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Data Analytics Manager Jobs (NOW HIRING)

The Data Analytics, Manager, Commercial Lines role will be responsible for working directly with leaders within Commercial Lines to ensure an understanding of data and analytics needs and priorities ...

Manager, Data Analytics

Tempe, AZ ยท On-site

$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 ...

Manager, Data Analytics

Dallas, TX ยท On-site

$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 ...

Manager, Data Analytics

Atlanta, GA ยท 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 ...

S. enterprise data analytics framework, BI reporting, AI-enabled analytics, data governance, and knowledge governance. * Support management decision-making by delivering standardized, intelligent ...

Manager, Data Analytics

Dallas, TX ยท 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 ...

Business Analytics Manager

Tolleson, AZ ยท 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 ...

We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts ...

We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts ...

Business Analytics Manager

Westerville, OH ยท 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 ...

Business Analytics Manager

Northlake, TX ยท 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 ...

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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 26, 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.
More about Data Analytics Manager jobs
What cities are hiring for Data Analytics Manager jobs? Cities with the most Data Analytics Manager job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Manager jobs? States with the most job openings for Data Analytics Manager jobs include:
Infographic showing various Data Analytics Manager job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data & Analytics Manager - Supply Chain

Data & Analytics Manager - Supply Chain

Ross Stores, Inc

Fort Mill, SC โ€ข Hybrid

Full-time

Posted just now


Job description

GENERAL PURPOSE:ย 
The Manager of Data & Analytics will be responsible for elevating the analytical capabilities within the Ross Supply Chain and leading sophisticated analysis in support of strategic projects and senior executives. Drives analytic excellence by identifying and adopting new analytical methodologies and increasing business access to data. ย An integral part of the business, helping to drive decision making, execution and assessment through rigorous analysis. ย Expected to focus on project-based (and ad hoc) work supporting key strategic priorities for the business. ย Works in close partnership with the Engineering team and other cross-functional partners. ย Will keep current with the latest academic research in data science and identify new business opportunities that can be solved using machine learning.

ESSENTIAL FUNCTIONS:
Perform practical, action oriented, & comprehensive data analysis to diagnose business problems, optimize business approaches and measure impact - supporting multiple functions.
ย ย ย ย Lead analytics for select cross-functional initiatives (e.g. region split, new format improvement, roll-out strategy for new business opportunities). This will require working closely with areas like Marketing, Planning, Store Operations, DCs and others.
ย ย ย ย Play the role of "Subject Matter Expert" for analytics on these projects.
ย ย ย ย Flexibly support different types of analysis (e.g. manipulating large data sets, building models, statistical analysis), leveraging understanding of the off-price business/Ross/dd's to drive insights and recommendations.ย 
ย ย ย ย Independently summarize and communicate insights and recommendations with business partners.
Drive analytic excellence
ย ย ย ย Independently identify opportunities for better data access, build roadmap for advanced analytics at Ross, understand the requirements, and get leadership support.
ย ย ย ย Keep abreast of new analytical /statistical methodologies or capabilities, e.g. through annual conversations with vendors, or ad hoc investigation when new analysis requires new techniques.
ย ย ย ย Recommend upgrades or external trainings as needed.
ย ย ย ย Adopt new technologies and/or methodologies and train others on them.
ย ย ย ย Lead the build out of advanced data capabilities at Ross, while effectively communicating and partnering with the appropriate parties.
Communicate analytics and recommendations in an easy-to-understand way (written and verbal)
ย ย ย ย Develop compelling materials to communicate results of analysis and key insights.
Ad hoc support
ย ย ย ย Become the point person / subject matter expert for ad hoc questions from cross-functional business partners.

COMPETENCIES:
ย ย ย ย Problem Solvingย ย ย ย 
ย ย ย ย Technical/Functional Skills
ย ย ย ย Business Acumenย ย ย ย 
ย ย ย ย Technical Learning
ย ย ย ย Intellectual Horsepowerย ย ย ย 
ย ย ย ย Peer Relationships/Collaboration
ย ย ย ย Learning on the Flyย ย ย ย 
ย ย ย ย Drive for results

QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
ย ย ย ย Strong analytic skills with recent work experience writing MS SQL or Oracle SQL queries
ย ย ย ย Must be proficient in Excel and PowerPoint, and have experience in Power BI or Tableau
ย ย ย ย Outstanding analytical ability: Must have a data driven approach to solving problems. Requires very strong quantitative skills and a good sense of how to structure problems.
ย ย ย ย Minimum 5 years post college experience, with work experience in analytical positions. Relevant retail/Supply Chain experience preferred.
ย ย ย ย Project Management: Must be able to set priorities between multiple projects and deadlines, and keep senior team updated frequently.
ย ย ย ย Detail-oriented approach: Must have very close attention to details and the drive to get things right.
ย ย ย ย MBA or Master's degree in a quantitative fieldย 

PHYSICAL REQUIREMENTS/ADA:
Job requires ability to work in an office environment, primarily on a computer.ย 
Requires sitting, standing, walking, hearing, talking on the telephone, attending in-person meetings, typing, and working with paper/files, etc.ย 
Consistent timeliness and regular attendance. ย 
Vision requirements: Ability to see information in print and/or electronically.
This role requires regular in-office presence, including to engage in in-person team interaction, meetings and collaboration, client support, mentoring, coaching, and/or feedback. However, this role can perform duties effectively using a combination of in-office and remote work.

#LI-Hybrid

SUPERVISORY RESPONSIBILITIES:
None


DISCLAIMER
This job description is a summary of the primary duties and responsibilities of the job and position. ย It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. ย Contents are subject to change at management's discretion.

Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.
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