What are the responsibilities and job description for the Sr. Manager of Data Analytics (Marketing Campaign) position at Piper Companies?
Piper Companies is seeking a Sr. Manager of Data Analytics (Marketing Campaign) to join a leading credit union based in Mclean, VA. The Sr. 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 of the Sr. Manager of Data Analytics include:
Keywords:
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
Responsibilities of the Sr. Manager of Data Analytics include:
- 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
- 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
- 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
- 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
Keywords:
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
Salary : $120,000 - $140,000