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Remote Data Transformation Analyst Jobs in Indiana

... analytics, AI, and cloud ecosystems. You thrive in client-facing roles, partnering with executives such as CTOs and CDOs to guide enterprise-scale data transformations and platform decisions. You ...

... Analyst to design, implement, and operate data governance processes and master data solutions ... Collaborate with data engineering on ingestion, transformation, and model design aligned to ...

... Analyst to design, implement, and operate data governance processes and master data solutions ... Collaborate with data engineering on ingestion, transformation, and model design aligned to ...

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$104.90K - $155.10K/yr

Configure data migration tools including Syniti ADMM and BODS for data extraction, transformation ... Conduct data profiling and analysis to assess data quality and identify issues prior to migration.

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 ...

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 ...

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 ...

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Remote Data Transformation Analyst information

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 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 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 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:
Data Practice Lead

Data Practice Lead

Onebridge

Indianapolis, IN • On-site, Remote

Full-time

Posted 6 hours ago


Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Data Practice Lead to join our innovative and dynamic team.
Data Practice Lead | About You
As a Data Practice Lead, you are a strategic and hands-on expert in modern data platforms, helping organizations unlock the full value of their data across analytics, AI, and cloud ecosystems. You thrive in client-facing roles, partnering with executives such as CTOs and CDOs to guide enterprise-scale data transformations and platform decisions. You bring deep experience designing and evaluating solutions across leading cloud data platforms-such as Databricks and Snowflake-and provide clarity for complex challenges including migrations, governance, and AI enablement. You combine technical depth with strong business acumen, supporting pre-sales engagements by assessing client needs, comparing platforms, and building ROI-driven solution strategies. You lead through influence rather than hierarchy, mentor teams, and ensure solutions are delivered as designed and aligned with strategic goals.
Data Practice Lead | Day-to-Day
  • Architect and guide the implementation of scalable data solutions across modern cloud data platforms, including Databricks and Snowflake, leveraging best-practice patterns and reference architectures.
  • Lead pre-sales and business development efforts by assessing current-state environments, identifying client pain points, comparing platform options, and justifying ROI for tailored data solutions.
  • Advise client executives (CTOs, CDOs) on data strategy, platform selection, modernization roadmaps, and enterprise-scale architecture decisions.
  • Serve as the architectural authority during delivery, ensuring governance, quality, and alignment with original scope while acting as an escalation point for delivery teams.
  • Collaborate with cross-functional teams, engineering, BI, platform, integration, and A, to drive innovation and enable data democratization.
  • Mentor and guide data practitioners, leading technical discussions and delivery execution without direct people-management responsibilities.
  • Stay current on platform evolution and emerging capabilities across the cloud data ecosystem, including advancements in analytics, governance, and AI tooling.

Data Practice Lead | Skills & Experience
  • 7+ years of experience in data engineering, data architecture, solution architecture, or related roles.
  • Strong hands-on experience with modern cloud data platforms, including Databricks and/or Snowflake.
  • Proven ability to support pre-sales activities, including discovery sessions, technical evaluations, demos, and proposal development.
  • Deep understanding of enterprise data architecture, data governance frameworks, and scalable solution design.
  • Experience leading or supporting platform migrations from on-prem or legacy systems to modern cloud data platforms.
  • Ability to pragmatically compare data platforms (e.g., Databricks vs. Snowflake) and communicate tradeoffs, cost considerations, and ROI.
  • Strong client-facing communication skills with the ability to translate complex technical concepts into clear business outcomes.