Data and Analytics Manager Job Description [Updated for 2025]

data and analytics manager job description

In the age of information, the role of Data and Analytics Managers has become increasingly essential.

As technology progresses, the demand for proficient experts who can collect, manage, and interpret vast amounts of data grows exponentially.

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

Whether you are:

  • A job seeker trying to understand the core of this role,
  • A hiring manager outlining the perfect candidate,
  • Or simply fascinated by the realm of data and analytics,

You’re in the right place.

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

Let’s dive right into it.

Data and Analytics Manager Duties and Responsibilities

Data and Analytics Managers are responsible for managing the data analysis and reporting processes within an organization.

They also develop and implement strategies to collect and analyze data effectively and use those insights to drive business decisions.

They have the following duties and responsibilities:

  • Develop and implement data analysis, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Develop and implement databases, data collection systems, data analytics, and other strategies to optimize statistical efficiency and quality
  • Interpret data and analyze results using statistical techniques
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Prepare accurate reports for upper management
  • Ensure adherence to data management/data governance regulations and policies

 

Data and Analytics Manager Job Description Template

Job Brief

We are seeking a detail-oriented, thorough, and organized Data and Analytics Manager to join our growing team.

In this position, you will oversee the development and use of data systems, monitor and analyze information and data systems and ensure that all information meets company standards for accuracy and compliance.

Our ideal candidate has a strong understanding of databases and data analysis procedures, is tech-savvy and possesses excellent troubleshooting skills.

 

Responsibilities

  • Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
  • Manage a team of data analysts

 

Qualifications

  • Proven working experience as a Data Analyst or Business Data Analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • 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 and Analytics Manager
  • Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
  • Reporting Structure: Reports to the Director of Data and Analytics or Chief Information Officer.
  • Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
  • Pay Range: $85,000 minimum to $150,000 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 and Analytics Manager Do?

Data and Analytics Managers play a crucial role in businesses across various industries.

They are responsible for designing and implementing tools and strategies that help businesses interpret and use data effectively.

They work with teams of data analysts and scientists to gather data from multiple sources, clean and validate it to ensure accuracy, completeness, and uniformity.

Their job is to analyze and interpret complex digital data like website traffic, visitor behavior, and social media engagement.

They then use this information to guide business strategies and decisions.

Data and Analytics Managers are also responsible for designing and creating data reports using business intelligence software, translating data findings into understandable tables, graphs, and written reports.

In addition, they are often tasked with developing rules and methodologies for data collection and analysis, and ensuring the company meets data privacy regulations.

They often work closely with top management to identify business needs and information gaps, and then propose and develop strategies to meet those needs.

With the rise of big data, the role of a Data and Analytics Manager is increasingly important as businesses rely on insights gained from data to stay competitive and innovative.

 

Data and Analytics Manager Qualifications and Skills

Data and Analytics Managers are expected to have a mix of technical expertise, analytical abilities and management skills, including:

  • Strong mathematical and statistical analysis skills to comprehend complex data from various sources.
  • Expertise in data analysis tools and software such as SQL, Python, R, SAS or similar, and data visualization tools like Tableau, Power BI or similar.
  • Exceptional problem-solving skills to identify trends, patterns and insights from data and translate them into actionable strategies.
  • Management skills to oversee a team of data analysts, ensuring timely completion of projects and quality of work.
  • Excellent communication skills to effectively explain complex data findings to non-technical team members and stakeholders in a clear and understandable manner.
  • Experience in project management and the ability to manage multiple projects concurrently, prioritizing as per business needs.
  • Understanding of data privacy laws and ethical considerations in data handling, ensuring compliance within the organization.
  • High level of attention to detail to ensure accuracy in data analysis and reporting.

 

Data and Analytics Manager Experience Requirements

Data and Analytics Manager candidates typically require a minimum of 5 to 7 years of experience in the field of data analysis, business intelligence, or data science.

Experience in a managerial role is often preferred, demonstrating ability to lead a team and make strategic decisions based on data insights.

Entry-level professionals can gain experience in roles such as Data Analyst, Junior Data Scientist, or Business Intelligence Analyst.

These roles provide a solid foundation in collecting, analyzing, and interpreting large datasets, as well as presenting findings to non-technical audiences.

Those with 3 to 5 years of experience often have expanded their skill set to include advanced statistical techniques, predictive modeling, and experience with data visualization tools.

Roles at this level may include Senior Data Analyst, Data Scientist, or Business Intelligence Developer.

Candidates with more than 5 years of experience often have a deep understanding of data architecture, machine learning algorithms, and advanced analytics strategies.

They may have held roles such as Lead Data Scientist or Senior Business Intelligence Analyst, where they have developed strong leadership skills and experience managing complex data projects.

Additionally, due to the strategic nature of this role, experience in the specific industry of the hiring company may be beneficial, as this can provide valuable context for data analysis and decision-making.

For example, a Data and Analytics Manager in a healthcare company may benefit from previous experience in the healthcare sector.

 

Data and Analytics Manager Education and Training Requirements

Data and Analytics Managers generally possess a bachelor’s degree in a related field such as data science, computer science, information systems, statistics, or mathematics.

This role requires a robust understanding of data analysis techniques, data mining, and the ability to understand and operate various analytics software, like SQL, Hadoop, or Python.

Many companies prefer Data and Analytics Managers with a master’s degree in business analytics, data science, or a similar discipline, as it typically provides more advanced, specialized knowledge.

Additionally, professional certifications related to data analysis, such as Certified Analytics Professional (CAP), Microsoft Certified: Azure Data Scientist Associate, or Google Data Analytics Professional Certificate can be beneficial and increase job prospects.

Work experience in data analysis or management, typically 5-7 years, is also a common requirement for this role.

This experience can display a candidate’s ability to manage, analyze, and interpret large data sets and use them to guide strategic decision-making.

Continual learning is a crucial aspect of this role given the fast-paced evolution of data analysis tools and techniques.

Therefore, ongoing professional development and staying current with the latest industry trends is often expected.

 

Data and Analytics Manager Salary Expectations

A Data and Analytics Manager earns an average salary of $123,175 (USD) per year.

This can vary based on factors such as experience, the complexity of data managed, the industry they work in, and the geographical location.

 

Data and Analytics Manager Job Description FAQs

What skills does a Data and Analytics Manager need?

A Data and Analytics Manager should have a deep understanding of data analysis tools and database management.

They should have excellent analytical and problem-solving skills, and be able to interpret complex data to provide actionable insights.

Proficiency in SQL or other programming languages, and knowledge of data visualization tools is important.

Strong communication skills are also needed to convey data-driven insights to non-technical team members.

 

Do Data and Analytics Managers need a degree?

Most Data and Analytics Managers have a degree in mathematics, computer science, statistics, or a related field.

Some roles may require a master’s degree in data science or business analytics.

Relevant work experience in data analysis or data management is typically more important than the specific field of study.

 

What should you look for in a Data and Analytics Manager resume?

Look for a strong background in data analysis, data mining, and data visualization.

Experience with data analysis tools, SQL, and programming languages such as Python or R is desirable.

Additionally, they should have experience in managing teams and projects.

Knowledge of machine learning techniques and predictive modeling is a plus.

Don’t forget to check for a degree in a related field and any relevant certifications.

 

What qualities make a good Data and Analytics Manager?

A good Data and Analytics Manager has a passion for numbers and problem-solving.

They are detail-oriented and have excellent analytical skills, enabling them to make data-driven decisions.

Good managers are also communicative and able to translate complex data into simple, actionable insights.

They are team players who can lead and inspire their team, and have a strong understanding of business operations and strategy.

 

Is it difficult to hire a Data and Analytics Manager?

Finding a skilled Data and Analytics Manager can be challenging due to the specialized nature of the role and the high demand for these professionals.

An attractive compensation package, career development opportunities, and a commitment to using cutting-edge tools and technologies can help attract top talent.

 

Conclusion

And there you have it.

Today, we’ve unlocked the mystery behind the role of a Data and Analytics Manager.

Guess what?

It’s not just about crunching numbers.

It’s about shaping the future of business intelligence, one data point at a time.

Armed with our trusted Data and Analytics Manager job description template and real-world examples, you’re ready to take the next step.

But why halt your progress now?

Dig deeper with our job description generator. It’s your ideal companion for creating precision-tailored job listings or refining your resume to absolute perfection.

Remember:

Every data point tells a story.

Let’s unravel those stories. Together.

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