Senior Business Data Analyst, Allentown

Join First Commonwealth Federal Credit Union as a Senior Business Data Analyst and play a pivotal role in shaping data-driven decision-making across the organization. In this role you will be accountable for translating data into actionable, forward-looking insights that enhance member engagement, drive revenue growth, and identify emerging risks across the credit union. You will serve as a key partner to business lines by applying advanced analytics, predictive modeling, and AI-enabled techniques to understand member behavior and inform strategic and operational decision-making.

Who we are:

We are a consumer-friendly alternative to banking. We offer all the services you're accustomed to, but at better rates and lower fees. That's because we're structured differently than banks. Banks are in business to earn profits for their stockholder investors. Our credit union exists to improve our member's financial well-being. We don't have stockholders. Instead, we're cooperatively owned by our members (account holders). We return our profits to members in the form of higher dividends on savings, lower rates on loans and lower fees.

Our Mission is empowering the pursuit of financial happiness and our vision is to become the most beloved financial partner in our communities.

We live by our values of Honesty• Innovation • Generosity • Humility • Excellence • Respect #beYOU with us! Our Members come from all walks of life and so do our Employees. First Commonwealth encourages Applicants from diverse backgrounds to apply and is proud to be an equal opportunity employer. All qualified Candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, veteran status or any other characteristic protected by applicable law.

What you will do:

You will drive the member insights function, integrating data across systems to develop a comprehensive view of member relationships, identifying behavioral trends, and delivering insights that guide business strategy. This includes ownership of voice-of-member analytics, relationship health indicators, and predictive insights, while partnering closely with business and technology teams to ensure insights are actionable and aligned to organizational priorities.You will also incorporate financial analytics and reporting support, providing insight into financial performance, product profitability, and revenue outcomes to enable data-driven decisions aligned to overall organizational performance by:

Member Insights&Voice of Member Analytics• Serving as the primary analytics resource for member insights, including interpretation of voice-of member programs such as NPS, surveys, complaints, and feedback channel • Analyzing qualitative and quantitative data to identify drivers of member satisfaction, engagement, and attrition• Defining and monitoring member relationship health indicators including engagement levels, product usage, and transaction activity • Identifying early indicators of declining engagement and recommending actions. • Conducting behavioral segmentation and cohort analysis.

Financial&Business Analysis• Applying financial acumen to evaluate member profitability and product performance. • Developing financial models to assess business strategies. • Connecting member analytics with financial outcomes. • Assisting with development of financial reporting.

Predictive Analytics&AI-Driven Insights• Developing predictive models to support retention, growth, and risk mitigation. • Utilizing statistical techniques and AI capabilities to forecast behavior and generate insights. • Translating model outputs into actionable recommendations. • Continuously refining models based on performance and business needs.

Data Integration&Enterprise Information View• Supporting integration of data from multiple sources including core systems, CRM, transaction data, and feedback channels. • Building dashboards/reports/visualizations; writing summaries/presentations; monitoring model performance; documenting assumptions/data definitions/model logic.• Partnering with BI and business units to ensure data quality and accessibility. • Identifying data gaps and recommending improvements.

Business Partnership&Insight Activation• Partnering with business units to define analytical needs and deliver insights. • Providing recommendations supporting revenue growth, retention, risk awareness, and efficiency. • Ensuring insights are shared with operational, product, and service teams. • Supporting decision-making through reports and presentations.

Continuous Improvement&Analytics Excellence• Identifying opportunities to improve analytics processes and tools. • Contributing to analytics best practices. • Maintaining documentation of methodologies. • Staying current on analytics and AI trends

To succeed in this role, you will have:• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field required, with 5-8 years of analytics experience, within financial services. • Strong expertise in predictive analytics, financial modeling, and analytical methods, with anunderstanding of credit union operations and data-driven modeling approaches.• Solid knowledge of data management principles, data quality concepts, data governance, AI concepts within analytics, and industry best practices. • Proficiency in SQL and at least one programming language (e.g., Python or R), along with experience in data visualization and business intelligence tools.• Excellent communication skills with the ability to convey complex insights clearly and develop defensible, data-driven recommendations. • Strong written and verbal communication skills, with the ability to present complex findings clearly; complex problem-solving abilities with ability to develop defensible data driven recommendations; high attention to detail, and the capacity to manage multiple priorities independently while collaborating effectively with stakeholders across all levels of the organization.

Preference will be given to those who have:• Master's degree in a quantitative discipline. • Experience with predictive modeling or advanced analytics in a regulated or data sensitive environment. • Experience with AI/ML, CRM and behavioral data.