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Senior 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 ...

... to senior leadership. What You'll Do * Strategic Analysis & Decision Support -- Structure open ... Own the "so what," not just the data. * Commercial Growth Strategy -- Identify andquantify revenue ...

... to senior leadership. What You'll Do • Strategic Analysis & Decision Support - Structure open ... Own the "so what," not just the data. • Commercial Growth Strategy - Identify andquantify revenue ...

Robert Half is partnered with a leading Baton Rouge company in search of a Senior Credit Analyst to ... Review financial records, payment patterns, credit data, and market conditions to evaluate customer ...

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Senior Data Analyst information

See Baton Rouge, LA salary details

$52.8K

$95.3K

$130.1K

How much do senior data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior data analyst in Baton Rouge, LA is $95,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $104,200.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

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The most popular types of Data Analyst jobs in Baton Rouge, LA are:

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For Senior Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:

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The top searched job categories for Senior Data Analyst jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Senior Data Analyst jobs?

Cities near Baton Rouge, LA with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $95,285 per year, or $45.8 per hour.

Data Analyst, Senior

Baton Rouge, LA • Hybrid

$67K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Are you looking for a great team environment?  Southern Farm Bureau Casualty Insurance Company is currently seeking a Data Analyst, Senior. 

Southern Farm Bureau is a great company and an excellent place to work. The Company offers a family-oriented work environment and a rich benefit package including paid time off, company matched 401(k), pension/retirement, medical, dental, vision, group life, accidental death and dismemberment, employee assistance program, a continued education program, and a hybrid home/office work schedule.  This position is located in Ridgeland, MS, Baton Rouge, LA, Cayce, SC and Little Rock, AR. 

The Data Analyst, Senior will direct and perform logical data modeling, identify patterns in data, design, analyze and document the enterprise data warehouse and ETL processes supporting it.  This team member actively participates in Data Governance initiatives to support the Enterprise Data Strategy across operational and analytical database environments. This position will work closely with the Data Analyst Lead working close to support the Enterprise Data Warehouse.

Essential Functions

Analyze and mining business data to identify patterns and correlations among the various data points.

Map and trace data within the enterprise data framework in order to solve a given business or system problem.

Design and create marts to support the business intelligence tools and provide data to the end users in support of business decisions.

Perform statistical analysis of the enterprise data.  Extract existing data to manipulate/calculate/format into useful presentations.

Identify and explore opportunities to enhance enterprise analytical databases using knowledge gained from experience and from an understanding of emerging methodologies .

Create and document logical data integration (ETL) strategies for data flows between source/target systems and the Enterprise Data Warehouse.

Perform a variety of in-depth data analysis, data modeling, and data administration tasks on complicated datasets with potentially complex data integration scenarios with limited supervision. 

Establish, maintain, adhere to, and enforce Enterprise Data modeling and Data Integration standards.  

Must support innovations by actively keeping technical and professional business knowledge current on emerging technology and  Data Trends which may fit with enterprise needs.  Must be able to research and accurately articulate benefits and goals of these technologies.

Additional Responsibilities

Regular and predictable attendance is required.

Other duties as assigned.