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Data Analysis Project Jobs (NOW HIRING)

AT&T

Principal Data Analysis

Dallas, TX · On-site

$128K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Leads critical, high-impact projects and designs or implements innovative business strategies ... Our Principal Data Analysis jobs earn between $128,400.00 - $215,800.00 USD Annual. Not to mention ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

NIO

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

CALSTART

Data Analysis Intern

$19 - $21/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Intern Project- What You'll Do: • Support the development of a knowledge and tools repository ... data and resources, and refining and compiling existing tools. • Support the development of a ...

Group1001

Quantitative Analysis Intern

Stamford, CT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

CE Data Science Project To provide CE with more actionable data for making better and more efficient decisions, the position will lead the CE data analysis project, focusing on uncovering ...

Exyte GmbH

Perform schedule analysis and identify risks, delays, and recovery opportunities. Monitor project ... Data Analytics & Reporting Collect, analyze, and interpret project data across multiple projects.

Group1001

Quantitative Analysis Intern

Stamford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

CE Data Science Project To provide CE with more actionable data for making better and more efficient decisions, the position will lead the CE data analysis project, focusing on uncovering ...

Exyte Group

Project Manager Data Analyst

Chandler, AZ · On-site

$144K/yr

... schedule analysis and identify risks, delays, and recovery opportunities. • Monitor project ... Data Analytics & Reporting • Collect, analyze, and interpret project data across multiple ...

Sunrise Systems, Inc.

Operations Data Analyst

Dublin, CA · On-site

$49.65 - $50/hr

Manage data analysis projects from initial requests through reporting and presentation. * Process, cleanse, analyze, and validate data for accuracy. * Develop automated data routines and reporting ...

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Data Analysis Project information

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How much do data analysis project jobs pay per hour?

As of Aug 18, 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 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 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 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:

What job categories do people searching Data Analysis Project jobs look for?

The top searched job categories for Data Analysis Project jobs are:

Data Analysis Project jobs near you
Infographic showing various Data Analysis Project job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

Principal Data Analysis

AT&T

Dallas, TX • On-site

$128K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 729 frontline employees who took The Breakroom Quiz

53rd of 99 rated telecommunications companies

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Overall Purpose

Research, collect, process, and organize data across multiple repositories and business applications. Maintain and update data interfaces, develop data rules and mappings, resolve discrepancies, and analyze data to deliver actionable insights that support business decision-making.

The ideal candidate is a Principal Data Analyst who brings specialized analytical expertise in evaluating complex billing data, identifying trends, and uncovering anomalies across products, systems, customer segments, and transaction flows. This individual will design and implement scalable monitoring solutions that help shift billing assurance from reactive issue resolution to proactive risk identification.

The candidate will play a critical role in reducing revenue leakage, preventing overbilling and underbilling, improving audit readiness, and ensuring billing processes operate as intended. Success in this role requires strong analytical judgment, deep data investigation skills, the ability to connect insights across complex data environments, and experience translating findings into actionable business recommendations.

Key Roles and Responsibilities:

Typical responsibilities may include, but are not limited to, the following:

  • Data Collection and Processing:Gather, preprocess, cleanse, and organize data from multiple sources to ensure accuracy, consistency, and readiness for analysis.

  • Data Management and Mapping:Maintain and update data repositories, interfaces, data rules, and mapping logic across business applications.

  • Data Analysis and Interpretation:Analyze data using statistical and analytical methods to identify trends, patterns, risks, and opportunities. Develop insights and recommendations to support business decisions.

  • Reporting and Visualization:Create clear, accurate, and compelling reports, dashboards, and visualizations to communicate findings effectively to stakeholders.

  • Discrepancy Resolution and Quality Assurance:Identify, investigate, and resolve data discrepancies across platforms. Support data quality through validation, auditing, and control processes.

  • Analytical Tools:Use tools and technologies such as SQL, Power BI, Python, and related analytics platforms to support reporting, analysis, automation, and data management activities.

Job Contribution

Recognized as an expert in the field, applying broad business knowledge, technical expertise, and strategic insight to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs or implements innovative business strategies. Works with minimal oversight, regularly consults with senior leadership, and influences executive-level decisions. Serves as a mentor and supports others in resolving complex issues.

Supervisory Responsibility:No

TCP Career Step Differentiator

Manages highly complex data storage and integration efforts involving multiple sources. Performs advanced analytics to solve highly complex business problems and deliver strategic business value.

Education and Experience

Bachelor's degree in Computer Science, Mathematics, Data Analytics, Statistics, or a related field preferred. Typically requires 7+ years of related experience. Certification may be required in some areas.

Our Principal Data Analysis jobs earn between $128,400.00 - $215,800.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Alpharetta, Georgia, Dallas, Texas

Salary Range:

$128,400.00 - $215,800.00

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

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