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Deloitte Data Analyst information

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$34K

$82.6K

$136K

How much do deloitte data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for deloitte data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deloitte Data Analyst, and why are they important?

To excel as a Deloitte Data Analyst, you need strong analytical abilities, a solid understanding of statistics, and a degree in a quantitative field such as mathematics, economics, or computer science. Proficiency with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with familiarity with data governance and reporting systems. Strong problem-solving skills, attention to detail, and effective communication enable you to interpret data insights and collaborate with stakeholders. These competencies are crucial for delivering actionable recommendations that drive business value and support client decision-making in a consulting environment.

What is the difference between Deloitte Data Analyst vs PwC Data Analyst?

AspectDeloitte Data AnalystPwC Data Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; often certifications like Microsoft Excel, Power BIBachelor's in Analytics, Statistics, or related; similar certifications preferred
Work EnvironmentConsulting firms, client sites, corporate officesConsulting firms, client sites, corporate offices
Employer & Industry UsageMajor consulting firms, finance, technology, healthcareMajor consulting firms, finance, technology, healthcare
Common Search & ComparisonYesYes

The Deloitte Data Analyst and PwC Data Analyst roles share similar credentials, work environments, and industry usage. Both positions involve analyzing data to support business decisions within consulting firms and various industries. The main differences are often related to specific client projects or internal processes, but overall, they are comparable roles in the professional services sector.

What does a Deloitte Data Analyst do?

A Deloitte Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help clients make informed business decisions. They use various analytical tools and techniques to identify trends, generate insights, and present actionable recommendations. Data Analysts at Deloitte often work in teams, collaborating with consultants and clients from different industries. Their work helps organizations improve performance, optimize operations, and achieve strategic goals.

How does a Deloitte Data Analyst typically collaborate with cross-functional teams on client projects?

As a Deloitte Data Analyst, you’ll frequently work alongside consultants, data engineers, and subject matter experts to deliver solutions tailored to client needs. Collaboration often involves translating business requirements into analytical tasks, presenting data-driven insights, and participating in team meetings to discuss progress and challenges. You may also support workshops or client presentations, ensuring findings are clearly communicated to both technical and non-technical stakeholders. This cross-functional teamwork is integral to Deloitte’s project-based environment and fosters both professional growth and a broad understanding of various industries.
More about Deloitte Data Analyst jobs
What cities are hiring for Deloitte Data Analyst jobs? Cities with the most Deloitte Data Analyst job openings:
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Deloitte Data Analyst jobs near you
Infographic showing various Deloitte Data Analyst job openings in the United States as of May 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation

ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation

Deloitte

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is seeking a Data Operations Engineer for their Converge for Healthcare's Expert Services team. In this role, you will connect client source data to the foundational data models powering Deloitte's Data Studio platform, focusing on building and optimizing cloud-native data pipelines for healthcare analytics products.
Responsibilities:
• Data integration & pipeline engineering. Design, build, and optimize cloud-native ETL/ELT pipelines that ingest client source data and conform it to the Data Studio platform's foundational data model - making real-world healthcare data ready to power production analytics.
• Data validation, profiling & quality. Profile, validate, and QA large, complex healthcare datasets for accuracy, completeness, and conformance to platform standards; combine traditional debugging with LLM-enabled data exploration and ML-based anomaly detection to find and resolve issues faster than manual approaches allow, partnering with client and Deloitte teams as needed when integration issues require it.
• Analytics & insight enablement. Develop the analytics layer of the Data Studio platform - including BI dashboards, self-service reporting, and ML Lab workflows - putting validated, production-ready data in the hands of consulting teams and clients.
• Automation & orchestration. Implement and maintain workflow automation, monitoring, and alerting using event-driven architectures and orchestration tools, with the goal of building systems that run reliably without constant intervention.
• Product collaboration & solution evolution. Act as a hands-on technical voice into the Data Studio platform's evolution - translating real-world delivery learnings into concrete product, data model, and platform enhancement opportunities, and partnering with product and engineering teams to validate and pressure-test new capabilities before they ship.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, Health Informatics, or a related technical discipline
• 3+ years of hands-on experience with data operations, ETL/ELT development, and cloud-native data integration
• 3+ years of expert-level SQL experience
• 2+ years of Python experience
• Ability to travel up to 15%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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