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Data Engineer Business Analyst Jobs (NOW HIRING)

M&J Engineering, D.P.C. is a quality provider of multi-disciplined consulting services with over ... M&J is seeking a Data/Business Analyst to provide analytical, data-driven insights to improve ...

We simplify communications and networking for business and government agencies. Our customers ... Experience with programming languages commonly used in data analysis (i.e. SQL, Python)

We simplify communications and networking for business and government agencies. Our customers ... Experience with programming languages commonly used in data analysis (i.e. SQL, Python)

The Automation Engineer will work closely with the AI Lead, AI Solutions Architect, Transformation PMO, Information Systems Lead, Data Engineer, Business Analyst, functional leaders, and Federated ...

Data Engineer

Frisco, TX

$107K - $128K/yr

Data Engineer Frisco TX Individuals within the Data Engineering role work closely with business stakeholders and EITS team members to understand the business requirements that drive the analysis and ...

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility ...

The Role As a Senior Data Engineer (B2B), you will own the development, maintenance, and evolution ... Measurement methodology and analysis design are owned by strategy and analytics partners, with this ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ... Partner with business stakeholders to understand data, reporting, and analytics requirements and ...

Develop a deep understanding of the organization's business capabilities, processes, systems, and data. * Analyze and re-engineer business processes to identify opportunities for improvement ...

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Data Engineer Business Analyst information

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How much do data engineer business analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for data engineer business analyst 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 a data engineer business analyst?

Data Engineer Business Analysts are professionals who bridge the gap between data engineering and business analysis. They design, build, and maintain data pipelines and infrastructure, while also interpreting and analyzing data to inform business decisions. Their role involves understanding business requirements, translating them into technical solutions, and ensuring that data is accurate, accessible, and useful for stakeholders. By combining technical and analytical skills, they help organizations make data-driven decisions and improve business processes.

What are the key skills and qualifications needed to thrive as a data engineer business analyst?

To thrive as a Data Engineer Business Analyst, you need a solid understanding of data modeling, SQL, analytics, and business process analysis, typically supported by a degree in computer science, information systems, or a related field. Familiarity with ETL tools, data warehousing platforms, and business intelligence systems like Tableau or Power BI, as well as certifications such as AWS Certified Data Analytics or Google Data Engineer, are highly valuable. Strong problem-solving abilities, effective communication, and cross-functional collaboration skills help bridge technical and business requirements. These competencies ensure that data-driven solutions are accurately designed, implemented, and aligned with organizational goals.

How do data engineer business analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Business Analysts often act as a bridge between technical and business teams, working closely with data scientists to ensure data pipelines deliver clean, usable data for analysis and model building. They regularly consult with business stakeholders to understand requirements and translate them into technical specifications, ensuring that data solutions align with organizational goals. Effective collaboration skills are essential, as the role involves facilitating communication, clarifying needs, and prioritizing tasks across departments. This teamwork fosters efficient project delivery and ensures data-driven solutions meet business objectives.

What is the difference between Data Engineer Business Analyst vs Data Analyst?

AspectData Engineer Business AnalystData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in data toolsBachelor's in Statistics, Math, or related; certifications in data visualization or analysis tools
Work EnvironmentData warehouses, cloud platforms, data pipelinesData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail
Common Search & ComparisonOften compared for data infrastructure and analysis rolesCompared for reporting and insights roles

The Data Engineer Business Analyst focuses on building data infrastructure and analyzing data to support business decisions, while the Data Analyst primarily interprets data to generate reports and insights. Both roles require strong analytical skills but differ in technical depth and focus areas.

Can a data engineer business analyst become a data engineer?

A data engineer business analyst can transition to a data engineer role by gaining technical skills in data pipeline development, programming languages like Python or SQL, and familiarity with tools such as Hadoop or Spark. Relevant experience in data modeling, ETL processes, and certifications can facilitate this career shift.

Who earns more, a data engineer or a business analyst?

Data engineers generally earn higher salaries than business analysts due to their specialized skills in data architecture, programming, and working with tools like SQL, Python, and cloud platforms. Business analysts typically focus on data interpretation, reporting, and process improvement, which usually commands a slightly lower salary. Salary differences can vary based on experience, industry, and location, but data engineering roles tend to be more highly compensated overall.

What cities are hiring for Data Engineer Business Analyst jobs?

Cities with the most Data Engineer Business Analyst job openings:

What states have the most Data Engineer Business Analyst jobs?

States with the most job openings for Data Engineer Business Analyst jobs include:

What are popular job titles related to Data Engineer Business Analyst jobs?

For Data Engineer Business Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Engineer Business Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Business Data Analyst with P&C Insurance

New York, NY • On-site

Capgemini
Technology, Communication and Media • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

98th of 226 rated it services


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Location : Jersey City, NJ (Onsite/Hybrid from Day 1)
Job Description
We are seeking an experienced Business Analyst with a strong background in Data Engineering and Data Warehousing projects and proven expertise within the Property & Casualty (P&C) Insurance domain. The ideal candidate will act as a bridge between business stakeholders, data engineering teams, architects, and IT organizations to ensure data-driven solutions align with business objectives and deliver measurable value.
This role requires a highly hands-on Data Business Analyst who is comfortable working with complex datasets, performing data profiling, analyzing source systems, creating pseudo code, defining transformation logic, and supporting end-to-end data initiatives. The candidate must possess a strong understanding of insurance data, data warehousing concepts, ETL/ELT processes, and modern cloud-based data platforms.
Key Responsibilities:
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Translate business requirements into functional and technical specifications for data engineering teams.
  • Define business rules, KPIs, success criteria, and data use cases.
  • Perform hands-on data profiling, data analysis, and data discovery to identify data quality issues, patterns, relationships, and business rules.
  • Create and document pseudo code, transformation logic, source-to-target mappings, and data processing rules.
  • Analyze and document data flows, data lineage, transformation logic, and integration requirements.
  • Work closely with Data Engineers, Architects, and Developers on data integration, ETL/ELT, data pipeline, and data warehousing initiatives.
  • Facilitate requirements workshops, stakeholder meetings, and solution review sessions.
  • Act as the primary liaison between business users, data teams, and IT stakeholders.
  • Define and validate test scenarios, test cases, acceptance criteria, and reconciliation requirements.
  • Participate in UAT, data validation, defect triage, and issue resolution activities.
  • Support data governance, data quality, security, compliance, and regulatory initiatives.
  • Work closely with P&C Insurance business teams to support initiatives related to underwriting, claims, policy administration, billing, analytics, and reporting.

Required Skills & Experience:
  • 8+ years of experience as a Business Systems Analyst or Business Analyst, with significant experience supporting Data Engineering or Data Warehousing projects.
  • Mandatory experience in the Property & Casualty (P&C) Insurance industry.
  • Proven hands-on experience performing Data profiling, Data Analysis, Data mapping, Data Validation, Data Reconciliation, creation of pseudo code & Transformation Logic.
  • Strong understanding of P&C Insurance business processes, including Policy Administration, Underwriting, Claims, Billing, and Insurance Data Management.
  • Strong understanding of Business Analysis methodologies, requirements management, and stakeholder engagement.
  • Solid understanding of data modeling concepts, including Star Schema and Snowflake Schema.
  • Experience working with data warehouses and data lake technologies such as Snowflake, Amazon Redshift, BigQuery, or similar platforms.
  • Exposure to cloud platforms including Azure, AWS, or GCP.
  • Experience with ETL/ELT tools such as Informatica, Talend, Azure Data Factory, AWS Glue, or similar technologies.
  • Familiarity with reporting and visualization tools such as Power BI, Tableau, and Excel.
  • Experience using JIRA, Azure DevOps, Visio, Lucidchart, or similar tools.

Must have Skills
  • P&C Insurance Domain Expertise
  • Data Engineering / Data Warehousing Projects
  • Advanced SQL
  • Data Profiling & Data Analysis
  • Data Mapping & Data Lineage
  • Pseudo Code Creation
  • ETL/ELT Processes
  • Source-to-Target Mapping
  • Business Requirements Gathering
  • Data Validation & Reconciliation
  • Snowflake / Redshift / BigQuery
  • Azure / AWS / GCP
  • Agile Methodologies

Preferred Qualifications:
  • Experience working in Agile/Scrum environments.
  • Understanding of API integrations, web services, and data exchange mechanisms.
  • Exposure to Big Data technologies such as Spark and Hadoop.
  • Knowledge of data governance, data privacy, and regulatory compliance frameworks.
  • Experience supporting P&C Insurance Data Modernization, Data Governance, Data Warehousing, or Analytics initiatives.
  • Knowledge of insurance data models and regulatory reporting requirements.
  • Bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related field.
  • Relevant certifications in Business Analysis, Agile, Cloud, Data Management, or Insurance are a plus.

The base compensation range for this role in the posted location is: 82786- 95383
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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