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Remote Data Transformation Analyst Jobs in Washington

Operate successfully on remote projects as well as hybrid on-site projects in the DC metro area ... Experience performing analytics and data transformation using Python. * Proficiency in querying ...

Data Engineer (Remote, US)

Leesburg, VA · Remote

$115.80K - $139.10K/yr

Expertise in SQL skills for data transformations, statistical analysis, and troubleshooting across more than one Database Platforms (MySQL, PostgreSQL, Redshift, Azure SQL Warehouse etc.) * Expert in ...

Data Analyst - Power BI

Columbia, MD · Remote

$105K - $115K/yr

Piper Companies is seeking a Data Analyst to join a missiondriven Digital Transformation team ... This position is fully remote , with occasional travel for teambuilding on client site. Overview In ...

Data Engineer

Mclean, VA · Remote

$117.50K - $141.10K/yr

Strong proficiency in Python and SQL for data transformation and analysis. * Experience building ... Depending on projects, we allow remote working opportunities so you can always be in the game no ...

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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 Washington? The most popular types of Data Transformation Analyst jobs in Washington are:
What are popular job titles related to Remote Data Transformation Analyst jobs in Washington? For Remote Data Transformation Analyst jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation Analyst jobs in Washington look for? The top searched job categories for Remote Data Transformation Analyst jobs in Washington are:
What cities in Washington are hiring for Remote Data Transformation Analyst jobs? Cities in Washington with the most Remote Data Transformation Analyst job openings:

Data Engineer / Analytics Programmer (Healthcare Data)

The ACI Group

Riverdale, MD • Remote

$114.90K - $138K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

About the job Data Engineer / Analytics Programmer (Healthcare Data)
Data Engineer / Analytics Programmer (Healthcare Data)
Contract | US Citizen | Remote

  • Contract (1 year+)
  • 100% Remote
  • Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance.
  • NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED.
Description
We're supporting our client on a CMS-focused healthcare analytics program and are seeking a hands-on Data Engineer/Analytics Programmer to join their Ad Hoc Analytics team.
This role is ideal for someone who enjoys working with new, complex datasets and building analytic solutions from the ground up.
Responsibilities
  • Use Python and SQL to process and analyze complex healthcare data
  • Work with new and evolving data sources and turn them into analytic datasets
  • Perform data transformation and linking across multiple sources
  • Develop visualizations and analytic outputs
  • Support ad hoc data requests in a collaborative, fast-paced environment
Requirements
  • Strong Python + SQL
  • GitHub
  • Experience with complex data (healthcare claims experience; Medicaid experience highly desired)
Desired
  • Enterprise-CMCS GitHub
  • Databricks (Specifically DataConnect Databricks)
  • BI tools (QuickSight or other BI tools for developing visualizations)
  • Jira and Confluence
  • An understanding of data ingestion and data processing, data linking, and software application lifecycle
  • Familiarity with Agile development and work management.
Please Note:
  • Only those individuals selected for an interview will be contacted.
  • No calls, inquiries, or Third-Party Vendors please.
  • We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas).
  • $1000 Referral Bonus - www.aci.com.

Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.