Senior Data Analyst

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics and Levi’s, visit www.impact.com.

Impact's analytics team is looking for a Senior Data Analyst ready to lead strategic analytical initiatives, apply rigorous decision science methods, and influence business decisions at the executive level. As the business grows, we increasingly rely on rigorous analysis, experimentation, and evidence-based recommendations to inform strategic decisions across the organisation.

As a Senior Data Analyst, you'll lead cross-functional analytical initiatives, apply structured analytical approaches to measure business impact, and translate complex findings into compelling executive narratives. You'll partner with stakeholders across product, operations, finance, and marketing to drive strategic decisions with measurable business outcomes. You'll work as part of a collaborative, globally distributed analytics team, partnering closely with Analytics Engineers, Data Platform Engineers, and stakeholders across Product, Operations, Finance, and Marketing. Our ideal candidate combines strong analytical skills with business acumen

• →Lead cross-functional analytical initiatives spanning multiple business domains, delivering insights that directly influence strategic decisions.
• →Conduct analysis of large, complex datasets to identify patterns, trends, correlations, and anomalies that drive business value.
• →Design and apply experiments and causal inference methods to measure the impact of business changes rigorously and inform strategic decisions.
• →Develop and maintain forecasting models, scenario analyses, and segmentation to support strategic planning and resource allocation.
• →Design, develop, and maintain interactive dashboards and automated reports, ensuring they provide clear and actionable insights to stakeholders at all levels.
• →Translate complex analytical findings into persuasive executive narratives and evidence-based recommendations with clear next steps and expected impact.
• →Establish and enforce analytical standards that improve quality, rigour, and consistency across the analytics team.
• →Mentor analysts across levels, building team capability and fostering a culture of analytical excellence.
• →Facilitate cross-team consensus on analytical findings and methodology, navigating competing priorities and communicating trade-offs clearly.
• →Define analytical requirements and validation criteria for data products; collaborate with analytics engineers to ensure production implementation meets analytical needs.

• 5+ years of experience in data analysis or business intelligence
• Advanced SQL and strong Python or R programming skills
• Strong command of statistical methods including hypothesis testing, power analysis, confidence intervals, regression, and uncertainty quantification
• Experience with experimentation design, A/B testing, and causal inference methods such as difference-in-differences or propensity matching
• Strong data analysis, visualisation, and storytelling skills
• Experience with forecasting, segmentation, and analytical modelling
• Hands-on experience with data visualisation and BI tools such as Looker, Tableau, Power BI, or similar
• Experience with Google Cloud Platform, BigQuery, or similar cloud analytics platforms
• Proven track record of influencing strategic decisions through analysis with measurable business outcomes
• Experience leading cross-functional analytical initiatives and managing analytics projects
• Strong verbal and written communication skills, with the ability to present to executive audiences
• Experience mentoring junior and mid-level analysts
• Proficiency with version control (Git) for reproducible, maintainable analytical work
• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or a related field is a plus
• Experience in the digital marketing technology industry is a plus