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Weekend Data Transformation Analyst Jobs (NOW HIRING)

You will also partner with and support the Transformation Consultants and HR Data Specialists on the OTS team. WHO WE ARE LOOKING FOR We are looking for an experienced Lead, Transformation Analyst ...

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Perform data transformation analysis and support migration or integration efforts. * Collaborate with business users, developers, and database engineers to understand data requirements. * Document ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

The Data Transformation Lead partners with leaders in Data Governance, Cloud Engineering, Analytics, and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder ...

The Data Transformation Lead partners with leaders in Data Governance, Cloud Engineering, Analytics, and broader IT to drive enterprise data and AI outcomes. This role focuses on stakeholder ...

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Weekend Data Transformation Analyst information

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$34K

$82.6K

$136K

How much do weekend data transformation analyst jobs pay per year?

As of Jul 22, 2026, the average yearly pay for weekend data transformation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectWeekend Data Transformation AnalystData Engineer
Primary FocusTransforming and cleaning data during weekends for reporting and analysisDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsData transformation, SQL, ETL tools, basic scriptingDatabase architecture, programming (Python, Java), cloud platforms
Work EnvironmentPart-time, weekend shifts, data teams in various industriesFull-time, tech or finance companies, data infrastructure teams
CertificationsSQL, ETL tools, possibly data analysis certificationsCloud certifications, programming, database management

The Weekend Data Transformation Analyst primarily focuses on transforming data during weekends to support reporting needs, often requiring SQL and ETL skills. In contrast, Data Engineers develop and maintain the data infrastructure, involving programming and system design. Both roles are essential in data teams but differ in scope, skills, and work hours.

What cities are hiring for Weekend Data Transformation Analyst jobs? Cities with the most Weekend Data Transformation Analyst job openings:
What are the most commonly searched types of Data Transformation Analyst jobs? The most popular types of Data Transformation Analyst jobs are:
What states have the most Weekend Data Transformation Analyst jobs? States with the most job openings for Weekend Data Transformation Analyst jobs include:
Data Transformation Analyst Intern

Data Transformation Analyst Intern

Hispanic Health Council Inc

Hartford, CT โ€ข On-site

Internship

Re-posted 5 days ago


Job description

About Company:

Since 1978, Hispanic Health Council has been championing health equity promotion and social justice in Connecticut through groundbreaking research and innovative health and human services. Our dynamic, culturally competent team creates lasting change in vulnerable communities through evidence-based programs and advocacy. Through our transformative initiatives, we're making an internationally recognized impact while offering meaningful careers with real growth opportunities. If you're passionate about making a difference, there's a place for you here!


About the Role:

As a Data Analyst Intern, you will play a crucial role in supporting our data-driven decision-making processes by collecting, processing, and analyzing large datasets. This internship offers a hands-on opportunity to apply statistical and analytical techniques to real-world business challenges, enhancing your technical and problem-solving skills. You will be responsible for preparing reports and visualizations that clearly communicate findings to stakeholders at various levels. Ultimately, your contributions will help improve operational efficiency and support strategic initiatives within the organization.

Minimum Qualifications:

  • Currently enrolled in or recently graduated from a degree program in Data Science, Statistics, Computer Science, or Mathematics Program.
  • Proficiencyin Excel, Tableau, and statistical tools (e.g., Python, R).
  • Knowledge of data warehousing and big data frameworks (e.g., Hadoop, Spark).
  • Strong mathematical and analytical skills, with familiarity in predictive modeling.

NOTE- It's an unpaid internship.

Preferred Qualifications:

  • Experience with programming languages such as Python or R for data analysis.
  • Knowledge of SQL for querying databases.
  • Exposure to data visualization tools like Tableau, Power BI, or similar platforms.
  • Understanding of machine learning fundamentals.
  • Previous internship or project experience involving data analytics.

Responsibilities:

  • Extract, clean, and transform data from multiple sources into standardized formats.
  • Develop data dictionaries and streamline metadata documentation for harmonized datasets.
  • Build data visualizations using Tableau and Excel for clarity on project insights.
  • Assist in model creation and validation for AI-driven trends analysis.

Skills:

In this role, you will apply your analytical skills daily to interpret complex datasets and extract meaningful insights that inform business decisions. Proficiency in tools like Excel, SQL, and programming languages such as Python or R will enable you to manipulate data efficiently and automate repetitive tasks. Your ability to create clear and compelling visualizations will help translate technical findings into accessible information for diverse audiences. Strong communication skills will be essential as you collaborate with team members and present your analyses. Additionally, your problem-solving mindset will drive continuous improvement in data processes and contribute to innovative solutions.