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Data Analytics Jobs (NOW HIRING)

Samsung SDS

Data Analytics Developer

San Jose, CA

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

Data Analytics Analyst 3 Location: 10 Peachtree Place NE Suite 1000 Atlanta GA 30309 Duration: 10 Months Client: Southern Company Gas Position Overview We are seeking an experienced Data Analytics ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth ...

Sralab

Manager, Data Analytics

Chicago, IL

Summary The Manager, Data Analytics will provide data analytics services to help solve business problems, drive value, and gain strategy and insight from information. Use advanced data analysis ...

University Health

Data Analytics Manager

San Antonio, TX

$36.66 - $60.70/hr

POSITION SUMMARY/RESPONSIBILITIES Oversees analytical support and data innovation for organizational insight and discovery using various data sources across operational functions for use in promoting ...

Further

Data & Analytics Strategy

Cleveland, OH · On-site

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

Further

Data & Analytics Strategy

Cleveland, OH · Hybrid

What experience should you have: * 10-15 years of experience in full scale customer journey and data ecosystems, with a track record of designing comprehensive analytics, measurement, and ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer ...

MoonPay

Director, Data & Analytics

New York, NY

$410K/yr

You'll grow a function spanning Data Science, Analytics Engineering, and Data Analysts, hiring across levels and shaping how these three disciplines work together as one team. You'll set the bar for ...

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Data Analytics information

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How much do data analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
More about Data Analytics jobs
What cities are hiring for Data Analytics jobs? Cities with the most Data Analytics job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics jobs? States with the most job openings for Data Analytics jobs include:
What job categories do people searching Data Analytics jobs look for? The top searched job categories for Data Analytics jobs are:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics Developer

Samsung SDS

San Jose, CA

Full-time

Medical, Dental, Vision

Re-posted 28 days ago

Samsung SDS America rating

7.1

Company rating: 7.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

145th of 221 rated it services

Job description

Company Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

Samsung SDSA: Corporate Culture

Because we thrive with innovation, we work to create an environment that supports inventive, world-changing imagination. We look for individuals to thrive in this environment; who are excited to inspire the world with innovation and have a challenge-oriented mindset to push boundaries and exceed expectations. We look for technology enthusiasts, entrepreneurs, early adopters and innovators. Most importantly, we are searching for individuals who are just as excited about the future as we are.

Samsung SDSA: Benefits

At Samsung SDSA, our people give us the competitive edge that allows us to succeed. We operate with the fundamental value that "A company is its people". To honor this, we offer attractive employment benefits to ensure that our employees are made "whole".

Competitive salary

Year-end performance bonuses

Excellent medical, dental & vision healthcare package

Fitness program incentive

Samsung product discounts


In addition, we provide training, additional education and mentorship for all of our employees. 

Here at SDSA, our philosophy is simple. We are dedicated to giving our people a wealth of opportunities in order to succeed.


Job Description

Position Summary:

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies.

Qualifications

Responsibilities:

  • Making low-level design decisions;
  • Developing source code according to specifications;
  • Unit-testing code;
  • Applying agile development practices;
  • Contribute to design discussions and decisions on application architecture and development, algorithm design, highly-available application services, and reliable APIs;
  • Implementing continuous integration practice;

Mandatory Skills:

  • Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;
  • Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;
  • Excellent object-oriented analysis and design skills and using proven architectural patterns;
  • Must have practical experience with distributed computing frameworks such Hadoop, Spark and Akka;
  • Experience with serialization frameworks such as Avro and Protocol Buffers;
  • Experience developing systems following the REST architectural style;
  • Knowledge of relation database concepts and SQL;
  • Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;
  • Practical experience with build frameworks such as Maven and sbt;
  • Practical experience with the Scala programming language (desirable);
  • B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Additional Information

Tetiana (Tanya) Danylevska

HR/Talent Acquisition

Samsung SDSA



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