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Big 4 Data Analytics Jobs (NOW HIRING)

Programmers.io

Data Analytics

Santa Clara, CA · On-site

1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4.    Candidate should be able to assist ...

Samsung

Data Analytics Developer

San Jose, CA

The candidate is expected to be a self-learner as it relates to new big data analytics technologies Must have extensive experience and excellent expertise in Java based server-side high-performance ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

The candidate is expected to be a self-learner as it relates to new big data analytics technologies • Must have extensive experience and excellent expertise in Java based server-side high ...

RWE

Data Analytics Lead

Oakland, CA

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

RWE

Data Analytics Lead

Chicago, IL

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

RWE

Data Analytics Lead

Austin, TX

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

SQL (Teradata), Google Cloud Platform, Big Query, Gitlab, DESIRED SKILLS: Python, Statistics EDUCATION/CERTIFICATIONS: Bachelors or Masters in Computer Science / Data Science / Business Analytics By ...

RWE

Data Analytics Lead

Austin, TX · On-site

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Sonoma Consulting Inc.

Big Data Developer

Phoenix, AZ

$52.50 - $68.25/hr

... and data analytics. Since its inception, Halo Group has been recognized for numerous awards ... At least 4 years of experience in SDLC methodologies such as Waterfall or Agile (preferred) At ...

Collabera

Lead Datawarehouse /Big Data

Torrance, CA · On-site

Informatica9.5.1, RedHad Linux6.4, AutoSys * Netezza / IBM Pure Data Anatytics 7.x, Strong pluses ... Predictive analytics experience is a PLUS Requirements: * Past work experience on h/w, s/w configs ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Intellectually curious about new data tools and data analytics/science strategies * Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

Fun, collaborative, in-office culture at our HQ with catered lunches and big company perks with the ... Used by over 4,000 globally known companies including ~15% of the Fortune 500 Powered by JazzHR ...

BankUnited

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

... and AWS 'big data' technologies * Combines raw information from different sources to create ... At least 4 years working with data modeling, software implementation, enhanced reporting analytics ...

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Big 4 Data Analytics information

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

As of Jul 24, 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.

Will AI replace a data analyst?

Big 4 data analysts use AI tools to automate data processing and generate insights, but AI is unlikely to fully replace the role. Data analysts' skills in interpreting complex data, understanding business context, and communicating findings remain essential. AI serves as a complement, enhancing efficiency but not eliminating the need for human judgment and expertise.

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 jobs can you get with level 4 data analyst?

A level 4 data analyst typically qualifies for advanced roles such as senior data analyst, data scientist, or analytics lead. These positions involve complex data modeling, statistical analysis, and the use of tools like SQL, Python, or R, often requiring relevant certifications and experience. Such roles may also involve team leadership and strategic decision-making responsibilities.

Is big data analytics a good career?

Big Data Analytics is a growing field with strong demand for professionals skilled in data analysis, programming, and tools like SQL, Python, and Hadoop. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Analytics Lead tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, and often involve overseeing large teams and strategic decision-making.

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.

More about Big 4 Data Analytics jobs
What cities are hiring for Big 4 Data Analytics jobs? Cities with the most Big 4 Data Analytics job openings:
What states have the most Big 4 Data Analytics jobs? States with the most job openings for Big 4 Data Analytics jobs include:
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Big 4 Data Analytics jobs near you
Infographic showing various Big 4 Data Analytics job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 28% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $123,210 per year, or $59.2 per hour.
Data Analytics

Data Analytics

Programmers.io

Santa Clara, CA • On-site

Full-time

Posted 9 days ago

Job description

Job Description: 

1.    Strong in advance SQL

2.    Good at data analysis

3.    Should be able to build BI dashboards using Tableau & Power BI

4.    Candidate should be able to assist business stakeholders to build their dashboards

•     Supply chain domain knowledge