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Analytics Jobs in Providence, RI (NOW HIRING)

Jj

SFA, FP&A Data & Analytics

Raynham, MA · On-site

$88K - $110K/yr

Apply advanced analytics and financial modeling techniques to evaluate scenarios, risks, and opportunities. * Ensure data integrity, consistency, and compliance with internal controls, policies, and ...

Varsity Tutors

Business Analytics Tutor

Providence, RI · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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All JobsAnalytics JobsAnalytics Jobs in Providence, RI

Analytics information

See Providence, RI salary details

$65.2K

$126.6K

$180.8K

How much do analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for analytics in Providence, RI is $126,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $150,500.00 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 Providence, RI?

The most popular types of Analytics jobs in Providence, RI are:

What are popular job titles related to Analytics jobs in Providence, RI?

For Analytics jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching Analytics jobs in Providence, RI look for?

The top searched job categories for Analytics jobs in Providence, RI are:

Analytics jobs near you
Infographic showing various Analytics job openings in Providence, RI as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $126,607 per year, or $60.9 per hour.

Senior Manager, Category Promotion & Coupon Analytics

SwiftCruit

Woonsocket, RI • On-site

$82.94 - $182.55/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do.

Key ResponsibilitiesStrategy & Insights
  • Develop and execute data‑driven pricing, promotion, and coupon strategies that maximize sales, margin, and customer value.
  • Analyze large, complex datasets to identify trends, risks, and opportunities across categories.
  • Translate analytical insights into clear, actionable recommendations for senior leadership.
  • Design and evaluate tests (A/B, pilots) to measure the effectiveness of promotional strategies.
Analytics & Technical Execution
  • Leverage SQL, Python, and modern data platforms to extract, transform, and analyze data at scale.
  • Build scalable analytical models, forecasting tools, and reporting dashboards.
  • Utilize platforms such as Databricks, Snowflake, and/or Palantir Foundry to integrate and analyze enterprise data.
  • Partner with data engineering and analytics teams to enhance data pipelines and capabilities.
Financial Performance & Optimization
  • Size opportunities and forecast impact of promotional initiatives.
  • Monitor performance against key KPIs (sales, margin, ROI) and adjust strategies accordingly.
  • Support annual planning, budgeting, and ongoing financial tracking.
Cross‑Functional Influence
  • Collaborate with Merchandising, Marketing, Loyalty, and Operations to align strategies with business goals.
  • Influence stakeholders through data‑driven storytelling and executive‑level presentations.
  • Act as a thought leader in promotional and pricing strategy discussions.
Innovation & Continuous Improvement
  • Identify opportunities to improve efficiency, automation, and analytical capabilities.
  • Stay current on industry trends, tools, and best practices in pricing, promotions, and retail analytics.
  • Drive adoption of new technologies and advanced analytic approaches.
Core Competencies
  • Strategic thinking and problem solving
  • Advanced analytical and technical capability
  • Cross‑functional leadership and influence
  • Executive communication and storytelling
  • Results orientation and ownership
  • Adaptability in a fast‑paced environment
Required Qualifications
  • Bachelor’s degree required.
  • 7+ years of experience in analytics, strategy, pricing, promotions, or related fields.
  • Strong proficiency in SQL and Python for data analysis and modeling.
  • Experience working with modern data platforms (e.g., Databricks, Snowflake, or similar).
  • Proven ability to analyze large datasets and translate insights into business impact.
  • Strong financial acumen and experience managing or influencing performance metrics.
  • Excellent communication skills with the ability to influence cross‑functional stakeholders.
Preferred Qualifications
  • Master’s degree (MBA, MS in Analytics, Data Science, or related field).
  • Experience with Palantir Foundry or similar advanced analytics platforms.
  • Experience in retail, pricing, promotions, loyalty, or consumer‑focused industries.
  • Experience building and scaling data products, dashboards, or advanced analytics solutions.
  • Familiarity with experimentation frameworks and advanced statistical methods.
Education
  • Bachelor’s degree required. Master’s degree in a related field is preferred.
Pay Range

The typical pay range for this role is: $82,940.00 - $182,549.00. This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Benefits

Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and belongs. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Legal & EEO Statement

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Application Deadline

This position anticipates the application window closing on: 08/31/2026.

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