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Live In Data Analyst Developer Jobs (NOW HIRING)

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 ...

Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics. Ability to ...

Collaborate with analysts, developers, and business teams Qualifications: * Bachelor s or Master s degree in Computer Science, Information Systems, IT, Data Analytics, Business Analytics, Statistics ...

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 ...

Familiarity with data warehouses and analytics engineering. * Knowledge of experimentation, product analytics or forecasting. * Experience in tech or consumer platforms. Application process Submit ...

Company Description At Brightspeed, we are reimagining how people live, work, play and connect by ... Bachelor's degree in Computer Science, Business Analytics, Engineering, Mathematics, Statistics ...

Embrace working toward the end goal of helping others live a better quality of life * Support day ... Bachelors Degree in Data Analytics or in Computer Science, Engineering, Mathematics, Statistics, or ...

Data Analyst

San Francisco, CA ยท Remote

$1.0K - $1.2K/mo

Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently. * Adept at working with large datasets, utilizing statistical techniques to ...

DATA ANALYST ENGINEER I

Norco, CA ยท On-site

$65K - $80K/yr

**Position is ON SITE in Norco, CA** Job Summary: The Data Analyst Engineer I will provide critical support to Navy operations by developing, maintaining, and enhancing data visualization, reporting ...

Description and requirements At Skanska, we're shaping the way we live, work and connect. As one of ... Work closely with data engineers, architects, and business stakeholders to source, transform ...

Data Analyst

New York, NY ยท On-site +1

Key Responsibilities: - Collect and organize large sets of data from various sources - Analyze data using statistical methods and data visualization techniques - Identify patterns and trends in data ...

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Live In Data Analyst Developer information

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How much do live in data analyst developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for live in data analyst developer in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Live In Data Analyst Developer vs Live In Data Scientist?

AspectLive In Data Analyst DeveloperLive In Data Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; programming skills in SQL, Python, or RBachelor's or Master's in Data Science, Statistics, or related; strong programming and statistical skills
Work EnvironmentCollaborative teams in tech or finance sectors, often client-facingResearch-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data analysis and development in live environmentsUsed for advanced data modeling, predictive analytics, and research

The main difference is that Live In Data Analyst Developers focus on developing and maintaining data analysis tools in live settings, combining coding with analysis. Live In Data Scientists typically perform more advanced statistical modeling and predictive analytics, often in research or strategic roles. Both roles require strong technical skills, but Data Scientist roles tend to involve more complex statistical work.

Are live in data analyst developer jobs still in demand?

Live-in data analyst developer jobs are relatively rare, as most data analysis roles are based in office or remote environments. However, demand for data analysts and developers with skills in programming, data visualization, and database management remains strong across various industries, especially with increasing reliance on data-driven decision-making.
What cities are hiring for Live In Data Analyst Developer jobs? Cities with the most Live In Data Analyst Developer job openings:
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 Live In Data Analyst Developer jobs? States with the most job openings for Live In Data Analyst Developer jobs include:

Data Analyst/Developer

campus4tech

Grand Prairie, TX โ€ข On-site

Full-time

Re-posted 17 days ago


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.