OverviewReports to: Manager, Data AnalyticsFunctions Supervised: NonePrimary Functions: As a Data Analyst I, individuals possess a basic understanding of data analytical concepts, are familiar with SQL syntax and can utilize out-of-the-box SSRS and Tableau features. They can write straightforward queries, perform simple data shaping, and provide insight from analysis. With this foundation, they create simple reports, lists, and extracts and work with the business on end user acceptance. Reporting requirements are usually well defined for the Data Analyst I, with development following pre-determined specifications.Duties and Responsibilities: * Works with Business users and domain SMEs to understand requirements.
Focuses on processing and preparing data to uncover patterns using tools such as Snowflake, Tableau, and Python for data manipulation and analysis
Assists Data Warehouse Operations in data mapping activities by specifying logic and business rules for transforming and preparing data.
Supports the development, automation and publication of reports and dashboards.
Assists with Data Quality (DQ) and Master Data Management (MDM) initiatives.
Assists in developing governance processes around data management and the warehouse development.
Develops knowledge of credit union operations and knowledge of current industry trends as well as current methods and technologies that relate to Data Warehousing, data preparation, data presentation practices and operations.
Performs other duties as assigned.
QualificationsEducation: Bachelor's degree in Business, Computer Science, Management Information Systems or related field.Creditable Experience in Lieu of Education: Minimum of one year of Data Analytics and reporting.Experience/Skills: Strong oral, written, administrative, organizational, and inter-personal skills. The ability to analyze problems, develop alternatives and recommendations. Proficiency in SQL and self-service analytics tools such as Excel, Power Pivot, YellowFin, Snowflake, PowerBI, Tableau etc. Familiarity with Visual Studio, Master Data Management, data quality tools, data integration tools, R, and Python is desired. Financial Services experience and familiarity of big data concepts is a plus.Tenure: Assignment to the Data Analyst I category 10, Data Analyst II category 09, Data Analyst III category 08, or Senior Data Analyst category 07 will be determined by the candidate's education or experience. Advancement requires management recommendation and will be based on the candidate's certifications and/or performance.CompensationSalary Pay Range:
Data Analyst I (Category 10): $57,484 - $90,825 annually
Data Analyst II (Category 09): $63,233 - $101,804 annually
Data Analyst III (Category 08): $72,717 - $119,983 annually
Senior Data Analyst (Category 07): $80,000 - $137,981 annually
Starting base salary will be determined based on candidate experience, qualifications, education, and local or state wage requirements, if applicable and will fall within the range provided above.In accordance with our Salary Administration policy, new hire base salaries generally fall within the minimum to midpoint of the listed range.Benefits
Short-term and long-term incentives
Comprehensive medical, dental and vision insurance plan that has HSA and FSA options
401(k) plan with a 5% match
Employee Assistance Program (EAP)
Life and disability coverage
Voluntary cash benefits for accident, hospitalization and critical illness
Tuition Reimbursement
Generous leave programs to include Paid Time Off accrual, Paid Sick Leave, Paid Holidays
