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Mining Data Analytics Jobs in Raleigh, NC (NOW HIRING)

Duke University

Data Analytics Fellow

Durham, NC · On-site

... educational data mining techniques, we would like to talk to you about this role. Minimum ... Choose Duke. Why Join Us: The Data Analytics Practice within Duke's Office of Information ...

Duke University

Data Analytics Fellow

Durham, NC

... educational data mining techniques, we would like to talk to you about this role. Minimum ... Proficiency with data analysis in Python or R, and SQL. Experience with creating dashboards or ...

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC

$79K - $98K/yr

Data mining and development and implementation of automated solutions to improve Finance processes and outputs. Ad hoc analysis requests as needed. Scope of revenues and sites: * Countries of support:

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

Data mining and development and implementation of automated solutions to improve Finance processes and outputs. Ad hoc analysis requests as needed. Scope of revenues and sites: * Countries of support:

Arkema

Sr. Financial Analyst (Data Analytics) Job

Cary, NC · On-site

$79K - $98K/yr

Data mining and development and implementation of automated solutions to improve Finance processes and outputs. Ad hoc analysis requests as needed. Scope of revenues and sites: * Countries of support:

Samprasoft

Data Modeler

Durham, NC · On-site

$49.50 - $64.25/hr

Expert level analysis skills in the form of research, gap analysis, data mining, and data profiling. * Solid understanding of data lineage. Ability to breakdown and detail the flow of data from ...

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All JobsMining Data Analytics JobsMining Data Analytics Jobs in Raleigh, NC

Mining Data Analytics information

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$49.6K

$68K

$86.5K

How much do mining data analytics jobs pay per year?

As of Jun 26, 2026, the average yearly pay for mining data analytics in Raleigh, NC is $68,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $82,600.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Mining Data Analytics is a field that values skills and experience over age; many professionals transition into data science later in their careers. Learning programming languages like Python or R and gaining relevant certifications can help regardless of age. Age should not be a barrier to entering data science if you develop the necessary skills and stay current with industry tools.

What is the highest paid job in mining?

The highest paid roles in mining typically include mine managers, senior engineers, and geologists, with salaries often exceeding $150,000 annually. These positions require extensive experience, technical expertise, and often involve overseeing large operations or specialized skills such as data analysis and safety management.

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

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

Will data mining be replaced by AI?

Data mining in mining data analytics involves extracting useful patterns from large datasets, and AI technologies like machine learning are increasingly used to automate and enhance this process. While AI can perform many tasks traditionally done by data miners, skilled analysts are still needed to interpret results, develop models, and ensure data quality, making complete replacement unlikely in the near term.

What does a data mining analyst do?

A data mining analyst examines large datasets to identify patterns, trends, and relationships that can inform business decisions. They use statistical tools and software such as SQL, Python, or R, and often work in environments requiring strong analytical and problem-solving skills to extract actionable insights.
What are popular job titles related to Mining Data Analytics jobs in Raleigh, NC? For Mining Data Analytics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in Raleigh, NC look for? The top searched job categories for Mining Data Analytics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Mining Data Analytics jobs? Cities near Raleigh, NC with the most Mining Data Analytics job openings:
Mining Data Analytics jobs near you
Infographic showing various Mining Data Analytics job openings in Raleigh, NC as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $68,045 per year, or $32.7 per hour.

Senior Manager, Advanced Data Analytics and Insights

Fidelity Investments

Durham, NC • On-site

Full-time

Posted 9 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services

Job description

Job Description:
Position Description:
Drives improvements to the digital experience for customers with industry-leading data analytics, visualization, and experimentation approaches and tools. Partners with business stakeholders to understand their critical business questions and data needs, assess opportunities, and measure the resulting impact of product/service enhancements on customer satisfaction and business objectives and key results. Transforms data into impactful business insights, applying data mining, data modeling, natural language processing, and machine learning to structured and unstructured data sources (including digital interactions, customer feedback, chat/call transcripts, customer profile attributes, platform logs, operational metrics, and financial transactions). Creates and publishes interactive reports and dashboards, using Tableau, Power BI, Adobe, and Excel. Writes complex SQL queries against both cloud and on-premise relational database technologies such as Snowflake, MS SQL Server and Oracle. Uses standardized programming languages such as Python, SQL to manage relational databases and perform various operations on the data. Performs exploratory data analysis, using big data technologies and open-source platforms. Works in an Agile development environment using tools like JIRA and Confluence to track issues and automate workflows.
Primary Responsibilities:
  • Develops and executes comprehensive learning agendas that inform strategic business decisions and tackle the key business questions to which stakeholders need answers.
  • Translates business questions into hypotheses that can be validated via experimentation or data analysis.
  • Analyzes customer interactions at every touchpoint to measure usability, effectiveness, and client satisfaction within the overall cross-channel client/advisor journey.
  • Creates data-driven narratives of the customer experience, highlighting both successes and friction points to inform future initiatives and strategies.
  • Presents and delivers actionable insights and recommendations to senior business leaders and product owners, enabling objective, informed business and product decisions.
  • Contributes to project strategy and deliverable planning, influencing the vision and mission, work plans, and timelines.
  • Partners and collaborates effectively with technology, business, and analytics colleagues in an Agile development environment.
  • Develops and maintains working relationships with team members, client stakeholders, and peers.
  • Communicates project updates and recommendations to senior stakeholders, concisely and clearly.
  • Continuously improves data analytics and insights capabilities, monitoring innovation across the analytics industry, and spreading that knowledge and expertise throughout the organization.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, 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 data-driven insights using advanced analytics and data visualization platforms.
Or, alternatively, Master's degree in Computer Science, Engineering, 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 data-driven insights using advanced analytics and data visualization platforms.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") developing data-driven insights to inform business strategy, including digital experience enhancements, service optimization, audience segmentation, customer experience personalization and new product launch initiatives using SQL, Python, Snowflake, Tableau, and Adobe Analytics.
  • DE performing data modeling, designing large data sets and implementing pre-aggregations and transformations using Snowflake SQL, Python, and Excel to integrate customer data from disparate data sources including digital interactions, customer feedback, chat/call transcripts, customer attributes, platform logs, operational metrics, and financial transactions; and creating advanced visualization modules, reports for real-time insights and automating and updating dash-boards, using Tableau, Adobe Analytics, and Excel.
  • DE developing a comprehensive analytical learning agenda for product usage, success metrics and customer demographics using Adobe, Tableau, and SQL; and consulting with stakeholders and business leaders to articulate business requirements using measurement and experimentation.
  • DE designing measurement strategy and implementation using Adobe Digital Marketing Suite analytical tools and centralized tag management systems that beacon tags to on-premises and off-premise Snow-flake data warehouse.

Experience/Expertise may be gained during graduate degree program.
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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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