Data Analyst - Finance Transformation

This position is offered as a 6+ month assignment with an opportunity for extension

This position is not open to relocation or applications from 3rd party vendors

The Crosby Company of New Hampshire (CCNH) technology team is a service provider to CCNH and its business partners. Team members have a broad understanding of subject areas throughout the business, maintain strong relationships with key business constituents, and possess the ability to flex between a strategic and tactical mindset.

The Finance Transformation Data Analyst will work with our business partners and other technology team members to deliver a key data initiative in 2026 whose primary goal is to implement a single, scalable, and flexible data lake that consolidates data from multiple systems – structured and unstructured – into one centralized platform. The expected outcomes and benefits from this work include:

• Enhances Decision Making – Consolidates data sources and provides accurate insights to support strategic and operational decision‑making.
• Improves Efficiency Through Automation – Reduces manual effort by automating data extraction, transformation, and reporting processes, cutting turnaround times significantly.
• Establishes Governance and Compliance – Implements robust data governance frameworks to ensure security, privacy, and regulatory compliance across all data assets.
• Improves Data Quality – Establishes and implements a data quality framework to ensure that all enterprise data is accurate, complete, consistent, timely, and reliable.
• Reduces Redundancy and Stale Data – Eliminates duplicate efforts and outdated data by centralizing storage and enabling automated refresh cycles.
• Supports Future Modernization – Prepares the environment for ongoing modernization initiatives.

• Support efforts to deliver a secure MS Fabric environment to host highly confidential data.
• Support efforts to provide financial data to data lake needed by the organization – including data feeds in and out, structured / unstructured, and historical data.
• Support data governance framework implementation for financial data.
• Develop key prioritized reports via Power
  
  BI.
• Design the necessary data models required to support reporting needs of the organization.
• Enable self‑service report offering via Power
  
  BI.
• Participate in development and execution of Power BI Center of Excellence Pilot.
• Support external audit review of data lake implementation (if needed).
• Create requirements documentation to support the development of key prioritized reports.
• Produce detailed test plans, test strategies, test scripts, test conditions in partnership with business, vendor, and implementation partners.

• You have a bachelor’s degree and 5+ years of related experience in data analysis, or a master’s degree and 3+ years of relevant experience.
• You have significant expertise in data related projects in the areas of requirements gathering, analysis, interpretation and translating them to data solutions.
• You have 5 years’ experience performing data analysis on modern data platforms such as Snowflake and MS Fabric.
• You have dimensional data modeling design and implementation experience.
• You are familiar with applying data governance and management practices when building data solutions.
• You have strong data analysis and data profiling skills with a solid experience using SQL/Python. You are experienced independently wrangling insights from datasets to obtain valuable insights.
• You have experience working with cloud data warehouse platforms including awareness of its data lifecycle, sharing and access architecture.
• You have experience delivering complex Power BI reports. Certification an advantage.
• You understand and communicate sophisticated concepts effectively to a variety of audiences, both technical and non‑technical. You make the complicated simple.
• You are fluent in agile work methodologies such as scrum and its application. Familiarity with Jira is a benefit.
• You have experience navigating integrated enterprise data and working across multi‑functional teams. You can identify alternative approaches and make recommendations on the benefits and…