Your Role at impact.com:<\/p>\n
\tImpact’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.
\n\tAs 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<\/p>\n
What You’ll Do:<\/p>\n
\tLead cross-functional analytical initiatives spanning multiple business domains, delivering insights that directly influence strategic decisions.
\n\tConduct analysis of large, complex datasets to identify patterns, trends, correlations, and anomalies that drive business value.
\n\tDesign and apply experiments and causal inference methods to measure the impact of business changes rigorously and inform strategic decisions.
\n\tDevelop and maintain forecasting models, scenario analyses, and segmentation to support strategic planning and resource allocation.
\n\tDesign, develop, and maintain interactive dashboards and automated reports, ensuring they provide clear and actionable insights to stakeholders at all levels.
\n\tTranslate complex analytical findings into persuasive executive narratives and evidence-based recommendations with clear next steps and expected impact.
\n\tEstablish and enforce analytical standards that improve quality, rigour, and consistency across the analytics team.
\n\tMentor analysts across levels, building team capability and fostering a culture of analytical excellence.
\n\tFacilitate cross-team consensus on analytical findings and methodology, navigating competing priorities and communicating trade-offs clearly.
\n\tDefine analytical requirements and validation criteria for data products; collaborate with analytics engineers to ensure production implementation meets analytical needs.<\/p>\n
Required Skills & Experience:<\/p>\n
\t5+ years of experience in data analysis or business intelligence
\n\tAdvanced SQL and strong Python or R programming skills
\n\tStrong command of statistical methods including hypothesis testing, power analysis, confidence intervals, regression, and uncertainty quantification
\n\tExperience with experimentation design, A\/B testing, and causal inference methods such as difference-in-differences or propensity matching
\n\tStrong data analysis, visualisation, and storytelling skills
\n\tExperience with forecasting, segmentation, and analytical modelling
\n\tHands-on experience with data visualisation and BI tools such as Looker, Tableau, Power BI, or similar
\n\tExperience with Google Cloud Platform, BigQuery, or similar cloud analytics platforms
\n\tProven track record of influencing strategic decisions through analysis with measurable business outcomes
\n\tExperience leading cross-functional analytical initiatives and managing analytics projects
\n\tStrong verbal and written communication skills, with the ability to present to executive audiences
\n\tExperience mentoring junior and mid-level analysts
\n\tProficiency with version control (Git) for reproducible, maintainable analytical work
\n\tBachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field is a plus
\n\tExperience in the digital marketing technology industry is a plus<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( ) or<\/p>\n
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