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Remote Entry Level Data Analyst Jobs in Indiana (NOW HIRING)

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We are seeking experienced Data Analysts to transform raw data into actionable insights. This role ...

$63K - $111K/yr

Summary We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you ... This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a ...

$39.75 - $54.75/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

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Remote Entry Level Data Analyst information

See Indiana salary details

$12

$31

$58

How much do remote entry level data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote entry level data analyst in Indiana is $31.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.14 and $35.00 per hour, depending on experience, location, and employer.

How to get a job as a data analyst with no experience?

To secure an entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or participating in internships to demonstrate your ability to analyze data and communicate insights effectively.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

How to make $2000 a week working from home?

A remote entry-level data analyst can increase earnings by gaining skills in data visualization, SQL, and Excel, and by taking on multiple freelance or contract projects. Earning $2000 weekly typically requires working full-time hours, building a strong portfolio, and possibly obtaining relevant certifications to attract higher-paying opportunities.

Is it possible to get a remote job as a data analyst?

Yes, remote entry-level data analyst positions are widely available, especially as many companies adopt flexible work arrangements. These roles typically require skills in data visualization, SQL, and Excel, and often involve using tools like Tableau or Power BI. Candidates should have a basic understanding of data analysis concepts and may need to demonstrate proficiency through assessments or certifications.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to make $1000 a week remote?

A remote entry-level data analyst can aim to earn $1000 weekly by working multiple part-time or freelance projects, leveraging skills in Excel, SQL, or data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to multiple clients or companies can increase earning potential, especially when working consistently and efficiently.
What are the most commonly searched types of Remote Data Analyst jobs in Indiana? The most popular types of Remote Data Analyst jobs in Indiana are:
What cities in Indiana are hiring for Remote Entry Level Data Analyst jobs? Cities in Indiana with the most Remote Entry Level Data Analyst job openings:
Infographic showing various Remote Entry Level Data Analyst job openings in Indiana as of July 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 2% Hybrid, and 98% Remote job distribution, with an average salary of $65,170 per year, or $31.3 per hour.
Data Analyst

Data Analyst

Mater Dei Catholic High School

Indianapolis, IN • On-site, Remote

Full-time

Medical, Retirement

Posted 13 days ago


Job description

Position Open Only to Americans: Data Analyst

remote (based in the US).

Regarding ourselves: we wish to transform industries by using data's power. Every statistic tells a story, and we are looking for a Data Analyst who can find those tales, expose latent trends, and offer intelligent, fact-based recommendations to bolster our company decisions. We might be seeking for you if you are a data analyst with an analytical mind that enjoys a good challenge and loves to organize things.

Your duties:

Exensive data analysis helps one find trends, anomalies, and patterns that might be turned into insightful knowledge. Translating intricate data sets into practical insights will help you make important business decisions.

Design and present visually striking dashboards, reports, and presentations using data to tell gripping narratives. Let our group "see" the future with sensible, easily understood images.

Cooperation is absolutely necessary. Working with different departmentsmarketing, finance, operations, etc.you will learn their needs and then offer data-based insights that affect corporate performance.

By exposing trends that will show up in the future, predictive modeling can enable our teams to keep one step ahead of the competition.

Look at ways we may improve our analytical tools, data management systems, and policies. Simplify processes to guarantee correct and fast data.

Work directly with top leadership to handle challenging ad hoc analysis projects and address urgent business concerns as they develop utilizing data in real time.

Could you please clarify what we actually need?

Candidates have to be found in America.

Your analytical thinking drives you to enjoy challenging sets and adore solving problems. You see trends and patterns others would overlook rather clearly.

Relevant Work Experience: For at least two years, you should have been employed as a statistician, data analyst, or related field practitioner.

technically adept; conversant in Excel, R, Python, SQL, etc., data analytics tools. One perk is being able to employ visual aids as Looker, Power BI, or Tableau.

With the correct set of communication skills, mountains of unprocessed data can become actionable insights everyone on your teamincluding C-suite executivescan grasp.

Your insatiable questions push you to hunt "what's the story behind this data" and "how can I use this information to make a difference?"

Methodical: Before drawing any conclusions, you search for little discrepancies and verify all datasets for accuracy.

Our Reasons for Your Contentment in Hiring Our Team

Work from any US location and keep a good work-life balance.

Here you can develop professionally, have access to innovative tools, and refine your abilities in a motivating surroundings.

Help a vibrant, cooperative team that celebrates fresh ideas, many points of view, and teamwork succeed.

Leverage a generous pay and benefits package covering wellness, retirement, and healthcare.

Impact: Your effort directly determines the company's course of development. The strategic choices taken will be much influenced by you.

Techniques of Application: Are you ready to find the truth and propel transformation? The possible worth of your skills interests us and we would want further information about them. Together with a brief cover letter summarizing your experience using statistics to solve problems and why you would be a value to our team, kindly include your resume.

Attention: Only US candidates are qualified for this post.