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Junior Data Analyst Jobs in Baton Rouge, LA (NOW HIRING)

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

Housing Data Analyst

Baton Rouge, LA · On-site

$40K - $60K/yr

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

Job Summary The Housing Data Analyst is responsible for providing financial and data analysis in support of the organization's affordable housing portfolio, with a primary focus on Low-Income Housing ...

Junior Accountant

Baton Rouge, LA · On-site

$40K - $51K/yr

Collaborate with operations, e-commerce, and marketing teams to ensure financial data aligns with ... Analytical thinking and problem-solving ability * Adaptability in a fast-paced, growth-oriented ...

Junior Accountant

Baton Rouge, LA · On-site

$45K - $57K/yr

Collaborate with operations, e-commerce, and marketing teams to ensure financial data aligns with ... Analytical thinking and problem-solving ability * Adaptability in a fast-paced, growth-oriented ...

COUNTY PROGRAM ANALYST

New Roads, LA · On-site +1

$40K - $80K/yr

Utilizing various web-based software applications to maintain producer data and processing ... junior college, college or university in any field in which high school graduation or the ...

... junior college, college or university in any field in which high school graduation or the ... gather pertinent data, and recognize solutions; plan and organize work; resolve conflict ...

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Junior Data Analyst information

See Baton Rouge, LA salary details

$30.2K

$69.4K

$111.6K

How much do junior data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for junior data analyst in Baton Rouge, LA is $69,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $71,300.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

How to get a job as a junior data analyst with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also improve your chances and demonstrate your abilities to employers.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are the most commonly searched types of Data Analyst jobs in Baton Rouge, LA? The most popular types of Data Analyst jobs in Baton Rouge, LA are:
What are popular job titles related to Junior Data Analyst jobs in Baton Rouge, LA? For Junior Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Junior Data Analyst jobs in Baton Rouge, LA look for? The top searched job categories for Junior Data Analyst jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Junior Data Analyst jobs? Cities near Baton Rouge, LA with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $69,431 per year, or $33.4 per hour.

Data Analyst

Louisiana Primary Care Association

Baton Rouge, LA • On-site

$39K - $72K/yr

Full-time

Re-posted 6 days ago


Job description

 Position Title:             Data Analyst
                                    (Fulltime Exempt) 
 
Supervisor:                 Director of Health Information Technology
 
Position Summary:    Manage and coordinate performance data collection, feedback, and reporting for all quality initiatives; Engage members through relevant data reports and comparisons; Provide direct support to health centers in data collection, monitoring the completeness and accuracy of reported data, and ensuring compliance with process and outcome measure definitions.
 
Minimum Qualifications:
  • A Bachelor's degree or an equivalent combination of education and experience and 1 year of experience from which comparable knowledge and skills can be acquired is necessary.

Preferred Qualifications:
  • An advanced degree (Masters) and 2-3 years of experience from which comparable knowledge and skills can be acquired.

Responsibilities:
  • Analyzing and leveraging the collected data
  • Interpreting data
  • Acting as a liaison between clinical and informatics staff teams
  • Developing strategies and best practices to incorporate into future information systems and policies.
  • Manage and coordinate performance data collection, feedback, and reporting for all quality initiatives.
  • Engage members through relevant trend information, data reports and comparisons. 
  • Provide direct support to health centers in data collection, monitoring the completeness and accuracy of reported data, and ensuring compliance with process and outcome measure definitions.
  • Develop and manage data collection methodologies for multiple performance measures to meet the deliverables on all grants/contracts. 
  • Demonstrate an understanding of reporting requirements for all grants and contracts.
  • Aggregate, analyze, and report health center data collection and reporting processes ensuring timely and accurate delivery of reports.
  • Work collaboratively with all program staff, HIE entities, and solutions staff in communicating needs regarding databases and reporting tools.
  • Develop summary reports and presentations demonstrating performance trends. 
  • Maintain knowledge of the Uniform Data Set (UDS) for health centers.
  • Identify and maintain knowledge of state and national benchmark databases including Healthy People 2020, HEDIS, Meaningful Use, PCMH, and HRSA Quality Reporting.
  • Develop and maintain a method to continuously assess a data systems approach for quality of care coordination interventions, which lead to extraction and use of quantitative and qualitative data.
  • Participate in developing reports and/or manuscripts for dissemination and publication.  
  •  Coordinate database that houses all LPCA data measures that include those from HRSA PCA grant, and other grants.
Required Skills:
  • Familiarity with EMR/EHR systems
  • Familiarity with data visualization tools such as Tableau, Power BI etc.
  • At least three years of experience in data analytics, informatics, data management, preferably working with health data.
  • Familiar with UDS standards and reporting  
  • Experience with primary care, clinical quality improvement or outcome measurements.
  • Experience delivering critical data summaries and reports necessary for planning and improvement of processes. 
  • Experience in working with multiple entities to collect data and produce reports. 
  • Experience in collecting, editing, analyzing and charting numerical data.
  • Strong data management and organization skills.
  • Creativity and vision to organize data in meaningful presentation formats to deliver key messages.
  • Ability to organize and manage multiple projects/tasks and meet deadlines.
  • Awareness of the needs of FQHCs, medically underserved populations, demonstrates cultural competence, and shows interest in learning about community-based primary health care systems.