Senior Data Solutions Analyst

Senior Data Solutions Analyst

Job Locations US-Remote | US-OH-Columbus | US-WA-Seattle | US-MA-Boston | US-NH-Portsmouth

ID 2026-75305

Position Type Full-Time

Job Grade 15

Department 001S-13604 Data Sci-Infrastructure

Market US Retail Markets

Referral Bonus Amount 1500

Minimum Salary USD $83,000.00/Yr.

Maximum Salary USD $197,000.00/Yr.

Typical Starting Salary $110,000-$150,000

Recruiter Jacqueline Stone

Internal Application Deadline 4/10/26

Description

If you are passionate about data engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you.

Modeling Data Solutions is seeking experienced data analytics engineers to join its Personal Lines Property and Small Commercial Package teams in our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. You will collaborate with multiple stakeholders including data scientists and product analysts to gather requirements, design, and implement robust data solutions.

• *This role may have in-office requirements depending on candidate location.**

Responsibilities:

• Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.
• Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
• Implement data quality checks and governance best practices to ensure data accuracy and reliability.
• Utilize python, Spark, and SQL queries to extract, transform, and analyze data from various sources.
• Work closely with cross-functional teams to understand their analytical needs and provide tailored solutions that meet business objectives.
• Stay current with industry trends, emerging tools, and best practices in data analytics and engineering to continuously enhance analytical capabilities.

Qualifications

• Strong written and oral communication skills required
• Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred
• Master`s in same or related disciplines strongly preferred
• 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake.

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