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Remote Data Mining Jobs in Indiana (NOW HIRING)

Munich Re

Data Scientist, AI

Fishers, IN · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Munich Re

Data Scientist, AI

Indianapolis, IN · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

MasTec Inc

Program Analyst

Indianapolis, IN · On-site +1

This position can be remote, or based in one of our main offices. Will travel once per year for ... plants and mining. In infrastructure, we specialize in general heavy civil construction ...

New

MasTec Inc

Program Analyst

Indianapolis, IN · On-site +1

This position can be remote, or based in one of our main offices. Will travel once per year for ... plants and mining. In infrastructure, we specialize in general heavy civil construction ...

New

MasTec Inc

Program Analyst

Indianapolis, IN · On-site +1

This position can be remote, or based in one of our main offices. Will travel once per year for ... plants and mining. In infrastructure, we specialize in general heavy civil construction ...

New

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All JobsData Mining JobsRemote Data Mining JobsRemote Data Mining Jobs in Indiana

Remote Data Mining information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do remote data mining jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote data mining in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Indiana? The most popular types of Data Mining jobs in Indiana are:
What are popular job titles related to Remote Data Mining jobs in Indiana? For Remote Data Mining jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Data Mining jobs in Indiana look for? The top searched job categories for Remote Data Mining jobs in Indiana are:
What cities in Indiana are hiring for Remote Data Mining jobs? Cities in Indiana with the most Remote Data Mining job openings:
Remote Data Mining jobs near you
Infographic showing various Remote Data Mining job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.
Client Services Business Analyst I - Healthcare Data

Client Services Business Analyst I - Healthcare Data

Precision Medicine Group

Indianapolis, IN • Remote

Other

Re-posted 10 hours ago

Job description

***Unfortunately, the Client Services Business Analyst I - Healthcare Data is not able to provide sponsorship now or anytime in the future.***

***This role requires you to be located in the Indianapolis area because this is a hybrid role and requires one a day a week in the office.***

Position Summary: 

The Client Services Analyst will play a critical role in ensuring the successful delivery of services and solutions to our clients.  This position requires a high level of technical expertise along with strong communication skills and a commitment to excellence.  This role will support several clients with oversight from a manager of client services. The ideal candidate will have a strong sense of ownership and accountability, an inquisitive mindset, a background in T-SQL, and the ability to consistently produce high-quality work in a timely manner following a standard process. 

Essential functions of the job include but are not limited to:  

  • Analyze client requirements and translate them into technical specifications. 
  • Ensure the accuracy and integrity of data by conducting thorough quality checks and validations. 
  • Own client jobs making sure they are running smoothly and on-time per established calendar; identify and remediate pain points to continually improve the process. 
  • Collaborate with cross-functional teams to deliver value to our clients every day. 
  • Maintain clear and effective communication with clients, address issues promptly, and provide regular updates. 
  • Respond to and fulfill client tickets and requests in a timely manner with quality. 
  • Contribute to client team meetings for client projects and engagements. 
  • Take accountability for project deliverables, ensuring they meet the established standards and client expectations. 
  • Develop, test, and deploy T-SQL scripts to support various client projects. 
  • Implement advanced ETL processes to acquire and load large datasets. 
  • Follow established procedures and standards as outlined by leadership. 
  • Maintain associated procedural documentation. 
  • Evaluate appropriateness of data for ad hoc requests and client projects. 
  • Contribute code that is well-documented, logical, and easy to follow. 
  • Other duties as assigned. 

Qualifications: 

Minimum Required: 

  • Undergraduate degree 
  • Experience with relational databases 

Preferred:  

  • 1 to 3 years industry experience in either data analytics or healthcare 
  • Evident proficiency and hands-on experience using T-SQL in a Microsoft SQL Server environment. 
  • Descriptive statistics and/or Pharmaceutical/Healthcare industry experience. 
  • Undergraduate degree with a quantitative focus. 

Skills:  

  • Excellent communication skills, both written and verbal, with the ability to convey technical information to non-technical stakeholders. 
  • Strong sense of accountability and ownership for delivering high-quality work. 
  • Exceptional attention to detail, ensuring accuracy and precision in all tasks. 
  • Proficiency in T-SQL with hands-on experience in writing complex queries and scripts. 
  • Effective time management skills and ability to keep multiple projects on schedule. 
  • Experience in a client-facing role or in the pharmaceutical industry is a plus 
  • Ability to work remotely. 
  • Strong problem-solving skills and a proactive approach to identifying and addressing issues within established product boundaries. 
  • Strong team player with the ability to work and execute independently. 
  • Desire for continuous improvement and growth - driven to excel. 
  • Demonstrated proficiency in Microsoft Office product suite including PowerPoint, Word, and Excel. 
  • Experience in SSIS is a plus but not required. 

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