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!

• Data Model Development: Craft and maintain scalable, efficient, and performance-optimized data models to power business applications and analytics. • Platform Optimization: Enhance our data platform with best practices for improved performance, consistency, and accuracy. • Technology Adoption: Champion the latest data technologies and methodologies, staying ahead of industry trends to elevate team productivity and platform functionality. • Problem-Solving: Proactively address data challenges to boost business outcomes, using data-driven insights. • Collaboration: Work closely with multiple technical and stakeholder teams, leveraging data to drive strategic decisions and foster a culture of data-driven excellence.

• Build and maintain data pipelines from key business systems • Design ELT workflows to ingest, normalize, and transform data • Architect, build, and implement a centralized data warehouse • Develop dashboards, operational monitors, and recurring analytics • Develop early predictive and prescriptive models • Work closely with business stakeholders to understand requirements

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Sr. Manager, Measurement is a strategic leader responsible for developing and governing the enterprise measurement framework across digital and omnichannel initiatives. This role ensures that senior leaders have access to actionable insights connecting customer, distributor, and business behaviors to outcomes. The Sr. Manager partners across global markets, product, marketing, and technology to build measurement strategy, optimize performance reporting, and demonstrate the business impact of digital investments. - Lead the building and evolution of the enterprise measurement framework across websites, apps, campaigns, and commerce experiences. - Translate complex data into clear, executive-ready narratives that demonstrate digital impact on revenue, engagement, retention, and distributor success. - Drive consistency and rigor in KPI design across teams, distinguishing between adoption, engagement, impact, and scale readiness metrics. - Partner with Technology and Data Engineering teams to ensure accurate tagging, clean data pipelines, and scalable measurement infrastructure. - Leverage advanced analytics tools (Adobe Analytics, Snowflake, Power BI) and programming languages (SQL, Python, R, DAX) to build attribution models, optimize conversion tracking, and deliver business-ready insights. - Collaborate with Marketing Technology teams to improve instrumentation, governance, and cross-platform integration. - Manage and mentor a team of analysts, encouraging development in analytical craftsmanship, business insight, and data storytelling. - Champion automation, visualization, and data governance to accelerate decision-making and increase confidence in digital reporting. Qualifications - 8+ years of experience in digital analytics, measurement, or insights with at least 2 years leading teams. - Expertise in Adobe Analytics (Workspace, Report Builder, Data Warehouse, Target, Experience Manager). - Advanced technical proficiency in SQL, Snowflake (preferred), Power BI, Databricks, and Python or R. - Demonstrated ability to influence executives with data-driven recommendations. - Proven record of building scalable, enterprise-level measurement frameworks. - Excellent leadership, communication, and cross-functional partnership skills. - Strong storytelling ability to translate data into strategic clarity for senior audiences. Requirements - Bachelor’s degree required; advanced degree (MBA or related field) preferred. Benefits - Group Health Programs including Medical, Dental, Vision, Health Savings Account (HSA), Flexible Spending Accounts (FSA), Basic Life/AD&D, Short-Term and Long-Term Disability, and an Employee Assistance Program (EAP). - Other Voluntary Benefit Programs including a 401(k) plan, Wellness Incentive Program, Employee Stock Purchase Plan (ESPP), Supplemental Life/Critical Illness/Hospitalization/Accident Insurance, and Pet Insurance. - Paid time off including Company-observed U.S. Holidays, Floating Holidays, Vacation, Sick Time, a Volunteer Program, Paid Maternity and Paternity Leave, Bereavement Leave, Personal Leave, and time off for voting.