Senior Data Analyst, Marlborough or Chelmsford, MA, Hybrid

DCU • Marlborough, MA

1d • Hybrid

About The Position

This role contributes advanced analytical expertise to solve a wide range of business challenges across the organization. This role independently conducts data exploration, modeling, and visualization to uncover insights, improve decision-making, and enhance the efficiency of data processes. This position works on moderately complex assignments, selecting the appropriate methods and tools while balancing technical rigor with business practicality.

Requirements

• Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree)
• 4 – 6 years of relevant experience
• Proficiency in analytical tools and languages (e.g., SQL, Python, R)
• Familiarity with data visualization platforms (e.g., Power BI, Tableau).
• Strong understanding of statistical concepts, data modeling techniques, and data quality best practices.
• Ability to independently structure analysis, evaluate approaches, and deliver accurate results within defined timelines.
• Effective communication skills, including the ability to translate technical findings into clear, actionable insights for non-technical audiences.
• Demonstrated ability to work with moderate complexity and adapt analytical methods to new or unfamiliar problems.

Responsibilities

• Translates business questions into analytical approaches, determining the data, methods, and tools needed to generate meaningful insights.
• Performs data acquisition, preparation, cleansing, and validation to ensure accuracy and reliability of analytics outputs.
• Conducts exploratory analyses, statistical evaluations, and data modeling to identify trends, patterns, risks, and opportunities.
• Builds and maintains dashboards, reports, and visualizations that clearly communicate findings to diverse stakeholders.
• Recommends improvements to data processes, contributing to increased automation, efficiency, and data quality.
• Supports larger Data Science or advanced analytics initiatives by preparing datasets, running initial analyses, or developing foundational models.
• Interprets and presents analytical results, highlighting impacts, drivers, and actionable recommendations.
• Collaborates with cross-functional partners to refine requirements, validate assumptions, and ensure solutions meet business needs.
• Applies sound judgment to manage priorities, working through technical or analytical issues with minimal direction.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior