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Data Analytics Manager Jobs (NOW HIRING)

Motorola

Marketing Data Analytics Manager

Chicago, IL

$120K - $135K/yr

We are looking for a strategic and highly technical Marketing Data Analytics Manager to join our marketing intelligence efforts. In this role, you will bridge the gap between technical data ...

Seadrill

Data Analytics Manager 90150

Houston, TX

This role owns the analytics platform roadmap and governs data and digital-innovation delivery executed largely through outsourced MSP vendor and external resources. The Manager partners closely with ...

PGIM

PGIM Data & Analytics Manager (Hybrid)

New York, NY · On-site

$120K - $150K/yr

Technology - Data Analytics & Management A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we're always looking for ways to improve financial ...

PGIM

PGIM Data & Analytics Manager (Hybrid)

Newark, NJ · On-site

$120K - $150K/yr

Technology - Data Analytics & Management A GLOBAL FIRM WITH A DIVERSE & INCLUSIVE CULTURE As the Global Asset Management business of Prudential, we're always looking for ways to improve financial ...

Oscar Health

Manager, Data Analytics

Atlanta, GA · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

Oscar Health

Manager, Data Analytics

New York, NY · Hybrid

$123K - $161K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our ...

AIG

Data Analytics, Manager, P&C Insurance

Jersey City, NJ · On-site

$120K - $150K/yr

Join us as a Data Analytics, Manager, Commercial Lines to play your part in that transformation. It's an opportunity to grow your skills and experience as a valued member of the team. Make Your Mark:

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Data Analytics Manager information

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$31K

$97.1K

$172K

How much do data analytics manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data analytics manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Analytics Manager II

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA • On-site

$105K - $135K/yr

Full-time

Posted 18 days ago

Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to design and instrument scalable data solutions, build robust pipelines, and uncover actionable patterns across the internal and external customer journey. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:

  • Lead the end-to-end analytics process, for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
  • Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
  • Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user customer engagement of relevant system.
  • Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
  • Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
  • Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
  • Champion responsible data use, ensuring adherence to internal policies and external regulations.

You need to have:

  • Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.
  • Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
  • Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates
  • Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
  • Deep understanding of customer journey analytics, KPI development, and data storytelling.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Excellent communication and stakeholder engagement skills.
  • Familiarity with data privacy standards and compliance best practices.

Special Requirements:

  • Candidates may be required to pass a test for this position.

Compensation Range:

$105,000.00-$135,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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