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Remote Data Extraction Jobs in Indiana (NOW HIRING)

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Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

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

The most popular types of Data Extraction jobs in Indiana are:

Infographic showing various Remote Data Extraction job openings in Indiana as of August 2026, with employment types broken down into 60% Full Time, 22% Part Time, and 18% Contract. Highlights an 100% Remote job distribution.

$105K - $115K/yr

Full-time

Posted 21 days ago


Job description

Job Title:
Sr. Systems Analyst
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is hiring a Sr. Systems Analyst to join our growing team!
The Sr. Systems Analyst-Integrations is an individual contributor responsible for designing, implementing, and optimizing data integrations across the Renaissance's insurance ecosystem.
This role serves as the bridge between business stakeholders, external partners (brokers, vendors, benefits technology platforms), and engineering teams. This individual is responsible for the end-to-end integration lifecycle, including requirements gathering, data mapping, solution design, testing, and ongoing optimization.
The ideal candidate brings deep expertise in benefits systems and EDI including industry standard file formats (ie 837, flat files, etc) as well as modern API-based integrations. Furthermore, this individual must have a demonstratable forward-looking mindset toward process automation and AI-enabled integration strategies.
What will this role entail?
  • Own the design, setup, and optimization of EDI and API integrations- bridging business needs and technical solutions across Renaissance's benefits technology platforms ecosystem.
  • Partner closely with offshore engineering teams to coordinate development efforts, including feature delivery, issue resolution, and sprint planning.
  • Prioritize critical production issues and bug fixes, ensuring timely resolution and minimal disruption to benefits technology platforms system performance and integration operations.
  • Define data mapping, transformation rules, and data validation logic. Identify opportunities to leverage AI for data mapping automation, error detection, and issue resolution.
  • Coordinate and execute test cycles, validation, and go-live readiness.
  • Lead root causes analysis and implement corrective action while keeping technical and business stakeholders informed.
  • Identify inefficiencies and drive improvements to drive automation, reduce errors, improve processing time, and simplify workflows.
  • Act as a subject matter expert for integrations including current and future functionality as well as benefits technology platforms system dependencies.
  • Perform other related duties as assigned.

Minimum Requirements:
  • Bachelor's degree in Data Science, Information Technology, or a related field preferred.
  • 8-10 years of experience with EDI integrations, preferably in healthcare, benefits, or insurance.
  • Experience working with benefits technology or benefits administration platforms.
  • Strong communication, troubleshooting, and problem-solving skills, with the ability to translate business needs into technical solutions.
  • Ability to work independently as a senior individual contributor in Agile delivery environments.
  • Experience with AI, automation, and data transformation tools preferred.

Technical Qualifications
  • Strong SQL experience and ability to work with complex relational databases; MQL and JSON experience preferred.
  • Experience with EDI/API integrations, data mapping, transformation rules, validation logic, and troubleshooting.
  • Familiarity with benefits administration systems such as Employee Navigator, EIS, or similar platforms.
  • Experience with integration, ETL, mapping, workflow automation, or API testing tools such as Altova, Alteryx, Boomi, MuleSoft, Azure Integration Services, Power Automate, Zapier, Postman, or similar tools.
  • Experience with Power BI, MongoDB, Copilot, Claude, or other AI-enabled productivity tools preferred.

Base Salary Range: $105,000-115,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.