How to Become a Data Analytics Manager for 2025

Co-Founder and Chief Data Scientist

In recent years, data has become central to decisions, big and small. Companies use accurate information to support their every move, as one wrong decision can be costly. This is why data analytics is fundamental to a successful business, and a data analytics manager plays an important role.

Fortunately, for aspiring data analytics managers, related roles have a positive job growth rate between 2023 and 2024 based on occupational data from the United States (US) Bureau of Labor Statistics (BLS). Moreover, the 2023 median annual wage for data scientists across the country was $108,020 (US BLS, 2024).

To help you get started on your career in the field, I created this in-depth guide to becoming a data analytics manager. I will discuss the skills necessary to succeed in the industry, the responsibilities of data analytics managers, potential career paths, and the current job market.

What are the benefits of becoming a data analytics manager?

Becoming a data analytics manager provides you with other profitable professional roles, such as data scientist, statistician, and financial analyst.
In 2023, data scientists across the US had a median annual wage of $108,020 (US BLS, 2024).
Data scientists may find employment in different industries, including computer systems design, insurance carriers, and management consulting services.

What does a data analytics manager do?
What industries hire data analytics managers most for 2025?
What degree do you need to become a data analytics manager?
What is the typical career path to becoming a data analytics manager?
What technical skills are required for a data analytics manager?
What soft skills are essential for a data analytics manager?
What are the best certifications for data analytics managers?
How can advanced technical education accelerate my transition to data analytics management?
What ongoing education strategies can elevate a data analytics manager’s career?
What future trends are shaping the role of data analytics managers?
How do mentorship and networking opportunities impact career advancement?
Are certifications and advanced degrees essential for career growth in data analytics management?
How can interdisciplinary education elevate a data analytics manager's career?
What entry-level jobs lead to a data analytics manager role?
What are the biggest challenges that data analytics managers face?
How does the job outlook for data analytics managers compare to other tech roles?
Other Things You Should Know About Becoming a Data Analytics Manager

What does a data analytics manager do?

A data analytics manager examines raw data to extract actionable insights that can support business decisions. Data analytics managers lead a team of data analysts, oversee data collection and analysis processes, and ensure that insights align with organizational goals. Their responsibilities include developing strategies, selecting analytical tools, and presenting findings to executives and stakeholders.

Data analytics managers also connect data teams with other business units. They are tasked to translate complex datasets into clear, strategic recommendations. They may work with technologies, including SQL and Python, as well as visualization tools, such as Tableau or Power BI. Moreover, they ensure data accuracy, manage reporting systems, and stay updated on industry trends.

Pursuing an online MBA business analytics program can equip aspiring data analytics managers with the advanced skills needed to lead in this field. These programs focus on data-driven decision-making, strategic analysis, and leadership, preparing professionals for high-level roles. For those exploring this path, our MBA program application guide may offer helpful insights on navigating admissions.

With organizations increasingly relying on data for decision-making, data analytics managers are in high demand across different industries, such as finance, healthcare, technology, and education.

What industries hire data analytics managers most for 2025?

Professionals with backgrounds that are related to the field of data analytics found employment in different industries. These include computer systems design, research and development, as well as education, among other leading employers. For instance, in 2023, the following were the largest employers of data scientists in the US (US BLS, 2024):

Computer Systems Design and Related Services: 11%
Insurance Carriers and Related Activities: 10%
Management of Companies and Enterprises: 9%
Management, Scientific, and Technical Consulting Services: 6%
Scientific Research and Development Services: 5%

On the other hand, the following were the largest employers of statisticians in the US (US BLS, 2024):

Federal Government: 16%
Research and Development in the Physical, Engineering, and Life Sciences: 16%
Healthcare and Social Assistance: 7%
Computer Systems Design and Related Services: 6%
Colleges, Universities, and Professional Schools; state: 6%

In the same year, the following were the largest employers of database administrators in the US (US BLS, 2024):

Computer Systems Design and Related Services: 13%
Finance and Insurance: 13%
Educational Services (State, Local, and Private): 10%
Information: 10%
Management of Companies and Enterprises: 7%

The chart below provides a visualization of the largest employers of data scientists across the US in 2023, according to 2024 data from the US BLS.

What degree do you need to become a data analytics manager?

Many data analytics professionals hold at least a bachelor’s degree in data analytics or related fields, such as data science, business analytics, computer science, or statistics. A formal education provides a strong foundation in data analysis, programming, and business strategy, which are essential skills for this role. For those looking for a more accessible entry point into the business world, pursuing the easiest online business degree can be a flexible way to build foundational knowledge in analytics, management, and decision-making. Some employers, especially in large corporations, may prefer candidates with a master’s degree in data analytics or an MBA with a relevant concentration.

However, professional experience and technical proficiency can sometimes outweigh formal education. Many professionals transition into data analytics management through hands-on experience, certifications, and self-taught skills. Ultimately, while a degree can accelerate career progression, practical skills, leadership experience, and industry knowledge are just as critical for success in this field.

Choosing the Right MBA Path

For professionals considering an MBA as a route to leadership in data analytics, it’s important to think carefully about program focus. Understanding what is the difference between general and specialized MBA programs can help candidates make more informed decisions about their education. A general MBA provides broad training in areas like finance, operations, and marketing, which can benefit those aiming for cross-functional leadership roles. In contrast, a specialized MBA—such as one in business analytics or data science—offers deeper technical training and domain-specific coursework that may better align with the analytical demands of this career path. The choice ultimately depends on individual career goals and whether one seeks versatility or specialization in the evolving analytics field.

What is the typical career path to becoming a data analytics manager?

Becoming a data analytics manager usually involves progressing through several key career stages. During my research, I found that the following are the three main steps:

Gain foundational experience as a data analyst. Most professionals start as data analysts, focusing on collecting, cleaning, and interpreting data using tools, such as SQL, Python, and Excel. This phase helps build technical expertise and business acumen.
Advance to a senior analyst role. After a few years of professional experience, analysts can be qualified to move into senior or lead roles. Senior analysts take on more complex projects, mentor junior analysts, and contribute to business strategy. This stage strengthens leadership and communication skills.
Transition into a data analytics manager position. With sufficient experience, professionals can step into management roles, overseeing teams, driving data strategies, and collaborating with executives to inform decision-making. Earning an accelerated online MBA can help professionals fast-track their careers by gaining advanced leadership and strategic decision-making skills in a shorter time frame.

Online vs. In-Person MBA Formats

When considering an MBA to support a move into management, format matters just as much as content. The question of online MBA vs in person MBA often comes down to flexibility, learning style, and networking goals. Online programs—especially accelerated options—appeal to working professionals who need to balance full-time jobs with graduate study. In-person programs, on the other hand, may offer richer peer collaboration, on-campus resources, and structured immersion. Aspiring data analytics managers should weigh these trade-offs in light of their career stage, schedule, and preferred learning environment.

What technical skills are required for a data analytics manager?

To succeed as a data analytics manager, professionals must have a strong foundation in both technical expertise and business strategy. The following are three key technical skills:

Proficiency in Data Querying and Programming: Data analytics managers must be skilled in database management, data analysis, and automation tools. Programming languages help process large datasets efficiently and develop predictive models. Enrolling in one of the top online MBA programs with a focus on business analytics can provide valuable training in these areas.
Data Visualization and Business Intelligence (BI) Tools: Managers need to present insights clearly using effective tools, such as Tableau, Power BI, or Looker. Strong visualization skills ensure complex data is transformed into actionable reports for executives and stakeholders.
Statistical Analysis and Machine Learning Basics: Understanding statistical modeling, A/B testing, and regression analysis helps managers guide their teams in extracting meaningful trends. While not always hands-on, a grasp of machine learning concepts is increasingly valuable in advanced analytics.

For data analytics managers aiming to deepen their technical expertise, pursuing an MBA in data science best programs can be a powerful next step. These programs combine the strategic business leadership skills of a traditional MBA with cutting-edge data science coursework, preparing professionals to handle complex datasets and advanced analytical models. Graduates can enter leadership roles with a robust understanding of both the technical and managerial sides of the analytics field, setting them apart in an increasingly data-driven business world.

What soft skills are essential for a data analytics manager?

Beyond technical expertise, soft or “power” skills are essential for data analytics managers to effectively lead teams and communicate insights. In fact, 58% of HR managers say that soft skills are important to any role. The following are three key soft skills that you may need to develop to succeed in this role:

Leadership and Team Management: Data analytics managers must motivate and guide their teams, delegate tasks effectively, and ensure that projects align with business objectives. Strong leadership fosters collaboration and productivity. Pursuing an online supply chain management degree can help professionals develop leadership and analytical skills that are valuable in managing data-driven operations.
Communication and Data Storytelling: Translating complex data into clear, actionable insights is essential. Managers need to communicate findings to executives, clients, and non-technical stakeholders using concise reports and compelling data visualizations.
Problem-solving and Critical Thinking: A data analytics manager must approach challenges with a strategic mindset. They must be able to identify trends, troubleshoot data inconsistencies, and develop solutions that optimize business performance.

What are the best certifications for data analytics managers?

Earning a certification can enhance an aspiring or current data analytics manager’s expertise, credibility, and career prospects. The right certifications validate technical skills, leadership abilities, and industry knowledge. Thus, it makes professionals more competitive in the job market. Those with an MIS major may find certifications especially useful in complementing their academic background with industry-recognized credentials.

Google Data Analytics Professional Certificate: Google offers the Data Analytics Professional Certificate through Coursera. It consists of eight courses that you can go through at your own pace. Interested students are not required to have a degree or experience in data analytics.
IBM Data Analyst Professional Certificate: IBM also offers a Data Analyst Professional Certificate program through Coursera. The credential shows that you are prepared to take on at least entry-level data analytics roles. Earning this certificate demonstrates that you are skilled at implementing analytical techniques, crafting visualizations, and sharing report findings.
Microsoft Certified: Power BI Data Analyst Associate: Microsoft offers the Power BI Data Analyst Associate credential. The intermediate-level certification helps professionals show that they are skilled at methods and best practices for dealing with data through Microsoft Power BI.

How can advanced technical education accelerate my transition to data analytics management?

Advanced technical education equips professionals with emerging methodologies and robust system design skills that complement managerial expertise. Integrating specialized coursework into your career path can enhance strategic decision-making and innovation in handling complex datasets and evolving technologies. For instance, obtaining credentials through the fastest online computer science degree provides intensive, current training that supports technical proficiency and leadership in data-driven environments.

What ongoing education strategies can elevate a data analytics manager’s career?

Data analytics management is a rapidly evolving field where continuous learning is essential to maintain a competitive edge. Professionals are encouraged to explore specialized workshops, certifications, and short-term courses that focus on emerging analytical tools and leadership techniques. Integrating interdisciplinary studies—such as advanced data visualization and creative problem-solving from fields like digital arts—can further enhance strategic insights. For example, some leaders leverage insights gained from programs at top online game art schools to innovate in visual data storytelling. Actively participating in industry forums and conferences also facilitates the exchange of best practices and the discovery of novel technological trends.

What future trends are shaping the role of data analytics managers?

Emerging technologies and evolving regulatory landscapes are redefining data analytics management. Artificial intelligence, machine learning, and automation are driving the adoption of innovative analytical tools and shaping decision-making processes. Data analytics managers now must integrate advanced data governance and privacy practices to stay ahead of increased compliance demands. Additionally, cross-industry insights—such as those gained from a health informatics career—are becoming crucial as organizations seek tailored strategies for sector-specific challenges. Embracing cloud-based architectures and real-time data platforms further reinforces the need for agile adaptation and continuous skill enhancement in this dynamic field.

How do mentorship and networking opportunities impact career advancement?

Effective mentorship and robust networking are pivotal in accelerating the career paths of data analytics managers. By engaging in mentoring relationships, professionals gain targeted guidance that enhances decision-making skills and leadership acumen. Networking facilitates exposure to industry innovations, provides access to exclusive job opportunities, and fosters collaborative problem-solving without repeating technical details found in earlier sections. Additionally, participating in relevant educational programs—such as the cheapest degree in artificial intelligence—can complement mentorship by deepening technical knowledge and strategic management capabilities. This combination of mentorship, networking, and continuous education empowers data analytics managers to navigate competitive market demands while refining both soft and technical skills.

Are certifications and advanced degrees essential for career growth in data analytics management?

Advanced professional development is increasingly critical in data analytics management. In a field characterized by rapid technological advancements and evolving compliance demands, certifications and advanced degrees validate technical proficiency while enhancing leadership and strategic decision-making. These credentials signal an up-to-date understanding of emerging analytical methodologies and support the implementation of innovative solutions in complex, data-driven environments. For instance, investing in an affordable online data science masters degree can provide targeted knowledge that boosts managerial expertise and distinguishes candidates in competitive hiring processes.

How can interdisciplinary education elevate a data analytics manager's career?

Leveraging interdisciplinary education equips data analytics managers with diverse perspectives and strategic insights that drive innovation. Targeted learning beyond core data skills—especially through specialized courses in adjacent fields like healthcare informatics—enables professionals to address sector-specific challenges and expand their operational expertise. For instance, augmenting your knowledge through affordable online nursing informatics programs can enhance your ability to integrate data-driven strategies across multidisciplinary environments, ultimately reinforcing leadership and fostering agile decision-making in the rapidly evolving tech landscape.

What entry-level jobs lead to a data analytics manager role?

Many professionals start in entry-level roles before advancing to data analytics management. The following are five common career paths:

Database Administrators and Architects: These professionals create, maintain, and organize databases to ensure data integrity and accessibility. Their expertise in SQL and data management systems makes them well-suited for analytics leadership roles. In 2023, these professionals in the US had a median annual wage of $117,450 (US BLS, 2024).
Data Scientists: Data scientists build predictive models, machine learning algorithms, and statistical analyses to uncover insights. Their deep technical expertise and problem-solving skills make them strong candidates for managerial positions. In 2023, data scientists across the US had a median annual wage of $108,020 (US BLS, 2024).
Statisticians: Statisticians specialize in data collection, probability, and trend analysis, helping organizations make informed decisions. Their background in quantitative analysis provides a good foundation for leading analytics teams. In 2023, statisticians in the US had a median annual wage of $104,110 (US BLS, 2024).
Financial Analysts: Financial analysts use data to forecast revenue, assess risks, and optimize budgets. Their ability to interpret financial data and advise businesses aligns well with analytics management roles. In 2023, financial analysts had a median annual wage of $99,890 (US BLS, 2024).
Management Analysts: Also known as business consultants, these professionals analyze operational data to improve efficiency. Their experience in data-driven decision-making makes them strong candidates for leadership in analytics. In 2023, management analysts in the US had a median annual wage of $99,410 (US BLS, 2024).

The chart below provides a visualization of the 2023 median annual wages of roles related to data analytics in the US, according to 2024 data from the US BLS.

What are the biggest challenges that data analytics managers face?

While data analytics management is a rewarding career, it comes with several challenges. The following are three major obstacles professionals in this role often encounter:

Ensuring Data Accuracy and Quality: One of the biggest challenges is maintaining clean, reliable data. Inconsistent data sources, missing values, and errors can lead to inaccurate insights. This requires data analytics managers to implement strict data governance and validation processes.
Communicating Insights to Non-technical Stakeholders: Data analytics managers must translate complex data findings into actionable business insights. Many executives and department heads lack technical expertise, so managers must simplify reports and visualizations to support effective decision-making.
Keeping Up with Evolving Technology: The data industry is constantly changing, with new tools, programming languages, and AI advancements emerging regularly. A data analytics manager must stay updated on trends, invest in continuous learning, and ensure their teams adapt to cutting-edge technologies.

How does the job outlook for data analytics managers compare to other tech roles?

Professions related to data analytics are seeing a positive job outlook between 2023 and 2033 (US BLS, 2024), giving them abundant career opportunities.

Database Administrators and Architects: Employment for database administrators and architects in the US is expected to increase by 9% over the decade, translating to an average of around 9,500 job openings annually.
Data Scientists: Data-scientist roles are also expected to increase, with a 36% job growth rate during the decade. This translates to an average of around 20,800 job openings every year.
Statisticians: Employment for statisticians across the country has been predicted to grow by 12%, with an average of about 2,500 job openings for statisticians and mathematicians yearly over the decade.
Financial Analysts: Aspiring financial analysts in the US have been seeing a 9% job growth rate over the decade, with an average of around 30,700 job openings annually.
Management Analysts: Employment for management analysts is expected to grow by 11% over the decade, translating to an average of about 95,700 job openings annually.

Here’s What Professionals Have to Say about Their Careers in Data Analytics

“Transitioning into a data analytics manager role was the best decision of my career. The combination of technical expertise and leadership allows me to drive real business decisions, and the demand for skilled professionals in this field keeps growing. It’s incredibly rewarding to see how data-driven insights directly impact a company’s success.” —Kendall
“One of the biggest perks of being a data analytics manager is the flexibility—many roles allow remote work, and the structured nature of analytics makes work-life balance achievable. I love that my job challenges me intellectually while still giving me time for family and personal growth. Plus, salaries in this field are competitive, making it a financially rewarding career choice.” —Lucas
“Becoming a data analytics manager meant stepping into a role where learning never stops. Every day, I work with cutting-edge technologies, solve complex problems, and collaborate with cross-functional teams. The thrill of uncovering insights that shape business strategy makes this career both exciting and fulfilling.” —Denise

Key Findings

A data analytics manager examines raw data to extract actionable insights that can support business decisions. Data analytics managers lead a team of data analysts, oversee data collection and analysis processes, and ensure that insights align with organizational goals.
The largest employers of data scientists in the US in 2023 were computer systems design and related services (11%); insurance carriers and related activities (10%); management of companies and enterprises (9%); management, scientific, and technical consulting services (6%); and scientific research and development services (5%) (US BLS, 2024).
Many data analytics professionals hold at least a bachelor’s degree in data analytics or related fields, such as data science, business analytics, computer science, or statistics.
Data-scientist roles are also expected to increase, with a 36% job growth rate between 2023 and 2033. This translates to an average of around 20,800 job openings every year (US BLS, 2024).
In 2023, data scientists across the US had a median annual wage of $108,020 (US BLS, 2024).

Other Things You Should Know about Becoming a Data Analytics Manager

What can data analytics do?

Data analytics helps businesses and organizations make informed decisions by identifying patterns, trends, and insights from raw data. It improves efficiency, predicts future outcomes, detects fraud, enhances customer experiences, and optimizes operations. Industries, such as healthcare, finance, and marketing, use data analytics to drive strategic growth and innovation.

Is data analytics a good career?

Data analytics is a great career with high demand, competitive salaries, and diverse industry opportunities. It offers job stability, career growth, and flexibility, especially with remote work options. As businesses increasingly rely on data-driven decision-making, skilled professionals in data analytics continue to be highly valued and well-compensated.

What is the highest salary of an analytics manager?

Data analytics managers in the US can have a base income between $125,000 and $174,000 per year (Glassdoor, 2024). Different factors, such as experience, location, company size, and industry, influence earnings.

What qualifications do I need to be a data analyst?

To become a data analyst, you usually need a bachelor’s degree in data science, statistics, computer science, or a related field. Essential skills include SQL, Python, Excel, and data visualization tools, such as Tableau. Certifications and hands-on experience with data analysis projects can also enhance job prospects.

References:

National Center for Education Statistics. (2024, May). Undergraduate Degree Fields. https://nces.ed.gov/programs/coe/indicator/cta
US Bureau of Labor Statistics. (2024, August 29). Database Administrators and Architects. Occupational Outlook Handbook. https://www.bls.gov/ooh/computer-and-information-technology/database-administrators.htm
US Bureau of Labor Statistics. (2024, August 29). Data Scientists. Occupational Outlook Handbook. https://www.bls.gov/ooh/math/data-scientists.htm
US Bureau of Labor Statistics. (2024, August 29). Financial Analysts. Occupational Outlook Handbook. https://www.bls.gov/ooh/business-and-financial/financial-analysts.htm
US Bureau of Labor Statistics. (2024, August 29). Management Analysts. Occupational Outlook Handbook. https://www.bls.gov/ooh/business-and-financial/management-analysts.htm
US Bureau of Labor Statistics. (2024, August 29). Mathematicians and Statisticians. Occupational Outlook Handbook. https://www.bls.gov/ooh/math/mathematicians-and-statisticians.htm