Entry Level Data Analyst Job Description [Updated for 2025]

In the era of big data, the focus on entry-level data analysts has never been more pronounced.

As the world becomes increasingly data-driven, the demand for skilled individuals who can collect, process, and analyze data grows exponentially.

But let’s delve deeper: What’s truly expected from an entry-level data analyst?

Whether you are:

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

You’re in the right place.

Today, we present a customizable entry-level data analyst job description template, designed for straightforward posting on job boards or career sites.

Let’s dive right in.

Entry Level Data Analyst Duties and Responsibilities

Entry Level Data Analysts are primarily responsible for gathering, analyzing and interpreting data to help their company or clients make informed decisions.

They are involved in collecting data from various sources, and converting it into a format that can be easily analyzed.

They have the following duties and responsibilities:

• Collecting and interpreting data from various sources
• Analyzing results using statistical techniques
• Identifying patterns and trends in data sets
• Working alongside teams within the business or the management to establish business needs
• Defining new data collection and analysis processes
• Preparing reports and visualizing data using tools and software
• Assisting in the creation of data-driven decisions within the business
• Maintaining databases and data systems to ensure data accuracy
• Ensuring data quality and integrity
• Resolving any issues related to data management as identified by regular data auditing

 

Entry Level Data Analyst Job Description Template

Job Brief

We are seeking a motivated Entry Level Data Analyst to join our team.

This role is ideal for recent graduates who are passionate about data and want to learn more about data analysis and interpretation.

The Entry Level Data Analyst will be responsible for collecting and interpreting data, analyzing results, and providing ongoing reports.

The successful candidate will also assist in developing data collection systems and other strategies that optimize statistical efficiency and data quality.

 

Responsibilities

• Collect, interpret and analyze data in order to help improve decision making
• Filter and clean data by reviewing reports, printouts, and performance indicators
• Develop and implement data collection systems that optimize data quality
• Verify data by comparing it to source documents
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

 

Qualifications

• A degree in Mathematics, Economics, Computer Science, Information Management or Statistics
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Knowledge of data collection, analysis, data presentation and other strategies
• Knowledge of statistical applications like SPSS and SAS is an advantage
• Knowledge of programming languages like Python or Java is a plus
• Strong verbal and written communication skills
• Able to work in a fast-paced environment

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Training and development programs

 

Additional Information

• Job Title: Entry Level Data 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 Analysis Manager or Lead Data Analyst.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $45,000 minimum to $65,000 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 an Entry Level Data Analyst Do?

Entry Level Data Analysts are usually employed by corporations, businesses, or governmental entities where they work under the supervision of senior data analysts or data scientists.

Their primary responsibility is to collect, process, and perform statistical analysis of data.

They design and maintain data systems and databases, including fixing coding errors and other data-related problems.

Their work involves mining data from primary and secondary sources, then reorganizing that data in a format that can be easily read and understood.

Entry Level Data Analysts may also be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports.

They develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality.

They work closely with management to prioritize business and information needs, and they are often tasked with identifying, analyzing, and interpreting trends or patterns in complex data sets.

In addition, Entry Level Data Analysts may be responsible for creating data dashboards, graphs, and visualizations, providing sectors and teams with access to the data they need to make decisions.

Their role is essential in making raw data meaningful and contributive to business strategies and objectives.

 

Entry Level Data Analyst Qualifications and Skills

An Entry Level Data Analyst should have the skills and qualifications that align with your job description, such as:

• Strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Proficiency in databases, reporting packages (Business Objects etc), programming (XML, Javascript, or ETL frameworks), and MS Office
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong written and verbal communication skills to effectively present data-driven insights to non-technical team members and stakeholders
• Problem-solving skills to address any issues that may arise during data analysis and interpretation
• Understanding of data privacy standards and regulations
• Ability to work in a team setting and collaborate with colleagues on data collection and analysis projects
• Time management skills to balance multiple projects and deadlines simultaneously
• Basic understanding of data warehousing and ETL techniques

 

Entry Level Data Analyst Experience Requirements

Entry-level data analysts are typically expected to have 0 to 2 years of experience in a related field, often acquired through internships, part-time roles, or relevant academic projects.

They may have gained experience in roles like data management assistant, database intern, or research assistant, where they learned to interpret, analyze and present data.

Candidates should have experience with data analysis tools such as Excel, SQL, and Python.

It is also beneficial if they have experience using data visualization tools like Tableau or PowerBI.

Those who have more experience may have held roles that required them to clean and preprocess data, conduct statistical analysis, or create detailed data reports.

They may also have experience in implementing data-driven solutions to business problems.

Candidates with more than 2 years of experience often have a well-developed understanding of data structures and databases.

They may have a background in computer science, mathematics, statistics, or a related field, and may have developed their technical skills and knowledge in a data analyst or related role.

Those with more than 3 years of experience may have undertaken some leadership roles and may be ready for a more senior data analyst role or team-lead position.

They may also have advanced skills in big data platforms and tools like Hadoop, Hive, or Spark.

 

Entry Level Data Analyst Education and Training Requirements

An Entry Level Data Analyst typically requires a bachelor’s degree in data science, statistics, mathematics, economics, computer science or a related field.

In addition to the degree, they should have a solid understanding of data analysis tools and databases like SQL, spreadsheet software such as Microsoft Excel, and programming languages such as Python or R.

Courses that develop analytical skills, including statistics, data interpretation, and data visualization, are extremely valuable.

A strong foundation in mathematics is also beneficial.

Some roles may require a master’s degree in a related discipline, particularly for more specialized roles.

Although not a requirement, some Data Analysts choose to pursue advanced degrees or certifications to deepen their knowledge and expertise.

Certifications, such as the Certified Analytics Professional (CAP) or Microsoft Certified: Azure Data Scientist Associate, are not required but can provide proof of a candidate’s skills and dedication to the field.

Moreover, soft skills such as problem-solving, critical thinking, and excellent communication are important as they are often required for interpreting and presenting data findings effectively to both technical and non-technical team members.

 

Entry Level Data Analyst Salary Expectations

An Entry Level Data Analyst can expect to earn an average salary of $60,000 (USD) per year.

The actual earnings can fluctuate based on factors like geographic location, relevant prior experience, and the specific industry of employment.

 

Entry Level Data Analyst Job Description FAQs

What is the difference between a Data Analyst and a Data Scientist?

While both roles work with data, the main difference is what they do with it.

A Data Analyst typically cleans, interprets, and visualizes data to help companies make strategic decisions.

A Data Scientist, on the other hand, designs and constructs new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

 

What are the daily duties of an Entry Level Data Analyst?

On a typical day, an Entry Level Data Analyst may start by checking and responding to emails concerning ongoing projects or tasks.

They usually spend a good portion of their day cleaning and prepping data for analysis.

They also run analysis using various statistical methods, create visualization of the data and provide reports or presentations to the team and management.

They may also attend meetings to understand data requirements for new projects.

 

What skills does an Entry Level Data Analyst need?

An Entry Level Data Analyst should have strong analytical skills, enabling them to interpret complex data sets.

They should be proficient in SQL, Microsoft Excel and data visualization tools like Tableau.

They should have a good understanding of statistical analysis and data mining techniques.

Good communication skills are also important, as they will need to present their findings to both technical and non-technical team members.

 

Do Entry Level Data Analysts need a degree?

Yes, most Entry Level Data Analyst positions require a Bachelor’s degree in fields such as Statistics, Mathematics, Economics, or Computer Science.

Some positions may require a Master’s degree or some knowledge in the specific industry the company operates in.

 

What qualities make a good Entry Level Data Analyst?

A good Entry Level Data Analyst is detail-oriented and enjoys problem-solving.

They are curious and enjoy digging into complex datasets to find insights.

Good Data Analysts also have the ability to communicate their findings clearly and effectively, and they are always willing to learn new techniques and tools that can help them analyze data more effectively.

 

Is it difficult to hire Entry Level Data Analysts?

Like many tech-related roles, the demand for Entry Level Data Analysts is high.

However, finding candidates with the right mix of analytical and communication skills can be challenging.

Many candidates may have the necessary technical skills but lack the ability to present their findings effectively to a non-technical audience, which is a critical skill for this role.

 

Conclusion

There you have it!

Today, we’ve provided an inside look into the dynamic role of an entry-level data analyst.

And guess what?

It’s not just about crunching numbers.

It’s about transforming raw data into meaningful insights, one statistic at a time.

With our handy entry-level data analyst job description template and real-world examples, you’re ready to take the first step.

But why stop there?

Explore further with our job description generator. It’s your next step to creating precise job listings or refining your resume to perfection.

Remember:

Every piece of data tells a story.

Let’s uncover those stories. Together.

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