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Remote Analytics Jobs in Indiana (NOW HIRING)

$45K - $55K/yr

The Person We Are Looking For We're looking for someone with 5+ years of analytics experience who ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Do you enjoy data analytics ? Then read on! We are currently seeking a data insights analyst who ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Evaluates analytical work done by others and makes decisions and recommendations that take into ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Showing results 21-40

Remote Analytics information

See Indiana salary details

$57.6K

$117.8K

$166.5K

How much do remote analytics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote analytics in Indiana is $117,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $146,100.00 per year, depending on experience, location, and employer.

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

What is the difference between Remote Analytics vs Remote Data Analyst?

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in Indiana?

The most popular types of Analytics jobs in Indiana are:

What are popular job titles related to Remote Analytics jobs in Indiana?

For Remote Analytics jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Remote Analytics jobs?

Cities in Indiana with the most Remote Analytics job openings:

Infographic showing various Remote Analytics job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $117,850 per year, or $56.7 per hour.

Senior Data Analyst (Fully Remote)

Remote

PadSplit
Real Estate • 51 - 200 employees

$45K - $55K/yr

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

The Role We Need

PadSplit runs on data, from Growth and Operations to Product and Finance, and we need someone who can turn that data into clear, trustworthy decisions. We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting infrastructure, and help shape how the company measures its business. This person will work daily across our modern data stack (Snowflake, dbt, and Hex) to answer high-impact questions and raise the analytical bar across the team.

The Person We Are Looking For

We're looking for someone with 5+ years of analytics experience who is equally comfortable writing expert-level SQL and translating ambiguous business questions into rigorous, well-documented analysis. This person is a strong communicator who can defend their methodology to technical and non-technical audiences alike, and who brings sound judgment about when to lean on AI tools versus when to verify. They're curious, detail-oriented, and take ownership seriously, from scoping a question through to following up on the outcome.

Here's What You'll Be Doing Day-to-Day:
  • SQL & Analysis: Write, optimize, and maintain complex SQL against our Snowflake warehouse to answer business questions accurately and efficiently.
  • dbt Modeling: Build and maintain dbt models that transform raw data into well-documented, tested, and reusable datasets.
  • Dashboards & Reporting: Build dashboards, apps, and reporting in Hex that leaders trust and use to run the business.
  • Stakeholder Partnership: Partner with teams to define metrics, scope analyses, and translate ambiguous questions into clear analytical work.
  • Anomaly Investigation: Investigate anomalies in key metrics, identify root causes, and communicate findings with clear recommendations.
  • Documentation: Maintain documentation across dbt and Hex so metric definitions stay consistent across teams.
  • Data Quality: Validate sources, pressure-test assumptions, and flag gaps before they reach decision-makers.
  • AI-Assisted Work & Mentorship: Use AI tools to accelerate analysis and reporting while verifying outputs, and mentor other analysts on best practices.
Here's What You'll Need to Be Successful:
  • Analytics Experience: 5+ years of experience in data analytics or a closely related field.
  • Expert SQL: Advanced skills in window functions, CTEs, query optimization, and large, complex datasets.
  • Snowflake Expertise: Hands-on experience with Snowflake as a primary data warehouse.
  • dbt Experience: Building and maintaining dbt models in a production analytics environment, including tests and documentation.
  • Hex/Notebook Reporting: Experience building reporting in Hex or a similar notebook-based analytics platform.
  • End-to-End Ownership: A track record of owning analyses from scoping through delivery and follow-through.
  • Strong Communication: Ability to explain technical findings to non-technical audiences and defend your methodology.
  • AI Fluency & Judgment: Working familiarity with AI tools in analytics, paired with sound judgment on when to verify outputs and how to handle sensitive data.
The Interview Process:
  • Your application will be reviewed for possible next steps by a real human being from the PeopleOps team.
  • If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Head of Business Intelligence for forty-five (45) minutes.
  • If warranted, the next step would be an SQL assessment through Coderbyte.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours.
  • If warranted, we move to offer!
Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan 
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis
$45,000 - $55,000 a year
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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