Data Insights Analyst I

Redstone Federal Credit Union; United States; Remote; USD 65,000 - 90,000; Full time

Job summary

Redstone Federal Credit Union is seeking a data analyst to collaborate with business owners, data scientists and data engineers to identify and prioritize data analysis projects, collect and clean data, and perform exploratory data analysis (EDA) to reveal member, product and process insights.

You will create user‑friendly reports and dashboards, train internal customers on interpretation, maintain data quality, and build domain expertise across marketing, underwriting, fraud and servicing

Qualifications

• 4‑Year Bachelor’s Degree in Business Analytics, Economics, Statistics, Finance, or closely related field (Required)
• 1 year of responsible business domain experience in data analytics (Required)
• Experience in consumer finance a plus (Required)
• Experience with data/analytical tools (Excel, SQL, SAS/SPSS, PowerBI, Tableau, Incorta) (Required)
• Experience with programming languages Python or R for data cleaning, exploratory/descriptive data analysis (Required)

Responsibilities

• Collaborates with business owners, data scientists, and data engineers to identify, prioritize and formulate relevant data analysis efforts.
• Collects, integrates, cleans and refines data and conducts exploratory data analysis (EDA).
• Communicates results and implications to team members and internal customers.
• Creates user‑friendly reports and dashboards and trains customers on their interpretation and use.
• Continuously builds domain expertise in various credit union subject areas, such as marketing, underwriting, fraud and servicing channels.

Education

Bachelor's Degree in Business Analytics, Economics, Statistics, Finance, or closely related field

Tools

Excel

SQL

SAS/SPSS

PowerBI

Tableau

Incorta

Job description

Redstone Federal Credit Union is seeking a data analyst to collaborate with business owners, data scientists and data engineers to identify and prioritize data analysis projects, collect and clean data, and perform exploratory data analysis (EDA) to reveal member, product and process insights.

You will create user‑friendly reports and dashboards, train internal customers on interpretation, maintain data quality, and build domain expertise across marketing, underwriting, fraud and servicing