Piper Companies
Piper Companies is seeking a
Manager of Data Analytics (Credit Cards)
to join a leading credit union based in
Mclean, VA . The
Manager of Data Analytics
will contribute to the daily analysis and reporting needs of the company through the development, maintenance, and distribution of reports.
This position will be onsite 4 days per week in Mclean, VA!
Responsibilities
Segmentation Analysis: Develop and refine data-driven customer segmentation based on behaviors, demographics, and product usage to support marketing campaigns
Identify high-value customer segments to optimize marketing strategies and deposit growth
Automation & Process Optimization: Design and implement automated workflows for data collection
Data Analysis & Reporting: Create and maintain dashboards to track deposit performance metrics by segment (e.g., balances, attrition, churn)
Collaboration & Stakeholder Engagement: Partner with product and marketing teams to design targeted campaigns
Compliance & Data Governance: Ensure all automation and segmentation processes comply with financial regulations and data privacy standards
Use Python and Snowflake to automate data processes
Qualifications
5+ years of experience in consumer lending products acquisition or existing portfolio data analytics, including but not limited to marketing analytics, statistical analysis, etc.
Experience in marketing data segmentation in a banking/financial services setting for Credit Card products
Hands‑on skills in SQL, Tableau, R, Python, and proficiency working with large datasets
Statistical analysis experience, including A/B testing, time series, and forecasting
Expertise in Data Warehouse and business intelligence–associated tools are preferred
Compensation
Salary Range: $120,000 – $140,000 depending on seniority
Comprehensive Benefits: PTO, Paid Holidays, Cigna Healthcare, Dental, Vision, 401k, Sick leave as required by law
This job opens for applications on 12/7/25. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords:#LI-MM1 #LI-HYBRID
Business Reporting Analyst, data insight, actionable insights, management consultation, daily decision making, data professionals, data acquisition, data transformation, data validation, data visualization, reporting development, report maintenance, report distribution, lending business, credit cards, consumer loans, education lending, Tableau, Business Object Reporting, Microsoft Excel, SQL programming, quantitative data, qualitative data, data-driven decisions, deposits campaign performance, competitor data analysis, industry trends, competitive posture, analytic findings, recommendation formulation, report visualizations, operational activity monitoring, database development, business intelligence solutions, SQL querying, reporting data validation, code documentation, economics, finance, statistics, engineering, quantitative field, large datasets, Hive QLs, BigSQL, Shellscripts, Hadoop, presenting findings, communication skills, statistical analysis, A/B testing, time series, forecasting, data warehouse, problem-solving, project management, leadership interaction, Microsoft Excel skills
#J-18808-Ljbffr
Manager of Data Analytics (Credit Cards)
to join a leading credit union based in
Mclean, VA . The
Manager of Data Analytics
will contribute to the daily analysis and reporting needs of the company through the development, maintenance, and distribution of reports.
This position will be onsite 4 days per week in Mclean, VA!
Responsibilities
Segmentation Analysis: Develop and refine data-driven customer segmentation based on behaviors, demographics, and product usage to support marketing campaigns
Identify high-value customer segments to optimize marketing strategies and deposit growth
Automation & Process Optimization: Design and implement automated workflows for data collection
Data Analysis & Reporting: Create and maintain dashboards to track deposit performance metrics by segment (e.g., balances, attrition, churn)
Collaboration & Stakeholder Engagement: Partner with product and marketing teams to design targeted campaigns
Compliance & Data Governance: Ensure all automation and segmentation processes comply with financial regulations and data privacy standards
Use Python and Snowflake to automate data processes
Qualifications
5+ years of experience in consumer lending products acquisition or existing portfolio data analytics, including but not limited to marketing analytics, statistical analysis, etc.
Experience in marketing data segmentation in a banking/financial services setting for Credit Card products
Hands‑on skills in SQL, Tableau, R, Python, and proficiency working with large datasets
Statistical analysis experience, including A/B testing, time series, and forecasting
Expertise in Data Warehouse and business intelligence–associated tools are preferred
Compensation
Salary Range: $120,000 – $140,000 depending on seniority
Comprehensive Benefits: PTO, Paid Holidays, Cigna Healthcare, Dental, Vision, 401k, Sick leave as required by law
This job opens for applications on 12/7/25. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords:#LI-MM1 #LI-HYBRID
Business Reporting Analyst, data insight, actionable insights, management consultation, daily decision making, data professionals, data acquisition, data transformation, data validation, data visualization, reporting development, report maintenance, report distribution, lending business, credit cards, consumer loans, education lending, Tableau, Business Object Reporting, Microsoft Excel, SQL programming, quantitative data, qualitative data, data-driven decisions, deposits campaign performance, competitor data analysis, industry trends, competitive posture, analytic findings, recommendation formulation, report visualizations, operational activity monitoring, database development, business intelligence solutions, SQL querying, reporting data validation, code documentation, economics, finance, statistics, engineering, quantitative field, large datasets, Hive QLs, BigSQL, Shellscripts, Hadoop, presenting findings, communication skills, statistical analysis, A/B testing, time series, forecasting, data warehouse, problem-solving, project management, leadership interaction, Microsoft Excel skills
#J-18808-Ljbffr