Financial Data Analyst II

Responsibilities

• Compile, organize, and analyze financial information in support of budgeting, forecasting, and decision-making processes.
• This may require financial data analysis, trend recognition, and research as well as the preparation of visualizations and presentations under supervision.
• Conduct data collection, normalization, validation, and reconciliation tasks to ensure accuracy and completeness of data.
• Aid in developing and implementing process improvements and automated solutions.
• Collaborate with cross-functional teams to gather data and insights for projects.
• Maintain and optimize financial databases, spreadsheets, and systems.
• Support senior analysts in conducting financial research and special projects.

Requirements

• Data Mining Techniques
• Data Visualization
• Programming for Data Analytics (e.g., Python or R)
• Business Statistics
• Databases Management (e.g. SQL)
• Financial Modeling Skills
• Knowledge of Excel, Tableau, Microsoft Power BI and various coding languages (VBA, R, Python, SAS)
• Essential to the success of this position.
• Prior experience developing and executing queries and/or reporting for data sets required.
• Ability to analyze data, draw conclusions to make recommendations and communicate effectively with others in an understandable manner.
• Identification and documentation of data quality issues, limitations and gaps that may exist.
• Demonstration of sound judgment in actions and decision-making.
• Organizing work effectively and following through on work activities and deliverables.
• Multi-tasking and working effectively with exacting deadlines.
• Demonstrating flexibility and evolving with an ever-changing environment.
• Attention to detail.

Qualifications

• Bachelor’s in Information Technology, Data Analytics, Accounting, Business, Finance or related Field
• Master’s in Information Technology, Data Analytics, Accounting, Business, Finance or related Field
• CPA Certification is also acceptable
• 2 – 5 Years Relevant Experience

Skills

• Data Mining Techniques
• Data Visualization
• Programming for Data Analytics (e.g., Python or R)
• Business Statistics
• Databases Management (e.g. SQL)
• Financial Modeling Skills
• Knowledge of Excel, Tableau, Microsoft Power BI and various coding languages (VBA, R, Python, SAS)

Benefits

SECU provides equal employment opportunity to all qualified persons regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or other classification protected by law.

Pay

TBD

Schedule

TBD

Company

State Employees' Credit Union

Disclaimer

State Employees' Credit Union reserves the right to fill this role at a higher/lower level based on business need.