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Sales Operations Analyst Jobs in Indiana (NOW HIRING)

PadSplit

PadSplit is looking for a Sales Operations Analyst to optimize the efficiency and effectiveness of our top-of-funnel sales operations, with a primary focus on supporting the SDR team. This role is ...

Microscreen, LLC

Operations Analyst

South Bend, IN · On-site

You'll sit at the center of our operation -- supporting executive decision-making, managing critical projects across engineering, sales, and operations, driving data analysis that shapes strategy ...

Motorola

$75K - $85K/yr

As a Business Analyst within our VS&A Sales Operations Team, you will act as the operational engine of our delivery lifecycle, bridging the gap between initial intake, requirements grooming, and ...

OPENLANE

Revenue Operations Analyst

Carmel, IN

$70K - $95K/yr

Sales Team Performance Management: Build and maintain reporting frameworks, scorecards, and ... Operations, Business Analytics, or a related field. * Strong analytical and technical skills ...

Evolv

Be Seen First

Sales Operations Specialist

Evansville, IN · On-site

$55K - $60K/yr

Sales Operations Coordinator (In-Office) -- Newburgh, IN The Opportunity Evolv is hiring a Sales Operations Coordinator to keep our sales engine organized, accountable, and moving. This role sits at ...

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Sales Operations Analyst information

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$34

$53

How much do sales operations analyst jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for sales operations analyst in Indiana is $34.66, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $40.96 per hour, depending on experience, location, and employer.

What are Sales Operations Analysts?

Sales Operations Analysts are professionals who support an organization’s sales team by analyzing data, optimizing processes, and providing strategic insights. They handle tasks such as managing sales data, developing reports, forecasting sales trends, and improving sales processes to increase efficiency and effectiveness. Their work helps sales teams make informed decisions, set realistic targets, and identify opportunities for growth. By bridging the gap between sales, marketing, and operations, they play a crucial role in driving revenue and organizational success.

How does a Sales Operations Analyst typically collaborate with sales teams and other departments?

Sales Operations Analysts work closely with sales teams to streamline processes, provide actionable insights through data analysis, and ensure that sales targets are supported by efficient systems. They often act as a bridge between sales, marketing, and finance departments, facilitating effective communication and alignment on key initiatives. Regular collaboration may involve participating in strategy meetings, generating performance reports, and supporting the implementation of new tools or processes. This cross-functional interaction helps drive productivity and ensures that all teams are working towards common business goals.

What are the key skills and qualifications needed to thrive as a Sales Operations Analyst, and why are they important?

To thrive as a Sales Operations Analyst, you need strong analytical skills, attention to detail, and a background in business, finance, or a related field, often supported by a bachelor’s degree. Familiarity with CRM software (such as Salesforce), data visualization tools (like Tableau), and advanced Excel skills are typically required. Excellent communication, problem-solving abilities, and adaptability help you collaborate across teams and respond to shifting priorities. These skills are vital for optimizing sales processes, providing actionable insights, and driving overall sales effectiveness.

How much does a sales operations analyst make in the US?

The average salary for a sales operations analyst in the US is approximately $65,000 to $85,000 per year, depending on experience, location, and company size. Entry-level roles typically start around $55,000, while experienced analysts can earn over $100,000 with specialized skills in data analysis and CRM tools.

What is a sales operations analyst?

A sales operations analyst is responsible for supporting a company's sales team by analyzing sales data, optimizing processes, and implementing tools to improve sales performance. They often work with CRM systems, generate reports, and collaborate with sales and marketing teams to drive efficiency and revenue growth.

What does an operations analyst do?

A sales operations analyst supports sales teams by analyzing data, optimizing processes, and implementing tools to improve sales performance. They often work with CRM systems, generate reports, and identify opportunities for efficiency and growth to help achieve sales targets.

What Does a Sales Operations Analyst Do?

A sales operations analyst works with sales teams to provide data on sales reports for their business or organization. Their job duties include creating sales reports, administering incentive-based compensation programs, and managing customer relationships. The qualifications to be a sales operations analyst include a high school diploma, although many employers prefer a post-secondary degree in business or a related field. Additional career qualifications include analytical and report skills and sales experience.

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

AspectSales Operations AnalystSales Analyst
Primary FocusOptimizing sales processes, data management, and supporting sales teamsAnalyzing sales data, forecasting, and identifying sales trends
Required SkillsData analysis, CRM tools, process improvement, reportingData analysis, sales metrics, reporting, market research
Work EnvironmentCross-functional teams, sales support, operations departmentsSales teams, marketing, business intelligence
Common CertificationsCRM certifications, data analysis certificationsSalesforce certifications, data analysis certifications

While both roles involve data analysis and support for sales, the Sales Operations Analyst focuses on streamlining processes and managing sales data, whereas the Sales Analyst primarily analyzes sales performance and forecasts sales trends. Understanding these differences helps in choosing the right career path or hiring the appropriate candidate.

What skills do you need to be a sales operations analyst?

A sales operations analyst needs strong analytical skills, proficiency with CRM and data management tools, and the ability to interpret sales data to support decision-making. Good communication, problem-solving abilities, and knowledge of sales processes are also essential for success in this role.
More about Sales Operations Analyst jobs
What are the most commonly searched types of Sales Operations Analyst jobs in Indiana? The most popular types of Sales Operations Analyst jobs in Indiana are:
What are popular job titles related to Sales Operations Analyst jobs in Indiana? For Sales Operations Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Sales Operations Analyst jobs in Indiana look for? The top searched job categories for Sales Operations Analyst jobs in Indiana are:
What are popular job titles related to Sales Operations Analyst jobs in IN? For Sales Operations Analyst jobs in IN, the most frequently searched job titles are:
Sales Operations Analyst jobs near you
Infographic showing various Sales Operations Analyst job openings in Indiana as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,099 per year, or $34.7 per hour.

Sales Operations Analyst

PadSplit

On-site

Contractor

Re-posted 28 days ago

Job description

PadSplit is a pioneering real estate platform operating in the shared housing industry, committed to providing affordable housing accommodations for low-income earners. We are dedicated to helping solve the affordable housing crisis while leveraging housing as a vehicle for financial empowerment for our members. Our principles are Care, Show it, Prove it, and we've been proving it through our actions since 2018.

We are on a mission to change the world - one room at a time.  Join us!

Learn more about PadSplit here

The Role We Need:
 
PadSplit is looking for a Sales Operations Analyst to optimize the efficiency and effectiveness of our top-of-funnel sales operations, with a primary focus on supporting the SDR team. This role is responsible for improving lead management, attribution, and execution, while translating SDR productivity into measurable pipeline and revenue impact. By analyzing data, streamlining workflows, and providing clear visibility across lead sources and individual contributors, the analyst enables the sales organization to scale efficiently and drive sustainable revenue growth.
 
The Person We Are Looking For:
 
We are seeking a proactive and detail-oriented individual with a strong analytical and operational mindset who thrives in fast-paced, evolving environments. The ideal candidate enjoys working closely with frontline sales teams, excels at using data to identify opportunities and optimize performance, and can clearly connect activity, pipeline, and revenue outcomes. We are looking for someone who is adaptable, self-motivated, and committed to enabling the sales team to operate more effectively and predictably through strong process ownership and data-driven insights.
Here's What You'll Do Day-To-Day:
  • Lead Management Operations: Own lead creation, enrichment, routing logic and SLAs for the SDR team, ensuring leads are accurately attributed, prioritized, and worked efficiently from the moment they enter the funnel.
  • SDR Cadence Operations: Operate, monitor, and optimize SDR cadences to improve contact rates, qualification, and conversion, partnering with SDR leadership to test and iterate on cadence performance.
  • Top-of-Funnel Analysis: Analyze lead conversion and engagement data to identify trends, gaps, and opportunities across sources, segments, and SDRs, translating activity into pipeline and revenue impact.
  • Revenue & Attribution Insights: Translate SDR productivity into pipeline and revenue outcomes, attributing results to lead sources, cadences, and individual contributors to improve performance visibility and accountability.
  • Funnel Visibility & Sales Handoffs: Maintain clear visibility across the Lead Contacted Qualified Sales handoff funnel, identifying friction points and improving handoff quality and conversion to Sales.
  • Productivity & Activity Tracking: Monitor touchpoints, activity levels, and time allocation across the SDR team, identifying productivity patterns that drive stronger revenue outcomes.
  • Reporting & Performance Tracking: Establish and maintain KPIs for SDR performance, funnel health, pipeline, and revenue contribution, delivering regular insights and reports to Sales and RevOps leadership.
  • Cross-Functional Collaboration: Work closely with Marketing, Sales, RevOps, and Systems teams to improve lead flow, data quality, attribution, and overall top-of-funnel performance.
  • Continuous Improvement: Drive a culture of experimentation and optimization by testing new processes, tools, and workflows, leveraging AI-powered solutions and automations to improve SDR productivity and pipeline generation.
Here's What You'll Need To Be Successful:
  • Education: Bachelor's degree in Industrial engineering, Business, Marketing, Finance, or a related field.
  • Sales Ops Experience: 3+ years of experience in sales operations, business analysis, or a related field, preferably within the real estate or tech industry. Experience supporting sales teams operating with a high volume of leads is a plus.
  • Startup Experience: Past experience consulting or contracting for a US-based company, especially a startup is a plus.
  • Analytical Skills: Strong analytical skills with experience in data interpretation and performance metrics.
  • Data Storyteller: Data-driven mindset with the ability to use data to inform decisions and strategies.
  • Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively across teams and with external stakeholders.
  • Independent GSD: Proven ability to independently manage projects and drive initiatives from concept to execution in a structured manner.
  • Real Estate: Knowledge of the housing market / shared housing is a plus.
  • CRM Tools: Proficiency in data analysis tools (e.g., Excel, SQL) and CRM software (we use Salesforce).
  • AI & Automation (Nice to Have): Exposure to AI-powered tools or automation initiatives in sales or operations environments, with an interest in leveraging these capabilities to improve efficiency and data quality
  • English Skills: Fluent in written and spoken English
The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a video screen with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Revenue Ops Lead for forty-five (45) minutes.
  • If warranted, the next step would be a video interview with a small panel of key stakeholders for one-and-a-half (1.5) hours.
  • If warranted, then we move to contract!
$35,000 - $42,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Notice to Applicants:

PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.

PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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