About impact.com
impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results.
Your Role at impact.com:
We're looking for an Associate Data Analyst to join our Consumer & Network Insights team.. This is an entry-level to early-career role — you bring some analytical foundation and a genuine appetite to grow, and we'll invest in developing your skills in a data-rich, fast-moving environment.
You'll serve as an analytical bridge between large-scale consumer, network, and campaign data and the teams that act on it — Product, Sales, and Client Success. Your day-to-day involves querying data, building and maintaining dashboards, supporting client-facing reporting, and helping surface the patterns that drive platform improvements and client growth. You'll work closely with more senior members of the Data Science team, learning how to turn raw data into clear, credible narratives that span both consumer behavior and partner network dynamics.
What You'll Do:
Client & Stakeholder Reporting
- Support the preparation of data analyses and narratives for Quarterly Business Reviews (QBRs) with strategic clients — translating campaign results, platform usage, and network performance into clear, actionable takeaways.
- Respond to recurring and ad hoc data requests from Product, Sales, and Client Success teams; deliver timely, accurate outputs.
- Communicate findings in a way that is accessible to non-technical audiences, with appropriate context and caveats.
Consumer & Network Analysis
- Contribute to analyses of consumer behavioral and transactional data alongside partner network data — understanding how consumer journeys intersect with publisher, affiliate, and creator performance.
- Support analysis of seasonal and commercial events — including holiday retail trends such as Black Friday and Cyber Monday — to produce descriptive and forward-looking insights for internal and external stakeholders.
- Identify patterns and anomalies across consumer and network datasets; flag findings to senior team members for interpretation and action.
Benchmarking & Trend Reporting
- Contribute to company-wide benchmarking initiatives by querying, cleaning, and aggregating client data to establish platform and industry performance baselines across both consumer and network dimensions.
- Help produce recurring trend reports that track the health and performance of the partner network alongside consumer engagement metrics.
Dashboard Development & Documentation
- Design and maintain dashboards in Looker (or similar tools) to support recurring reporting needs across the business.
- Ensure all analytical assets are well-documented: metrics definitions, data sources, refresh logic, and known limitations.
- Proactively flag data quality issues and work with the team to resolve them.
Data Pipeline Maintenance
- Maintain and optimize existing SQL and Python scripts used for automated data extraction and transformation.
- Develop good habits around code quality, documentation, and version control from the start.
What You Bring:
- Experience: 0–2+ years of experience in data analytics, business intelligence, or a related quantitative role. Internships, research assistantships, or academic project experience count.
- Technical skills:
- Proficiency in SQL — you can write and debug queries independently on real datasets.
- Working knowledge of Python for data manipulation and analysis (pandas, basic scripting).
- Familiarity with a BI/visualization tool (Looker, Tableau, or similar).
- Comfort with Google Sheets or Excel for ad hoc analysis and communication.
- Analytical foundation: You understand how to frame a question, pull the right data, and interpret results honestly — including knowing when something doesn't add up.
- Communication: Clear written and verbal communication; you can explain what you found and why it matters to people who aren't in the data.
- Work ethic & collaboration: You follow through, ask good questions, and work well within a team. You're comfortable being a junior contributor who is actively building.
- Education: Bachelor's degree in an analytical or quantitative f