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Senior Sales Operations Analyst Jobs in Baton Rouge, LA

JM TEST SYSTEMS LLC

Senior Sales Analyst

Baton Rouge, LA · On-site

$80K - $86K/yr

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and ... Work closely with Sales leadership, Marketing, Sales Operations, and Finance to align on metrics ...

Kaizen Lab Inc.

Senior Sales Analyst

Baton Rouge, LA · On-site

$70 - $90/hr

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and ... operations, or a related business analytics role. * Proven track record of driving data-driven ...

New

AWC

Senior Credit Analyst

Baton Rouge, LA

AWC is seeking a highly analytical and business-minded Senior Credit Analyst to join our finance ... Sales; Operations; Customer Service; Accounting; Executive Leadership * Provide guidance to sales ...

AWC, Inc

Senior Credit Analyst

Baton Rouge, LA

AWC is seeking a highly analytical and business-minded Senior Credit Analyst to join our finance ... Sales; Operations; Customer Service; Accounting; Executive Leadership * Provide guidance to sales ...

AWC

Senior Credit Analyst

Baton Rouge, LA · On-site

AWC is seeking a highly analytical and business-minded Senior Credit Analyst to join our finance ... Sales; Operations; Customer Service; Accounting; Executive Leadership * Provide guidance to sales ...

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Senior Sales Operations Analyst information

See Baton Rouge, LA salary details

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$42

$78

How much do senior sales operations analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for senior sales operations analyst in Baton Rouge, LA is $42.20, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $65.58 per hour, depending on experience, location, and employer.

What are some common challenges faced by a senior sales operations analyst, and how can they be addressed?

Senior Sales Operations Analysts often encounter challenges such as managing large volumes of sales data, aligning processes across different teams, and ensuring accurate sales forecasting. To address these, it's important to develop strong analytical skills, maintain clear communication channels with sales, marketing, and finance departments, and stay updated with the latest CRM tools and data visualization technologies. Proactively collaborating with stakeholders and continuously optimizing workflows can help overcome these obstacles and drive better sales performance.

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

To thrive as a Senior Sales Operations Analyst, you need advanced analytical abilities, strong business acumen, and experience in sales operations, often supported by a bachelor’s degree in business or a related field. Proficiency with CRM platforms like Salesforce, data visualization tools such as Tableau or Power BI, and expertise in Excel are typically required. Excellent communication, problem-solving skills, and the ability to collaborate cross-functionally are essential soft skills for this role. These competencies are crucial for optimizing sales processes, providing actionable insights, and supporting strategic decision-making to drive business growth.

What is the difference between Senior Sales Operations Analyst vs Sales Operations Specialist?

AspectSenior Sales Operations AnalystSales Operations Specialist
Required CredentialsBachelor's degree, experience in data analysis, CRM proficiencyBachelor's degree, familiarity with sales tools, basic data skills
Work EnvironmentCorporate sales teams, data-driven roles, cross-functional collaborationSales support teams, administrative tasks, process improvement
Employer & Industry UsageTech, finance, manufacturing, retailSame industries, often entry to mid-level roles
Search & Comparison IntentUnderstanding senior-level responsibilities, career progressionEntry to mid-level sales support roles

The Senior Sales Operations Analyst typically handles advanced data analysis, strategic planning, and process optimization within sales teams, requiring more experience and technical skills. In contrast, a Sales Operations Specialist focuses on supporting sales processes, administrative tasks, and basic data management. Both roles are vital in sales operations but differ in scope and seniority.

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

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

Senior Sales Operations Analyst jobs near you
Infographic showing various Senior Sales Operations Analyst job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $87,779 per year, or $42.2 per hour.

Senior Sales Analyst

JM TEST SYSTEMS LLC

Baton Rouge, LA • On-site

$80K - $86K/yr

Full-time

Re-posted 2 days ago

Job description

We are seeking a Senior Sales Analyst to serve as a keyanalytics resource for our Sales and Marketing teams. This role will beresponsible for transforming commercial data into actionable insights thatdrive revenue growth, improve sales effectiveness, and sharpen our go-to-marketstrategy. The Senior Sales Analyst will own sales performance reporting,pipeline analytics, and marketing ROI analysis - partnering closely with ourChief Revenue Officer and Sales and Marketing leadership. This role will benefitfrom the foundation built by our broader analytics and AI organizations andwill ultimately be responsible for continuing to improve how commercialdecisions are made.
Key Responsibilities
  • Sales Performance Reporting: Own the design, development, and delivery of recurring sales reports and analytics covering revenue by service line, rep-level performance, quota attainment, pipeline health, and customer retention - ensuring Sales leadership has timely, accurate visibility into the results and opportunities.
  • Sales Growth Analysis: Identify revenue growth opportunities by analyzing trends across accounts, segments, geographies, and service lines using both internal and external data sources. Surface patterns in new logo acquisition, churn, wallet share, and cross-sell to help sales teams focus their energy where it matters most.
  • Marketing & Pipeline Analytics: Support the Marketing function with campaign performance analysis, lead source attribution, and digital channel ROI. Partner with Marketing to connect top-of-funnel activity to downstream pipeline and closed revenue, informing how and where to invest for growth.
  • Sales & Marketing Enablement Tools: Build and maintain self-service tools with the help of AI and our software engineers that put actionable data directly in the hands of our Outside Sales Team, Inside Sales, and Marketing. Reduce manual reporting burdens and create scalable tools the commercial team can rely on day-to-day.
  • CRM & Data Integrity: Partner with Data Engineering to ensure CRM data and underlying transaction data are clean, consistent, and structured to support reliable commercial reporting. Flag data quality issues and drive resolution to maintain the integrity of sales analytics.
  • Forecasting & Predictive Insights: Develop and maintain sales forecasting models and apply predictive analytics to identify at-risk accounts, high-potential prospects, and seasonal revenue patterns. Leverage AI and advanced modeling where appropriate to give the commercial team a forward-looking edge.
  • Cross-Functional Collaboration: Work closely with Sales leadership, Marketing, Sales Operations, and Finance to align on metrics definitions, reporting cadences, and analytical priorities. Translate complex findings into clear narratives and recommendations that drive action at the leadership level.
  • Tool and Technology Evaluation: Stay abreast of emerging analytics and AI tools and technologies, recommending and implementing solutions that enhance the company's analytics and commercial capabilities.

Qualifications:
  • Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field (Master's degree preferred).
  • 2+ years of experience in analytics, commercial operations, or a related business analytics role
  • Proven track record of driving data-driven decision-making and building analytics solutions in a fast-paced environment.
  • Proven track record of developing insights that lead to action and positive results
  • Experience implementing AI-driven analytics, machine learning models, or predictive analytics in a business context.
  • Strong proficiency in Claude or other LLM development tools, SQL, R, Excel, PowerPoint.
  • Experience collaborating with Data Engineering teams to design and implement data views.
  • Experience working with CRM platforms (e.g. HubSpot, Salesforce) and familiarity with sales engagement or marketing automation tools (e.g., Apollo.io, Clay, Klaviyo).
  • Excellent communication skills, with the ability to translate complex data and AI insights into clear, actionable recommendations for non-technical stakeholders.
  • Strong project management skills, with the ability to prioritize and manage multiple initiatives simultaneously.
  • General understanding of data governance, data quality, and best practices in analytics.
  • Knowledge of data warehousing concepts and ETL processes.

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