Senior Data Analyst
Job Description
Overview:
Primary Functions: A Senior Data Analyst takes on a leadership role and provides input into strategic decisions about reporting solutions, architecture, and technology. They take ownership of business lines and become an expert in that area. In short, they become a strategic partner with their business customers. They excel in query writing and report building and designing and implementing end-to-end reporting solutions. They can lead a team of developers and provide departmental direction, oversee multiple projects, and collaborate closely with stakeholders and senior management. They ensure best practices, maintain standards, and play a key role in shaping the organization’s business analysis function.
Duties and Responsibilities:
Creditable Experience in Lieu of Education: Minimum of 2 years of Data Warehouse Developer III or six years of Data Analytics and reporting. Completion of SnoPro Certification or Tableau Data Analyst Certification is preferred.
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.
In accordance with our Salary Administration policy, new hire base salaries generally fall within the minimum to midpoint of the listed range.
Reports to: Manager, Data Analytics
Functions Supervised: None
Primary Functions: A Senior Data Analyst takes on a leadership role and provides input into strategic decisions about reporting solutions, architecture, and technology. They take ownership of business lines and become an expert in that area. In short, they become a strategic partner with their business customers. They excel in query writing and report building and designing and implementing end-to-end reporting solutions. They can lead a team of developers and provide departmental direction, oversee multiple projects, and collaborate closely with stakeholders and senior management. They ensure best practices, maintain standards, and play a key role in shaping the organization’s business analysis function.
Duties and Responsibilities:
- Works independently with Business users and domain SMEs to understand requirements.
- Defines and maintains data models (dimensional models with conformed dimensions, entity relational models), and Data Vault models to satisfy analytics requirements.
- Defines and builds ETL processes to load and reconcile data in the warehouse.
- Creates processes for capturing and maintaining metadata.
- Assists in data mapping activities by specifying logic and business rules for transforming and preparing data.
- Provides assistance and support to the development 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.
- Maintains in-depth 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.
- Provides project management for assigned BI projects.
- Prepares and presents business proposals, recommendations, evaluations and selections of data preparation and integration tools, DQ and MDM tools and processes.
- Performs other duties as assigned.
Qualifications:
Education: Bachelor’s degree in Business, Computer Science, Management Information Systems or related field.
Creditable Experience in Lieu of Education: Minimum of 2 years of Data Warehouse Developer III or six years of Data Analytics and reporting. Completion of SnoPro Certification or Tableau Data Analyst Certification is preferred.
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 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.
Compensation:
Salary 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): $82,171 – $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
- Click here to view Global’s comprehensive Benefits Programs.
Equal Opportunity Employer
EWJP2
