1

Data Analyst Programmer Jobs (NOW HIRING)

Data Analyst

Denver, CO ยท On-site +1

Key Responsibilities Data Analysis & Engineering * Extract, transform, and analyze fleet-scale manufacturing, testing, deployment, and operational data using advanced SQL (DML). * Understand and ...

New

Data Analyst Engineer Position Summary: The Data Analyst Engineer is responsible for supporting data-driven decision-making and documentation processes by collecting, analyzing, and interpreting ...

Senior Data Analyst and Engineer Lakewood, CO The contractor team will bring senior-level knowledge of data development and data systems engineering. A Data Analyst/Engineer, or Data Systems Engineer ...

Data Analyst

Denver, CO ยท On-site

Key Responsibilities Data Analysis & Engineering * Extract, transform, and analyze fleetscale manufacturing, testing, deployment, and operational data using advanced SQL (DML). * Understand and ...

New

Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data ...

Lansing, Michigan Data Analyst Contract Analytics Engineer/Data Analyst (W-2 Contract / No Agencies) We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview Process Round 1: Technical Interview Round 2: Case Study (Candidates will be given a takeaway case ...

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position ... Use healthcare industry knowledge and analytical programming skills to develop and upgrade reports ...

Data Analyst

Chicago, IL ยท On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Data Analyst

Austin, TX ยท On-site

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You'll be a key voice in ...

Analyst ProgrammerAbout the Role StayinFront is looking for an Analyst Programmer to help design ... In this role, you will work on data integrations, workflows, dashboards, and mobile user interfaces ...

SQL Server, Oracle, PostgreSQL, MySQL - Programming and/or scripting (Python, R, Java) - Background in Law Enforcement, Data Science, Investigations, Data Analysis, Computer Information Systems, or ...

Collaborate with Data Engineers, Architects, and Solution Owners to design and deliver scalable ... Partner with Analytics Engineering teams to ensure reporting is built on trusted, scalable, and ...

Senior Data Analyst

Philadelphia, PA ยท On-site +1

$86K - $109K/yr

The Data & Analytics team consists of data analysts, data engineers and analytics engineers working to build the most effective platform and tools to help uncover opportunities and make decisions ...

New

BI Analyst/Programmer

Dover, NJ ยท On-site

$80K - $98K/yr

Job Schedule Full time * Export-Controlled Data This position entails access to export-controlled ... Consults with the requester regarding analytical/programming requirements, determine the ...

next page

Showing results 1-20

Data Analyst Programmer information

See salary details

$27

$45

$82

How much do data analyst programmer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for data analyst programmer in the United States is $45.64, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $51.92 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst Programmer, and why are they important?

To thrive as a Data Analyst Programmer, you need strong analytical skills, proficiency in programming languages like SQL and Python, and a solid understanding of statistics and data modeling, often backed by a degree in computer science, statistics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and version control platforms is typically required. Standout professionals also possess problem-solving abilities, attention to detail, and effective communication skills for translating data insights to stakeholders. These skills ensure accurate data analysis, efficient programming solutions, and impactful business decision-making.

How do Data Analyst Programmers typically collaborate with other teams within an organization?

Data Analyst Programmers often work closely with a variety of teams, including business analysts, data engineers, and management. They translate business requirements into technical solutions by developing data models, building queries, and generating reports. Regular communication with stakeholders ensures data insights are actionable and aligned with organizational goals. Collaboration is usually facilitated through agile methodologies, cross-functional meetings, and shared project management tools, making teamwork and adaptability essential for success in this role.

What is the difference between Data Analyst Programmer vs Data Analyst?

AspectData Analyst ProgrammerData Analyst
Required SkillsData analysis, programming, SQL, scriptingData analysis, Excel, visualization tools
Work EnvironmentData processing, coding, software developmentData interpretation, reporting, dashboards
Common CertificationsSQL, Python, R certificationsExcel, Tableau, Power BI certifications
Industry UsageTech, finance, healthcare with coding needsBusiness, marketing, finance for reporting

While both roles involve working with data, a Data Analyst Programmer combines data analysis with programming skills to develop data solutions, whereas a Data Analyst primarily focuses on interpreting data and creating reports. The former often requires coding expertise, while the latter emphasizes data visualization and business insights.

What does a data analyst developer do?

A data analyst developer combines skills in data analysis and programming to design, develop, and maintain data systems and tools. They often work with programming languages like Python or SQL, create data visualizations, and automate data processing tasks to support business decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analyst programmers are essential for interpreting complex data, developing models, and making strategic decisions. Their skills in understanding business context, programming, and data visualization remain critical, even as AI advances. Continuous learning and expertise in tools like SQL, Python, or R help data analysts stay valuable in an evolving environment.

Is a data analyst a programmer?

A data analyst is primarily responsible for interpreting data, creating reports, and providing insights, and they often use programming languages like SQL, Python, or R to manipulate and analyze data. While programming skills are important, data analysts focus more on data interpretation and visualization rather than software development. Programming is a tool they use to perform their analysis efficiently.

What are Data Analyst Programmers?

Data Analyst Programmers are professionals who combine skills in data analysis and programming to extract, interpret, and visualize data insights. They use programming languages such as Python, R, or SQL to clean, manipulate, and analyze large datasets. Their work helps organizations make data-driven decisions by transforming raw data into actionable information, creating reports, and developing automated solutions for data processing. Data Analyst Programmers often collaborate with other departments to identify business needs and design data models or dashboards that support organizational goals.

Is 40 too late for data science?

A Data Analyst Programmer 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.
More about Data Analyst Programmer jobs
What are popular job titles related to Data Analyst Programmer jobs? For Data Analyst Programmer jobs, the most frequently searched job titles are:
Infographic showing various Data Analyst Programmer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $94,931 per year, or $45.6 per hour.

Data Analyst

Averna

Denver, CO โ€ข On-site, Remote

Full-time

Medical, Life

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Company Description
As of January 2026, Averna and Spherea joined forces to form the Spherea Group. A global Test & Quality Solution leader, Averna Powered by Spherea partners with product designers, developers and manufacturers to help them achieve higher product quality, accelerate time to market and protect their brands by covering and offering solutions and expertise for the entire product lifecycle.
Averna Powered by Spherea offers specialized expertise and innovative test, vision inspection, precision assembly and automated solutions that deliver substantial technical, financial and market benefits for clients in the aerospace, automotive, consumer electronics, defense, energy, industrials, medical devices & life sciences, semiconductor, telecom and transportation industries.
Their solutions include prototyping & consulting, precision assembly & production, automated test solutions, in-line test systems, test system replication, and test platforms & products. Averna Powered by Spherea's expertise ranges from vision systems, specialized battery test, RF & microwave and fiber optics to robotics & motion, instrumentation, control systems, and data management.
Job Description
Data Analyst - AI focused in Hardware Manufacturing, Quality & Reliability
Role Summary
This role sits at the intersection of data analytics, hardware manufacturing, quality & reliability engineering, and digital transformation. As an AI-savvy Data Analyst, you will generate value-driven insights from fleet-scale manufacturing, test, and deployment data while supporting New Product Introduction (NPI) and Product Operations teams.
You will transform complex manufacturing and quality concepts into data-driven metrics, intelligent dashboards, and AI-enabled applications. You will also lead initiatives that modernize manual workflows into scalable, automated, and insight-driven systems-leveraging statistical analysis, cloud data platforms, and AI technologies.
Key Responsibilities
Data Analysis & Engineering
  • Extract, transform, and analyze fleet-scale manufacturing, testing, deployment, and operational data using advanced SQL (DML).
  • Understand and translate manufacturing, quality, and reliability concepts into measurable, data-driven solutions and KPIs.
  • Perform statistical analysis on manufacturing test data to ensure data integrity, reliability, and readiness for automation and root-cause analysis.
  • Continuously provide feedback upstream to improve data quality, coverage, and performance.

AI, Automation & Intelligence
  • Identify and implement opportunities to automate manual workflows using AI and advanced analytics.
  • Develop AI-driven recommendation systems for data standards, anomaly detection, intelligent data mapping, and quality insights.
  • Support the integration of AI and ML services (e.g., Vertex AI, LLMs) into analytics workflows and intelligent applications.
  • Partner with engineers and product teams to embed AI capabilities into hardware NPI and manufacturing processes.

Visualization, Reporting & Executive Insights
  • Design, develop, and maintain interactive dashboards and reports using Looker Studio, Tableau, Power BI, or equivalent tools.
  • Visualize manufacturing performance, data quality scores, operational metrics, headcount status, and organizational spending.
  • Prepare executive-level summaries and presentations that distill complex technical data into clear, actionable insights.
  • Provide leadership with real-time, decision-ready visibility into manufacturing and operational health.

Cross-Functional Collaboration & Program Support
  • Interact professionally with engineers, product owners, suppliers, and subject-matter experts across manufacturing, quality, IT, and operations.
  • Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions.
  • Support multiple parallel initiatives by tracking progress, identifying risks, and escalating delivery impediments when needed.
  • Facilitate change management through documentation, communication plans, and process training.

Qualifications
The ideal candidate in a few words:
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, Engineering, or a related discipline.
  • Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices.
  • Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit-learn).
  • Strong analytical, problem-solving, and statistical analysis skills.
  • Proven experience creating dashboards, reports, and structured datasets to support business and engineering decisions.
  • Excellent verbal and written communication skills in English.

Preferred / Nice-to-Have Qualifications
  • 5+ years of experience working with cloud data warehouses such as Google BigQuery or equivalent platforms.
  • Familiarity with Google Cloud data products (Vertex AI, Colab, Cloud APIs).
  • 5+ years of experience building interactive dashboards in Looker Studio, Tableau, Power BI, or similar tools.
  • Practical experience with AI/ML models, Large Language Models (LLMs), and AI-enabled workflow automation.
  • Domain experience in electronics manufacturing processes, quality engineering, test engineering, or reliability engineering.
  • Exposure to data governance, data quality management, or master data management concepts.
  • Familiarity with operational topics such as headcount planning, resource allocation, or vendor/contractor (TVC) tracking.
  • Fluency in Mandarin or French is a plus.

Additional Information
What's in It for You
  • Learn and grow through multiple cutting-edge projects
  • Flexible work hours and remote work model #LI-REMOTE
  • Competitive benefits package and competitive total compensation
  • An additional day off for your birthday
  • Flex days paid between Christmas and New year's
  • Be part of a company that puts ESG at the heart of its mission, for people, planet, and performance.

Averna is committed to employment equity and to encouraging diversity and inclusion. We are pleased to consider all qualified applicants for employment, regardless of race, color, religion, sexual orientation, gender, national origin, age, disability, veteran status, or any other legally protected status.
Videos To Watch
https://www.youtube.com/watch?v=2B1sxHF205A