Data Analysis Manager Job Description [Updated for 2025]

In the era of big data, the focus on Data Analysis Managers is more prominent than ever.

As technology progresses, the demand for skilled individuals who can interpret, manage, and secure our data systems grows louder.

But let’s delve deeper: What’s truly expected from a Data Analysis Manager?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager outlining the perfect candidate,
• Or simply fascinated by the intricacies of data analysis management,

You’ve come to the right place.

Today, we present a customizable Data Analysis Manager job description template, designed for effortless posting on job boards or career sites.

Let’s dive right in.

Data Analysis Manager Duties and Responsibilities

Data Analysis Managers are responsible for managing an organization’s data analytics and ensuring the quality and accuracy of data.

They are also responsible for interpreting the data and providing insights to help senior management make informed business decisions.

Data Analysis Managers have the following duties and responsibilities:

• Oversee the collection, management, and storage of data across the organization
• Ensure the accuracy and quality of data
• Implement and manage data analysis tools and applications
• Interpret data and analyze results using statistical techniques
• Produce reports and visualizations to present the data in a way that is accessible and understandable to non-technical stakeholders
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes
• Collaborate with IT, management, and other stakeholders to establish business needs and translate them into data analysis projects
• Drive the data strategy and align it with business goals
• Ensure the company is compliant with data protection regulations
• Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
• Identify, analyze, and interpret trends or patterns in complex data sets

 

Data Analysis Manager Job Description Template

Job Brief

We are seeking an experienced and dynamic Data Analysis Manager to lead our data analysis team.

This role involves overseeing the collection, analysis and interpretation of data to help drive strategic decisions.

Data Analysis Manager responsibilities include managing data collection processes, designing and implementing databases and data analysis systems, and interpreting trends or patterns in complex data sets.

Our ideal candidate has a strong understanding of data analysis tools and an ability to use statistical methods to analyze large amounts of data and generate useful business reports.

 

Responsibilities

• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.
• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.

 

Qualifications

• Proven working experience as a Data Analyst or Business Data Analyst
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Data Analysis Manager
• Work Environment: This role is office-based with some opportunities for remote work. Occasional travel may be required for team meetings or industry events.
• Reporting Structure: The Data Analysis Manager reports directly to the Director of Data Analytics.
• Salary: Salary is dependent on experience and qualifications, as well as market and business considerations.
• Pay Range: $95,000 minimum to $130,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Data Analysis Manager Do?

Data Analysis Managers typically work in various industries such as IT firms, business corporations, or research institutions.

They can also work independently as consultants.

They lead a team of data analysts to collect, process, and perform statistical analyses of data.

Their job includes designing and implementing data analysis, data collection systems, and other strategies that optimize statistical efficiency and quality.

Data Analysis Managers extract insights from data sets for product development and business growth.

They interpret complex data sets to help their company make decisions and predictions based on collected data.

They work closely with management to prioritize business and information needs and to establish department goals and budgets.

They also ensure that the databases are cleaned and pruned to discard irrelevant information.

Data Analysis Managers identify trends and patterns in complex data sets, define new data collection and analysis processes, and provide sector and competitor benchmarking.

Moreover, they are in charge of presenting their findings to the senior management and providing advice to enhance strategies.

 

Data Analysis Manager Qualifications and Skills

A proficient Data Analysis Manager should demonstrate a variety of technical skills, management skills, and industry knowledge, including:

• Strong analytical skills to interpret complex data and provide insights and solutions based on findings
• Proficient in data analysis tools and software such as SQL, Python, R, and Excel to manage and analyze data efficiently
• Excellent leadership skills to manage and lead a team of data analysts, ensuring they stay motivated and meet their targets
• Exceptional communication skills to present data findings to stakeholders, explaining the significance of the data in an easy to understand manner
• Strong problem-solving skills to quickly identify and resolve any data discrepancies or issues
• Demonstrated experience in developing and implementing data analysis methodologies and standards to ensure accuracy and consistency
• Good organization skills to manage multiple projects simultaneously and meet deadlines
• Familiarity with data privacy regulations and best practices to ensure the organization’s compliance
• High attention to detail to ensure the accuracy of the data analysis and reports

 

Data Analysis Manager Experience Requirements

Entry-level candidates for a Data Analysis Manager role often have at least 3 to 5 years of experience in data analysis or a related field.

This experience may be gained through roles such as Data Analyst, Business Analyst, or Statistical Analyst.

These professionals typically start their careers by working on data collection, data cleaning, and basic data interpretation tasks.

They learn to use various data analysis tools and software, conduct quantitative and qualitative analysis, and present their findings in an understandable format.

Candidates with more than 5 years of experience are often considered for a managerial role.

They are expected to have a deep understanding of data analysis methodologies, have proficiency in advanced data analysis tools, and have experience in managing large data sets and projects.

In addition to these, they should have developed strong leadership skills and have some experience in managing a team.

They should have experience in working with cross-functional teams, coordinating with stakeholders, and making strategic decisions based on data insights.

Those seeking senior-level positions should have more than 10 years of experience, with several years in a managerial role.

They should have a proven track record of leading successful data analysis projects, developing data-driven strategies, and influencing business decisions.

They should also have advanced skills in big data platforms, predictive modeling, machine learning, and other advanced analytical techniques.

 

Data Analysis Manager Education and Training Requirements

Data Analysis Managers usually have a bachelor’s degree in mathematics, statistics, economics, business, or another related field.

A deep understanding of data manipulation and interpretation, as well as skills in programming languages such as SQL, Python, or R, is essential.

A majority of roles often require a master’s degree in data science, statistics or a related field, offering specialization and in-depth understanding.

This higher level of education provides a strong foundation in predictive modeling, machine learning, and advanced data visualization techniques.

In addition to formal education, Data Analysis Managers should have several years of experience in data analysis or related roles.

This experience allows them to develop the practical skills needed to manage and interpret large datasets and to lead data analysis teams effectively.

Certifications in data analysis, business intelligence, or project management can further enhance a candidate’s qualifications.

This includes certifications like Certified Analytics Professional (CAP), Microsoft Certified: Azure Data Scientist Associate, or Project Management Professional (PMP).

Continuing education is also critical as technology and analytical methods evolve rapidly.

Thus, a commitment to lifelong learning and staying current with industry trends is an essential part of a successful career in data analysis management.

 

Data Analysis Manager Salary Expectations

The average salary for a Data Analysis Manager is approximately $108,249 (USD) per year.

The actual compensation can significantly vary depending on the level of experience, industry, size of the company, and geographical location.

 

Data Analysis Manager Job Description FAQs

What skills does a Data Analysis Manager need?

A Data Analysis Manager should possess excellent analytical skills to interpret complex data and convert it into understandable information.

They should have strong knowledge of data analysis tools and databases, and also be proficient in statistical analysis.

Communication and leadership skills are essential as they will need to guide and manage a team of data analysts.

 

Do Data Analysis Managers need a degree?

Yes, a Data Analysis Manager usually requires a bachelor’s degree in a related field such as statistics, mathematics, computer science, or economics.

Many companies also prefer a master’s degree in business administration (MBA) or a related field.

It’s also essential for them to have several years of experience in data analysis or a related area.

 

What should you look for in a Data Analysis Manager resume?

A Data Analysis Manager’s resume should highlight their technical skills, including proficiency in data analysis tools, programming languages, and databases.

It should also demonstrate strong leadership abilities and experience managing a team.

A background in statistical analysis, forecasting, and trend prediction is highly desirable.

Their resume should also mention their educational qualifications and certifications relevant to the role.

 

What qualities make a good Data Analysis Manager?

A good Data Analysis Manager is detail-oriented and possesses strong problem-solving skills.

They have the ability to analyze complex datasets and identify trends that can inform business decisions.

Excellent communication skills are crucial, as they need to effectively share their insights with team members and company executives.

They are also responsible for leading a team, so they should be capable of motivating and mentoring others.

 

What are the daily duties of a Data Analysis Manager?

The daily duties of a Data Analysis Manager include leading a team of analysts to interpret data and identify trends, liaising with other departments to understand their data needs, and developing data collection systems and strategies.

They also ensure the quality and accuracy of data, provide reports and visualizations to senior management, and contribute to decision-making processes.

 

Is it difficult to hire a Data Analysis Manager?

Hiring a Data Analysis Manager can be challenging due to the specific technical and leadership skills required for the role.

The candidate must have a strong foundation in data analysis techniques and tools, as well as experience managing a team.

As data has become increasingly important in business decision making, the demand for skilled Data Analysis Managers has grown, making the hiring process competitive.

 

Conclusion

And there you have it.

Today, we pulled back the veil to uncover what it truly means to be a Data Analysis Manager.

Surprise?

It’s not just about crunching numbers.

It’s about steering business strategies and decisions, one data point at a time.

With our insightful Data Analysis Manager job description template and tangible examples, you’re ready to make your mark.

But why limit yourself?

Delve deeper with our job description generator. It’s your springboard to meticulously-crafted listings or sharpening your resume to brilliance.

Don’t forget:

Every piece of data tells a story in the grand scheme of things.

Let’s decode that future. Together.

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