Sr Analyst Performance & Insights

Overview

Senior Analyst, Performance & Insights on Roundel's Performance & Insights team, leading scaled and custom analytics initiatives that measure and optimize the business impact of advertisers' media investments.

What you'll do

• Translate business questions into practical analytical and measurement approaches, choosing suitable methods and explaining assumptions, bias and limitations.
• Apply statistical tests, confidence intervals, power and sample-size calculations to assess performance differences and determine whether results are meaningful.
• Use regression, time-series and predictive analysis to understand performance drivers, conversion behavior, seasonality and potential growth or investment opportunities.
• Deliver custom analyses of campaign, audience, creative and customer performance, for existing and emerging business questions.
• Convert recurring analyses and business questions into reusable modules, frameworks, datasets, metrics, code packages, dashboards, and self-service products with clear inputs, quality checks, statistical validation and guidance for interpreting results.
• Present clear recommendations, work with business, measurement, product and data teams, and help analysts adopt new methods and tools.
• Work with Product, Measurement, Data Strategy, GTM, and P&I teams to align analytical capabilities with business needs.
• Explore responsible uses of GenAI to simplify analytical workflows, automate routine work and support insight generation while maintaining appropriate validation and oversight.

What you'll need

• 5+ years of experience in marketing analytics, retail analytics, measurement, data science, or a related analytical discipline.
• Master's degree in Statistics or Economics, Data Science, Analytics or a related quantitative field.
• Strong hands-on knowledge of descriptive statistics; hypothesis testing (t-tests and z-tests); confidence intervals; Pearson and Spearman correlation; proportion and chi-square tests; and the ability to interpret meaningful performance differences and uncertainty.
• Practical experience with A/B testing and experimental design, including test/control groups, randomization, statistical power, and sample-size calculations.
• Ability to assess bias, assumptions, and limitations and explain whether results support a business conclusion.
• Ability to apply linear, multiple linear and logistic regression, time-series analysis, and outlier detection or robust statistics to business problems.
• Advanced SQL and working proficiency in Python for statistical analysis and reusable workflows; experience with relevant libraries such as pandas, NumPy, SciPy or statsmodels and cloud platforms such as GCP or Azure.
• Strong problem-solving, collaboration and stakeholder communication skills.

Nice to have

• ANOVA, bootstrap methods, multiple-comparison corrections, matched controls, difference-in-differences, segmentation/clustering, response models or other advanced predictive and causal techniques.
• Hands-on familiarity with Generative AI and large language model applications in analytical workflows, including prompt design, code assistance, analytical agents/workflows, governed knowledge retrieval, and automated synthesis.
• Experience building analytical solutions and communicating findings clearly, with working knowledge of BI tools and practical GenAI applications.