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Data Analytics Sales Jobs in Indiana (NOW HIRING)

PadSplit

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 ...

Motorola

Track product performance across business segments, industry, and GTM channels, and recommend and implement responsive actions for Sales Leadership. * Data Analytics & Reporting: Gather, analyze, and ...

DwyerOmega

Director, Data Engineering

Michigan City, IN · On-site

You will be responsible for integrating complex operational data with high-velocity sales and ... Oversee the transition from legacy BI tools to modern, self-service analytics platforms, ensuring ...

Knauf Insulation

Sales Excellence Intern

Indianapolis, IN · On-site

$14.25 - $19.25/hr

We are seeking a detail-oriented and analytical Sales Excellence Intern to support our commercial team by improving the quality, accuracy, and usability of data within our CRM (Salesforce) system.

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

Design, develop, update, and integrate high-quality, data analytics solutions based on client ... sales/marketing efforts. * Coach and mentor other staff members in area of expertise.

OPENLANE

Marketing Analytics Manager

Carmel, IN

$100K - $120K/yr

You possess an exceptional ability to communicate complex marketplace data to Sales Operations and ... Analyze the effectiveness of Web/SEO, SMS, and Email in moving users through the marketplace funnel.

OPENLANE

Marketing Analytics Manager

Carmel, IN · On-site +1

$100K - $120K/yr

You possess an exceptional ability to communicate complex marketplace data to Sales Operations and ... Analyze the effectiveness of Web/SEO, SMS, and Email in moving users through the marketplace funnel.

Dorman Products

Commercial Analyst

Madison, IN · On-site

Partner with Sales, Product, and Ecommerce teams to prioritize and act on findings Pricing Analysis ... Bachelor's degree in Business Analytics, Finance, Economics, Data Analytics, or a related field * 2 ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ...

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All JobsData Analytics Sales JobsData Analytics Sales Jobs in Indiana

Data Analytics Sales information

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How much do data analytics sales jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics sales in Indiana is $31.82, according to ZipRecruiter salary data. Most workers in this role earn between $24.71 and $40.24 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data Analytics Sales professionals can enter the field at any age, and age is not a barrier to developing skills in data science. Success depends on acquiring relevant knowledge, such as programming languages like Python or R, and gaining experience through projects or certifications, regardless of age.

What are the typical daily responsibilities of someone in a Data Analytics Sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What does a sales data analyst do?

A sales data analyst examines sales data to identify trends, patterns, and insights that can inform business decisions. They use tools like Excel, SQL, or data visualization software to analyze large datasets, generate reports, and support sales strategies. Strong analytical skills and knowledge of sales processes are essential for this role.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and communicating findings. The role is evolving to include skills in machine learning, data visualization, and domain expertise, rather than being fully replaced by AI.

Is data analytics good for sales?

Data analytics is valuable for sales roles as it helps identify customer trends, optimize sales strategies, and improve decision-making. Skills in tools like Excel, SQL, or Tableau enhance a data analyst's ability to support sales teams effectively.

What are the key skills and qualifications needed to thrive in the Data Analytics Sales position, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What is a Data Analytics Sales job?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

What are popular job titles related to Data Analytics Sales jobs in Indiana? For Data Analytics Sales jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analytics Sales jobs in Indiana look for? The top searched job categories for Data Analytics Sales jobs in Indiana are:
Data Analytics Sales jobs near you
Infographic showing various Data Analytics Sales job openings in Indiana as of June 2026, with employment types broken down into 1% Internship, 49% Full Time, 43% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $66,184 per year, or $31.8 per hour.
Sales Operations Analyst

Sales Operations Analyst

PadSplit

Contractor

Posted 10 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. 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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