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Big 4 Data Analytics Jobs (NOW HIRING)

Motocol

Data analytics Architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Samsung SDS

Data analytics architect

San Jose, CA

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Samsung SDS

Data analytics architect

San Jose, CA

Design big data platform API; Provide guidance and mentor developers in the data analytics team; Skills: Required In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper)

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

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How much do big 4 data analytics jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for big 4 data analytics in the United States is $59.24, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $59.86 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Big 4 Data Analytics position, and why are they important?

To thrive in Big 4 Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and often a relevant degree such as in data science, computer science, or business. Familiarity with tools like SQL, Python, R, Tableau, and certifications such as CPA or data analytics credentials are commonly required. Excellent communication, teamwork, and problem-solving abilities help you excel in client-driven, collaborative environments. These skills ensure accurate, data-driven insights for clients and effective collaboration within cross-functional consulting teams.

What is a Big 4 Data Analytics job?

A Big 4 Data Analytics job involves analyzing large datasets to provide insights that help clients make informed business decisions. Professionals in this role use tools like SQL, Python, R, and visualization software such as Power BI or Tableau to interpret trends and patterns. They work across industries, supporting audit, advisory, and consulting teams with data-driven solutions. Strong analytical skills and knowledge of statistical methods are essential.

What are the typical career advancement opportunities for someone in a Big 4 Data Analytics role?

Professionals in Big 4 Data Analytics can expect a well-defined career progression, often starting as analysts or associates and moving up to senior analyst, manager, or director positions. Advancement is typically based on technical expertise, leadership skills, and the ability to manage client projects successfully. Employees are also encouraged to pursue certifications and training, which can lead to specialized roles or opportunities to work on high-profile, international projects. High performers may eventually transition into senior leadership roles or develop expertise in niche areas such as forensic analytics, risk management, or artificial intelligence.

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Big 4 Data Analytics jobs near you
Data analytics Architect

Data analytics Architect

Motocol

San Jose, CA

Full-time

Posted 29 days ago

Job description

Company Description

Motocol is recruiting for our client

Job Description

Our client is seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.

Qualifications

Responsibilities:

Collaborate with business analysts and data scientists in eliciting and articulating solution requirements;


Design scalable data analytics platform and solutions;


Make architectural decisions for the data analytics platform and solutions;


Assess, benchmark and select data analytics technologies to be added to the big data platform;


Support development lead in determining architecturally significant requirements for data analytics solutions;


Design big data platform API;


Provide guidance and mentor developers in the data analytics team

Required Experience: 10+ years


Mandatory Skills:


In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);

Experience with Business Intelligence frameworks and ETL tools;

Proficiency in the Java programming language;

Proficiency in the Unified Modeling Language;

Experience with RDBMS and SQL;

Experience architecting systems following the REST architectural style;

Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);

Practical experience with the Scala programming language (desirable);

Practical experience with the Play web framework (desirable);

High-level knowledge on the Spark eco-system;

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required

Additional Information

All your information will be kept confidential according to EEO guidelines.

Location: San Jose, CA.

Salary Range: $ 115,000 - $ 145,000

H1B candidates, please apply

Type of Employment: Exempt

No travel required

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