Manager of Data Analytics

Healthcare Services Group • Bensalem, PA

7d • Hybrid

About The Position

The Manager of Data Analytics is a highly hands-on role focused on delivering actionable insights that support the company’s strategic goals. The position bridges technical data execution and business strategy, leading end-to-end analytics projects and partnering with business leaders to optimize KPIs, build robust reporting frameworks, and foster a data-driven culture across supported departments. The role is based at the corporate office in Bensalem, Pennsylvania, with a hybrid arrangement requiring at least three days onsite and two remote each week. It reports to the SVP of Information & Technology.

The role leads the design and delivery of dashboards, automated reports, and in-depth analyses; partners with business units to translate questions into analytical frameworks and recommendations; works with Data Engineering to support reliable, accurate, timely data models; and champions data governance and documentation. It also identifies ways to improve analytical workflows and reporting, and introduces analytical methods such as A/B testing frameworks and forecasting models.

HCSG offers a base salary and the possibility of an annual performance-based incentive, flexibility through a hybrid work arrangement, and opportunities for career advancement and internal promotion. This high-visibility role provides opportunities to collaborate with senior executives and make an impact across the organization. HCSG is an equal opportunity employer.

Requirements

• At least 5 years of experience in data analytics, business intelligence, or a related quantitative field.
• At least 1–3 years of experience managing or leading a team of analysts.
• Expert-level SQL skills.
• Strong proficiency in data visualization tools such as Sigma, Looker, Tableau, or Power BI.
• A solid foundation in Python or R for data manipulation.
• Strong business sense and the ability to connect data metrics to business outcomes.
• Experience with A/B testing, cohort analysis, and funnel optimization.
• Excellent communication skills, including the ability to explain complex data clearly and provide actionable steps to non-technical stakeholders.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Business, or a related quantitative field.

Nice To Haves

• Master’s degree in a quantitative or business discipline.
• Extensive experience with business intelligence and visualization tools such as Sigma, Power BI, Tableau, Qlik, or similar platforms.
• Experience working in an Agile/Scrum environment managing data requests and sprint cycles.
• Familiarity with data transformation and modeling tools such as dbt, and cloud data warehouses such as Snowflake, BigQuery, or Redshift.

Responsibilities

• Lead the design and delivery of critical dashboards, automated reports, and deep-dive analyses using SQL, Python or R, and business intelligence platforms.
• Partner with key business units, including Operations, Marketing, Product, and Sales, to translate business questions into analytical frameworks and present data-backed recommendations.
• Collaborate with Data Engineering to support the reliability, accuracy, and timeliness of data models.
• Champion data governance and maintain clear documentation for KPIs and business logic.
• Identify opportunities to streamline analytical workflows and improve existing reporting structures.
• Introduce analytical methodologies such as A/B testing frameworks and forecasting models.

Benefits

• Base salary and the possibility of an annual performance-based incentive.
• Hybrid work arrangement with flexibility.
• Career advancement and internal promotion opportunities.
• Assistance and options to support employees pursuing their desired career paths.

What This Job Offers

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