1

Sales And Operations Analyst Jobs in Indiana (NOW HIRING)

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 ...

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 ...

$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 ...

As a Business Operations Analyst for Deckers Distribution function, you will provide administrative, financial and analytical support across the various distribution centers in North America ...

next page

Showing results 1-20

Sales And Operations Analyst information

See Indiana salary details

$17

$34

$53

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

As of Jul 20, 2026, the average hourly pay for sales and 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 the key skills and qualifications needed to thrive as a Sales and Operations Analyst, and why are they important?

To thrive as a Sales and Operations Analyst, you need strong analytical skills, a background in business, finance, or supply chain, and proficiency with data analysis. Familiarity with tools such as Excel, SQL, ERP systems, and often certifications in analytics or project management are commonly required. Outstanding communication, attention to detail, and problem-solving abilities help you excel in cross-functional teams and dynamic environments. These skills are crucial for driving data-driven decisions and optimizing sales and operational performance.

What is a Sales and Operations Analyst?

A Sales and Operations Analyst is a professional responsible for analyzing and optimizing the processes that connect a company's sales and operational activities. They collect and interpret data to identify trends, forecast demand, and provide insights that help improve efficiency and profitability. These analysts often work closely with sales, marketing, and supply chain teams to align business strategies and support decision-making. Their work helps ensure that sales targets are met while operational resources are used effectively.

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

A sales operations analyst in the US typically earns between $60,000 and $85,000 annually, with the median around $70,000. Salaries vary based on experience, location, and company size, and the role often requires proficiency in CRM tools and data analysis skills.

What does a sales operations analyst do?

A sales operations analyst supports a company's sales team by analyzing sales data, developing reports, and optimizing sales processes. They often use tools like CRM software and data analysis platforms to improve sales efficiency and ensure accurate forecasting and performance tracking.

How does a Sales and Operations Analyst typically collaborate with cross-functional teams to drive business performance?

Sales and Operations Analysts regularly work with sales, marketing, finance, and supply chain teams to align operational strategies with business goals. They gather and analyze data from various departments to identify trends, forecast demand, and recommend process improvements. Effective collaboration often involves leading meetings, presenting actionable insights, and ensuring all stakeholders are informed about changes that may impact sales or operational efficiency. Building strong relationships and clear communication are key to successfully influencing cross-functional initiatives and driving overall business performance.

What does an operations analyst do?

An operations analyst evaluates and improves business processes to increase efficiency and effectiveness. They analyze data, develop reports, and recommend solutions to optimize operations, often using tools like Excel or data management software. Their work supports decision-making and helps streamline organizational workflows.

Is a sales analyst a stressful job?

A sales analyst role can be stressful due to the need to meet sales targets, analyze large data sets, and support decision-making under tight deadlines. The job often requires strong organizational skills, attention to detail, and proficiency with tools like Excel or CRM software, which can contribute to workload pressure. However, stress levels vary depending on the company, industry, and individual workload management.
What are popular job titles related to Sales And Operations Analyst jobs in Indiana? For Sales And Operations Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Sales And Operations Analyst jobs in Indiana look for? The top searched job categories for Sales And Operations Analyst jobs in Indiana are:
What cities in Indiana are hiring for Sales And Operations Analyst jobs? Cities in Indiana with the most Sales And Operations Analyst job openings:
Infographic showing various Sales And Operations Analyst job openings in Indiana as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $72,099 per year, or $34.7 per hour.
Sales Operations Analyst

Contractor

Re-posted 17 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.
apply for this job