Senior-Visual Analytics Engineer

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 Description

About the job you’re considering

 

As a Power BI Analytics Engineer, you are responsible for designing, creating, and deploying analytical assets, including data connections, semantic models, data products, visualizations, and reports/dashboards.

 

Your role:

• Work closely with stakeholders to identify business & technical requirements.
• Source, transform, prepare, secure, and validate data for analysis.
• Design and manage semantic models.
• Leverage Power Query and Data Analysis Expressions (DAX).
• Optimize data connections for performance and cost mitigation.
• Deliver substantial business value through well-aligned, insightful visualizations.
• Design powerful dashboards to provide enterprise visibility and full functionality.
• Enable various types of users to perform self-service analytics.
• Collaborate with architects, analysts, data engineers, and administrators.

Job Description - Grade Specific

 

Your Skills and Experience

 

• 5+ years of Microsoft Power BI experience plus Microsoft certifications
• Strong SQL and data analysis skills
• Strong business communication skills
• Advanced visual analytics development skills
• Expert-level data preparation skills
• Analytics development lifecycle knowledge
• Analytics performance optimization skills
• Troubleshooting & Error Resolution skills
• Flexible with changing priorities and timelines
• Hybrid work locations (remote, office, client travel)
• Microsoft Fabric and Azure knowledge
• Data Management knowledge (e.g., Databricks, Snowflake, Google BigQuery)
• Experience with other leading BI & Analytics tools (e.g., Tableau, Looker)
• Embedded Analytics & Mobile Deployment experience
• UX/UI Visual Design knowledge
• Python

The base compensation range for this role in the posted location is:$120,000 to 130,000.

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 a