Senior Analytics Engineer

Role Overview Okta is looking for a Senior Analytics Engineer to help shape data-driven decisions across the company. This role focuses on designing and building analytics solutions, improving data architecture, and working with teams from different functions to uncover insights from complex datasets. What You Will Do Design and implement analytics solutions that support business goals Collaborate with colleagues across departments to identify and extract meaningful insights from large data sets Enhance and maintain the company’s data architecture to ensure reliability and scalability About Okta Okta delivers identity management solutions for organizations worldwide. Your work as a Senior Analytics Engineer will help support Okta’s mission to provide secure, seamless access for users everywhere. Locations Bellevue, Washington Chicago, Illinois San Francisco, California

About FaireFaire is a revolutionary online wholesale marketplace that champions local commerce, believing in the strength of independent retailers. These retailers are generating more revenue globally than giants like Walmart and Amazon, yet they remain small compared to these corporate titans. At Faire, we harness technology, data, and machine learning to bridge the gap between these vibrant entrepreneurs and the best products from around the world. Our mission is to empower local businesses with the right tools and insights, leveling the playing field against big box and e-commerce competitors.By nurturing the growth of independent businesses, Faire is creating a positive economic impact in communities worldwide. We are on the lookout for innovative, resourceful, and passionate individuals to join us in our quest to revolutionize local shopping. If you share our belief in the power of community, we invite you to be a part of ours.About the RoleAre you enthusiastic about leveraging data and AI to redefine product features for small and medium businesses (SMBs)? If this resonates with you, we want to connect! We are seeking a technical leader to collaborate with Data Scientists, Product Analysts, and Software Engineers to enhance product launches and roadmaps. You will be instrumental in designing and developing data capabilities that drive insights and inform decision-making. This role will put you at the forefront of utilizing AI to enhance productivity and transform analytical engineering processes—streamlining data pipeline development, optimizing data consumption workflows, and automating routine analytical tasks. Your contributions will have a direct impact on company growth and user satisfaction. Join our team of top-tier professionals, work with one of the richest datasets available, and see your efforts translate into real-world applications for SMBs.Join us and contribute to a culture that values data-driven innovation and excellence.

Join Mixpanel as a Senior Analytics Engineer and play a pivotal role in transforming raw data into actionable insights. You will collaborate with various teams to design and implement robust analytics solutions that drive data-driven decision-making across the organization.

Join Philo: The Ultimate Streaming Service for TV and Movie Enthusiasts At Philo, we are a passionate team of technology and product innovators committed to revolutionizing the television landscape. By merging state-of-the-art technology with the captivating medium of TV, we are creating the viewing experience we've always desired. This involves utilizing cloud delivery, modern technology stacks, machine learning, and meticulously crafted native app experiences across all our platforms. Our goal is to provide a seamless streaming experience while pioneering next-generation multi-screen and multi-user playback functionalities. The Importance of Data at Philo Data is at the core of everything we do at Philo. It informs our business strategies, enhances our streaming quality, supports product experiments for optimizing user journeys, and simplifies the process for users to discover the perfect content. With over a billion streams delivered annually, our data generates immense value across the organization. Philo's data platform operates at a massive scale, processing trillions of events each year within a petabyte-scale data lake and facilitating thousands of analytical queries that drive decision-making throughout the company. Our Data Engineering team integrates both data engineering and analytics engineering. As a Senior Analytics Engineer at Philo, you will lead the data modeling layer that transforms raw event and application data into reliable, clean data products that the entire company depends on—ranging from metric definitions and dimensional models to a governed semantic layer ensuring consistent metrics for all. You will collaborate closely with data scientists, analysts, and business stakeholders to comprehend their analytical needs and translate them into well-structured, well-documented, and efficient data products using dbt and Snowflake. We are dedicated to delivering a high-quality, trustworthy data platform for the entire organization, employing both cutting-edge technologies and established engineering practices in close cooperation with all departments. Our analytics engineering stack is centered around dbt and Snowflake, enhanced by tools such as Segment, Avo, and BigEye, which facilitate event tracking, data quality, and observability. Recent projects undertaken by our analytics engineers include the development of new models for vital financial data, dbt model design and refactoring, metric definition and governance, cost optimization per query in Snowflake, and the establishment of data quality testing and documentation frameworks. About the Role We are seeking a Senior Analytics Engineer to take ownership of our analytics initiatives...

Join Gusto as a GTM Analytics Engineer and play a pivotal role in driving our analytics initiatives. As a part of our team, you will develop and maintain robust analytics frameworks that empower data-driven decision-making within our go-to-market strategies. You will collaborate closely with cross-functional teams to ensure the accuracy and accessibility of data, while also identifying opportunities for continuous improvement.

About SentryAt Sentry, we are determined to eradicate bad software. Our mission is to empower developers to create superior software more efficiently, allowing us all to enjoy technology again.With over $217 million in funding and a community of more than 100,000 organizations, including industry leaders like Disney, Microsoft, and Atlassian, we are crafting performance and error monitoring tools that enable teams to focus on building innovative products rather than squashing bugs.Embracing a hybrid work model, Sentry encourages collaboration by designating Mondays, Tuesdays, and Thursdays as in-office days across our global hubs. If you're passionate about creating tools that enhance the digital experience, we invite you to join us in building the future of software monitoring.About the RoleAs a member of our Event Analytics Platform (EAP) team, you will be at the forefront of developing the infrastructure that supports Sentry’s capabilities to handle time-series data and search functionalities across billions of events with remarkable speed. This initiative includes our innovative Snuba system, which acts as the primary storage and query service fueled by ClickHouse.In this role, you will expand the data visibility at Sentry by enhancing our search infrastructure, developing new capabilities atop our advanced storage solutions, and boosting the performance and integrity of our core data services. You will play a key role in shaping the technical vision of our Infrastructure team and collaborate closely with Product and Engineering teams to transform that vision into reality.If you are eager to tackle the complexities of scaling event data into the petabyte range, this opportunity is ideal for you.Key Responsibilities:Enhance EAP's capabilities to deliver data with exceptional speed and reliability.Design and automate systems and services to ensure reliable scaling amidst rising demand.Evaluate architectural decisions that harmonize product goals with engineering limitations.Promote and uphold high code quality standards through regular code reviews and contributions to design discussions.Lead the development of innovative data solutions to enhance user insights.

Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...

About AirGarageAt AirGarage, we are revolutionizing the way real estate operates online, starting with the parking sector. Our mission is to replace outdated parking machines and fragmented software with an innovative, data-driven operating system designed specifically for parking real estate.We manage all aspects of parking asset optimization: from payments and dynamic pricing to enforcement, license plate recognition, and comprehensive analytics. By developing our technology in-house, we ensure an exceptional experience for drivers, while providing real estate owners with unprecedented real-time visibility and revenue growth potential of 20-50% or more.AirGarage collaborates with national real estate leaders like Hines and Greystar, along with tech giants such as Meta, to enhance their parking facilities. Our cutting-edge solutions utilize data points, including real-time occupancy rates, local events, weather conditions, driver behavior, and competitor pricing, to provide genuine intelligence to real estate owners.We are committed to making the physical world comprehensible for digital systems through the integration of cameras, sensors, and software that generate vast amounts of real-time data. This data drives advanced models and algorithms that optimize performance for every property, granting owners clarity and control like never before.With the $131 billion U.S. parking real estate market as our starting point, we aim to address one of the most offline and mismanaged segments of commercial real estate, where 26% of urban land is devoted to parking.Supported by prominent investors, including Headline Growth, Andreessen Horowitz, Floodgate, and others, AirGarage is staffed by a team that includes veterans from leading companies like Uber, Opendoor, and Flexport.

At Perplexity, we believe in harnessing the power of AI to exceed expectations. This role is pivotal in ensuring our data team embodies that philosophy, placing AI at the core of our operations.We seek an exceptional individual with a strong background as a data scientist, analytics engineer, or data engineer. You are the type of professional who understands which metrics hold true significance, can design insightful A/B tests, and delve into data models to uncover discrepancies. Importantly, you recognize that your highest impact opportunity lies in creating AI systems that revolutionize the practice of data science.This is not about developing another text-to-SQL bot or merely producing another dashboard. Instead, you'll create AI agents capable of performing comprehensive analyses autonomously – generating hypotheses, executing queries, interpreting outcomes, and crafting actionable recommendations. Your work will ensure that our entire data warehouse is AI-accessible, enabling any system to query it with precision. You'll engineer self-correcting pipelines that identify and resolve data issues proactively. Your contributions will empower a lean data team to operate with the efficiency of a much larger organization.Join a forward-thinking data team that already integrates AI into its processes, yet recognizes the vast potential that lies ahead. With full support from leadership, we are committed to transforming our initial efforts into a world-class framework: scalable systems, innovative tools, and an AI-first approach that not only elevates our status but also propels the industry forward.What You'll DoEnhance the AI-driven data workflow - Building on existing successes, you will establish repeatable systems and scalable tools that the data team and the broader organization can adopt.Create AI agents for data science - Your focus will be on developing agents that not only handle SQL inquiries but also manage end-to-end analyses: exploring data, formulating hypotheses, executing queries, interpreting results, and delivering actionable insights.Make the data warehouse AI-friendly - Design the semantic layers, context, and retrieval systems that enable any AI platform (internal or external) to query Perplexity's data effectively and reliably.Automate the data lifecycle - Implement self-healing pipelines, automated dbt model creation and validation, and data quality agents that autonomously detect and resolve issues.Deliver AI-enhanced experiment analysis - Develop agents capable of interpreting A/B test results, identifying statistical anomalies, and providing thoughtful insights.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.

At Discord, we are at the heart of gaming culture, connecting over 200 million users each month who come together to play video games. With over 90% of our community engaged in gaming, they spend a staggering 1.5 billion hours each month immersed in thousands of unique titles. As we continue to innovate, we strive to enhance the gaming experience by facilitating seamless communication and interaction before, during, and after gameplay.We are seeking dedicated and skilled Senior Data Engineers to join our dynamic Data team. Our data infrastructure is pivotal in driving insights across the organization, and we need passionate individuals who can construct foundational datasets and pipelines that empower data-driven decision-making at scale. In this role, you will develop the analytical framework that supports product development, experimentation, and machine learning initiatives, ultimately enhancing user experiences on Discord.As a Data Engineer at Discord, you will collaborate closely with data science and engineering teams to build and maintain high-leverage datasets that fuel tools, analyses, and models. The datasets you create will inform our strategies for identifying opportunities, measuring success, and making critical decisions. We are hiring across several verticals, including Engagement, Growth, and Safety. If you are excited about designing elegant data systems that deliver insights to millions of users, we want to hear from you!

Join Airtable as an AI Analytics Engineer and be part of a pioneering team that is dedicated to enhancing our AI & Analytics Platform. In this role, you will leverage cutting-edge technologies to analyze vast datasets and drive insights that inform decision-making processes across the organization. You will work collaboratively with data scientists and engineers to develop innovative solutions that meet our clients' needs.

Mariana Minerals, based in San Francisco, supplies critical minerals for sectors such as energy, AI, and defense. The company integrates industrial expertise with advanced software, automation, and data-driven processes to improve how minerals are sourced, refined, and optimized. Mariana Minerals emphasizes responsible mineral sourcing and supply throughout its operations. Role overview The Analytical Systems Engineer will support laboratory analytical capabilities across multiple locations. This position focuses on developing and refining analytical methods, troubleshooting technical issues, and introducing new instruments and procedures. The role calls for a strong analytical background, hands-on mechanical skills, and adaptability in various lab environments. What you will do Enhance and optimize analytical methods at laboratory sites. Troubleshoot and resolve issues with analytical techniques to ensure reliable data and methods. Lead implementation of new instruments, including ICP-OES, ICP-MS, Atomic Absorption, and related equipment. Create, validate, and standardize analytical workflows and methods. Train laboratory staff on equipment usage, analytical techniques, and best practices. Collaborate with cross-functional teams to improve analytical efficiency and maintain data integrity. Evaluate new technologies and suggest improvements for existing systems. Maintain thorough documentation for methods, SOPs, and technical guidelines. Offer technical support for complex analytical challenges within the organization. Requirements Bachelor’s degree in Analytical Chemistry, Chemistry, or a related scientific field (recent graduates encouraged to apply). Experience with ICP-OES, ICP-MS, Atomic Absorption, or similar analytical instruments is preferred. Solid understanding of analytical techniques, sample preparation, and data interpretation. Strong problem-solving abilities and the capacity to work both independently and as part of a team.

Earnest builds borrowing solutions that help people take control of their financial futures. The Analytics Engineer II role supports this mission by improving how data is modeled, organized, and delivered across the company. Role overview This position reports to the Senior Manager of Data Platforms and Analytics Engineering. The Analytics Engineer II works closely with Product, Risk, and Analytics teams to ensure data is accessible, reliable, and structured for confident decision-making. What you will do Design and refine data models to support faster and more dependable decisions across multiple business teams. Remove data bottlenecks by providing clean, scalable datasets that analysts can use independently. Support both planned projects and urgent requests, helping business teams operate smoothly. Improve data quality and organization to enable effective analysis and the launch of new products or features. Requirements At least 3 years of experience in analytics engineering, data engineering, or a related field. Strong SQL skills and experience building data models that align with business needs. Familiarity with dbt and modern data warehouse solutions such as Snowflake or Redshift. Ability to collaborate across teams and translate complex data into actionable insights. Curious, proactive, and motivated to solve problems beyond assigned tasks. Preferred qualifications Experience with orchestration tools like Airflow or similar platforms. Background in fintech, product analytics, or high-growth companies. Location This is a remote role based in the United States. Earnest's headquarters are in San Francisco, CA.

Flex is a FinTech company based in New York City, focused on transforming the rent payment experience. Flex enables renters to pay rent on a schedule that fits their financial needs, aiming to give users more control over their largest recurring expense. After emerging from a successful stealth phase, Flex is expanding its team with the support of strong investors and an engaged user base. Role Overview The Director of Analytics Engineering leads a team at the intersection of Data, Product, Engineering, and business strategy. This role shapes the analytics platform that supports data-driven decisions across Flex. The director manages and mentors analytics engineers and remains hands-on with data modeling and solution development. Collaboration with analysts, engineers, product managers, and other stakeholders is central to defining requirements and delivering data products that meet business needs. What You Will Do Develop and drive the strategic roadmap for Flex’s data modeling platform and team. Lead, mentor, and grow a team of analytics engineers. Partner with product and engineering leaders to define data requirements and guide architecture and schema design. Oversee the creation of data models that transform and present data for stakeholders. Gather business requirements, define analytics success criteria, and design data solutions. Set company-wide standards for data structure, quality, and expectations. Promote a strong data culture by shaping scalable processes, systems, and tools that support better decision-making. What You Bring At least 8 years of experience as an analytics engineer or in a similar data-focused role, with a history of delivering products at scale. Expertise in SQL and data warehouses (Snowflake preferred), with skill in writing efficient SQL queries. Experience with leading business intelligence tools such as Sigma Computing, Tableau, or Mode. Locations This position is based in New York, NY; Salt Lake City, UT; or San Francisco, CA.

About UsAt Speak, we're on a mission to revolutionize language learning.Learning a language can transform lives, unlocking new cultures, careers, and communities. With two billion people globally eager to learn a language, traditional one-on-one tutoring remains elusive and has seen little innovation in decades. Speak is creating an AI-powered, human-level tutor that fits in your pocket: a conversation-focused experience that encourages learners to speak, receive immediate feedback, and progress through thoughtfully crafted lessons. This leads to a comprehensive journey from beginner to confident speaker in multiple languages.Originally launched in South Korea in 2019, Speak has quickly risen to become the leading language learning app, now serving learners across various markets and offering over 15 languages. As one of the world’s top AI companies, we have raised over $150 million in funding from prestigious investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team located in San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs a Senior Analytics Engineer at Speak, you will be instrumental in shaping the future of digital language education while advancing our mission of making language proficiency attainable for millions around the globe.Your primary focus will be to empower every team member to leverage data for informed decision-making. Your responsibilities will include establishing reliable datasets, defining key performance metrics, and managing the analytical tools utilized across the organization. You will collaborate closely with product, engineering, and analytics teams to ensure our platform, driven by state-of-the-art technology, is robust and provides actionable insights to improve user engagement and learning outcomes.What You'll Be DoingConstruct and Optimize Data Infrastructure: Oversee and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to guarantee efficient data flow and processing.Facilitate Data-Driven Decision-Making: Collaborate with cross-functional teams to develop data models and metrics that support critical business analyses.Empower Stakeholders: Continuously assess and enhance our tool stack to ensure that accessing data-driven answers is as seamless as possible.Collaboration and Systems Thinking: As a key member of our team, you will partner with product managers, analysts, and fellow engineers to design data solutions and processes that drive results.

About Higgsfield AIHiggsfield AI is at the forefront of video artificial intelligence, transforming the landscape of synthetic media for social platforms. With an impressive trajectory, our company has achieved over $200 million in run-rate sales just nine months post-launch and secured a robust $130 million Series A funding round.Who We Are SeekingAt Higgsfield AI, we strive for excellence, and we are looking for top-tier talent. You are:A proficient SQL and data modeling specialist who prioritizes metric integrity.Passionate about constructing reliable, auditable systems beyond mere dashboards.Skilled at imposing structure within fast-paced and ambiguous settings.An outstanding communicator capable of articulating complex metric logic to various teams including engineering, product management, machine learning, growth, and finance.Driven by the desire to create a company-wide impact and ownership, rather than focusing solely on localized optimizations.This position reports to the VP of Finance and collaborates closely with all departments. The ideal candidate will be located in the San Francisco Bay Area and will be required to work in the office at least two days a week.Your ResponsibilitiesEstablish the Source of TruthTransform product and finance-defined metrics (like engagement, MRR, CAC, LTV, margins, etc.) into sustainable, version-controlled warehouse models (using dbt or similar), ensuring uniform application throughout the company.Resolve conflicting logic across dashboards and teams.Guarantee that executive and board-level reports are based on consistent and traceable warehouse logic.Create GuardrailsEnhance our existing BigQuery-based infrastructure by centralizing business logic in the warehouse and enforcing governance protocols.Deploy automated validation and reconciliation processes between product systems, billing systems, and financial reporting.Avert unnoticed metric drift and unexpected post-close discrepancies.Ensure that new products, models, and features are accurately reflected in reporting.Empower the OrganizationCollaborate with Product, Engineering, ML, Growth, and Finance teams to provide trustworthy, decision-ready data.Enhance documentation, testing, and transparency within the warehouse.Minimize key-person risk while improving overall knowledge sharing.

About Our TeamJoin the Finance Data team within our CFO organization, where we are dedicated to creating innovative internal data products that enhance analytics capabilities and streamline operations across various business units. Our team is the go-to source for technical expertise on impactful, scalable projects, specializing in financial and transactional data that underpins our daily financial activities.Your RoleAs an Analytics Engineer, you will lay the groundwork for scaling analytics across our organization while promoting best practices in data management as we grow. We are committed to shaping the future of our Finance team.You will collaborate closely with key stakeholders within Finance and across other business units to identify challenges and develop sustainable solutions. Additionally, you will lead projects that create significant business value and foster a robust data culture among Finance teams.We are in search of an experienced engineer with a solid background in managing the entire data stack in high-volume transaction environments, specifically overseeing critical ETL pipelines utilized by non-technical teams. As a versatile problem-solver, you will engage in various Finance domains (e.g., Tax datamart, ERP migration, Procurement automation). The ideal candidate thrives in dynamic settings, adapts swiftly to changing requirements, and confidently navigates through ambiguity. Note that this role does not involve training ML models, nor does it focus on ‘product analytics’.This position is based in San Francisco, CA, operating under a hybrid work model of three days in the office each week. We also offer relocation assistance for new hires.Key Responsibilities:Assess the data requirements of Finance teams, including Revenue, Tax, Procurement, Compute & Infrastructure Accounting, and Strategic Finance, translating these needs into actionable technical specifications.Drive the development of data products and tools that empower stakeholders with self-service capabilities, enabling scalable analytics throughout the organization.Lead the dimensional design process—defining, owning, and maintaining business-facing data marts.