• Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery • Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipelines alongside you • Build product reporting infrastructure: Create reliable, performant marts and models that power product dashboards and self-service analytics • Design scalable data models: Apply modeling frameworks (one big table, entity tables, Kimball) tailored to product analytics use cases • Optimize and monitor: Maintain pipeline health, optimize query performance, and implement data quality monitoring • Enable the team: Document solutions, establish best practices, and help upskill Product Analysts on pipeline development • Integrate cross-functional data: Work across domain boundaries to unify product data into cohesive reporting structures

• Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes • Design and manage data warehouses to support advanced analytics, focusing on creating 'Gold Standard' data models • Maintain comprehensive documentation of all data engineering processes • Design and manage data lakes, warehouses, and databases to support advanced analytics and AI workflows • Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues

• Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics. • Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability. • Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products. • Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business. • Ensure Quality: Champion high standards for development, including robust change management, source control, code reviews, and data monitoring as our products and data evolve.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As part of the Insights at BlueLabs, you’ll be working with a group of analysts and data scientists who work across BlueLabs’ client sectors, including commercial, political, and non-profit clients, to inform data-driven decisions and strategy. - This position requires a mix of analysis and data management as well as client presentation and communication. - You’ll be responsible for hard analysis as well as putting together the data infrastructure, reports, and calculators that will power our solutions. - Creating client-facing materials that summarize findings is also part of the role. - Analysts at BlueLabs have the best understanding of the nuances of a client’s data and our solutions. - Some work is templated, but the team excels when they come up with creative solutions to problems. - Examples of projects include: - Analyzing polling data to discover trends and insights and creating reports that communicate findings. - Building crosstabs that detail the makeup of an advertising audience, target universe, or group of survey respondents. - Presenting findings to clients and stakeholders, who may be non-technical or highly technical. - Mentoring analysts or fellows and supporting their growth and development. - Completing other reasonable tasks as assigned by management. Qualifications - At least a bachelor’s degree in a related field with a statistical background or 3+ years of experience analyzing data and building reports. - Passionate about harnessing data-driven solutions to improve social outcomes. - Ability to manage large projects from beginning to end, taking ownership of the work and the end product. - Capable of tackling broad, open-ended questions with minimal guidance. - Strong leadership skills to guide and mentor junior analysts on the team. - Eager to learn techniques in data management, analysis, and visualization. - Ability to recognize patterns and check assumptions. - Excellent attention to detail and a keen eye for design. - Experience manipulating data to identify clear insights, even under tight deadlines. - Experience with data visualization and business intelligence tools. - Experience creating maps with GIS data and using software such as QGIS or ArcGIS. - Experience with programming languages such as Python and SQL. - Experience with spreadsheet and presentation software (Excel, Google Sheets, PowerPoint, Keynote). Requirements - Understanding of statistical concepts and ability to interpret results for non-analysts. - Comfortable with tools to access and analyze big data sets, such as SQL and statistical/spreadsheet software. - Experience with business intelligence tools for data visualization. - Strong writing skills and proficiency in PowerPoint, Keynote, and other consultant tools. Benefits - Salary: $95,000. - Premier health, dental, and vision insurance plans. - 401K matching. - Unlimited paid time off. - Paid personal and volunteer leave. - 13 paid holidays. - 15 weeks paid parental leave. - Professional development stipend & tuition reimbursement. - Macbook Pro laptop & tech accessories. - Bring Your Own Device (BYOD) stipend for mobile device. - Employee Assistance Program (EAP). - Supportive & collaborative culture. - Flexible working hours. - Remote friendly (within the U.S.). - Pre-tax transportation options for commuting to our office in Washington, DC. - Lunches and snacks. - And more!