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Advanced Data Analytics Jobs (NOW HIRING)

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the ... Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ...

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

This role will focus on advanced data analysis, performance measurement, data consolidation across multiple systems, and the development and maintenance of tools that improve data quality and ...

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

This role will focus on advanced data analysis, performance measurement, data consolidation across multiple systems, and the development and maintenance of tools that improve data quality and ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the ... Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ...

Walmart

(USA) Senior Manager, Data Analytics

Rogers, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

Walmart

(USA) Senior Manager, Data Analytics

Tontitown, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

Walmart

(USA) Senior Manager, Data Analytics

Gravette, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

Walmart

(USA) Senior Manager, Data Analytics

Decatur, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

Walmart

(USA) Senior Manager, Data Analytics

Elkins, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

Walmart

(USA) Senior Manager, Data Analytics

Johnson, AR · On-site

$90K - $180K/yr

The Senior Manager, Data Analytics at Walmart leads the development and execution of advanced data strategies to support business objectives. This role requires expertise in data sourcing, quality ...

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Advanced Data Analytics information

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How much do advanced data analytics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for advanced 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 advanced data analytics?

Advanced data analytics refers to the use of sophisticated techniques and tools to analyze large and complex datasets. These techniques often include machine learning, predictive modeling, data mining, and statistical analysis to uncover patterns, trends, and insights that can inform decision-making. Professionals in advanced data analytics use programming languages such as Python or R, and work with big data platforms to process and interpret data. The goal is to derive actionable intelligence that can drive business strategies and innovation.

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

To excel in Advanced Data Analytics, you need strong quantitative skills, expertise in statistics, and a solid background in mathematics or computer science, usually demonstrated by a relevant degree. Proficiency with programming languages like Python or R, data visualization tools such as Tableau or Power BI, and familiarity with big data platforms (e.g., Hadoop, Spark) are commonly required, along with certifications like Microsoft Certified: Data Analyst Associate. Analytical thinking, effective communication, and problem-solving abilities are crucial soft skills that set top professionals apart. These competencies enable analysts to extract actionable insights from complex data, drive decision-making, and support organizational goals.

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

Professionals in Advanced Data Analytics often encounter challenges such as managing and cleaning large, complex datasets, ensuring data accuracy, and communicating technical findings to non-technical stakeholders. Addressing these challenges typically involves developing strong data preprocessing skills, using robust data validation methods, and honing the ability to translate analytical insights into clear, actionable recommendations. Collaborating closely with cross-functional teams also helps ensure alignment on project goals and data interpretation.

What is the difference between Advanced Data Analytics vs Data Scientist?

AspectAdvanced Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes programming skills
Work EnvironmentBusiness, finance, marketing teams focusing on data-driven decision makingResearch, development, and modeling in tech, finance, or healthcare sectors
Employer & Industry UsageUsed across industries for insights and reportingUsed for building models, algorithms, and predictive analytics

While both roles involve working with data, Advanced Data Analytics focuses on analyzing large datasets to generate insights and support decision-making. Data Scientists often develop models and algorithms to predict future trends. The roles overlap but differ mainly in scope and focus, with Data Scientists typically engaging in more complex modeling and programming tasks.

More about Advanced Data Analytics jobs

What states have the most Advanced Data Analytics jobs?

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

What job categories do people searching Advanced Data Analytics jobs look for?

The top searched job categories for Advanced Data Analytics jobs are:

Advanced Data Analytics jobs near you
Infographic showing various Advanced 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Data Analyst

Data Intelligence LLC

Quantico, VA • On-site

$91K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.
Key Responsibilities
  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:
  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:
Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.
Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.
Why you should join us:
Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

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