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Advanced Data Analytics Jobs (NOW HIRING)

The ideal candidate will have extensive investigative experience and advanced analytics expertise ... Collaborate with HSI Data SMEs, Senior Data Visualization Developers, Program Manager, and law ...

Senior Advanced Data Analyst

Washington, DC

$97K - $122K/yr

Apply predictive and advanced analytics to reveal trafficking and smuggling trends, cross-border ... Collaborate with HSI Data SMEs, Senior Data Visualization Developers, Program Manager, and law ...

As a Principal Advanced Analytics, you'll serve as the measurement engine behind the Mass Markets ... Data Analysis and Interpretation: Gather, analyze, and interpret diverse data sets to solve a ...

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 ...

Senior Data Analyst

Quantico, VA

$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 ...

... advanced mathematical, statistical, and scientific techniques to: Examine complex mission and operational problem sets Create insights from large, complex datasets • Support data analytics, 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 ...

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 ...

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough ...

Showing results 21-40

Advanced Data Analytics information

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How much do advanced data analytics jobs pay per hour?

As of Aug 15, 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 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 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 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.

What is an advanced data analyst?

An advanced data analyst is a professional who uses complex statistical methods, programming skills, and data visualization tools to interpret large and complex datasets. They often work with software like Python, R, or SQL and may hold certifications such as Certified Analytics Professional (CAP) to enhance their expertise.

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.
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:

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, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Manager, Advanced Data Analytics and Insights

Fidelity Investments

Boston, MA

$126K - $166K/yr

Full-time

Re-posted 13 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Position Description:

Partners with consumers of the analytics data platform to gather requirements and translate them into clear specifications for data engineers to ensure appropriate data products are developed. Contributes to product design discussions and supports adherence to established product standards during development. Validates and quality-checks newly built data tables to confirm accuracy, completeness, and readiness for use. Builds dashboards, scorecards, and reports using visualization tools including Tableau, Power BI, Qlik, Looker, Amazon Web Services (AWS) Quicksight, and Data Studio. Programs data-processing and analytics components using Structured Query Language (SQL), Python, R, and

related technologies to support business-intelligence needs.

Primary Responsibilities:

  • Defines and leads enterprise-level data strategy and analytics initiatives.

  • Develops and implements advanced analytical frameworks.

  • Designs, develops, and maintains scalable data and software solutions using Agile methodologies.

  • Develops and maintains cloud-based analytics environments and applications using AWS services.

  • Designs and implements digital analytics solutions using Adobe Analytics to monitor user behavior and digital performance.

  • Transforms complex quantitative and qualitative data into actionable insights that inform strategic decision-making.

  • Creates performance-measurement frameworks, defines metrics, and develops intuitive reporting interfaces to enhance organizational performance.

  • Produces recurring financial, operational, and market-intelligence reports by synthesizing findings from multiple data sources.

  • Develops data engineering, analytics, visualization, and cloud solutions and translates complex data into actionable insights for leadership and cross-functional stakeholders.

  • Mentors junior analysts.

  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.

  • Develops innovative insights to support strategic business goals.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced

programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Or, alternatively, Master's degree in Computer Science, Engineering, Engineering Management, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Advanced Data Analytics and Insights (or closely related occupation) developing end-to-end data and analytics solutions, spanning Agile development, advanced programming, big-data querying, cloud technologies, visualization, and cross-functional insight delivery, to support strategic business and product decision-making.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") designing and developing intuitive dashboards, business, and data analytics reports; providing business and operational insights using Tableau or Power BI; and transforming raw data into actionable information to enable data-driven decision making and optimal business outcomes, using SQL or Tableau.

  • DE performing functional, integration, and report testing to ensure the accuracy of business reports, validating data completeness, constraints, and duplication, using SQL and Excel; identifying, validating, and resolving discrepancies in measures and dimensions for real-time custom reporting using SQL and Business Intelligence (BI) tools (Tableau or Power BI).

  • DE deploying and maintaining code using Continuous Integration and Continuous Delivery (CI/CD) tools (Jenkins and GitHub); and automating, coordinating, and optimizing the scheduling of complex workflows and data processing jobs (to ensure timely and efficient executions) with scheduling platforms (Control-M).

  • DE performing end-to-end data engineering and analytics development using SQL, Python, R, and Google BigQuery within an Agile software development environment.

Salary: $126,775.00 to $166,000.00/year.

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Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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