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30d ago

Data Analytics Engineer - Techno functional

Capgemini Sogeti Atlanta, GA

Atlanta, GA

30d ago Closed

$103k - $129k/yr Full time Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Aug 11, 2026).

Job Description

Capgemini Sogeti is seeking a Data Analytics Engineer who blends the disciplines of data engineering and business analytics to deliver scalable data platforms and actionable insights. Located in Alpharetta, GA with Day One onsite involvement and a hybrid work setup, the role collaborates across technology and business teams to transform data into strategic guidance that informs decisions.

Responsibilities

Work with business stakeholders to establish key metrics and data requirements
Architect, develop, and maintain data pipelines and ETL workflows that support analytics and reporting
Translate complex datasets into clear, business-focused insights and recommendations
Create and sustain dashboards, reports, and visualizations
Maintain data accuracy, consistency, and governance across platforms
Conduct deep-dive analyses to uncover trends, risks, and opportunities
Collaborate with data scientists, product managers, and business teams to advance strategic initiatives

Requirements

Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field
8 years of experience in data engineering and analytics roles
Strong proficiency in SQL and analytics tools
Proven experience in financial services and wealth management with expertise in stock plans, financial data, crypto, and related business processes
Hands-on experience with data warehousing solutions such as Snowflake
Solid understanding of data modeling, architecture, and governance principles
Excellent communication and collaboration skills

Technologies

SQL
Snowflake
Dataiku
AWS
Azure
GCP

Benefits

Flexible work arrangements
Healthcare coverage including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Stock Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family-building benefits including adoption assistance, surrogacy, and cryopreservation
Subsidized back-up child and elder care, tutoring, and other social well-being benefits
Mentoring, coaching, and learning programs
Employee Resource Groups and disaster relief support
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
Additional benefits as provided by local policy and eligibility

About the Role

This role is designed for a versatile, results-driven Data Analytics Engineer who combines the technical depth of data engineering with the strategic insight of business analytics. You will understand business functions, develop scalable data solutions, support analytics initiatives, and deliver actionable insights to stakeholders in a hybrid work environment.

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1mo ago

Data Analytics Engineer - Techno functional

Capgemini Atlanta, GA

Atlanta, GA

1mo ago Closed

$103k - $129k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

Hybrid Data Analytics Engineer role in Atlanta, GA (hybrid) blending data engineering with business analytics to craft scalable data solutions and deliver actionable insights.

Responsibilities

Collaborate with business stakeholders to define key metrics, KPIs, and data requirements
Design, build, and maintain efficient data pipelines and ETL processes to support analytics and reporting
Translate complex datasets into clear, business-oriented insights and recommendations
Create and maintain dashboards, reports, and visualizations
Ensure data accuracy, consistency, and governance across multiple platforms
Conduct deep dive analyses to identify trends, risks, and opportunities
Partner with data scientists, product managers, and business teams to support strategic initiatives

Required Qualifications

Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field
8 years of experience in data engineering and analytics roles
Strong proficiency with SQL and analytics tools
Proven experience in financial services and wealth management, with expertise in stock plans, financial data, crypto, and related business processes
Hands-on experience with data warehousing solutions such as Snowflake
Solid understanding of data modeling, architecture, and governance principles
Excellent communication and collaboration skills

Technologies

SQL analytics tools
Snowflake
Dataiku
AWS, Azure, and Google Cloud Platform (GCP)

Preferred Skills

Experience with cloud platforms such as AWS, Azure, and GCP
Familiarity with analytics tools like Dataiku
Prior experience working with Wealth Management teams

Compensation

Salary range: USD 103,330 - 128,656 per year

Life at Capgemini

Flexible work arrangements
Comprehensive healthcare coverage including dental, vision, and mental health programs
Financial well-being benefits such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits including adoption assistance, surrogacy, and cryopreservation
Social well-being programs like subsidized back-up child and elder care, plus tutoring support
Mentoring, coaching, and ongoing learning opportunities
Employee Resource Groups
Disaster relief support

About the Role

A versatile, results-driven data analytics engineer to join the team
This hybrid position combines deep data engineering expertise with strategic business analytics to understand functions, build scalable data solutions, and deliver actionable insights

Disclaimer

Capgemini is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity or expression, age, religion, disability, sexual orientation, or any other characteristic protected by law.

Salary Transparency

Salary range information is disclosed to comply with pay transparency obligations. The stated range reflects the current estimate of compensation for this role and may be adjusted based on factors such as location, experience, and business needs.

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Dataiku Engineer Jobs

Data Analytics Engineer - Techno functional

Data Analytics Engineer - Techno functional

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