Senior Data Analyst, Marlborough or Chelmsford, MA, Hybrid

Schedule

Mon - Fri: 8 AM - 5 PM (40 Hours)

What You’ll Do

 

Job Summary: 

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. 

 

Essential Functions: 

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  

• 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 You’ll Need

Education & Experience:  

• Required Education: Bachelor's degree in field relevant to role (or 4 additional years of relevant experience in lieu of a degree) 

• Required Experience: 4 – 6 years of relevant experience 

 

Qualifications & Skills:  

• Proficiency in analytical tools and languages (e.g., SQL, Python, R) and 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. 

What We Do

DCU is the largest credit union headquartered in New England – serving more than one million members in all 50 states. With over 1,700 team members, we strive to make DCU a great place to work with an excellent work-life balance, and a community that cares.

DCU is an equal opportunity employer, and we value diversity, inclusion, and equity at our company. We evaluate qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. 

If you’re applying for a job and need a reasonable accommodation for any part of the employment process, please send an email to