Data Insights Analyst
The Data Insights Analyst is responsible for transforming raw data into meaningful insights that inform strategic and operational decisions across Ascend. This role supports enterprise-wide initiatives by analyzing trends, identifying opportunities, and delivering actionable intelligence to business leaders. The analyst plays a key role in advancing data literacy, maintaining data documentation, and enabling a culture of evidence-based decision-making. They play a key role in maintaining Ascend's data governance program partnering closely with IT and business units to enhance data quality, integration, and analytics capabilities.
- Provide data, research, analytics, and insights for strategic initiatives across the credit union.
- Maintain data dictionaries and help the BI Analyst maintain a centralized index of reports and dashboards.
- Conduct scenario analysis and forecasting for investment and resource allocation.
- Analyze member behavior for personalization and engagement.
- Support marketing, product and operations with optimization and performance analysis.
- Conduct quantitative and qualitative research to improve member satisfaction and loyalty.
- Present insights and recommendations to leaders and stakeholders across the credit union.
- Use predictive and prescriptive analytics for forecasting and decision-making.
- Establish data hygiene and standardization practices.
- Integrate third-party data and market intelligence.
- Leverage data marts and BI tools for self-service solutions.
- Provide analytics resources and solutions to help manage risk and regulatory changes.
- Foster a data-driven culture.
- Explore emerging technologies and tools, evaluate and select next-generation analytical and AI tools.
- Promote cross-functional collaboration to maximize data value.
- Education and Knowledge, Skills and Abilities
- Bachelor's Degree Data Science, Business Analytics, Statistics, or a related field required
- 3-5 years experience in data analysis, business intelligence, or analytics-focused role, preferably within banking, credit unions, or regulated industries required
- Proven experience with machine learning or advanced analytics tools required
- Proficiency in SQL, Power BI, and Excel.
- Familiarity with data modeling, ETL processes, and cloud data platforms (e.g., Snowflake, AWS).
- Understanding of data privacy and compliance frameworks (e.g., GLBA, AI governance).
- Strong analytical and critical thinking skills.
- Excellent communication and storytelling abilities.
- Ability to work independently and collaboratively in a fast-paced environment.
- Familiarity with data cataloging and metadata management platforms.
- Demonstrated ability to connect insights to business outcomes.
- Valid, unrestricted driver’s license required.
- Regular and reliable attendance is required.