- Company Name
- Servus Credit Union
- Job Title
- Data & Insights Analyst
- Job Description
-
**Job Title:** Data & Insights Analyst
**Role Summary:** Leverage data from multiple sources to create, maintain, and enhance business intelligence deliverables that inform decision‑making across finance, operations, marketing, and member services. Utilize Power BI, SQL, and related technologies to design dashboards and visualizations, conduct data cleansing, modeling, and validation, and provide actionable insights aligned with regulatory and economic considerations.
**Expactations:**
- Deliver accurate and timely dashboards and reports that meet business stakeholder requirements.
- Maintain data integrity through rigorous validation, testing, and audit processes.
- Communicate insights clearly to cross‑functional teams and executive leadership.
- Proactively recommend and implement improvements to BI tools, data pipelines, and visualizations.
- Support compliance with regulatory standards and data governance best practices.
**Key Responsibilities:**
- Build and manage Power BI dashboards, reports, and visual analytics.
- Extract, transform, and clean data from diverse sources using SQL and ETL tools.
- Design data models, perform unit testing, and support Master Data Management initiatives.
- Collaborate in an agile environment to define reporting requirements and ensure alignment with strategy.
- Validate data, conduct regular audits of data pipelines, and troubleshoot data quality issues.
- Stay current on BI trends, evaluating and piloting emerging technologies for enhanced visualization and reporting.
**Required Skills:**
- 3+ years of hands‑on experience in data and insights development.
- Expertise in Power BI and SQL; familiarity with SSAS, SSRS, SSIS is an asset.
- Strong data modeling, ETL, and data validation skills.
- Ability to translate business requirements into technical solutions and actionable insights.
- Excellent communication, stakeholder engagement, and problem‑solving abilities.
**Required Education & Certifications:**
- Post‑secondary education in computer technology, information technology, or a related discipline from an accredited institution.
- Relevant certifications (e.g., Microsoft Certified: Power BI, SQL Server, or data analytics credentials) are a plus.