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Manager Of Analytics Jobs (NOW HIRING)

Post Acute Analytics

Manager, Analytics

Hire, develop, and grow the careers of analytics team members - thoughtfully manage and grow a team to achieve these objectives above as the company grows 1 What you'll need : * 6+ years of ...

DPDHL

Business Analytics Manager

Westerville, OH · On-site

$85K - $150K/yr

The Business Analytics Manager role has a national salary range of $85,000- $150,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock ...

DHL

Business Analytics Manager

Lockbourne, OH · On-site

$85K - $150K/yr

Are you ready to lead the future of data-driven decision-making in the dynamic world of supply chain? At DHL Supply Chain, we're looking for a Business Analytics Manager who can elevate our analytics ...

DHL

Business Analytics Manager

Tolleson, AZ · On-site

$85K - $150K/yr

The Business Analytics Manager role has a national salary range of $85,000- $150,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock ...

mcts

MANAGER OF IT ANALYTICS

Milwaukee, WI

$77K - $97K/yr

Job Title: Manager of IT Analytics Department: Information Technology FLSA Status: Exempt, Non-Represented Annual Salary Range: $77,600 - $97,033 JOB SUMMARY: Provide direct management and oversight ...

mcts

MANAGER OF IT ANALYTICS

Milwaukee, WI

$77K - $97K/yr

Job Title: Manager of IT Analytics Department: Information Technology FLSA Status: Exempt, Non-Represented Annual Salary Range: $77,600 - $97,033 JOB SUMMARY: Provide direct management and oversight ...

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All JobsManager Of Analytics Jobs

Manager Of Analytics information

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$64.5K

$125.3K

$179K

How much do manager of analytics jobs pay per year?

As of Jun 29, 2026, the average yearly pay for manager of analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What does a Manager of Analytics do?

A Manager of Analytics leads teams responsible for collecting, analyzing, and interpreting data to support business decisions. They oversee the development of data-driven strategies, ensure data accuracy, and communicate insights to stakeholders. This role often involves managing analytics projects, mentoring team members, and collaborating with other departments to align analytics initiatives with organizational goals.

How does a Manager of Analytics typically collaborate with other departments within an organization?

A Manager of Analytics regularly partners with teams such as marketing, finance, operations, and product development to identify data needs, provide actionable insights, and support strategic decision-making. They often facilitate cross-functional meetings to understand business goals, translate analytical findings into business terms, and ensure data-driven solutions are effectively implemented. This role requires strong communication and relationship-building skills, as successful collaboration is key to driving organizational impact and ensuring analytics initiatives align with broader company objectives.

What is the difference between Manager Of Analytics vs Data Analyst?

AspectManager Of AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Analytics, Data Science, or related field; often leadership experienceBachelor's in Statistics, Data Science, or related field; entry to mid-level experience
Work EnvironmentOversees analytics teams, strategic planning, collaborates with managementPerforms data analysis, reports, and visualization tasks under supervision
Employer & Industry UsageUsed in corporate, tech, finance sectors for leadership rolesCommon across industries for data-driven decision making

The main difference between a Manager Of Analytics and a Data Analyst lies in their responsibilities and seniority. Managers oversee analytics teams, develop strategies, and work closely with leadership, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making at a more operational level.

What are the key skills and qualifications needed to thrive as a Manager of Analytics, and why are they important?

To thrive as a Manager of Analytics, you need strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms, as well as relevant certifications, is typically required. Excellent leadership, communication, and problem-solving skills help drive team performance and translate data insights into actionable business strategies. These skills are crucial for effectively leading analytics teams, making data-driven decisions, and delivering value to the organization.
What cities are hiring for Manager Of Analytics jobs? Cities with the most Manager Of Analytics job openings:
What are the most commonly searched types of Of Analytics jobs? The most popular types of Of Analytics jobs are:
Who are the top companies hiring for Manager Of Analytics jobs? The top employers for Manager Of Analytics jobs are:
What states have the most Manager Of Analytics jobs? States with the most job openings for Manager Of Analytics jobs include:
Manager Of Analytics jobs near you
Infographic showing various Manager Of Analytics job openings in the United States as of June 2026, with employment types broken down into 47% Full Time, 51% Part Time, 1% Temporary, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.
Director of Analytics Engineering

Director of Analytics Engineering

Ennoble Care

Marlton, NJ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Ennoble Care rating

4.2

Company rating: 4.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Us

Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, and Georgia. Ennoble Care's clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, "To Care is an Honor." Join Ennoble Care today!

ABOUT THE ROLE

We're hiring a hands-on technical leader to strengthen and expand Ennoble's ACO analytics data infrastructure. You'll own the design of a unified data platform integrating our Medicare claims feeds (DPC, CCLF, BCDA), CMS alignment and benchmark files, in-house clinical systems, and external vendor data into a single, accurate, queryable layer. We expect this person to bring engineering rigor and AI-augmented practices to our team.

This candidate will be our internal thought-leader on AI-augmented data engineering: LLM coding assistants, automated QA, autonomous data-quality agents, intelligent cross-source reconciliation, MCP servers as needed, and conversational query layers. This candidate will lead our large-scale analytics platform and web app rollout as the team's analytical foundation. Individual contributor today, with a clear path to building and leading an engineering team as scope grows.

WHAT YOU'LL DO

  • Strengthen and expand our analytics data warehouse infrastructure
  • Lead AI-augmented engineering adoption: codify patterns for LLM coding assistants (e.g., Claude Code under BAA), agentic QA, autonomous data-quality monitoring agents, and conversational query layers
  • Own data accuracy and reconciliation — build validation, monitoring, and audit infrastructure that catches issues before they reach reporting or CMS submissions — extending our ~158-object audit and observability framework (ADF run logging, MBI crosswalk QA, DPC parity harness, transactional refresh with auto-rollback)
  • Partner with analytics leads (MSSP, ACO REACH/LEAD, GUIDE, Quality, Dashboards) to ensure infrastructure meets internal and external reporting requirements and advanced downstream modeling needs
  • Lead large-scale analytics platform and web app implementation, integration, and maintenance
  • Collaborate closely with IT and Engineering on tooling standards, organizational approvals, and security requirements (BAA scope, Microsoft Entra identity scoping, PHI/PII suppression, Azure SQL firewall)

WHAT WE'RE LOOKING FOR

  • Data engineering depth: Strong hands-on experience with cloud-based analytics infrastructure and production data pipelines
  • Platform: Microsoft Azure — incl. Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks experience a strong plus
  • SQL & Python: Expert T-SQL; Python proficient for ingestion utilities, internal web apps, and AI-agent tooling
  • Data modeling: Experience designing unified/canonical models across heterogeneous source systems
  • Data integrity: Demonstrated validation, reconciliation, and audit framework design — especially where discrepancies have material downstream impact
  • Healthcare data: Familiarity with Medicare claims (CCLF, DPC, BCDA or similar) and/or risk-based contracting strongly preferred
  • AI fluency: Track record using LLM-based tools (e.g., Claude Code, Copilot) to accelerate data engineering; comfortable as a visible thought-leader on AI practices for a small team
  • DevOps: Experience integrating pipelines with CI/CD, version control, branching strategies (dev → test → prod), DACPAC or equivalent schema-migration tooling, and managed-identity-based deployment
  • Communication: Able to translate infrastructure decisions and engineering workflows into business impact for non-technical stakeholders

CURRENT SCALE

  • ~40,000 attributed patients across MSSP, ACO REACH, GUIDE, and LEAD
    • Various alignment, benchmark, and claim files spanning CMS/CMMI programs across multiple ACOs
  • Three distinct Medicare claim feeds (DPC, CCLF, BCDA), each with its unique schema, inconsistencies, and challenges
  • Internal clinical/operational data systems and structures
  • External vendor data feeds, with planned data source expansion as Ennoble Care's ACO portfolio grows
  • Existing data engineering foundation to continue building upon

WHAT WE OFFER

  • Foundational technical leadership at one of the nation's fastest-growing home-based care providers
  • A working analytics stack to build on — production pipelines, active models, and a team already shipping
  • Mission-driven culture focused on improving outcomes for homebound Medicare patients

Full-time employees qualify for the following benefits:

  • Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
  • Paid Time Off
  • Paid Office Holidays

All employees qualify for these benefits:

  • Paid Sick Time
  • 401(k) with up to 3% company match
  • Referral Program
  • Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended.

Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.