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

EBRPHA

Housing Data Analyst

Baton Rouge, LA · On-site

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 ...

Partners Southeast

Housing Data Analyst

Baton Rouge, LA · On-site

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 ...

Partners Southeast

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 ...

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

This role will beresponsible for transforming commercial data into actionable insights thatdrive ... The Senior Sales Analyst will own sales performance reporting,pipeline analytics, and marketing ROI ...

Cornerstone Research

Analyst

Baton Rouge, LA

$112K/yr

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

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All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Baton Rouge, LA

Senior Data Analyst information

See Baton Rouge, LA salary details

$43.1K

$77.9K

$106.3K

How much do senior data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior data analyst in Baton Rouge, LA is $77,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $85,100.00 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 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.

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.

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.

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.
More about Senior Data Analyst jobs
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 Senior Data Analyst jobs in Baton Rouge, LA? For Senior Data Analyst jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Senior Data Analyst jobs in Baton Rouge, LA look for? 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:
Senior Data Analyst jobs near you
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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,851 per year, or $37.4 per hour.

Senior Data Center Technical Support Analyst

Hirekeyz Inc

Baton Rouge, LA • On-site

Contractor

Re-posted 26 days ago

Job description

Role: Senior Data Center Technical Support Analyst

Location : Baton Rouge, LA (On-site)

Duration: Long Term Contract

Job Description:

Note : We need candidates who has previous experience in State of LA

The scope of the proposed services will include the following:

  • Network Design and Topology services, including LAN/WAN and Wi-Fi
  • Servers – Design of Tier 1, Tier 2, Tier 3 business needs and workstation management
  • Backup and Recovery Strategy for servers, network devices, and other business critical applications
  • Application rationalization – confirm applications will function in the new server/network environment
  • Strategize network and server migration plans.

Experience and expertise in the following areas are mandatory:

  • Microsoft Hyper-V, VMWare, and/or Citrix XenCenter Virtual Suites
  • Microsoft Windows Server Operating Systems (to include Domain Services)
  • User Profile analysis and migration
  • Desktop and Mobile Device imaging and user transition
  • Data analysis, Application Rationalization, and migration
  • Third party software to be migrated and handled on a case by case basis
  • Cisco Nexus Infrastructure
  • CrowdStrike Endpoint Protection
  • Tanium Endpoint Management
  • Disaster Recovery backup solutions