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Data Analytics

Santa Clara, CA · On-site

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1 ...

Navtech, Inc.

Data Analytics

Jersey City, NJ · Remote

I have an opportunity for "Data Analytics @ 100% Remote" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Kanak Elite Services Inc

Data Analytics

Malvern, PA · On-site

TITLE: MARKETING DATA/EXPERIMENTATION ANALYTICS (LEVEL 3) LOCATION: MALVERN, PA (HYBRID ROLE) RELOCATION IS FINE DURATION: INITIAL 6-12 MONTHS + OPTIONS TO EXTEND - LONG TERM CONTRACT ROLE ...

Subaru

Data Analytics Developer

Lafayette, IN

Data Analytics Developer Information Technology Department Position Summary: Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics ...

Samsung SDS

Data analytics architect

San Jose, CA

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 ...

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 ...

Everest

Data Analyst - Data & Analytics

Warren, NJ · Hybrid

$88K - $125K/yr

Data Analyst - Data & Analytics Company: Everest Global Services, Inc. Job Category ... Analytics About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We are seeking a detail-oriented and forward-thinking Data Analytics Specialist to join our team on a ...

Samsung SDSA

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 ...

Kia America

Data & Analytics Specialist

Irvine, CA · On-site

Status Exempt General Summary The Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America's Mobility and Remarketing business.

Kia America

Data & Analytics Specialist

Irvine, CA

Status Exempt General Summary The Data & Analytics Specialist plays an important role in executing data analysis and delivering insights to support Kia America's Mobility and Remarketing business.

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Data Analytics information

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$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jun 23, 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 job do you get with data analytics?

A career in data analytics can lead to roles such as Data Analyst, Business Analyst, Data Scientist, or Data Engineer. These positions involve analyzing data to support decision-making, often requiring skills in statistical tools, programming languages like Python or R, and data visualization software. Certifications like Certified Analytics Professional (CAP) can enhance job prospects.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst evolves with technology, requiring skills in programming, statistical analysis, and understanding AI capabilities, rather than being fully replaced by AI.

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 job of data analytics?

The job of data analytics involves examining large datasets to identify patterns, trends, and insights that support decision-making. Data analysts use tools like Excel, SQL, and visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and knowledge of statistical methods are essential for this role.

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.
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Data Analytics jobs near you

Data Analytics

Futran Tech Solutions Pvt. Ltd.

Santa Clarita, CA

Full-time

Posted 7 days ago

Job description

Job Description:
Location: Santa Clara, CA
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
Interview: BB test + L1 + 3 end customer round
Data Analytics role:
3 Positions:
1: Strong SQL, Tableau & Data Analytics
2. Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python
3. Strong SQL, Tableau ,Databricks and AWS with Domain specific

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