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Data Analysis Project Jobs (NOW HIRING)

Be a part of the full life cycle of projects and see end results * Collaborate across business units * Work with top talent in a fast paced, entrepreneurial environment where analytics and good data ...

Data Engineer

Philadelphia, PA

$115.50K - $138.70K/yr

Bachelor's or Master's degree in Computer Science , Data Engineering , or related field * 8+ years in business/data analysis, project management, or process re engineering * Strong expertise in Azure ...

Sr. Manager- Data Analysis At Capital One, data is at the center of everything we do. When we ... Planning and executing validation projects * Assessing the quality and risk of analytical tool ...

Sr. Manager- Data Analysis At Capital One, data is at the center of everything we do. When we ... Planning and executing validation projects * Assessing the quality and risk of analytical tool ...

Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries providing versioning and historical background on project-related documents ...

Provide presentations or briefings on all aspects of the data analysis * Maintain analytics project SharePoint libraries providing versioning and historical background on project-related documents ...

This role offers an exciting opportunity to work on complex data analysis projects in the banking and financial services domain. Key Responsibilities: * Design and develop data analysis models using ...

... Project Solutions, Mobile Development, Mobile Test Automation, Product and Engineering Services ... Create algorithms to perform large-scale traffic analysis and summarize data for graphing and ...

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Data Analysis Project information

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How much do data analysis project jobs pay per hour?

As of May 31, 2026, the average hourly pay for data analysis project in the United States is $57.51, according to ZipRecruiter salary data. Most workers in this role earn between $49.76 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Data Analysis Project, and why are they important?

To excel in a Data Analysis Project, you need strong analytical skills, proficiency in statistics, and a solid grounding in data management, typically supported by a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI is essential, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and the ability to communicate complex insights clearly are vital soft skills in this role. These skills ensure accurate data interpretation, actionable insights, and effective collaboration with stakeholders, driving informed decision-making.

What are some common challenges faced when managing a Data Analysis Project, and how can they be addressed?

One common challenge in Data Analysis Projects is ensuring data quality and consistency, as datasets often come from multiple sources and may contain errors or missing values. Effective communication between data analysts, stakeholders, and IT teams is also crucial to clarify project objectives and data requirements. To address these issues, teams typically implement robust data cleaning processes, maintain clear documentation, and schedule regular check-ins to align expectations and track progress. Adopting project management tools and fostering a collaborative environment can help keep the project on track and ensure that insights meet business goals.

What is a data analysis project?

A data analysis project is a structured process where data is collected, cleaned, and examined to extract useful insights or answer specific questions. The project typically involves defining objectives, preparing and exploring data, applying statistical or computational techniques, and communicating findings through reports or visualizations. Data analysis projects are common in various industries and help organizations make informed decisions based on evidence from data.

What is the difference between Data Analysis Project vs Data Analyst?

AspectData Analysis ProjectData Analyst
CredentialsOften involves completing specific projects, certifications optionalTypically requires a degree in data-related fields, certifications like CAP or Microsoft Data Analyst
Work EnvironmentTemporary, project-based, can be freelance or in-houseFull-time or part-time employment within organizations
Industry UsageUsed across various industries for specific objectivesCommonly employed in business, finance, healthcare, and tech sectors
Search & ComparisonOften searched by those looking to complete or understand specific data projectsCompared when exploring career options or job opportunities in data roles

In summary, a Data Analysis Project refers to a specific, often temporary task or assignment focused on analyzing data, while a Data Analyst is a professional role involving ongoing responsibilities in data collection, analysis, and reporting within organizations.

More about Data Analysis Project jobs
What cities are hiring for Data Analysis Project jobs? Cities with the most Data Analysis Project job openings:
Infographic showing various Data Analysis Project job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Transformation Analyst Intern

chemelex

Redwood City, CA

Other

Posted 17 days ago


Job description

ABOUT THE ROLE

We are seeking a motivated Transformation Analyst Intern to support crossfunctional improvement and modernization initiatives across our operations, engineering, supply chain, and finance teams. This internship is ideal for students who enjoy analytical work, structured problemsolving, and exposure to real transformation projects inside a manufacturing or operations environment.

The intern will assist with data analysis, project coordination, cost modeling, and documentation to help teams execute key initiatives. This role provides handson experience with ERP systems, Bill of Materials (BOM) analysis, CapEx processes, and project management fundamentals.

The analyst plays a critical role in enabling organizational change, improving processes, and supporting capital and operational projects.

WHAT YOU’LL DO

Project Support & Coordination

  • Maintain project timelines, action logs, and status updates.
  • Support meeting preparation, notetaking, and followup tracking.
  • Assist with readiness checks and identifying simple bottlenecks.
  • Prepare basic presentations or summaries for leadership reviews.
  • Maintain project documentation, risk logs, action registers, and status reports.

Data & Cost Analysis

  • Build and update simple cost models under guidance.
  • Run basic BOM simulations to compare cost or sourcing scenarios.
  • Validate data with engineering, supply chain, or finance teams. Perform Bill of Material (BOM) simulations to evaluate cost impacts.

CapEx & Supplier Support

  • Organize supplier quotes and assist in bid comparisons.
  • Support CapEx documentation, justification materials, and approval tracking.
  • Prepare, review, and validate CapEx quotes… Track CapEx estimates, changes, and approvals.

Documentation & Requirements Support

  • Help draft or edit sections of scopes of work or acceptance criteria.
  • Support Procurement and Engineering with contract documentation.
  • Participate in vendor calls to capture notes and open items.
  • Develop detailed acceptance criteria… Ensure documentation is complete, accurate, and aligned with project objectives.

Systems & Data Management

  • Pull and validate data from SAP or other ERP systems. Leverage reporting tools to create dash
  • Support master data cleanup and alignment across functions.
  • Build simple dashboards or reports for project teams.

CrossFunctional Collaboration

  • Assist communication between engineering, supply chain, procurement, and operations.
  • Help create process documentation, training materials, or changemanagement content. communication plans.

QUALIFICATIONS AND EXPERIENCE

  • Currently pursuing a bachelor’s degree in data Analytics, Statistics, Computer Science, Industrial Engineering,  Business, or related field
  • Strong analytical and problem-solving skills with ability to work through large datasets
  • Experience with data visualization tools such as Power BI or Tableau
  • Proficiency in Excel required; Python, R, or SQL preferred
  • Understanding of data cleaning, structuring, and basic statistical analysis
  • Strong communication skills and ability to explain insights clearly
  • Ability to work in a fast-paced manufacturing environment
  • Exposure to manufacturing or production systems is a plus
  • Strong organization skills
  • Strong communicator
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