• Work with clients as a critical participant in their BigQuery and Looker analytics journey • Understand each client’s needs from an organizational, process, and technological perspective • Education component will center around Looker enablement and co-development • Work side by side with client technical teams to guide them on LookML modeling best practices • Lead interactive working sessions and conduct hands-on workshops to develop models and explores together • Answer in-depth questions about Looker’s semantic layer • Development component will include technical tasks such as designing, implementing, and maintaining data models in Looker, ETL pipelines, and building actionable dashboards

• Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the company • Develop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasets • Create and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assets • Partner with data analysts and business teams to understand their analytical needs and translate them into scalable data solutions • Implement data quality checks and monitoring to ensure accuracy and reliability of analytics datasets • Optimize SQL queries and data pipelines for performance and cost efficiency • Support strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metrics • Contribute to data governance practices including data quality standards, PII handling, and metadata management • Mentor junior team members and promote best practices in data modeling and analytics engineering

• Develop and own core data models that enable faster, better decisions across the organisation • Design, develop, and support data pipelines, warehouses, and reporting systems to solve business operations, user, and product problems • Build internal tools leveraging AI to 10x team productivity and enable self-serve analytics • Work closely with analysts and finance to create, test, and maintain data models for our analytics, trading, and staking products • Transform and model blockchain data (on-chain transactions, DeFi protocols, trading activity) into actionable datasets • Take initiative and ownership of solutions to data quality and workflow challenges • Drive scalable approaches to data governance and observability • Leverage AI tools (Claude Code, Cursor) throughout the development lifecycle - from SQL generation to pipeline development to documentation

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Reddit is looking for a Measurement Lead to help our advertisers succeed on our platform. This role will be an integral part of the Marketing Sciences team, and overall Revenue organization – driving our value proposition to our clients and their partners by continuously testing, learning and improving the power and performance of Reddit as a media platform. - Daily responsibilities will span advertising measurement execution, measurement strategy, client consultation, vendor relationships, and working closely with Reddit’s sales, product, and product marketing teams. - Leverage measurement results to drive business growth for our clients - developing benchmarks, media & creative best practices, and refinement/optimization to audience and targeting strategy to improve efficiency and effectiveness. - Develop and execute mutual learning plans with clients in order to co-develop Reddit best practices. - Work and consult across a breadth of measurement types including brand lift, conversion/sales lift, multi-touch attribution and media mix modeling. - Work with measurement vendors and with advertisers’ internal analytics teams to understand methodologies and consult with clients on their impact on Reddit. - Support our go-to-market teams with your measurement expertise, industry knowledge, and insights. Qualifications - 8+ years of experience in advertising or analytics at a research vendor, measurement company, social media platform, media owner, client or agency partner – with at least 1 of those years working in digital advertising. - Familiarity with attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion tracking, multi-touch attribution (MTA) and media mix modelling (MMM). - Knowledge of North America Measurement solutions, vendors, and norms. - A knowledge of experimentation and familiarity with the underlying statistical methods. - A strong background in the execution, analysis, and presentation of quantitative advertising research. - Experience working closely with and developing relationships with analytics professionals at advertisers and advertising agencies. - Experience working with measurement vendors, product management, and product marketing teams to bring new services and capabilities to life at a technology company. - A working knowledge of advertising technology, including ad serving, targeting, optimization and relevant data flows. - Exceptional written and oral communication skills – you’re articulate and engaging. Benefits - Comprehensive Healthcare Benefits and Income Replacement Programs. - 401k with Employer Match. - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support. - Family Planning Support. - Gender-Affirming Care. - Mental Health & Coaching Benefits. - Flexible Vacation & Paid Volunteer Time Off. - Generous Paid Parental Leave.