AI Analytics Engineer (Business Analytics)

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.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

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 Extend:Extend is transforming the post-purchase landscape for retailers and customers by delivering AI-powered solutions that elevate customer satisfaction and enhance revenue growth. Our all-encompassing platform streamlines customer service, simplifies returns and exchanges, automates fulfillment processes, and offers product and shipping protection, all while ensuring top-tier fraud detection. By fusing cutting-edge technology with outstanding customer support, Extend equips businesses to foster consumer trust and loyalty, driving down costs and boosting profitability.Today, Extend collaborates with over 1,000 premier merchant partners spanning various sectors, including fashion, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports, fitness, and beyond. Supported by leading technology investors, our headquarters is situated in downtown San Francisco.About the Role:The Revenue Analytics team is dedicated to crafting strategic recommendations based on data to scale, boost, and recover revenue. We excel at integrating insights from Sales, Growth, Product, Engineering, and Risk to unearth growth and expansion opportunities that directly impact the company’s profitability. If you're passionate about distilling complexity and uncertainty into measurable outcomes, you'll flourish on our team.What You Will Be Doing:Cross-functional Leadership: Drive cross-functional teams independently through complex queries to influence and enact revenue-generating initiatives and recommendations.Revenue Enhancement: Develop and implement innovative strategies aimed at maximizing revenue and improving client acquisition across the entire revenue pipeline.Data-Driven Decision Making: Spearhead enhancements to our quantitative analysis methods (simulation models, A/B testing, causal impact analysis, etc.) to effectively guide strategic direction, with opportunities to present insights to leadership regularly.Data Infrastructure Management: Oversee, refine, and enhance existing data pipelines to leverage data analytics effectively, defining data structures, and utilizing advanced tracking methods to identify revenue opportunities.Exemplary Standards: Establish a benchmark for the team regarding analytical thinking and excellence.

Join Cloudflare as a Distributed Systems Engineer within our dynamic Data Platform team, focusing on Analytics and Alerts. In this position, you will play a pivotal role in building and optimizing distributed systems that power our data analytics capabilities, providing real-time insights and alerts to enhance our customer experience.

Join Cloudflare as a Distributed Systems Engineer focusing on our Data Platform, where you will play a pivotal role in developing analytics and alert systems that enhance our services. You will collaborate with a talented team to design scalable and efficient systems to manage and analyze vast amounts of data. Your work will directly impact the performance and reliability of our offerings, ensuring our customers have the best possible experience.

Join Lever's dynamic go-to-market team as a Senior Solutions Engineer, where your expertise will directly influence our customer's analytics and business intelligence workflows. In this pivotal role, you will collaborate closely with the sales, product, and customer success teams to ensure a seamless integration of the Sisu platform into our client’s operations. Your responsibilities will include establishing technical pre-sales relationships, designing innovative technical architectures, and crafting tailored solutions to complex challenges.As a vital link between Sales and Product, your insights will drive the evolution of our operational analytics platform. You will provide valuable feedback to the Product and Marketing teams, shaping the future roadmap and go-to-market strategies. This position offers the unique opportunity to leverage your analytical and data science expertise while engaging in creative brainstorming sessions with customers to tackle demanding problems.Within our compact and agile team, you will not only engage with clients but also participate in mentoring new team members, presenting at various events, and contributing to content that reaches a global audience.

Join allspice as a Solutions Engineer, where you will play a pivotal role in delivering innovative technology solutions to our esteemed clients. In this position, you will collaborate closely with cross-functional teams to understand client needs, design comprehensive solutions, and ensure successful implementation. Your expertise will help drive customer satisfaction and foster long-term partnerships.

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.

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.

Role overview As an Innovative Solutions Engineer at usekernel in San Francisco, the main focus is on designing and delivering technical solutions that match each client’s needs. The role involves close collaboration with teams across the company, from gathering requirements to building and integrating systems. What you will do Collaborate with clients and internal teams to understand detailed requirements Design and implement solutions tailored to individual customers Integrate new systems with clients’ current technology platforms Support smooth rollouts and address technical challenges as they arise Work to improve customer satisfaction and contribute to overall business growth

Join Calm as an Analytics Engineer and become an integral part of our mission to make the world a healthier and happier place. You will leverage your analytical skills to derive insights that guide our data-driven decisions and enhance our users' experiences. Your role will involve collaborating with cross-functional teams to optimize data flow and ensure data integrity while developing scalable data models.

About the RoleJoin our dynamic Marketing Innovation team as a Data Scientist, where you will play a pivotal role in developing innovative internal tools and systems that revolutionize our marketing strategies and enhance customer engagement.Our mission is to create product-like systems that:Provide personalized, consultative experiences to millions of SMB customers through intelligent lifecycle and sales interactions.Tailor messaging, creative solutions, and outreach based on real-time behavioral insights.Facilitate intelligent routing, targeting, and engagement at scale, minimizing the need for manual intervention.In this position, you will collaborate closely with Product and Engineering teams to ensure that our systems deliver measurable business value.What You’ll DoEstablish success metrics for marketing systems (e.g., incremental pipeline generated, conversion improvements, efficiency gains), incorporating leading indicators for ongoing refinement.Create measurement and experimentation frameworks for continuous systems across lifecycle automation, creative generation, targeting, and routing, employing methods like holdouts, staged rollouts, and quasi-experimental designs.Collaborate with Product Managers and engineers to track, assess, and analyze system launches, ensuring every significant release is observable and accurately evaluated for incremental impact.Convert behavioral and model-driven insights into strategic decisions: determining what to scale, identifying intervention points, and optimizing resource allocation across segments.Develop repeatable decision-making processes (pre-launch criteria → post-launch evaluation → subsequent actions) that translate analysis into tangible improvements.What We’re Looking ForA minimum of 10 years of experience in a quantitative role (e.g., Data Science, Decision Science), ideally within a product-focused organization fostering B2B growth, with familiarity in SMB or scaled self-service models.Strong foundation in experimentation, causal inference, and applied statistics, with a track record of designing and interpreting tests in real-world, always-on environments.Proficient in SQL and Python, with the ability to work with complex, incomplete behavioral datasets to assess impact.Demonstrated success in translating findings into impactful decisions (product development, lifecycle management, targeting, routing).Excellent communication skills to convey complex data insights to diverse audiences and stakeholders.

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.

About UsAt Passage, we are dedicated to leveraging technology to eliminate barriers that prevent talented individuals from accessing opportunities. By integrating cutting-edge AI advancements with human insights, we strive to create a more equitable landscape.Our commitment to access: We believe in making opportunities affordable. Through our affiliate, Passage Funding, we offer financial solutions for international students.Our core belief: Access to opportunities should be universal, irrespective of geography, gender, or socioeconomic status. We reinvest a portion of our profits to support marginalized communities, including our initiatives for Afghan students.Our product is access: We develop AI solutions that transform paperwork into actionable decisions, leading to tangible outcomes.Our ambitious mission: By 2030, we aim to dismantle the barriers that hinder brilliant minds from obtaining the opportunities they deserve.The OpportunityWe are seeking a Staff Analytics Engineer to spearhead the development of Passage’s analytics infrastructure and decision-making framework.This pivotal role combines engineering, analytics, and business strategy. You will architect systems that convert operational data into dependable insights utilized throughout the organization.From your first day, you will collaborate closely with leadership across engineering, growth, credit, finance, product, and operations. You will design the data architecture, establish pipelines and analytical models, and create metrics that drive Passage’s operational strategies.As a senior member of our team, you will have a significant impact across the organization, developing the analytics layer of our data platform, ensuring the integrity and reliability of decision-related data, and establishing best practices for data utilization in operations and growth.As Passage continues to expand, you will help define our long-term data strategy and play a crucial role in enhancing our analytics capabilities.We are a dynamic, high-ownership team that operates swiftly. Our structure is flat, with no limits on professional growth. We are looking for someone enthusiastic about constructing the data intelligence of the company, establishing best practices, and eventually contributing to the growth of the data team as we scale.

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.

Peregrine Technologies is backed by prominent investors from Silicon Valley, providing innovative solutions to public safety organizations, local and state governments, federal agencies, and private institutions. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, enabling swift and precise decision-making that enhances outcomes across various sectors. Currently, we serve hundreds of clients across over 30 states and two countries, positively impacting more than 125 million individuals. As we expand our footprint into enterprise-level solutions and international markets, our influence continues to grow.The RoleAs the Manager of Business Intelligence and Analytics Engineering at Peregrine, you will be instrumental in defining the architecture, access, and application of data throughout the organization. You will lead the development and implementation of our analytics infrastructure, collaborating with teams in Product, Sales, Finance, and Operations to convert raw data into meaningful insights and actionable strategies.This role is highly collaborative and visible, requiring you to engage directly with business leaders to establish key performance indicators (KPIs), automate processes, and enhance our data architecture. If you thrive in dynamic environments, enjoy building data pipelines from business inquiries, and are eager to shape the future of data within a mission-driven organization, we encourage you to apply.What You'll DoOwn and expand our data warehouse to accommodate a rapidly growing product and Go-To-Market ecosystem.Design and sustain ETL pipelines using dbt to integrate data from various tools, applications, and external platforms.Create clean, reusable data models to support reporting needs across Sales, Marketing, Product, and Finance.Develop dashboards and analyses to identify trends in revenue, product usage, and customer behavior.Establish data quality checks and alerts to guarantee the accuracy, timeliness, and reliability of data.Assist in planning and forecasting by collaborating with teams to define KPIs and create predictive models.What We Look ForA minimum of 4 years of experience as a BI Engineer, Analytics Engineer, or Data Engineer within a fast-paced technology environment.Strong proficiency in SQL and best practices for data modeling.Expertise in dbt, modern data warehouses (such as Snowflake or BigQuery), and orchestration tools like Airflow or Prefect.

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.

Role Overview Join our innovative team as a Senior Data Engineer focused on Solutions Architecture, where you will architect, develop, and sustain our critical data infrastructure that enhances our renewable energy operations. In this dynamic role, you will bridge the realms of renewable energy and data, creating pipelines that handle various data types, from real-time asset performance metrics to intricate trading and risk analytics. This hybrid position allows you to contribute to the advancement of clean energy initiatives while utilizing a modern data stack, including Snowflake, Dagster, dbt, Modal, and GitLab. Key Responsibilities Analytics Infrastructure & Data Warehouse Management Design, implement, and manage scalable data infrastructures to meet the analytical and reporting demands of the enterprise. Oversee Snowflake instances, focusing on performance optimization, security measures, and planning for increasing data volumes. Enhance query performance and resource efficiency to minimize costs and accelerate processing times. Data Pipeline Development & Orchestration Create and orchestrate sophisticated ETL/ELT workflows utilizing Dagster to ensure dependable, automated data processing for asset management and energy trading. Construct robust data pipelines capable of managing high-throughput, time-sensitive energy market data, along with asset generation and performance metrics. Establish workflow automation and dependencies for essential business operations. Data Transformation & Analytics Support Design and maintain dbt models to convert raw data into business-ready analytical datasets and dimensional models. Implement efficient SQL transformations for complex calculations related to energy markets and asset performance. Facilitate advanced analytics efforts through effective data preparation and feature engineering. Data Quality & Governance Develop comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets. Establish data lineage tracking and privacy controls to comply with regulatory standards in the energy industry. Create alerting and monitoring systems for data pipelines, encompassing error management, SLA monitoring, and incident response.

Role Overview Mixpanel is looking for a Solutions Engineer in San Francisco (hybrid) to work closely with clients on technical projects. This role focuses on helping customers get the most from Mixpanel’s analytics platform, addressing technical questions, and supporting their integration and adoption efforts. What You Will Do Partner with clients to understand their technical needs and business goals Guide customers through implementation and integration of Mixpanel’s analytics tools Troubleshoot and resolve technical issues as they arise Collaborate with internal teams to deliver solutions that improve customer engagement and business outcomes Location This position is based in San Francisco with a hybrid work arrangement.