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Senior Data Analyst Jobs in Rhode Island (NOW HIRING)

The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive business intelligence dashboards and selfservice analytics tools that enable business partners to ...

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI · On-site

$60K - $75K/yr

Data AnalystHealthcare Data Analytics Experience PreferredLocation: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position requires strong data and analytics experience, with utilization of data for statistical and policy ...

Data Analyst

Smithfield, RI · On-site

$32 - $33/hr

Analyzing the client source data to identify issues, potential causes, and suggested remediation Navigating the organization, bringing together interested parties, negotiating differences, and ...

Analyzing the client source data to identify issues, potential causes, and suggested remediation * Navigating the organization, bringing together interested parties, negotiating differences, and ...

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Showing results 1-20

Senior Data Analyst information

See Rhode Island salary details

$53.9K

$97.2K

$132.7K

How much do senior data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior data analyst in Rhode Island is $97,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $106,300.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Rhode Island?

The most popular types of Data Analyst jobs in Rhode Island are:

What are popular job titles related to Senior Data Analyst jobs in Rhode Island?

For Senior Data Analyst jobs in Rhode Island, the most frequently searched job titles are:

What cities in Rhode Island are hiring for Senior Data Analyst jobs?

Cities in Rhode Island with the most Senior Data Analyst job openings:

Infographic showing various Senior Data Analyst job openings in Rhode Island as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $97,178 per year, or $46.7 per hour.

Sr Marketing Data Analyst- Checking & Deposits

Citizens

Johnston, RI • On-site

$87K - $109K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Description

There's no better time to be a Citizen! We are growing and looking to add to our Marketing Analytics team within the Enterprise Data & Analytics organization.

We are seeking a strategic Marketing Senior Data Analyst to collaborate with Checking and Deposit Acquisition Marketing that will drive incremental, high quality household growth by evaluating campaign strategies and customer targeting approaches. The analyst will focus on optimizing marketing performance through data-driven insights that improve efficiency, maximize customer net present value, and support long-term customer growth across channels and markets.

This role offers the opportunity to influence acquisition strategy across one of the bank's key growth businesses, leveraging advanced analytics, experimentation, attribution, customer value frameworks, and marketing measurement methodologies to inform critical marketing investment decisions.

As the lead analytics partner supporting Checking and Deposit Acquisition Marketing, the Senior Marketing Data Analyst serves as a trusted advisor to marketing stakeholders, helping shape acquisition strategies through data-driven insights, performance measurement, and optimization recommendations. Acting as the central point of contact between marketing stakeholders and data science & analytics teams, the analyst evaluates campaign performance, optimizes channel and audience strategies, and delivers actionable recommendations that improve marketing efficiency and business outcomes. The analyst brings end-to-end ownership of analytics deliverables, ensuring insights are actionable, aligned to business priorities, and consistently delivered to stakeholders. This role requires a strong blend of advanced analytics, business acumen, and stakeholder partnership, with the ability to synthesize complex data into clear insights that inform decision-making across acquisition and long-term customer value.

Primary responsibilities include:

  • Partner with marketing stakeholders to understand business goals, acquisition strategies, testing roadmaps, and success metrics, translating them into analytic approaches and measurement frameworks.

  • Compile and assess data for analysis, extracting relevant insights and implementable solutions for our marketing partners.

  • Evaluate marketing effectiveness using experimentation, attribution methodologies, customer lifetime value frameworks, incrementality analysis, and marketing mix modeling techniques to inform future strategy.

  • Proactively identify opportunities to improve marketing efficiency and provide actionable recommendations.

  • Become an expert across marketing channels, customer segments and key markets tracked by Citizens' Enterprise Marketing team to contextualize business activities and priorities.

  • Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences.

  • Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas.

  • Develop executive-ready presentations, dashboards, and visualizations that translate complex analyses into clear business recommendations for stakeholders and senior leaders.

Required Skills/Experience:

  • 5+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.

  • 3+ years of SQL experience.

  • Strong experience using Python for data analysis, statistical modeling, marketing analytics, and process automation.

  • Experience or exposure to data and analytics in Banking and/or Financial Services industry.

  • Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.

  • Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.

  • Demonstrated ability to play a leadership role in complex analytical projects.

  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics and database development/maintenance.

  • Experience in complex experimental designs, marketing mix models and attribution models preferred.

Preferred Skills/Experience:

  • Marketing Mix Modeling (MMM), attribution, incrementality measurement, or causal inference methodologies.

  • Customer Lifetime Value (CLV), Net Present Value (NPV), or customer profitability analysis.

  • Experimentation and test-and-learn frameworks.

  • Tableau, Power BI, Adobe Analytics, or similar data visualization platforms.

  • Experience working with large-scale customer and marketing datasets.

Education, Certifications and/or Other Professional Credentials:

  • Bachelor's Degree in statistics, economics, computer science, engineering or similar quantitative field required; master's degree preferred.

Hours and Work Schedule:

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

Pay Transparency

The salary range for this position is $110,000- $135,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits. 

#LI-Citizens1

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST