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Remote Data Transformation Analyst Jobs in Texas

Horizontal Talent

Data Delivery Manager

Plano, TX · On-site +1

Join an enterprise data transformation effort where you'll help drive the delivery of modern data initiatives across engineering, architecture, analytics, and business stakeholders. This role is ...

McKesson

Data Steward

Irving, TX · On-site +1

The analyst supports information governance efforts by helping determine how data can be used to ... Develop and maintain source-to-target mapping documentation, data transformation requirements, and ...

KPMG LLP

ERP Architect - SAP

Dallas, TX · On-site +1

... Data & Analytics services. • Experience supporting large-scale global ERP transformation programs. Resource should be located within commuting distance of Montvale, Dallas, or Chicago. KPMG LLP ...

Conga

VP of Data Architecture

Boston, TX · Remote

Remote (US) with periodic travel to engineering hubs Reports to: Chief Technology Officer A quick ... As VP of Data Architecture, you will lead the transformation toward a unified and scalable data ...

SmartLight Analytics

Senior Data Analyst

Plano, TX · On-site +1

$80K - $101K/yr

This position is a remote position. Key Responsibilities: Data Analysis and Interpretation * Develop a deep understanding of the organization's key initiatives and provide analytical solutions that ...

Resource Innovations

Energy Engineer

Dallas, TX · On-site +1

Resource Innovations (RI) is a women-led energy transformation firm focused on impact . Building on ... Responsibilities may include remote data analysis, desktop engineering review, savings calculations ...

NTT DATA Services

Business Analyst - Claims

Mckinney, TX · On-site +1

$117K - $196K/yr

Req ID: 386771 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Role Summary Seeking a Business Analyst - Claims to support a claims transformation initiative ...

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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 Texas?

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

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

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

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

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

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

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

Remote Data Transformation Analyst jobs near you

Data Delivery Manager

Horizontal Talent

Plano, TX • On-site, Remote

Full-time

Re-posted 19 days ago

Key responsibilities

  • Lead end-to-end delivery of enterprise data initiatives from planning through execution

  • Build and maintain project plans, milestones, timelines, risks, dependencies, and deliverables

  • Coordinate work across data engineering, architecture, analytics, and business teams to keep priorities aligned

Job description

Join an enterprise data transformation effort where you’ll help drive the delivery of modern data initiatives across engineering, architecture, analytics, and business stakeholders. This role is ideal for a data-savvy delivery leader who can bring structure, accountability, and clear communication to complex, cross-functional work.

Responsibilities
  • Lead end-to-end delivery of enterprise data initiatives from planning through execution
  • Build and maintain project plans, milestones, timelines, risks, dependencies, and deliverables
  • Coordinate work across data engineering, architecture, analytics, and business teams to keep priorities aligned
  • Proactively identify blockers and help drive resolution to maintain momentum and delivery quality
  • Manage scope and expectations while keeping work aligned to business goals and enterprise priorities
  • Serve as the primary point of contact for data-related updates in project meetings, steering committees, and leadership discussions
  • Prepare and communicate status updates, risks, and mitigation plans in a clear, business-friendly way
  • Support requirements discussions and help ensure business needs are translated into effective technical solutions
  • Partner with teams supporting the migration from siloed data solutions to a centralized enterprise platform
  • Facilitate Agile ceremonies, planning sessions, retrospectives, and cross-functional working meetings
  • Encourage collaboration, accountability, and continuous improvement across multiple workstreams
Skills
  • 5+ years of experience in delivery management, project management, program management, or data management
  • Hands-on understanding of modern data engineering and data platform concepts
  • Experience working with Snowflake, DBT, Azure Data Factory, Microsoft Fabric, and Azure cloud services
  • Background supporting large-scale data, analytics, cloud, or digital transformation initiatives
  • Strong communication skills with the ability to present to technical teams and executive stakeholders
  • Ability to manage multiple priorities, timelines, and competing demands effectively
  • Excellent organizational skills and attention to detail
  • Comfort working in Agile and hybrid delivery environments
  • Confidence translating technical detail into clear, practical business language
  • Ability to take ownership and operate with urgency in a fast-moving environment
Preferred Skills
  • Experience in banking, financial services, or another regulated industry
  • Familiarity with enterprise architecture, governance, and data quality standards
  • Exposure to enterprise reporting, analytics, or business intelligence ecosystems
  • Experience supporting cloud migration or data modernization programs
  • Professional certifications such as PMP, Scrum Master, or SAFe
  • Experience helping teams build structure and alignment in ambiguous environments
  • Ability to influence without authority and build consensus across diverse groups
  • A collaborative mindset with a focus on delivery excellence and continuous improvement

Horizontal is committed to fostering an inclusive workplace where everyone feels respected, valued, and empowered to contribute. We welcome applicants from all backgrounds and experiences, and we are dedicated to building teams that reflect a broad range of perspectives.

By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.

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