Manager of Data Analytics
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Role details
Tech stack
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Job description
In this highly hands-on role, you will independently deliver high-quality, actionable insights that support the company’s strategic goals. Bridging the gap between technical data execution and business strategy, you will drive end-to-end analytics projects without the overhead of team management. You will partner closely with business leaders to optimize KPIs, architect and build robust reporting frameworks, and foster a data-driven culture across your supported departments., * Hands-On Analytics & Reporting: Lead the design and delivery of critical dashboards, automated reports, and deep-dive analyses using tools like SQL, Python/R, and BI platforms (Sigma, Looker, Tableau, PowerBI).
- Business Partnership: Act as the primary analytics partner for key business units (e.g., Operations, Marketing, Product, Sales). Translate their business questions into analytical frameworks and present clear, data-backed recommendations.
- Data Quality & Operations: Collaborate closely with Data Engineering to ensure the reliability, accuracy, and timeliness of data models. Champion data governance and maintain clear documentation for KPIs and business logic.
- Continuous Improvement: Identify opportunities to streamline analytical workflows, improve existing reporting structures, and introduce new analytical methodologies (like A/B testing frameworks or forecasting models) to the team.
Requirements
- Experience: 5+ years of experience in data analytics, business intelligence, or a related quantitative field, with at least 1-3 years of experience managing or leading a team of analysts.
- Technical Stack: Expert-level SQL skills. Strong proficiency in data visualization tools (Sigma, Looker, Tableau, PowerBI) and a solid foundation in Python or R for data manipulation.
- Analytical Acumen: Strong business sense with the ability to connect data metrics to business outcomes. Experience with A/B testing, cohort analysis, and funnel optimization.
- Communication: Excellent communication skills, with the ability to distill complex data into easy-to-understand stories and actionable steps for non-technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Business, or a related quantitative field., * Master’s degree in a quantitative or business discipline.
- Extensive experience utilizing business intelligence and visualization tools including 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 like dbt, as well as cloud data warehouses (Snowflake, BigQuery, Redshift).
About the company
At HCSG, we strive to provide you with a fulfilling career that rewards you for your hard work. Our teams play a crucial role in helping our customers create a better world, and we understand that your success is essential to ours. We offer comprehensive Total Rewards packages that comprise a base salary and the possibility of an annual performance-based incentive.
We’re committed to supporting our employees both inside and outside of work. We acknowledge that each day is different, and strive to create the flexibility needed to be successful in all areas of your life. As a result, this role offers a hybrid work arrangement, with a minimum of 3 days in our headquarters located in Bensalem, PA.
At HCSG, we strongly advocate for internal promotions and fostering opportunities to advance your career. This is a high visibility position that provides you the opportunity to engage and collaborate with senior executives and make an impact to our organization. We offer diverse options and assistance to aid you in pursuing your desired career path.
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