into actionable strategies.Establish data processes, tools, and systems that will enhance decision-making capabilities.

Role Overview NBCUniversal is looking for a Principal Data Engineer in New York to help design and build data solutions that support business goals. This position focuses on developing and optimizing data pipelines, ensuring data quality, and collaborating with teams across the company to deliver practical solutions. Key Responsibilities Design, build, and maintain data pipelines that support business operations and analytics. Work with cross-functional teams to understand data needs and deliver scalable solutions. Apply expertise in data engineering, cloud platforms, and data architecture to improve system performance and reliability. Champion data integrity and best practices throughout the data lifecycle. What We’re Looking For Deep experience in data engineering and data architecture. Strong knowledge of cloud technologies. Ability to collaborate effectively with technical and non-technical partners. Motivation to solve complex problems and deliver results that move the business forward. This role offers the chance to shape how NBCUniversal uses data and to make a visible impact on the company’s technology landscape.

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.

We are seeking a talented Principal Data Engineer to join our dynamic team at dstaff in New York. As a Principal Data Engineer, you will play a pivotal role in designing and implementing robust data architecture solutions that drive business intelligence and analytics across the organization. You will collaborate with cross-functional teams to ensure the integrity and accessibility of data while leveraging the latest technologies and methodologies.

Pelago is the premier virtual clinic dedicated to Substance Use Management, offering tailored support and treatment for individuals striving to overcome tobacco, alcohol, and opioid dependencies. Our personalized approach addresses unhealthy habits and active substance use disorders, catering to each member's unique health profile, lifestyle, genetics, and aspirations. Our comprehensive suite of virtual services includes educational resources, cognitive behavioral therapy (CBT), and extensive medication-assisted treatment (MAT). Pelago empowers employers and health plans to provide accessible, cost-effective, and effective treatment options for substance misuse. Having scaled our operations to assist hundreds of employers and health plans, we have positively impacted the lives of over 750,000 members in managing their substance use. With our recent Series C funding round, raising over $151 million from top-tier global investors, we invite you to join our mission to enhance the health of individuals everywhere!About Pelago Data:The Data team at Pelago plays a pivotal role in decision-making as we continue to grow. As we evolve our data capabilities, we aim to transform raw data into actionable business insights.We specialize in converting complex healthcare and product data into structured, reliable, and thoroughly documented models that drive reporting, experimentation, AI initiatives, and everyday decision-making throughout the organization.Overview of the Role:We are in search of an Analytics Engineer who is passionate about constructing scalable data models, deeply analyzing business logic, and creating reusable data assets.In this position, you will influence how data is organized and defined at Pelago, ensuring consistency, quality, and usability across various applications—from dashboards to experiments to future machine learning projects.

Join us in leveraging technology to create a significant positive impact on the environment!Kraken is at the forefront of pioneering global advancements in sustainable energy.Our company is dedicated to constructing a smart, eco-friendly energy ecosystem. By enhancing renewable energy generation, developing a more intelligent grid, and empowering utilities to deliver outstanding customer experiences, our energy operating system is revolutionizing the industry worldwide for the benefit of all.This is a thrilling moment in the energy sector. Help us make a tangible difference in shaping a brighter, more sustainable future.Who We Are Seeking:We are in search of a dynamic data and analytics leader eager to engage with clients—assisting them in developing cutting-edge data capabilities, coaching on analytics best practices, and facilitating transformative insights from Kraken data.The ideal candidate will possess experience in leading high-performing analytics or data teams, a passion for client interactions, and a commitment to advancing the clean energy transition (experience in the energy sector is desirable but not mandatory).Role Overview:In this role, you will collaborate closely with Kraken clients to help them cultivate modern, transformative data and analytics capabilities as part of their broader Kraken transformation journey. Your responsibilities will include:- Assisting clients in reconstructing essential reporting and analytics using Kraken data.- Coaching client teams on exemplary analytics practices, including roles, tools, and processes.- Occasionally engaging directly with sample SQL or BI to resolve issues or provide demonstrations.- Translating client requirements into actionable insights for Kraken product and engineering teams.This position is not about implementation management or full-time analysis; it is a hybrid role encompassing coaching, practical engagement, and translation—supporting clients in seamlessly adopting Kraken data while building enduring data capabilities to propel their transformation. It is ideal for someone with robust data leadership skills who desires more client interaction and a high-impact role.Being one of the initial members of a new client-facing data team offers a unique opportunity to shape our client engagements and make a significant contribution to our mission.

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 the team at The New York Times Company as a Data Engineer focusing on Analytics Data Products. In this pivotal role, you will design and implement data pipelines that drive insights and analytics for our products. Your expertise will contribute to the creation of robust data architectures, ensuring data quality and accessibility for analytics teams.

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.

At Jahnel Group, we are committed to creating an unparalleled environment for software developers to unleash their creativity by connecting them with clients engaged in meaningful projects.Our team builds some of the most intricate and engaging applications for clients across the nation. Recognized as a fast-growing INC 5000 company, we maintain a close-knit culture with over 100 employees. As we expand rapidly, we invite you to join our team for a beer or coffee to explore your next career opportunity with us.WHO WE ARE LOOKING FORThe Principal Software Engineer represents the intersection of technical expertise and visionary leadership within a vast and complex landscape. In this role, you will tackle the most challenging problems, demonstrating mastery in performance, scalability, system architecture, and software engineering best practices.As a Principal Engineer, you will be a seasoned diplomat, excelling in collaboration and communication; you will listen, understand, persuade, develop, motivate, and champion change. You will lead technical projects to ensure their success.Curiosity is vital, excellence is expected, and your goal will be to deliver substantial value and drive progress. You will be responsible for establishing team policies, creating procedures, and ensuring adherence while serving as a role model for your peers.PRIMARY RESPONSIBILITIESCraftsmanshipExpert in reading, writing, testing, and debugging software across several core technical domains.Renowned advocate of essential tools and concepts relevant to your skill set.Proficient in crafting high-quality documentation for both developers and end users.Expected to hold others accountable to high standards and be a champion of best practices throughout the organization.Problem SolvingSkilled in various software development methodologies (i.e., Agile, Scrum), managing multiple teams simultaneously.Expert in software architecture and design documentation.Proficient in planning, designing, estimation techniques, and workload management across multiple teams.Accountable lead on significant projects (root cause analysis, refactoring, transformational initiatives, etc.).Review and create work items/streams for multiple teams, collaborating with product owners and external stakeholders to design realistic roadmaps.

About Saaf AIAt Saaf AI, we are revolutionizing the mortgage lending landscape by harnessing the power of advanced artificial intelligence coupled with established lending practices. As a fintech startup integrated into American Heritage Lending—one of the nation's top ten private lenders, managing billions in loan volume across various programs—we are supported by some of the largest asset management firms and investment funds.Our team is fundamentally AI-driven. Every engineer, product decision, and operational workflow is meticulously crafted to answer the question: “How can AI enhance efficiency, intelligence, and reliability?” If you are eager to expand the horizons of your expertise by utilizing the most advanced AI tools and methodologies daily, this role places you at the forefront of data architecture and analytics engineering as we move into 2026 and beyond.The RoleWe are seeking a Senior Data Architect & Analytics Engineer to lead the development and enhancement of our analytics data platform. As our first dedicated data hire, you will be a hands-on architect responsible for shaping how data drives decisions across underwriting, sales, and operations.While the foundational work has been laid, the most thrilling and impactful challenges are still ahead. You will take charge of a platform ripe for growth: developing entity resolution across disparate real estate data, designing enrichment pipelines that convert raw data into actionable insights, constructing the semantic layer essential for AI-driven analytics, and refining the architecture as we expand into new loan programs and data sources.This role is ideal for you if:You have built and managed a comprehensive modern analytics stack from start to finish, rather than simply contributing to one.Data integrity is your top priority from the outset—not an afterthought.You thrive on enhancing a robust foundation and are driven to achieve ambitious goals.You aspire to be the key data figure in a rapidly growing company—enjoying high ownership, significant impact, and a clear trajectory to team leadership.What You’ll OwnAnalytics Platform — Build It, Run It, Evolve ItTake complete ownership of the production data pipeline—from ingesting external real estate and borrower data to transforming it through a multi-layered model (staging → enrichment → business-ready marts) while ensuring its reliability.Create and maintain the semantic layer—comprising model descriptions, metric definitions, and metadata that fuel BI dashboards, AI assistants, and self-service analytics.

The mission of The New York Times is to seek the truth and help people understand the world. Independent journalism is at the heart of all we do, which is why we have a world-renowned newsroom that sends journalists to report from nearly 160 countries. Our focus on enhancing how readers engage with our journalism is paramount, whether in print, audio, or our digital platforms. Our business strategy is built on delivering journalism of such high quality that it is worth paying for.Role Overview:The Data Platform Mission is dedicated to empowering our organization by providing access to data for critical decision-making, enhancing user experiences, and driving impactful strategic choices that create value. We are in search of skilled Analytics Engineers who can help shape a new function within the Data Platform, focusing on supporting our essential data assets across various domains at The New York Times.As a Senior Analytics Engineer, you will collaborate with diverse teams to manage, enhance, and ensure the quality of data across specific organizational domains, facilitating efficient, data-driven decisions and experiences. You will become a subject matter expert within these domains, playing a crucial role in data initiatives and reporting directly to the Executive Director of Analytics Engineering.Key Responsibilities:Act as a Data Platform Evangelist by offering frameworks, training, and guidance to enable individuals to effectively utilize data platform capabilities and articulate well-defined data requirements.Establish data management frameworks providing clear guidelines for data producers, while collaborating with data platform teams to enhance data quality and accessibility.

About the Role:Rightway Healthcare is seeking a talented Analytics Engineer to enhance and expand our clinical programs. This role focuses on constructing robust analytics frameworks that support our care complete initiatives. As an integral part of our team, you will bridge the gap between analytics engineering, clinical program management, and strategic business decisions. If you have a knack for transforming intricate clinical workflows into clean, actionable data models, this position is tailored for you. Your contributions will be crucial in developing and sustaining our clinical program data models, integrating new data sources, and refining existing ones to facilitate seamless reporting and drive innovation through advanced analytics. You will be responsible for delivering and analyzing data for various use cases within our Unified Data Warehouse (UDW) while operationalizing AI and ML solutions that yield significant healthcare insights.

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.

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.