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Analytics Jobs in Denver, NC (NOW HIRING)

The HR Analytics & Insights Supervisor will lead and actively contribute to Nucor's HR enterprise reporting, workforce analytics, data governance, and analytics solutions. This role is responsible ...

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the impact of offline and digital marketing. You will be ...

Senior Digital Analytics Duration: 1+ Year contract Location : Charlotte, NC Looking for an experienced Analytics Implementation Analyst with hands on implementation experience is Ensighten Tag ...

Your Impact The Manager, Media Analytics leads the measurement, optimization, and insight development for Lowe's enterprise media investments across all channels, including TV, digital, social ...

Your Impact The Manager, Media Analytics leads the measurement, optimization, and insight development for Lowe's enterprise media investments across all channels, including TV, digital, social ...

Showing results 21-40

Analytics information

See Denver, NC salary details

$59.7K

$115.9K

$165.6K

How much do analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for analytics in Denver, NC is $115,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $137,800.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

What are the most commonly searched types of Analytics jobs in Denver, NC?

The most popular types of Analytics jobs in Denver, NC are:

What job categories do people searching Analytics jobs in Denver, NC look for?

The top searched job categories for Analytics jobs in Denver, NC are:

What cities near Denver, NC are hiring for Analytics jobs?

Cities near Denver, NC with the most Analytics job openings:

Infographic showing various Analytics job openings in Denver, NC as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $115,922 per year, or $55.7 per hour.

Automation & Data Analytics Senior Associate

JPMorgan Chase & Co.

Charlotte, NC • On-site

Full-time

Medical, Retirement

Posted 14 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description


Join a team improving the way quality assurance testing is designed, executed, and defended through analytics and automation. You will turn evolving requirements into structured solutions that are scalable, well-controlled, and easy to reuse.
As an Analytics Solutions Associate Senior at JPMorganChase within the Know Your Customer (KYC) Quality Assurance organization, you will design, build, and maintain analytics-driven solutions that improve sampling methodology, testing execution, and review efficiency. You will partner with quality assurance leads, risk managers, operations teams, and control partners to translate business needs into structured analytical requirements and repeatable workflows. You will apply statistical sampling techniques and automation to support consistent, defensible conclusions. You will build controls and validation into analytics outputs to improve reliability and auditability. You will communicate methodology decisions and findings clearly to technical and non-technical stakeholders.
This role focuses on statistical sampling, process automation, data integration, and methodology documentation. You will develop programmatic frameworks and reusable tooling that enable consistent testing coverage and transparent sampling logic. Success requires strong analytical judgment, comfort working through ambiguity, and disciplined documentation practices. You will contribute to continuous improvement by identifying control gaps, standardizing approaches, and reducing manual effort through automation. The role is well suited for an analyst ready to take greater ownership in a financial crime risk and controls environment.
Job responsibilities
  • Design, build, and maintain programmatic frameworks supporting quality assurance testing, sampling, and review processes
  • Develop Python automation tools to generate samples, validate inputs, track coverage, and document methodology
  • Apply statistical techniques (including confidence intervals, error rates, stratification, and sample sizing) to support quality assurance conclusions
  • Translate loosely defined testing needs into structured analytical requirements, technical logic, and repeatable workflows
  • Integrate data from internal systems, APIs, and structured data feeds to enable sampling, testing, and workflow automation
  • Partner with quality assurance leads, risk managers, and operations teams to identify control gaps and improve testing design
  • Lead targeted process improvements through automation, standardization, and stronger analytical controls
  • Perform data quality checks, exception analysis, and output validation to ensure results are accurate, complete, and defensible
  • Produce clear documentation of sampling logic, assumptions, methodology, limitations, and controls for audit and regulatory review
  • Support governance processes by coordinating with compliance, legal, and control partners and completing required documentation and forms
  • Communicate analytical findings, risks, and methodology decisions to both technical and non-technical stakeholders

Required qualifications, capabilities, and skills
  • 3+ years of relevant experience in analytics, quality assurance analytics, risk, controls, financial crime, or operations analytics
  • Bachelor's degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative field
  • Strong Python skills, including scripting, data manipulation, and reusable code development
  • Practical experience applying statistical sampling methodologies, error measurement, and data validation techniques
  • Proficiency with SQL for querying, joining, and analyzing large structured datasets
  • Working knowledge of machine learning concepts and common frameworks, with ability to apply techniques such as anomaly detection or classification when appropriate
  • Experience integrating data via APIs, structured data feeds, or system-generated datasets
  • Basic UNIX/Linux command line skills
  • Demonstrated ability to identify automation opportunities and drive adoption of consistent, scalable processes
  • Strong attention to detail and comfort operating in controlled, highly regulated environments
  • Strong written and verbal communication skills, including explaining analytical approaches and trade-offs to non-technical stakeholders

Preferred qualifications, capabilities, and skills
  • Master's degree in Computer Science, Economics, Statistics, Mathematics, Data Analytics, or a related quantitative field
  • Experience supporting KYC anti-money laundering, financial crime, risk, controls, audit, or regulatory review processes
  • Experience with Apache Spark or other distributed data processing tools
  • Familiarity with Databricks or similar cloud-based analytics platforms
  • Exposure to generative AI use cases for automation, documentation, workflow efficiency, or quality review support
  • Experience documenting analytical methodologies for audit, risk, compliance, or regulatory review

This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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