Analytics Engineer I

Hudson River Community Credit UnionCorinth, NY
Hybrid

About The Position

Hudson River Community Federal Credit Union’s mission is to make our members’ lives better. Analytics Engineer I HRCCU is seeking a detail-oriented and analytical Analytics Engineer to join our growing data and analytics team. This role is responsible for building and maintaining reliable data models, transforming raw data into usable datasets, and supporting business intelligence reporting across the credit union. This is an excellent opportunity for someone early in their analytics engineering career who is passionate about data integrity, automation, and supporting data-driven decision-making in a financial services environment.

Requirements

  • Bachelor's degree in computer science, Information Technology or related field.
  • Experience in Python, Oracle SQL/MS SQL Server, Power BI, PowerShell/Windows Server, GIT, and AI Tools
  • Strong analytical and problem-solving skills.
  • High attention to detail and commitment to data accuracy.
  • Ability to communicate technical information clearly.
  • Strong organizational and time management skills.

Nice To Haves

  • Masters preferred.

Responsibilities

  • Collaborate with department managers to develop and maintain SQL data models supporting Power BI dashboards and reporting.
  • Design, develop, and maintain Power BI dashboards and reports connected to the data stores.
  • Create and schedule static reports in various formats for consistent business use.
  • Make recommendations on the most effective ways to visualize data and communicate through charts, tables, and dashboards.
  • Develop automation, applications, and infrastructure projects that create efficiencies across departments.
  • Ensure data integrity, accuracy, and version control using GitHub.
  • Set up and maintain CI/CD pipelines via GitHub Actions for all code.
  • Assist in the ongoing development of technical best practices for data movement, data quality, automation, and system integration between data warehouse and Azure environments.
  • Continuously improve functionality and efficiency through data integrity and modern engineering practices.

Benefits

  • Medical, Dental, Vision, FSA & HSA options.
  • Life insurance, short term, & long-term disability benefits.
  • 401K with matching contribution up to 10%.
  • Generous paid time off, including birthday and additional 12 observed holidays.
  • Gym reimbursement and wellness program.
  • Internal and external training, including certification and tuition reimbursement.
  • Community Volunteer initiatives.
  • Career growth & advancement opportunities.
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