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Data Analytics Jobs (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... and Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions using Ab Initio for new data integration requests - Analyze and investigate data quality issues ...

State Street Corporation

Data Analytics

Boston, MA · On-site

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position include: Collaborating with all internal technical and business teams including SaaS Ops, Alpha Cloud ...

HD Supply

Manager, Data Analytics

Atlanta, GA

Manager, Data Analytics (Individual Contributor) Although this role currently carries a Manager, Data Analytics title, it should be viewed and recruited as a Principal/Staff-level Individual ...

State Street Global Advisors

Data Analytics

Boston, MA

$146K - $176K/yr

Data Analytics (State Street Bank and Trust Company; Boston, MA): Specific duties of the position include: Collaborating with all internal technical and business teams including SaaS Ops, Alpha Cloud ...

Podium Education

Data Analytics Instructor

Austin, TX · Remote

$4.0K/wk

Bring Data Analytics to life by incorporating real-world examples into our existing curriculum. * Lead one 90-minute LiveLab per week via Zoom for 100-200 students, at the same time each week for 12 ...

Amgen

Data Analytics Mgr

Thousand Oaks, CA · On-site +1

$118K - $145K/yr

Data Analytics Mgr Duties: Lead financial and resource planning by applying P&L, cash flow, and scenario/what-if modeling to drive critical business decisions, transformation initiatives, and ...

Samsung

Data Analytics Developer

San Jose, CA

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Hinds County Human Resource Agency

Be Seen First

Data Analytics Officer

Jackson, MS · On-site

$65K - $68K/yr

Collaborates with the admin leadership team to define data analysis and reporting plan and deliverables, school-facing data support, and norms on data practices. * Conducts descriptive analysis on ...

Samsung

Data Analytics Developer

San Jose, CA · On-site

Company Description We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

Our client is currently seeking a Data Analytics Analyst/Engineer- II Working Model: Hybrid - 3 days in office per week but this can be slightly flexible Targeted Years of Experience: 3-5 years ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Pacific Consolidated Industries LLC

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Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain, Finance, Information Systems, or related field. Three to Five years of progressively responsible ...

Zachry Group

Engineering Data Analytics

Houston, TX · On-site

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation (ZEC) is looking for a detail-oriented Engineering Data Analytics Specialist to support engineering ...

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How much do data analytics jobs pay per hour?

As of Aug 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 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.

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 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.

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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.
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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:

Who are the top companies hiring for Data Analytics jobs?

The top employers for 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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Re-posted 16 days ago

Job description


5 Years' Experience
- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.
- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions
- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.
- Must have hands-on Ab Initio ETL experience in a work (professional) setting.
- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.
- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
- Strong DB2/or any relational database, Java, and UNIX skills
- Understanding of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
The responsibilities include, but not limited to:
- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement
- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution
- Develop generic solutions using Ab Initio for new data integration requests
- Analyze and investigate data quality issues reported by Data Product teams
- Coordinate with Development and Prod Support team to investigate and address production issues
- Support releases by validating the data after deployments, as needed
Additional Skills:
- Excellent written and verbal communication
- Good to have hands on experience with CI/CD (Jenkins)
- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks

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