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Advanced Data Analytics Jobs (NOW HIRING)

Walmart

Senior Manager, Data Analytics

Rogers, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Decatur, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Elkins, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Cave Springs, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Farmington, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Springdale, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Gravette, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Bentonville, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Cassville, MO · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Tontitown, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Pea Ridge, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

Walmart

Senior Manager, Data Analytics

Goshen, AR · On-site

$90K - $180K/yr

This role requires expertise in big data technologies, advanced analytics, and data visualization to translate complex business challenges into actionable solutions. The position involves mentoring ...

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Advanced Data Analytics information

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How much do advanced data analytics jobs pay per hour?

As of Jul 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 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 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:
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
Senior Manager, Advanced Data Analytics and Insights

Senior Manager, Advanced Data Analytics and Insights

Fidelity Investments

Smithfield, RI

$107K/yr

Full-time

Medical, Retirement, PTO

Posted 25 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description

Job Description:

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

TheRole

We are seekingfor a Senior Manager, Advanced Data Analytics who is adata-driven professionaland is passionate about transforming complex data into clear, trusted insights and scalable BI products. This role blends analytical and technical expertise with business acumen. Asafullstack analyticsprofessional, you'll deliver endtoend BI solutions and Insights while partnering with stakeholders to drive measurable outcomes.

TheExpertiseandSkillsYouBring

EndtoEnd BI Product Delivery-Translate business questions into clear analytical requirements, andcreatereporting experiencesand insightsthat support decisionmaking.Own end-to-end delivery of production BI solutions.

Business Partnership & Insight-Act as a consultative partner translating objectives into measurable outcomeswhile driving a consistent "single source of truth" acrossstakeholders and domains.

Data Understanding, SQL, & Analytics Engineering-Perform deep data discoveryofsourcetotarget relationships, data lineage, business rules, and operationalnuances. Optimizeadvanced SQL for large-scale data processing. Build scalable, high-quality datasets through strong data shaping practices.

Data Quality, Controls, & Trust-Document definitions, assumptions, and limitations to ensure auditability. Partnerwith governance and platform teams to align on standards.Design and maintain robust data quality controls-including validation, anomaly detection, and completeness checksto drive trust in data.

Dashboarding & Visualization (Power BI,Tableau)-Design and deliver intuitive, high-performing dashboards and semantic reporting layersto enableself-service analyticsaligned to business workflows.Applyvisualization best practices, optimizeperformance,andmanagerelease lifecycles.

Advanced Analytics (NonAI)-Apply statistical and quantitative methods for diagnostic and predictive insights (e.g., hypothesis testing, statistical comparisons).Independently conduct advanced analyses and build business cases ROI/ impact measurement tiedto actions and outcomes.

Education & Experience-Bachelor's or equivalent Degree with 4+ years of experience working with data insight solutioning. Preferred BS/MS in Engineering, Computer Science, Data Core Skills

Core Skills

  • Knowledge in business statistics and quantitative methods
  • Proficiency in SQL and Python (pandas, data processing libraries)
  • Experience with BI and analytical tools (e.g. Power BI, Tableau, and related tooling)
  • Expertise in data modeling,semantic layer design,andmetric modeling
  • Experience withpipeline logicandETLpractices
  • Practice in strongdata quality and reconciliationmethods
  • Experience with cloud data warehouses and analytics platforms(e.g.,Snowflake)
  • Experience withStakeholder partnership,consultative communication, anddata storytelling

TheTeam

TheAdvanced Analytics & AI Insights(A3i) Team delivers trusted metrics, dashboards, and advanced insights that enable better decisionmaking across the organization. We partner across business and technology to improve data quality, enable selfservice reporting, and build scalable, wellgoverned BI products.

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.

The base salary range for this position is $107,000-216,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

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.

Certifications:Category:Data Analytics and Insights

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