Forward - Senior Data Analyst, Advanced Analytics & Data Science
Role Overview
ShyftLabs is seeking an experienced Senior Data Analyst to support Retail Media Network initiatives for an enterprise client.
The client-facing role uses advanced analytics and data science to assess advertising performance and support strategic decisions.
Key Skills for This Role
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Opportunity
ShyftLabs is seeking an experienced Senior Data Analyst to support Retail Media Network initiatives for an enterprise client.
The client-facing role uses advanced analytics and data science to assess advertising performance and support strategic decisions.
What you'll do
- Analyze campaign performance, attribution, ROAS, and incrementality; identify advertising optimization opportunities.
- Conduct exploratory analysis, statistical modeling, hypothesis testing, forecasting, segmentation, and predictive modeling.
- Build dashboards, analytical models, and scalable reporting with Tableau, Looker, or comparable BI tools.
- Use SQL, BigQuery, and Python to extract, transform, analyze, and validate large datasets.
- Automate recurring reports and analytical workflows, including data validation.
- Work with client stakeholders and technical teams to define requirements and deliver actionable recommendations.
- Present insights and visualizations to technical and non-technical audiences; coordinate analytical projects through delivery.
- Document analytical methods, data definitions, business logic, and reporting processes; mentor junior analysts.
What you'll bring
- 4–7 years of experience in data analytics, BI, advanced analytics, data science, or a related quantitative field.
- Strong SQL and BigQuery proficiency, including large datasets, transformations, analytical models, and query optimization.
- Hands-on Python and analytical library experience; the description lists Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, or equivalent tools.
- Experience with statistical analysis, exploratory analysis, hypothesis testing, regression, forecasting, and segmentation.
- Strong dashboard, visualization, and reporting experience with Tableau, Looker, or comparable BI platforms.
- Experience applying analytics to business performance, campaign effectiveness, marketing analytics, or advertising measurement.
- Familiarity with attribution, ROAS, incrementality, campaign optimization, and performance measurement is highly desirable.
- Experience automating reporting and data validation; strong understanding of data quality, metric definitions, documentation, and governance.
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