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Freelance Data Analyst Developer Jobs (NOW HIRING)

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 ...

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 ...

... programming language (SQL, PLSQL, R, Python, etc) * 2+ years' experience in data analytics on any ... data warehouse (Oracle, SQL, Snowflake) * Healthcare experience a plus * Agile/SAFe experience a ...

Partner closely with Product, Marketing, and Engineering teams to define measurement strategies ... Strong proficiency in at least one programming language for data analysis (e.g., Python, R)

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 ...

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Partnership with analytics engineering * Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical ...

Partnership with analytics engineering * Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical ...

Analyze warranty, returns, voice of customer data, and engineering project data to identify trends ... and improvement opportunities. * Build and automate recurring data pipelines using Power Query ...

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... You''ll work with data from AWS, Azure, and Google Cloud Platform (Google Cloud Platform), as well ...

Partnership with analytics engineering * Work closely with analytics engineers on data modeling. You'll shape what gets built in the warehouse layer, not just consume it. * Turn recurring analytical ...

Minimum requirements * 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role * Proficiency in SQL, including ...

Minimum requirements * 6+ years of full-time experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or a related analytical role * Proficiency in SQL, including ...

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Freelance Data Analyst Developer information

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

As of Sep 14, 2026, the average hourly pay for freelance 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 Freelance Data Analyst Developer vs Freelance Data Scientist?

AspectFreelance Data Analyst DeveloperFreelance Data Scientist
CredentialsTypically requires data analysis, programming, and database skills; certifications like Microsoft Data Analyst or SQL certifications are common.Requires advanced statistical, machine learning, and programming skills; certifications like Certified Data Scientist or Python/R expertise are common.
Work EnvironmentOften works on project-based tasks involving data cleaning, visualization, and reporting for clients across industries.Focuses on predictive modeling, complex analytics, and research-driven projects for diverse sectors.
Employer & Industry UsageFreelance Data Analyst Developers are hired by businesses needing data insights and reporting.Freelance Data Scientists are engaged for advanced analytics, AI, and machine learning solutions.

While both roles involve data work, Freelance Data Analyst Developers focus on data processing and visualization, whereas Freelance Data Scientists handle complex modeling and predictive analytics. The choice depends on project complexity and required expertise.

What cities are hiring for Freelance Data Analyst Developer jobs?

Cities with the most Freelance 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 Freelance Data Analyst Developer jobs?

States with the most job openings for Freelance Data Analyst Developer jobs include:

What are popular job titles related to Freelance Data Analyst Developer jobs?

For Freelance Data Analyst Developer jobs, the most frequently searched job titles are:

DATA ENGINEER/DATA ANALYST

Huntsville, AL • On-site

Full-time

Re-posted 29 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.