Senior Data Analyst

365 Retail Markets - Chicago, IL

Full-time - Mid Level

Chicago, IL

Wholesale Trade Agents and Brokers

About the position

The Senior Data Analyst at 365 Retail Markets is a pivotal role designed for a highly skilled individual who excels in a fast-paced, data-driven environment. This position focuses on analyzing large datasets to identify patterns and trends, suggesting key performance indicators (KPIs) that inform business decisions. The analyst will work closely with the Senior Product Manager to develop and enhance data products, including dashboards and ad-hoc reports, contributing to the company's data vision and strategy.

Responsibilities

• Independently analyze large and complex datasets from multiple internal and external sources (e.g., SQL databases, Snowflake, APIs), identifying actionable insights and trends.
• Collaborate with the Senior Product Manager and cross-functional development teams to design and develop scalable data products.
• Proactively suggest, track, and refine KPIs to monitor and improve business outcomes.
• Conduct in-depth statistical analyses using Python or R, including regression, trend analysis, and predictive modeling.
• Present clear, data-driven insights to both technical and non-technical stakeholders, influencing business decisions.
• Create comprehensive documentation and standards for data analysis, workflows, and product development.
• Support ad-hoc data analysis requests and deep dives, ensuring data-driven decision-making across departments.
• Play a key role in the ongoing evolution of data products and strategies, contributing to the company's overall data vision.

Requirements

• Expertise in SQL and Snowflake, with extensive experience in querying and transforming large datasets.
• Advanced skills in Python or R for data analysis, automation, and statistical modeling.
• Proven ability to work independently, managing the end-to-end data analysis process, from data extraction to insight delivery.
• Experience working with APIs and external data sources to enrich internal datasets.
• Strong ability to identify trends, propose KPIs, and generate actionable insights from complex data.
• Attention to detail and accuracy in data handling, ensuring data quality across all products.
• Excellent communication skills, able to translate technical findings into business insights for a variety of stakeholders.
• Proactive problem-solving mindset with the ability to manage multiple priorities in a fast-paced environment.
• Curiosity and initiative in exploring new data sources, tools, and technologies.

Nice-to-haves

• Experience in data visualization tools (Power BI, Tableau) for building dynamic, insightful dashboards.
• Experience in Consumer-Packaged Goods (CPG) or a related industry (preferred but not required).
• Strong understanding of data science techniques such as regression analysis, forecasting, and machine learning models.
• Familiarity with cloud-based data environments and working with data engineering teams to optimize workflows.
• Experience in automating data processes and creating scalable data pipelines for various use cases in partnership with engineering teams.
• Knowledge of data governance, data security, and best practices in data management.