2

Remote Data Transformation Analyst Jobs in Indiana

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and experienced Data Analyst Subject Matter Expert (SME) Contractor Support Lead to provide advanced analytical ...

$66K - $89K/yr

US Remote Interested applicants mustresidein one of the following approvedstates:Arizona,California ... As the Trade CoE Analyst, you'll be a catalyst for digital transformation, ensuring our operations ...

Must be able to work with the remote based BI team, and offshore development team, staying closely ... Data modeler/analyst must have good experience in forms of normalization and transformations of ...

Interest in data preparation, transformation, and automation. Attention to details and strong ... This position is eligible for the Employee Referral Bonus Program- Tier 3 #LI-TL1 #LI-Remote ...

$55K - $74K/yr

US (Remote) Interested applicants mustresidein one of the following approvedstates:Arizona ... Perform change impact assessments across people, process, technology, data, and organizational ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

Microsoft Power BI Tutor

Bloomington, IN ยท Remote

$18 - $40/hr

Skilled at teaching data import, transformation, modeling, and visualization in Power BI. Guides ... Emphasizes translating business questions into analytical visualizations and connects Power BI to ...

next page

Showing results 1-20

Remote Data Transformation Analyst information

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

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

The most popular types of Data Transformation Analyst jobs in Indiana are:

What are popular job titles related to Remote Data Transformation Analyst jobs in Indiana?

For Remote Data Transformation Analyst jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation Analyst jobs in Indiana look for?

The top searched job categories for Remote Data Transformation Analyst jobs in Indiana are:

What cities in Indiana are hiring for Remote Data Transformation Analyst jobs?

Cities in Indiana with the most Remote Data Transformation Analyst job openings:

$105K - $115K/yr

Full-time

Posted 24 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.