Senior Data Analyst

Interra Brand • Goshen, IN

16h

About The Position

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s data ‑ driven culture. You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning higher ‑ complexity initiatives and serving as an escalation point for technical issues. Direct Reports: None

Requirements

• 5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry.
• Demonstrated experience delivering actionable insights that influence business decisions.
• Experience working with large datasets and cross-functional stakeholders required.
• Must have and maintain a valid driver’s license.

Nice To Haves

• Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.
• Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.
• Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.
• Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.
• Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.
• Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.
• Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.
• Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.
• Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.
• Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.
• Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.
• Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.
• Ability to mentor analysts and foster a culture of data curiosity and continuous learning.
• Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.
• Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.
• Strong interpersonal skills—willingness to engage with team members across the organization.
• Interest in making a tangible impact at a mission-driven, community-focused financial institution.
• Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.
• Ability to influence decision-making through data-driven insights and thoughtful recommendations.
• Represent the credit union in a professional and positive way, both internally and externally at all times.

Responsibilities

• Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.
• Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management.
• Translate complex analysis into concise, actionable recommendations for senior leaders.
• Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI.
• Ensure reporting environments are accurate, scalable, and aligned with governance standards.
• Serve as the technical lead for defining reporting requirements and business logic.
• Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions.
• Identify data quality issues, troubleshoot discrepancies, and drive cross ‑ functional resolution.
• Serve as steward of “single source of truth” practices across the enterprise.
• Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage.
• Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture.
• Support advanced use cases for decentralized data users and cross ‑ department teams.
• Guide and mentor data analysts and data ‑ curious staff, helping elevate analytical literacy and best practices.
• Lead complex projects requiring collaboration across multiple departments.
• Continuously improve tools, processes, automation, and analytic methodologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior