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Advanced Data Analytics Jobs (NOW HIRING)

UNISSANT

Senior Advanced Data Analyst

Washington, DC · On-site

$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 ...

Unissant

Senior Advanced Data Analyst

Washington, DC · On-site

$120 - $160/hr

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 ...

Unissant

Senior Advanced Data Analyst

Washington, DC · On-site

$93K - $149K/yr

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 ...

Novo Nordisk A/S

$99 - $141/hr

The Position As a member of the Enterprise Data & Advanced Analytics team within Finance & Operations, collaborates with team members and other F&O and IT departments to deliver advanced data ...

Posted today

Honeywell

Advanced Data Scientist

Hamilton, NJ · On-site

As an Advanced Data Scientist here at Honeywell, you will leverage advanced analytics, artificial intelligence, and machine learning technologies to transform customer engagement, service operations ...

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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.

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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.

Manager, Advanced Data Analytics and Insights

Soteria Reinsurance Ltd.

Smithfield, RI • On-site

$110 - $170/hr

Other

Posted 3 days ago

New

Job description

Manager, Advanced Data Analytics and InsightsSkip to main content#Manager, Advanced Data Analytics and Insights page is loaded## Manager, Advanced Data Analytics and InsightsApplylocations: Smithfield, RI: Durham, NC: Merrimack, NHtime type: Full timeposted on: Posted Todayjob requisition id: 2131991## ## Job Description:**Note: Fidelity will not provide immigration sponsorship for this position.****The Role**As a Manager, Advanced Data Analytics in the Advanced Analytics and Customer Insights organization you would have the opportunity to directly contribute towards this future. We are looking for an analytics professional to be a creative and collaborative team member, helping develop and lead data and hypothesis driven initiatives. You'll be embedded in our Digital Assets business and will partner together to help support and evolve Fidelity Digital Assets offerings that demonstrate Fidelity’s commitment to customer value and high customer experience standards.This role requires a dedicated, committed, and passionate individual who can:* Create and summarizes large datasets in structured and unstructured data.* Collect and analyze data / develop insights and reporting capabilities to empower organizational leaders to make decisions.* Create solutions leveraging deep statistical analysis to drive thought leadership across the Digital Assets organization* Work across diverse skilled teams to find success for Fidelity and our customers.* Have a natural intellectual curiosity, initiative, and love for learning new skills and capabilities.**The Expertise and Skills You Bring*** Bachelor’s degree required, Advanced Degree a plus.* 4 plus years of experience generating analytical insights to drive business actions.* Experience with a range of analytical tools and programming languages such as SQL, Python, R, etc.* Experience in designing and developing dashboards and reports by using Tableau, Power BI, Qlik, etc; Business Objects experience a plus.* Experience using and querying big data technologies such as Snowflake, Athena, etc.* Experience with digital analytics using tools such as Adobe Analytics.* Experience in Digital Assets a plus.**The Team**Fidelity Digital Assets is dedicated to building products and services that help institutions adopt digital assets and innovate within the increasingly digital world of finance. Fidelity Investments began researching blockchain technology and digital assets solutions in 2014, where years of research and development have provided us with the deep expertise necessary to build the future of finance.The Fidelity Digital Assets Advanced Analytics and Customer Insights team is central to enhancing and delivering reporting and data analysis capabilities that serve Fidelity Digital Assets Product and Operations stakeholders with insights on our products and customer segments. Members of our team are highly dynamic, team-oriented and partner with each other, business partners and their teams. We lead by example, seek to continuously improve, deliver creative solutions that solve complex challenges and/or advance the business, and seek to increase the value we provide through our business insights practice.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 InsightsPlease 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. #J-18808-Ljbffr

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