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Data Analyst Developer Jobs (NOW HIRING)

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days' per week Duration: Long-Term Contract W2 candidates, no C2C or Third Party Vendors What type of ...

CACI International, Inc.

Senior Data Analyst/Developer

$88K - $111K/yr

Senior Data Analyst/Developer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

The Junior Analyst / Developer will provide analytical and instructional support while developing ... data validation, quality checks, and sustainment artifacts · Support analytics handoff and ...

JANSON

Junior Data Analyst / Developer

Fairfax, VA · On-site

The Junior Analyst / Developer will provide analytical and instructional support while developing ... data validation, quality checks, and sustainment artifacts · Support analytics handoff and ...

Pipe Recruit

Analyst Developer

Manhattan, NY · On-site

Analyst Developer We are seeking a talented Analyst Developer with strong expertise in C# and SQL ... The ideal candidate will have a solid foundation in both software development and data analysis ...

Changeis

Data Analyst/Engineer

Data Analyst/Engineer Changeis, Inc. is seeking a highly skilled and motivated Data Analyst/Engineer to support data initiatives in our current work. As a Data Analyst/Engineer, you will be ...

New

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

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How much do data analyst developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for data analyst developer in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

Can a developer be a data analyst?

A developer can transition into a data analyst role if they acquire relevant skills such as data querying, analysis, and visualization tools like SQL, Excel, or Tableau. Many skills from development, such as programming and problem-solving, are transferable, but additional training in data analysis techniques is often necessary.

What does a data analytics developer do?

A data analytics developer designs and builds systems to collect, process, and analyze large datasets to support business decision-making. They often use programming languages like Python or SQL, and tools such as data visualization software, to create reports and dashboards that communicate insights clearly.

What is a Data Analyst Developer job?

A Data Analyst Developer is a hybrid role that combines data analysis and software development skills. They collect, process, and analyze data to generate insights while also developing tools, scripts, or applications to automate data workflows. These professionals work with databases, SQL, Python, or other programming languages to optimize data processes. They collaborate with business teams to understand requirements and provide data-driven solutions. The role requires strong analytical thinking, problem-solving abilities, and technical expertise in data management and software development.

Is 40 too late for data science?

A Data Analyst Developer can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization. Gaining relevant knowledge through online courses, certifications, and practical experience can facilitate this career shift regardless of age.

What are the key skills and qualifications needed to thrive in the Data Analyst Developer position, and why are they important?

To thrive as a Data Analyst Developer, you need strong analytical skills, proficiency in programming languages (such as SQL and Python), and a solid understanding of statistical methods, supported by a relevant degree in data science, mathematics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), experience in database management systems, and certifications such as Microsoft Certified Data Analyst can be advantageous. Effective communication, problem-solving, and collaboration skills are key soft skills for translating data findings into actionable insights. These abilities are crucial for helping organizations make data-driven decisions and build reliable analytical tools and solutions.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analyst developers play a crucial role in interpreting data, designing models, and making strategic decisions. AI enhances productivity but does not fully replace the need for human expertise in analysis, problem-solving, and communication. Skills in data visualization, programming, and understanding business context remain essential for data analyst developers.

What are some typical day-to-day responsibilities for a Data Analyst Developer?

As a Data Analyst Developer, you will spend your days transforming raw data into actionable insights by building and maintaining data pipelines, writing complex queries, and creating analytical reports or dashboards. You’ll frequently collaborate with business stakeholders to understand their information needs and with IT teams to ensure data infrastructure supports evolving requirements. Expect to troubleshoot data issues, optimize processes for efficiency, and stay current with new analytics technologies. This dynamic environment offers opportunities to work on diverse projects and contribute directly to your company’s strategic goals.

More about Data Analyst Developer jobs
What are the most commonly searched types of Data Analyst Developer jobs? The most popular types of Data Analyst Developer jobs are:
What states have the most Data Analyst Developer jobs? States with the most job openings for Data Analyst Developer jobs include:
What job categories do people searching Data Analyst Developer jobs look for? The top searched job categories for Data Analyst Developer jobs are:
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Data Analyst Developer jobs near you
Infographic showing various Data Analyst Developer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analyst/Developer

campus4tech

Grand Prairie, TX • On-site

Full-time

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

Job description

Title: Data Analyst/Developer
Location: Grand Prairie, TX
Job Mode: This role is on-site 5 days' per week
Duration: Long-Term Contract
W2 candidates, no C2C or Third Party Vendors
What type of experience client is looking for:
  • Candidate will be working directly on the manufacturing floor, partnering with Operational Engineers, Manufacturing Engineers, Plant Managers, and operators to understand how production runs in real time.
  • Candidate would help shape a new production dashboard, digitize paper forms, analyze process data, build KPIs, and collaborate closely with the people who rely on this information daily.
  • It's a blend of data analysis, SQL Server work, and some light Angular/Node.js development - all tied directly to high-impact, real-world manufacturing problems.

Candidate Requirement
  • Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ years of post-graduation experience.
  • 2+ years of SQL Server experience, including data cleansing, table creation, and light administration.
  • Strong SQL querying experience; exposure to R or Python is a plus.
  • 1+ year of front-end development (Angular or React).
  • 1+ year of Node.js experience, including pulling and integrating data from multiple sources.
  • Experience collaborating directly with operators, engineers, or end users for requirements gathering.
  • Ability to analyze data patterns, identify trends, and make recommendations based on findings.

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