Responsibilities

• Execute Data Analysis & Modeling Projects: Perform structured analyses and build models to address key business questions. Work with large datasets to explore patterns, engineer features, and apply appropriate analytical techniques (e.g., regression, classification, time series, or other statistical/ML methods). Ensure a high standard of rigor, including data validation, model testing, and iteration.
• Support Model Development & Validation: Partner with senior team members to develop and refine advanced models. Contribute to data preparation, methodology selection, and model validation. Perform diagnostic analyses to evaluate model performance and identify opportunities for improvement.
• Generate Insights and Reports: Translate analytical outputs into clear, actionable insights. Develop concise deliverables (slides, summaries, visuals) that communicate what is happening, why it matters, and what actions should be taken. Support stakeholder discussions and respond to follow-up questions with data-backed reasoning.
• Collaborate with Marketing Teams for Data Gathering & Context: Work closely with Marketing, Finance, and other teams to gather data inputs and understand business context. Ensure analyses reflect real-world conditions, including promotions, operational changes, and external factors.
• Maintain Dashboards and Ongoing Analytics Tools: Support ongoing reporting, dashboards, and analytical tools. Refresh data, validate outputs, and identify opportunities to improve automation, usability, and insight generation.
• Contribute to Data Quality and Governance: Promote strong data practices by identifying inconsistencies, validating inputs, and collaborating with partners to improve data quality. Help ensure reliable and consistent datasets for analysis.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Engineering). Advanced degree is a plus but not required
• 3+ years of experience in data analysis or data science
• Strong experience working with large datasets, applying statistical methods, and generating business insights
• Experience with SQL and at least one programming language (Python or R)
• Experience with data manipulation, statistical analysis, and visualization
• Familiarity with data visualization tools such as Tableau, Power BI, or similar is a plus
• Understanding of key business and performance metrics (e.g., growth drivers, ROI, conversion, customer behavior)
• Strong attention to detail and quality control
• Strong written and verbal communication skills
• Ability to work independently and as part of a team
• Curiosity and willingness to learn new tools, techniques, and business domains

Preferred

• Experience with a range of modeling approaches (predictive modeling, forecasting, segmentation, experimentation, etc.) is preferred.
• Exposure to marketing, sales, or customer data is valuable but not required.
• Familiarity with tools such as Tableau, Power BI, or similar is a plus.

Benefits

• A full range of medical, financial, and/or other benefits, dependent on the position, is offered.