If you enjoy turning data into clear insights that help teams make smarter decisions, this Remote Data Analyst opportunity at Redstone Federal Credit Union could be a strong fit. The role offers the chance to work with business data, identify trends, build meaningful reports, and support data-driven decision-making—all while working remotely. With a salary range of $85,000–$99,500 per year, it is an attractive opportunity for professionals looking to grow their analytics career.
Job Overview
| Field | Details |
|---|---|
| Company Name | Redstone Federal Credit Union |
| Role | Data Analyst |
| Qualification | Bachelor’s degree or equivalent experience in Data Analytics, Business Analytics, Statistics, Computer Science, or a related field |
| Job Location | Remote – United States |
| Salary | $85,000–$99,500 per year |
| Work Type | Remote |
| Job Type | Full-Time |
| Job Level | Mid-Level |
| Industry | Financial Services / Credit Union |
Job Description
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.
Data Analyst I is distinguished from Data Analyst II by their applicable knowledge level and experience. Those in the later position would have the responsibility for performing more complex data analytics and designing experiments, with a sound understanding of Credit Union business operations, products and compliance requirements.
Job Description
Essential Duties and Responsibilities
- Conducts descriptive and exploratory analytics, understanding and communicating what a dataset can tell us about (for example) members, products, processes, competition, the economic environment, and marketing promotions.
- Creates reports, visualizations and dashboards to answer business questions. Trains business customers on their interpretation and use.
- Assesses data cleanliness and cleans data, ensuring accuracy, completeness, reliability, relevance and timeliness.
- Continuously builds domain expertise in various credit union subject areas, such as (for example) marketing, underwriting, fraud, and servicing channels.
- Completes all required training programs to maintain a current knowledge applicable to assigned duties and responsibilities, including regulatory compliance requirements.
Company Wide Expectations
- Maintains a professional image and demeanor at all times, consistently demonstrating Credit Union RISE Values and adhering to the Code of Ethics.
- Delivers friendly, caring service to internal and external members.
- Complies with all applicable State, Federal and NCUA rules and regulations and all Credit Union policies and procedures.
- Follow all physical and online security procedures and maintain strict confidentiality of all member information.
- Completes all required regulatory and compliance training and maintains required knowledge of Credit Union products and services.
- Works scheduled hours and maintains punctuality.
- Performs other related duties as assigned or requested.
EDUCATION/EXPERIENCE
To perform this job satisfactorily, an employee must be able to carry out each essential duty competently. The requirements listed below are representative of the education, experience, skills and abilities required. An equivalent combination of education and experience may be considered.
Education Requirements
4 Year / Bachelors Degree – Business Analytics, Economics, Statistics, Finance, or closely related field – Required
Experience Requirement
- 1 Year- Responsible business domain experience in data analytics – analytical experience in consumer finance preferred – Required
- Experience with various data/analytical tools (e.g., Excel, SQL, SAS/SPSS, PowerBI, Tableau, Incorta) – Required
- Experience with programming languages (e.g. Python or R) for data cleaning, exploratory/descriptive data analysis – Preferred
Selection Process
- Application Submission – Submit your online application and updated resume.
- Application Screening – The recruiting team reviews your qualifications and experience.
- Recruiter Interview – Discuss your background, skills, and interest in the position.
- Technical/Skills Assessment – Demonstrate your data analysis, reporting, and problem-solving capabilities, if required.
- Hiring Manager Interview – Meet with the hiring team to discuss the role and expectations.
- Final Interview – Complete any additional interviews required by the organization.
- Offer & Background Check – Selected candidates receive an offer, subject to applicable pre-employment requirements.
How to Apply
- Visit the official Redstone Federal Credit Union careers page.
- Search for the Data Analyst position.
- Review the job requirements and responsibilities carefully.
- Prepare your updated resume and relevant application information.
- Complete and submit the online application.
- Monitor your email for updates from the recruiting team.
- If shortlisted, complete the interview and assessment stages.
