[Remote] Data Analyst I
Note: The job is a remote job and is open to candidates in USA. Redstone Federal Credit Union is seeking a Data Analyst I to collaborate with business owners, data scientists, and data engineers. The role involves conducting data analysis, creating reports and dashboards, and ensuring data integrity while building expertise in credit union operations.
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
- 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
Skills
- 4 Year / Bachelors Degree - Business Analytics, Economics, Statistics, Finance, or closely related field
- 1 Year- Responsible business domain experience in data analytics - analytical experience in consumer finance preferred
- Experience with various data/analytical tools (e.g., Excel, SQL, SAS/SPSS, PowerBI, Tableau, Incorta)
- Experience with programming languages (e.g. Python or R) for data cleaning, exploratory/descriptive data analysis
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