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Data And Analytics Jobs (NOW HIRING)

Amentum

Data Analytics Specialist

Indiana, PA · On-site

$100 - $160/hr

We are seeking a highly skilled Data Analytics Specialist with 2-5 years of experience in data engineering and analytics. The ideal candidate will have strong expertise with toolsets for data mining ...

New

American Express

Director, Data Analytics

Manhattan, NY · On-site

$186K - $256K/yr

American Express Company seeks Director, Data Analytics to provide data-intensive, strategic assessments of products and respond to portfolio-specific business questions. Responsibilities Develop and ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

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 ...

Corning

Analyst, Data & Analytics

Corning, NY · On-site

$94K - $129K/yr

... Analytics, or related). * Minimum of 3 years of experience * Proficiency in Python (or another programming language) for data analysis, automation, and process improvement. * Strong Excel skills ...

Walgreens

Analyst Data Analytics

Deerfield, IL · On-site

$63K - $101K/yr

Utilizes query based tools to create and run queries used for data mining and analytics to support other job responsibilities and ad hoc projects. * Performs specific tasks identified in the ...

RWE

Data Analytics Lead

Oakland, CA · 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 ...

Aramark

Data Analytics Analyst

Pittsburgh, PA

Point person for enhancing customized in-house analytics tools to build reports * Support ... Apply a high degree of qualitative and quantitative analytical skills in analyzing data to find key ...

New

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

Aramark

Data Analytics Analyst

Pittsburgh, PA

Point person for enhancing customized in-house analytics tools to build reports * Support ... Apply a high degree of qualitative and quantitative analytical skills in analyzing data to find key ...

Samsung SDS

Data Analytics Developer

San Jose, CA · On-site

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.

Biogen

Director, Data & Analytics

Cambridge, MA · On-site

$191K - $263K/yr

We're looking for a Director, Data & Analytics to build and lead the analytics strategy that powers Finance, Procurement, HR, and Legal, with Finance/FP&A as the primary focus. Reporting to the Vice ...

Samsung SDSA

Data analytics developer

San Jose, CA · On-site

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 and the Hadoop stack.

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How much do data and analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data and 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 and analytics?

Data and analytics refers to the process of collecting, processing, and analyzing large sets of data to extract valuable insights that inform business decisions. This field encompasses techniques such as data mining, statistical analysis, and the use of specialized software tools to interpret trends and patterns. Professionals in data and analytics help organizations make evidence-based choices, improve efficiency, and gain a competitive edge. Their work can impact various areas, including marketing, finance, operations, and more.

What are some common challenges faced by professionals in data and analytics roles, and how can they be addressed?

Professionals in Data and Analytics often face challenges such as managing large volumes of complex data, ensuring data quality, and translating technical findings into actionable business insights. These challenges can be addressed by developing strong data management practices, using robust data cleaning and validation tools, and improving communication skills to present analytics results to non-technical stakeholders. Collaborating closely with cross-functional teams and staying updated on the latest analytics technologies also help in overcoming these hurdles and delivering impactful results.

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

To thrive in Data and Analytics, you need a strong background in statistics, data modeling, and analytical reasoning, often supported by a relevant degree in mathematics, computer science, or a related field. Experience with tools and platforms such as SQL, Python, R, Tableau, and data warehousing systems is typically required, and certifications like Certified Analytics Professional (CAP) or Google Data Analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for driving data-driven decision-making and delivering measurable business value.

What is the difference between Data And Analytics vs Data Analyst?

AspectData And AnalyticsData Analyst
CredentialsOften requires degrees in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a bachelor's degree in data-related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentWorks with large datasets, data warehouses, and analytics tools across departmentsFocuses on data cleaning, visualization, and reporting for specific projects
Industry UsageUsed across industries for strategic insights and decision-makingCommonly employed in business, finance, healthcare for operational analysis

While Data And Analytics professionals develop comprehensive data strategies and work with complex tools, Data Analysts focus on interpreting data, creating reports, and providing actionable insights. Both roles are essential but differ in scope and depth of data handling.

Is data and analytics a good career?

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

What does a data and analytics job do?

A data and analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Professionals in this field use tools like SQL, Python, or Tableau to interpret data trends and generate reports, often requiring strong analytical skills and knowledge of data management. The role may also include data visualization, data cleaning, and ensuring data accuracy to support strategic planning.

What jobs are there in data and analytics?

Jobs in data and analytics include roles such as Data Analyst, Data Scientist, Data Engineer, Business Intelligence Analyst, and Analytics Manager. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.
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Cities with the most Data And Analytics job openings:

What are the most commonly searched types of Data And Analytics jobs?

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What states have the most Data And Analytics jobs?

States with the most job openings for Data And Analytics jobs include:

Data And Analytics jobs near you
Infographic showing various Data And 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 Developer

TechOp Solutions International

Washington, DC • On-site

Full-time

Re-posted 5 days ago

Job description

We are seeking a detail-oriented Data Analyst to join our team and contribute to our data-driven decision-making processes. The candidate will support the U.S. Customs and Border Protection's Power Platform team by developing, maintaining, and enhancing Power BI dashboards, improving the structure of Excel, SharePoint, and SQL databases that feed into the Power BI dashboards, and creating ETL (Extract, Transform, Load) processes to facilitate the movement of data from legacy databases such as Excel and SharePoint to modernized databases such as SQL. The team's current Power Platform solutions are utilized by 10,000+ users annually. The ideal candidate will possess a strong analytical mindset coupled with experience in database management or data migration (ETL).
Requirements
  • Collect, clean, and organize data from various sources into Power BI dashboards to display actionable insights to leadership and identify trends, patterns, and anomalies
  • Perform detailed analysis of datasets using Excel and other analytical tools to derive actionable insights
  • Manage Excel, SharePoint, and SQL database structures that store data fed to the Power BI dashboards
  • Present findings and insights to key stakeholders in a clear and understandable manner, using Excel and Power BI
  • Extract, transform, and load data from legacy databases such as Excel, SharePoint, and Access Databases to modernized databases
  • Replace ETL technology such as R-Studio and Informatica with Power Automate
  • Advanced proficiency with Microsoft PowerBI
  • Advanced proficiency with Microsoft Excel
  • Intermediate proficiency with SQL
  • Beginner proficiency with Relationship Database Management Systems (RDMS) architecture and database administration
  • Desirable Skills:
  • Beginner / Intermediate proficiency with Power Automate
  • Beginner proficiency with ETL technology such as R, Python, SQL, or SSIS
  • Functional Application Development Documentation proficiency

Apply