Data Solutions Analyst Job Description [Updated for 2025]

In the era of data-driven decisions, the role of Data Solutions Analysts has become more crucial than ever.

As technology progresses, the demand for talented professionals who can organize, analyze, and interpret complex data sets to guide business strategies is growing rapidly.

But let’s delve deeper: What exactly is expected from a Data Solutions Analyst?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager drafting the perfect candidate profile,
• Or simply curious about the world of data analysis,

You’ve come to the right place.

Today, we present a customizable Data Solutions Analyst job description template, designed for easy posting on job boards or career sites.

Let’s dive right in.

Data Solutions Analyst Duties and Responsibilities

Data Solutions Analysts use analytical, programming and problem-solving skills to develop and implement data management systems that meet the needs of the organization.

They are involved in the full data lifecycle, from data collection and processing to analysis and reporting.

Their duties and responsibilities include:

• Working with stakeholders to understand their data requirements and translating these into technical specifications
• Designing and implementing data solutions, including databases, data warehouses, data lakes, and data marts
• Developing and maintaining ETL (Extract, Transform, Load) processes to facilitate data collection, processing, and storage
• Ensuring data quality through validation, testing, and cleaning processes
• Creating and managing data models and schemas
• Developing strategies for data backups, recovery, and archiving
• Ensuring data privacy and security by implementing appropriate measures and protocols
• Assisting in data analysis and reporting, and supporting the development of data-driven decision-making processes
• Maintaining documentation for data systems, processes, and procedures
• Staying updated with the latest industry trends and technologies to improve data solutions

 

Data Solutions Analyst Job Description Template

Job Brief

We are seeking a meticulous and experienced Data Solutions Analyst to interpret data and turn it into information which can offer ways to improve our business, thus affecting business decisions.

Responsibilities will include conducting thorough data analysis, aiding the management team with decision-making processes by providing meaningful reports, and developing, implementing, and maintaining leading-edge analytic systems.

Our ideal candidates are detail-oriented, analytical thinkers with excellent communication skills, and have a solid understanding of data analysis techniques and data system design.

 

Responsibilities

• Gather and interpret data, analyze results using statistical techniques and provide ongoing reports
• 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
• 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
• Design, construct, install, test and maintain data management systems
• Ensure all systems meet the business/company requirements as well as industry practices
• Integrate new systems with existing ones

 

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 Solutions Analyst
• 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 Data Solutions Manager or Data Management Director.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $78,000 minimum to $138,000 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 Solutions Analyst Do?

Data Solutions Analysts usually work in business or technology sectors, where they play a crucial role in managing, interpreting, and utilizing data to help businesses make informed decisions.

They can work both in-house or as a part of IT or consulting firms.

They collaborate closely with other data professionals like Data Scientists, Data Engineers, and Business Analysts to collect, clean, and validate data for accuracy, consistency, and completeness.

Their main job is to analyze and interpret complex data sets and convert them into information that can help businesses improve their strategies, processes, and decision-making.

They are also responsible for designing and maintaining databases and data systems, ensuring data integrity, and implementing security measures to protect the data.

Data Solutions Analysts often use statistical tools and software to perform quantitative analysis, predictive modeling, and data mining.

They create visual representations of data and prepare reports to present their findings to stakeholders or clients.

In addition, they may also be tasked with identifying opportunities to automate processes and optimize data solutions to improve efficiency and accuracy.

They are also responsible for staying up-to-date with the latest industry trends and technologies in data analysis and management.

 

Data Solutions Analyst Qualifications and Skills

Data Solutions Analysts use a mix of technical and soft skills to understand, analyze, and solve data-related problems.

The qualifications and skills required for this role include:

• Strong understanding of data structures, databases and data modeling, with ability to design and implement data solutions.
• Proficient in SQL and other database technologies to manage and manipulate data.
• Strong analytical skills to interpret complex data and convert it into understandable and actionable information.
• Familiarity with data analysis tools such as Python, R or SAS, and data visualization tools like Tableau or PowerBI.
• Excellent problem-solving skills to identify and address issues related to data quality, integration, and consistency.
• Strong communication and presentation skills to explain data insights to both technical and non-technical stakeholders.
• Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
• Understanding of data privacy and security regulations.
• Bachelor’s or master’s degree in computer science, data science, statistics, or a related field.

 

Data Solutions Analyst Experience Requirements

Data Solutions Analysts typically need to have a bachelor’s degree in computer science, data science, mathematics, or a related field.

This foundational educational background sets the stage for the experience requirements in this role.

Entry-level candidates for a Data Solutions Analyst position might have 1 to 2 years of experience, often attained through internships, research assistantships, or part-time roles involving data analysis or data management.

They may also gain essential experience in roles such as Data Analyst, Data Scientist, or Database Administrator.

Candidates with between 3 to 5 years of experience often have worked full-time in roles like Data Analyst or Business Intelligence Analyst, where they have developed their skills in handling large datasets, using data analysis tools, and building or maintaining databases.

Those with more than 5 years of experience are usually considered senior and may have experience leading projects or teams.

They may have also accumulated specialized knowledge in certain sectors or with specific types of data or analysis tools.

These professionals are typically ready for more advanced roles within the data solutions field.

Some employers may look for Data Solutions Analysts with specific certifications such as Certified Data Management Professional (CDMP) or Certified Analytics Professional (CAP).

These certifications demonstrate a candidate’s commitment to the field and their proficiency in it.

 

Data Solutions Analyst Education and Training Requirements

Data Solutions Analysts usually have a bachelor’s degree in data science, computer science, information systems, or a related field.

Proficiency in database languages such as SQL, data visualization tools like Tableau, and programming languages such as Python or R, is necessary.

Further, a strong foundation in statistics, data analysis, and data modeling is required.

They should be able to extract, interpret and analyze data to drive successful business solutions.

For advanced roles, employers may prefer candidates with a master’s degree in data science or business analytics.

Some Data Solutions Analysts may also obtain certifications in specific data analysis tools or methodologies, which showcase their specialization and commitment to the field.

Continued education and training are necessary due to the ever-evolving landscape of data technology and best practices.

This will not only help them stay updated but also increase their chances of advancement within their career.

 

Data Solutions Analyst Salary Expectations

A Data Solutions Analyst can expect to earn an average salary of $75,000 (USD) per year.

However, the salary range can significantly vary based on factors such as the level of experience, specialized skills, industry, and geographical location.

 

Data Solutions Analyst Job Description FAQs

What skills does a Data Solutions Analyst need?

A Data Solutions Analyst should possess a strong combination of analytical skills, attention to detail, and problem-solving abilities.

They need to understand and work with complex data, draw meaningful insights, and develop solutions to address data-related issues.

Additionally, they should be proficient in data management tools and languages such as SQL, Python, or R.

 

Do Data Solutions Analysts need a degree?

Most Data Solutions Analysts have a bachelor’s degree in Data Science, Computer Science, Statistics, or a related field.

However, proven experience and skills in data analysis and problem-solving can also be valuable.

Some organizations may prefer candidates with a master’s degree or higher, especially for more complex or senior roles.

 

What should you look for in a Data Solutions Analyst resume?

In a Data Solutions Analyst resume, you should look for a combination of educational qualifications in a relevant field and practical experience with data analysis.

Certifications in SQL, Python, R, or other data management tools are a plus.

Look for evidence of problem-solving skills, such as projects where the candidate identified and addressed data-related issues.

 

What qualities make a good Data Solutions Analyst?

A good Data Solutions Analyst is meticulous and detail-oriented, with a keen analytical mind.

They can identify patterns and discrepancies in data and develop effective solutions.

They should also be good communicators, able to explain complex data-related issues and solutions to non-technical team members.

Curiosity and a drive to continually learn and adapt to new data technologies and methodologies are also important qualities.

 

Is it difficult to hire Data Solutions Analysts?

The demand for Data Solutions Analysts is high due to the increasing importance of data in business decision making.

However, finding candidates with the right balance of technical skills, problem-solving abilities, and communication skills can be a challenge.

Offering a competitive salary, opportunities for learning and development, and a positive work environment can attract quality candidates.

 

Conclusion

There you have it.

Today, we’ve uncovered the true essence of being a Data Solutions Analyst.

Guess what?

It’s not just about crunching numbers.

It’s about crafting a data-driven future, one data solution at a time.

With our ready-to-use Data Solutions Analyst job description template and real-world examples, you’re primed to make your move.

But, why settle there?

Go beyond with our job description generator. It’s your key to creating precise job listings or fine-tuning your resume to precision.

Remember:

Every data solution is a piece of the larger puzzle.

Let’s craft that future. Together.

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