The Data Analyst II participates as a technical resource in data analysis, data integration (e.g., inspecting, cleansing, validating, transforming, and modeling), and data management. Utilizes a thorough knowledge of data analysis, information systems data structures, and data management methodologies to align business insight with corporate goals and strategies. The Data Analyst II coordinates and assists with requirements gathering sessions internal customers and presents their findings to the business unit.
| • | Communicates with cross-functional teams to align data activities to key business goals and initiatives. |
|
| • | Generates custom analytics and performs data analysis using statistical techniques and analytics tools. Present findings to leadership. |
|
| • | Conducts data integration and database data management for use by various units and business processes. |
|
| • | Identifies and interprets trends or patterns in complex data. |
|
| • | Generates custom reports and performs data analysis using statistical techniques. |
|
| • | Creates data models for efficient systems usage and performance analysis. |
|
| • | Creates data flows diagrams and visualizations to communicate information clearly and effectively. |
|
| • | Writes database queries and stored procedures to streamline development needs of developers and project teams. |
|
| • | Acquires data from primary and secondary data sources and ensures accuracy, consistency, timeliness and integrity of data. |
|
| • | Works with business units to prioritize business and information needs and align analytics to business processes. |
|
| • | Creates data architecture models and reference architecture; collaborates with IT resources to validate and implement strategic data technologies. |
|
| • | Documents logical data structure (e.g., data mapping from source to target), field definitions, and any calculations and transformations along the data pipeline. |
Education
Min/Preferred |
Education Level |
Description |
|
4 Year / Bachelors Degree |
Bachelor’s degree or equivalent work experience in statistics, data analysis, data mining, computer science or information management. |
Experience
Minimum Years of Experience |
Preferred Years of Experience |
Comments |
|
2 |
4 |
2-4 years of experience in data analysis or digital analytics required. |
|
2 |
4 |
2-4 years of experience in data reporting required. |
Knowledge, Skills & Ability
• |
Must have a solid knowledge of Microsoft Excel and be comfortable working with spreadsheets and complex formulas. |
|
• |
Fluent in SQL and data manipulation within a multi-terabyte cloud environment |
|
• |
Experience in all aspects of data management involving large data sets (data gathering, profiling, validation, and analysis). |
|
• |
Experience with creating data flow diagrams (e.g., mapping documents) and requirements documents. |
|
• |
Ability to clearly communicate with managers and associates at all levels. |
|
• |
Experience with Tableau, MicroStrategy, PowerBI, or other established BI tools preferred. |
|
• |
Experience with and understands “Big Data” concepts and technologies such as Hadoop preferred. |
|
• |
Experience with cloud technologies such as AWS and Azure preferred. |
|
• |
Experience with financial systems preferred. |
|
• |
Python or R experience preferred. |
• Practice open Communication with all levels;
• Be Accountable by taking ownership of customer issues and responsibility for one’s actions;
• Foster Teamwork by cooperating and collaborating with other employees;
• Seek ways to make the workplace Fun for oneself & others;
• Conduct oneself with Integrity by being honest, trustworthy and ethical in all work activities and interactions;
• Work with a Service Orientation by having a genuine concern for the needs of one’s customers and by being friendly, professional and following through on commitments; and
• Demonstrate Humility in all interactions and remember to leave one’s ego at the door when one arrives to work.
Logix Federal Credit Union is an equal opportunity employer that does not discriminate in employment opportunities or practices on the basis of race, religion, color, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other status protected by law.