• Design, implement, and operate cloud-native data pipelines on AWS. • Build and maintain scalable ETL workflows, data lakes, and data mesh components. • Develop and optimize PySpark jobs for large-scale and time-series data. • Manage schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation. • Collaborate closely with data platform, analytics, and product teams.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re hiring our first dedicated data hire to bring ownership, rigor, trust, and access to the data our team depends on every day. If you’re energized by building things from scratch and want your work to directly shape how a mission-driven company makes decisions, this one’s for you. You will own AI-assisted data analytics to democratize access to insights across the entire team. Responsibilities - Own our data pipeline and platform, enabling data analytics across the organization. - Build and maintain an AI-ready semantic layer on top of dbt, so non-technical teams can query company data via natural language tools. - Own canonical metric definitions for all key business metrics, tested and documented in dbt. - Reconcile metrics across sources to establish a single source of truth. - Author and maintain dbt models across staging, intermediate, and mart layers using software engineering best practices. - Govern Amplitude instrumentation: define our event taxonomy, QA, and maintain our instrumentation spec. - Support experiment readouts with a consistent analysis framework and a clear point of view for A/B tests. - Use AI tools as a multiplier across analytics workflows (e.g., SQL authoring, dbt refactoring, testing, root cause analysis). - Modernize our analytics pipeline: deprecate legacy dependencies and build alerting and monitoring infrastructure. - Build and maintain channel attribution mapping - UTM governance, cross-channel QA, and attribution consistency. Qualifications - 3 - 6 years in analytics, data, or analytics engineering; startup or high-growth experience preferred. - A structured thinker who traces problems upstream and builds systems rather than point fixes. - Strong SQL: DRY, performant, readable; you write CTEs and window functions naturally. - Fluent in dbt: you understand model layer conventions and treat analytics code like software code. - Deep experience with Amplitude: you’ve governed instrumentation at scale, not just queried events. - Actively using AI tools in your analytics workflow (Cursor, Claude, dbt Copilot, or similar). - Familiarity with Prefect, Metabase, and BigQuery a plus. - Comfortable reading Go (or similar backend) code for the purpose of scoping data tables and understanding event structures. Personal Characteristics - Ownership-oriented - you define the standard, you don’t wait to be handed one. - Intellectually curious and always learning. - A clear communicator who can make data complexity accessible to non-technical partners. - Comfortable with ambiguity and energized by building from scratch. - Collaborative and kind - you take the work seriously without taking yourself too seriously. - Inspired by our mission of changing the world of family planning and empowering people through the fertility journey. Our Stack Our platform runs on React, Go, and Postgres. Data is moved into BigQuery through custom ingestion pipelines, transformed with dbt, orchestrated with Prefect, and surfaced through Amplitude and Metabase. We occasionally use Zapier for lightweight SaaS integrations and operational automations. Company Description We are a fully remote team and are spread out across the coasts. Since we’re located all over the country, communication using Slack, Gmail, Zoom, and other tools is key. We communicate regularly throughout the day, and you’ll never be alone. We believe in giving our team members autonomy, and place value on the output of each team member. Above all, we’re proud to engage in meaningful work that will impact tons of people throughout the family-building process. We are an equal opportunity employer. Individuals seeking employment at our company are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Additionally, we encourage candidates who have non-traditional/diverse backgrounds to apply. Candidates who have been challenged or chosen to challenge themselves in unique ways, but may not fit all specified criteria are still encouraged to apply and share why this is such a compelling opportunity for you.

• Design and implement ETL processes using Talend • Manage data integration from PostgreSQL to OpenSearch/ElasticSearch • Support and optimize data pipelines and APIs written in Java • Work closely with both frontend and backend teams • Participate in planning sessions, sprint reviews, and architecture discussions (bi-weekly and weekly rhythms) • Collaborate in a dynamic agile team with regular ceremonies and coordination with German teams

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for an Analytics Engineer to join our Technical Product Analytics team. Our group powers data-driven insights across our technical products and customer experiences. As an Analytics Engineer, you’ll be responsible for building and maintaining a data foundation that enables analysts, product managers, engineers, and growth teams to measure user behavior. The ideal candidate will have a passion for data mining, the ability to deliver complex data models, solve data problems, a strong technical background, and expertise in data visualization tools (PowerBI). Responsibilities - Data Architecture & Modeling: - Design, build, and maintain scalable dbt models and data marts supporting product analytics use cases across web, mobile, and agent-facing platforms. - Develop a unified data model integrating event data (Segment.io). - Implement clean metric logic (sessionization, funnels, conversions, retention) with clear definitions and metric lineage. - Pipeline Development & Governance: - Build and automate ELT pipelines (using dbt) feeding the product analytics warehouse (Redshift). - Enforce data quality through schema tests, assertions, and anomaly detection frameworks. - Maintain metadata and documentation to ensure transparency in the analytics layer. - Cross-Functional Collaboration: - Partner with engineering teams to define data contracts and ensure reliable event instrumentation across various products. - Work closely with analysts and product managers to translate business requirements into technical data models with reusable transformations. - Dashboard Development: - Build and maintain dynamic sales funnel dashboards (using PowerBI), providing real-time insights into lead progression, conversion rates, and KPIs. - Ownership of Analytics Areas: - Take ownership of key analytics areas, including multi-raters, aggregators, and customer behavior in the insurance sales funnel. - Technical Expertise: - Apply strong knowledge of SQL, Python, and data visualization to solve complex data problems. - Insurance Domain Knowledge: - Leverage understanding of the insurance industry to provide meaningful insights and guide product decisions, particularly in areas related to the insurance sales process. Qualifications - Bachelor’s degree in computer science, Mathematics, Statistics, Data Science, Business Analytics, or a related field. - Alternatively, an equivalent combination of education and/or experience in product analytics, data analysis, or a related discipline. - 5+ years of experience in data analytics, analytics engineering, data engineering. - 4+ years of experience in product analytics, focusing on user behavior, engagement metrics, and product performance analysis. - Proven track record of collaborating with product teams to establish measurement tools and processes. - Strong background in developing dashboards, reporting tools, building data models. Preferred - Experience in P&C insurance. Knowledge and Skills - Proficiency in SQL and Python for data analysis and building data pipelines. - Strong experience with data visualization tools (PowerBI) to create and maintain comprehensive dashboards. - Expertise in relational and non-relational databases and data sources. - Deep understanding of ETL/ELT processes and tools (e.g., dbt). - Advanced data skills with the ability to work with large structured and unstructured data sets. - Strong analytical and creative thinking, comfortable working in ambiguous situations. - Experience in managing and communicating data strategies and models to internal stakeholders. - Demonstrated expertise in data mining. - Solid experience with cloud-based advanced data and analytics environments. - Excellent problem-solving skills and critical thinking abilities. - Strong written and verbal communication skills, capable of effectively conveying complex information. - Ability to interact and collaborate with senior management and cross-functional teams. - Passion for data-driven decision-making and continuous improvement in analytics practices. - Demonstrate the company’s core values of integrity, customer focus, innovation, and collaboration. Benefits - Competitive compensation. - Flexibility to work from anywhere in the United States for most positions. - Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours). - Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus). - Medical, dental, vision, life, and pet insurance. - 401 (k) retirement savings plan with company match. - Engaging work environment. - Promotional opportunities. - Education assistance. - Professional and personal development opportunities. - Company recognition program. - Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more. Company Description At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.