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Weekend Data Analyst Jobs in Rhode Island (NOW HIRING)

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse. Map and verify data from new data sources into the warehouse, ensuring the integrity of the data.

We'relooking for an ambitious analyst to join our Investment Analytics team. This role isidealfor someone who wants to help build solutions across a wide swath of investment data domains.It requires ...

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

Transform data into easily understandable visualizations and reports that enable informed decision ... No weekend hours required. Pay Transparency The salary range for this position is $100,000 - $140 ...

Sr BI Analyst

Johnston, RI · On-site

$100K - $140K/yr

Transform data into easily understandable visualizations and reports that enable informed decision ... No weekend hours required. Pay Transparency The salary range for this position is $100,000 - $140 ...

Sr BI Analyst

Johnston, RI · On-site

$100K - $140K/yr

Transform data into easily understandable visualizations and reports that enable informed decision ... No weekend hours required. Pay Transparency The salary range for this position is $100,000 - $140 ...

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Weekend Data Analyst information

See Rhode Island salary details

$33.3K

$80.9K

$133.2K

How much do weekend data analyst jobs pay per year?

As of Jul 18, 2026, the average yearly pay for weekend data analyst in Rhode Island is $80,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

What are the key skills and qualifications needed to thrive as a Weekend Data Analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
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 Weekend Data Analyst jobs in Rhode Island? For Weekend Data Analyst jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Rhode Island look for? The top searched job categories for Weekend Data Analyst jobs in Rhode Island are:
What cities in Rhode Island are hiring for Weekend Data Analyst jobs? Cities in Rhode Island with the most Weekend Data Analyst job openings:
Experiential Marketing Sr Data Analyst

Experiential Marketing Sr Data Analyst

Citizens

Johnston, RI • On-site, Remote

$104K - $138K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago


Job description

Description

Citizens is seeking a highly motivated, detail-oriented Senior Data Analyst to join the Enterprise Sponsorships, Experiential Marketing & Corporate Events team. In this role, you will develop and lead performance measurement and analytics across sponsorship and event programs, including bespoke activations, thought leadership events, panel discussions, conferences, webinars, and other experiences. You will establish clear KPIs, strengthen data capture, and translate outcomes into timely, actionable insights. Additionally, this role will partner closely with internal stakeholders and agency partners to build scalable reporting and visualization, enhance analytical processes and deliver data storytelling that connects event strategy to enterprise priorities and drives measurable business impact. This role demands a blend of strategic business acumen and hands-on technical expertise in data analytics, pipeline development, and visualization.


Key Responsibilities

  • Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover opportunities, and support strategic business decisions. Present findings that connect deep data insights to broader business objectives.
  • Stakeholder Collaboration: Partner with marketing and business leaders to define analytical needs, translate them into technical requirements, and deliver actionable solutions and reporting. Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial, and Business Banking.
  • Data Quality & Validation: Ensure data integrity through rigorous validation and testing. Proactively identify and resolve issues related to data bias, accuracy, or completeness.
  • Optimization & Innovation: Use analytical techniques to identify business process improvements and operational optimizations through large-scale data analysis, automating where possible to improve efficiency and scalability.
  • Ad Hoc & Strategic Support: Respond to dynamic business requests while maintaining consistency and scalability in reporting. Drive a culture of iteration, efficiency, and automation.
  • Data Infrastructure Development: Build and maintain robust data pipelines, ensuring reliable data flow for analysis and visualization.
  • Visualization & Storytelling: Develop and enhance dashboards using BI tools such as Tableau, Power BI, or Looker to convey insights effectively to senior leadership. Document and communicate analytic results, insights and recommendations to both technical and non-technical audiences.

Qualifications

Required

  • Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Computer Science, Economics, Engineering, or Physical Sciences)
  • 5+ years of professional experience in analytics, plus 1+ year in corporate strategy (preferably within Financial Services)
  • Strong problem-solving and storytelling skills - ability to connect data insights to strategic recommendations
  • Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau, Power BI, or Looker)
  • Experience with data querying, validation/testing, dataset generation, and building repeatable reporting
  • Working knowledge of ETL/ELT processes, data warehouse architecture, and data pipeline tools (e.g., Airflow)
  • Familiarity with cloud platforms (e.g., AWS) and database environments
  • Handson experience working with CRM data, including campaign, lead, account, and opportunitylevel data, to support marketing measurement, customer analysis, and performance reporting
  • Advanced Excel and PowerPoint skills
  • Strong project management and organizational abilities, with experience handling multiple priorities in dynamic environments
  • Strong written/verbal communication skills and ability to translate analytic results into business implications and recommendations.
  • Proven ability to manage confidential information with discretion

Preferred

  • Master's degree (e.g., MBA or equivalent quantitative discipline)
  • Experience with marketing measurement approaches such as incrementality testing, experimental design, and attribution models; Exposure to statistical modeling and predictive analytics

  • Experience with Salesforce, data lakes, and banking systems supporting front-line colleagues
  • Experience with data automation and process optimization workflows

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday 8-5 4 days in the Westwood MA or Johnston RI office 1 day remote. 

Pay Transparency

The salary range for this position is $104,000 - $138,000 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 .

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