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Manager of Data Analytics

Pay
Pay not listedSimilar roles state $95K–$144K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting

In this highly hands-on role, you will independently deliver high-quality, actionable insights that support the company’s strategic goals.

  • Design and deliver dashboards, automated reports, and deep-dive analyses

  • Serve as primary analytics partner for key business units

  • Translate business questions into analytical frameworks and recommendations

  • Work with Data Engineering on data model reliability and KPI documentation

  • Introduce new methods such as A/B testing and forecasting models

From the employer’s posting
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.
Lead the design and delivery of critical dashboards, automated reports, and deep-dive analyses
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
Collaborate closely with Data Engineering to ensure the reliability, accuracy, and timeliness of data models
introduce new analytical methodologies (like A/B testing frameworks or forecasting models)

What you’ll bring

All qualifications

Core experience

  • 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.
  • Strong proficiency in data visualization tools (Sigma, Looker, Tableau, PowerBI) and a solid foundation in Python or R for data manipulation.
  • 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.

Preferred experience

  • Master’s degree in a quantitative or business discipline.
  • 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).
Qualification wording
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.
Master’s degree in a quantitative or business discipline.
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).
Education & alternatives
- 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. Preferred Qualifications
Preferred Qualifications - 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.

Posting record

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Actively hiringFirst seen by us 9 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 20269 days ago
Recorded sightings
30
Last seen by us
Nov 4, 2026
Employer says posted
Oct 15, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$94.7K–$144K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,811 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 9

Similar jobs usually come down between day 5 and day 41.

From 10,536 similar postings that came down. Coming down is not always a hire.

Healthcare Services Group is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • BigQuery
  • dbt
  • Looker
  • Power BI
  • Redshift
  • Sigma
  • Snowflake
  • Tableau
Where the posting names them
Key Responsibilities - 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.
- 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.
- 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). Why HCSG
- 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.

Your next step

Complete your application on careers-hcsgcorp.icims.com. The employer’s form will show what is required.

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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Benefits Link

Click here for more benefits information

 

or copy this link: https://go-internal.hcsgcorp.com/l/1036773/2025-07-02/5xbpsq/1036773/17514637576MrQym5A/Employee_Benefits_for_Job_Descriptions__7_.pdf

 

*Not available in AR.

Responsibilities

Job Title: Manager of Data Analytics

Location: Corporate (Bensalem, PA)

Reports To: SVP of Information & Technology

Status: Exempt/ Full Time/ Hybrid (3 days onsite/ 2 remote)

 

 

About the Role

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. 

Key Responsibilities

  • 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.

 

Required Qualifications

  • 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.

 

Preferred Qualifications

  • 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).

 

Why HCSG

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.

  

 

HCSG is proud to be an equal opportunity employer committed to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, genetics, ethnicity, pregnancy status, gender identity, sexual orientation, marital status, political opinions, or affiliations, veteran status, or other legally protected classes. HCSG also complies with applicable state and local laws and federal law requirements that govern nondiscrimination in every location where we operate.

Source details

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Pay

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Location & working pattern

Bensalem, PA

Reports To: SVP of Information & Technology Status: Exempt/ Full Time/ Hybrid (3 days onsite/ 2 remote) About the Role
More source context
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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