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Apprentice Data Analyst Developer Jobs (NOW HIRING)

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security Clearance ...

Data Analyst

Chicago, IL

$120K - $170K/yr

This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ... Analytics Support for FP&A and Accounting * Create data assets enabling self-service dashboards and ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals ... Your Role: We're looking for a Data Analyst to help make Alpaca data-driven from the ground up. You ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

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 ...

Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible * Perform data validation, testing, and root cause analysis to ...

... in data analysis, predictive analytics, and systems engineering to solve complex Homeland ... Bachelor's degree in a technical discipline (e.g., Physics, Mathematics, Applied Math, Engineering ...

Required Qualifications: * 2+ years of data mining or 4+ years as a data analyst/engineer/scientist. * meet minimum requirements ofDoDM 8140.03 Role 422(Intermediate Level). * Proficiency in Power BI ...

New

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Required Qualifications: * 2+ years of data mining or 4+ years as a data analyst/engineer/scientist. * meet minimum requirements ofDoDM 8140.03 Role 422(Intermediate Level). * Proficiency in Power BI ...

Data Analyst/Engineer Location: Fairport, NY - 100% Onsite Duration: 06+ Months Schedule: Full-time, M-F, 8am - 5pm. OT not anticipated. Role Overview We are seeking a contract engineer or data ...

Data Analyst / Engineer

Sunnyvale, CA · Remote

$105K - $110K/yr

Data Analyst / Engineer Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together ...

SQL Data Analyst Location: Minneapolis, MN - Locals Duration: Contract to Hire Experience: 10+ ... R programming · ETL tools (SSIS, Informatica) · Cloud platforms (AWS, Azure, Google Cloud ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

Data Analyst/Engineer

Sunnyvale, CA · On-site

$105K - $110K/yr

Data Analyst/Engineer Who We Are: Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies ...

Senior Data Analyst

Charlotte, NC · Remote

$115K - $145K/yr

Proactively identify and investigate data quality issues -- with root-cause evidence -- and partner with Analytics Engineers and Data Engineers to resolve upstream problems promptly. · Write high ...

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Apprentice Data Analyst Developer information

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How much do apprentice data analyst developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for apprentice 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 Apprentice Data Analyst Developer vs Data Analyst Developer?

AspectApprentice Data Analyst DeveloperData Analyst Developer
Required CredentialsBasic understanding of data analysis, entry-level certificationsAdvanced certifications or degrees often preferred
Work EnvironmentTraining programs, supervised tasks, entry-level projectsIndependent project work, client-facing tasks, more responsibility
Employer & Industry UsageInternships, apprenticeships, entry-level roles in tech and financeFull-time roles in data-driven industries like finance, tech, healthcare

The Apprentice Data Analyst Developer is an entry-level role focused on learning and supporting data analysis tasks under supervision. In contrast, a Data Analyst Developer typically has more experience, handles complex projects independently, and may require advanced certifications. The apprenticeship serves as a stepping stone toward a full Data Analyst Developer position.

Is 27 too old for an apprenticeship?

There is no age limit for an apprentice data analyst developer, and many programs welcome mature candidates. Employers value skills, motivation, and willingness to learn over age, and apprenticeships often provide flexible schedules suitable for diverse applicants.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, but data analysts, including apprentice data analyst developers, are essential for interpreting insights, making strategic decisions, and managing complex datasets. AI enhances productivity but does not fully replace the need for human judgment, critical thinking, and domain expertise in data analysis roles.

Is 30 too late for data science?

For an Apprentice Data Analyst Developer, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications, regardless of age.

Is a data analyst apprenticeship worth it?

A data analyst apprenticeship provides hands-on experience, industry-specific skills, and often leads to job opportunities in data analysis. It can be a valuable pathway for developing proficiency in tools like Excel, SQL, and data visualization software while earning a salary during training.
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DATA ENGINEER/DATA ANALYST

Full-time

Posted 7 days ago


Job description

Igniters operate in the world's most demanding environment. Igniters are self-motivated, mission-driven, and relentless in solving the Warfighters' hardest problems. We move fast, think differently, and execute with precision to tackle high-stakes challenges across AI/ML, space and missile defense intelligence, EMSO, advanced analytics, and programmatic domains.

As an employee-owned SDVOSB headquartered in Huntsville, AL, our team delivers mission-critical impact for the Army, Air Force, Space Force, MDA, NASA, DIA, and FBI. Ignite exists to outpace the threat and deliver results that matter in the moments that count. Ignite is hiring an experienced Data Engineer/Data Analyst with an active SECRET clearance to support the government customer in Huntsville, Alabama.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment

This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products. The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives.

Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions. Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users.

Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources. Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases.

Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements. Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources.

Support data quality, data lineage, data governance, and traceability requirements across analytics solutions. Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts.

Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments. Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer.

Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions. Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements.

Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments. Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics.

Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows. Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle.

Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs. Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail.

Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage. Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms.

Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets. Familiarity with agile delivery methodologies and iterative analytics development.Position Overview Under the guidance of the Program Manager, the Data Engineer/Data Analyst supports data engineering, analytics, reporting, and decision-support initiatives in a secure Department of War (DoW) environment. This position is responsible for designing, building, maintaining, and optimizing data solutions primarily within the Army Vantage Platform, while also leveraging Power BI for visualization, reporting, and integration with enterprise data products

The Data Engineer/Data Analyst will partner with mission stakeholders, analysts, developers, and platform teams through all phases of the data and analytics lifecycle, including requirements analysis, data ingestion, transformation, modeling, validation, visualization, troubleshooting, and sustainment. This role helps enable authoritative, scalable, and secure data products that improve operational insight, business intelligence, and decision-making across multiple Line of Business initiatives. Essential Functions, Responsibilities, and Duties Responsibilities include, but are not limited to: Analyze business requirements, functional requirements, and data specifications to design and develop scalable data and analytics solutions.

Design, build, and maintain data pipelines, curated data assets, analytical models, and reporting solutions within the Army Vantage Platform. Develop and support dashboards, reports, workflows, and operational data products for mission and business users. Leverage Power BI to create visualizations, dashboards, and executive-level reporting solutions using trusted and governed data sources.

Perform data transformation, cleansing, normalization, and enrichment across structured and semi-structured data sources. Design and implement logical and physical data models that support reporting, analysis, and operational use cases. Develop and optimize SQL queries, procedures, and transformations to support data integration and reporting requirements.

Troubleshoot data pipelines, analytics workflows, dashboards, and platform issues, including timely resolution of production problems. Collaborate with cross-functional teams to identify, acquire, validate, and govern data from multiple authoritative sources. Support data quality, data lineage, data governance, and traceability requirements across analytics solutions.

Prepare, model, visualize, and analyze data to provide meaningful reporting and decision-support capabilities aligned to customer and mission needs. Incorporate DoW security requirements, access controls, and data protection measures into analytics and modernization efforts. Participate in architecture discussions, solution reviews, and platform improvement efforts related to Army Vantage, Power BI, SQL-based systems, and enterprise data environments.

Develop, document, and implement data models for transactional systems, reporting solutions, dashboards, and enterprise analytics products. Produce clear technical documentation, user guidance, and solution artifacts to support sustainment and knowledge transfer. Communicate effectively with technical and non-technical stakeholders and deliver clear, accurate, and mission-relevant data solutions.

Work Experience, Knowledge, Skills, and Abilities Bachelor's degree in Computer Science, Data Engineering, Information Systems, Management Information Systems, Data Analytics, or a related field; or possess equivalent relevant experience. Minimum of 72 months of related experience aligned to the position requirements. Demonstrated experience building end-to-end data and analytics solutions in: o data integration o data transformation o data modeling o data warehousing o analytics o dashboarding and reporting Strong experience with Army Vantage Platform or comparable Palantir Foundry-based enterprise analytics environments.

Experience with Power BI, including dashboard development, semantic modeling, data shaping, DAX, and enterprise reporting. Experience working with Microsoft SQL Server, relational databases, and SQL development for reporting and analytics. Experience analyzing and transforming data using ETL/ELT techniques and platform-native data workflows.

Understanding of data governance, authoritative data sourcing, data lineage, and data stewardship principles. Demonstrated understanding of database architecture design patterns and the complete application development and analytics lifecycle. Ability to design solutions that provide meaningful, accurate, and mission-relevant business intelligence outputs.

Experience collaborating with analytics teams, application teams, and solution architects in a secure DoW environment. Excellent verbal and written communication skills, strong business acumen, exceptional interpersonal capabilities, and close attention to detail. Preferred Qualifications Experience building or maintaining data products, pipelines, and analytical workflows within Army Vantage.

Experience with Palantir Foundry concepts such as data pipelines, ontology-backed data products, lineage, governed access, and operational analytics workflows. Experience integrating or consuming Army Vantage data within Power BI or similar enterprise visualization platforms. Experience supporting data solutions for Army, DoW, readiness, logistics, financial, or operational mission sets.

Familiarity with agile delivery methodologies and iterative analytics development.