Data Insights Analyst

Ascend Federal Credit Union•Murfreesboro, TN

8d•Onsite

About The Position

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. #LI-Onsite

Requirements

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.

Responsibilities

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.
Read all internal publications, including HUB and Possibilities.
Perform other duties and special projects as assigned.