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Predictive Modeling Jobs in Rhode Island (NOW HIRING)

Head of HR Analytics

Johnston, RI · On-site

$227K - $307K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

Head of HR Analytics

Johnston, RI · On-site

$227K - $307K/yr

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

From automating processes and building predictive models to leading listening posts and advancing AI-driven solutions, this leader will be at the forefront of innovation in HR. What You'll Do * Lead ...

They will do Predictive Modeling. Having proven experience building ML models from messy. High-dimensional datasets (time series, sensor data, ETA prediction, etc.). They will be well versed in AI ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Develop and deploy predictive models, recommendation models, and other solutions to provide timely insights, recommendations and predictions. * Work closely with engineers, data scientists and ...

The engineer will build predictive models, apply document AI with transformers, and integrate models into secure production workflows. Collaboration with product managers, architects, and cross ...

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Predictive Modeling information

See Rhode Island salary details

$10

$57

$81

How much do predictive modeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for predictive modeling in Rhode Island is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $66.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Predictive Modeling position, and why are they important?

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or specialized software and often require knowledge of data analysis, statistics, and programming. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

What jobs make $1,000,000 a year?

In predictive modeling, high-earning roles such as senior data scientists, machine learning engineers, and analytics directors can reach or exceed $1 million annually, especially in top tech companies or financial firms. These positions typically require advanced skills in statistical analysis, programming, and experience with big data tools, along with leadership responsibilities and often performance-based bonuses or equity.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R. Continuous learning and relevant experience are more important than age when pursuing a data science career.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What job makes $10,000 a month without a degree?

Predictive modeling roles, such as data scientists or machine learning engineers, can earn $10,000 or more per month with significant experience and expertise in statistical analysis, programming, and data tools. These jobs often require strong skills in Python, R, or SQL and may involve working in tech, finance, or consulting environments, but typically do not require a formal degree if skills are demonstrated through portfolios or certifications.
What are the most commonly searched types of Predictive Modeling jobs in Rhode Island? The most popular types of Predictive Modeling jobs in Rhode Island are:
What are popular job titles related to Predictive Modeling jobs in Rhode Island? For Predictive Modeling jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Rhode Island look for? The top searched job categories for Predictive Modeling jobs in Rhode Island are:
Director, Advancement Reporting & Analytics

Director, Advancement Reporting & Analytics

Rhode Island School of Design (RISD)

Providence, RI

Full-time

Posted 5 days ago


Rhode Island School Of Design rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

111th of 536 rated colleges and universities


Job description

Job Summary

Rhode Island School of Design (RISD) seeks a Director, Advancement Reporting & Analytics to join Institutional Advancement (IA).

Serve as the technical lead and architect for Institutional Advancement's enterprise analytics infrastructure, with primary responsibility for the design, governance, and optimization of a Microsoft SQL Server-based data mart integrated with Tableau. Architect and maintain scalable data models, ETL pipelines, and reporting frameworks that consolidate Blackbaud Raiser's Edge NXT and third-party systems into a centralized, authoritative analytics layer supporting fundraising, alumni and family engagement, and campaign operations.

Act as the principal owner of IA reporting architecture, overseeing data standards, metric definitions, refresh processes, and performance optimization to ensure consistency, reliability, and analytical rigor across all executive and operational reporting. Coordinate and prioritize reporting and analytics initiatives for the Vice President for Institutional Advancement and IA leadership, delivering advanced analytical products-including dashboards, longitudinal analyses, and predictive models-that inform strategic planning, resource deployment, and performance management.

Working in close partnership with the Director of Advancement Data Services, the Director of Prospect Management and Analytics, and the Director of Gift Administration and Recording Secretary, this role evaluates and evolves existing data structures; designs future-state reporting and analytics solutions; and establishes best practices for data governance, documentation, and self-service analytics. The position leads the development of analytical models that assess and predict prospect development, donor behavior, volunteer engagement, and fundraising outcomes, translating complex, multi-source data into decision-ready insights for senior leadership and governing bodies.

The successful candidate will thrive in a campus environment that is committed to advancing the principles of social equity and inclusion, environmental and climate justice, and equal access to resources and opportunities.

Essential Functions:

Enterprise Data Architecture & SQL Environment Management
  • Serve as the technical owner of Institutional Advancement's Microsoft SQL Server data mart, integrating Blackbaud Raiser's Edge NXT and related platforms into a centralized, governed analytics environment.

  • Design, document, and maintain SQL schemas, views, stored procedures, and data models that support scalable reporting, longitudinal analysis, and predictive modeling.

  • Partner with the Directors of Data Services, Gift Administration, and Prospect Management to ensure fluency across data coding, storage, extraction, transformation, import/export processes, and system integrations within Raiser's Edge NXT and the SQL data mart.

  • Identify, design, and implement automation and process improvements to enhance data quality, system performance, and reporting efficiency; evaluate and recommend third-party tools and utilities as appropriate.

Reporting, Visualization & Tableau Analytics
  • Develop, maintain, and govern an enterprise Tableau reporting environment connected to the SQL data mart, delivering standardized dashboards and analytical products for Institutional Advancement leadership and operational teams.

  • Establish and enforce best practices for reporting standards, including shared metric definitions, consistent formatting and branding, documentation, and scheduled distribution to defined audiences.

Advanced Analytics, Forecasting & Predictive Modeling
  • Analyze data from Raiser's Edge NXT and auxiliary systems to identify patterns in donor, alumni, family, and volunteer engagement; forecast fundraising cash and commitment trends; and model prospect development and campaign performance.

  • Develop longitudinal and comparative analyses to assess institutional performance against historical benchmarks, aspirational goals, and peer and AICAD institutions, identifying trends, deviations, and anomalies.

  • Apply statistical analysis and predictive modeling techniques to improve donor targeting, engagement strategies, and resource allocation across Institutional Advancement.

Strategic Partnership & Executive Decision Support
  • Serve as the primary analytics partner to the Vice President for Institutional Advancement, Board Development Committee, and Campaign Committee, supporting campaign and annual fundraising modeling and executive-level reporting.

  • Translate complex analytical findings into clear, decision-ready insights for senior leadership, Institutional Research, Finance, and other institutional stakeholders.

  • Provide research and analytical expertise to inform marketing strategy, including message timing, audience segmentation, and communication effectiveness for alumni, families, and friends of the College.

Project Management & Cross-Functional Collaboration
  • Lead and manage Institutional Advancement reporting and analytics projects, coordinating priorities, timelines, and deliverables across functional areas.

  • Collaborate closely with Major and Planned Giving, RISD Fund, Alumni + Family Relations, Stewardship, Museum, and other IA units to assess informational needs and deliver timely, outcome-focused analytics.

  • Act as the primary liaison with external vendors and marketing firms, managing secure data exchanges and evaluating analytical outputs.

Institutional, External & Compliance Reporting
  • Lead data preparation, validation, and submission for annual CASE VSE and AEM surveys, and support institutional reporting requirements, including the Chronicle of Philanthropy and IRS Form 990.

  • Work in partnership with Institutional Research and Finance to ensure consistency, accuracy, and alignment between advancement and institutional data reporting.

Digital & Behavioral Analytics
  • Leverage systems such as Almabase, Google Analytics, ThankView, and related digital platforms to analyze behavioral data associated with online giving, event registration, and volunteer activity.

  • Integrate digital engagement data into the SQL data mart and Tableau environment to support holistic constituent analytics and proactive strategic planning.

Additional Functions:

  • Performs other related duties as assigned.

  • Staffing of key IA and institutional events, including, but not limited to, Commencement + Reunion Weekend and Families Weekend.

Required Knowledge/Skills/Experience

  • Bachelor's degree required in data analytics, computer science, information systems, statistics, business, finance, or a related field; or an equivalent combination of education and advanced professional experience. Five to eight years of progressively responsible experience in data analytics, business intelligence, reporting, or data engineering, preferably within higher education advancement, nonprofit fundraising, or a complex, data-rich organization. Demonstrated experience supporting executive-level reporting and decision-making in a decentralized organizational environment.

  • Advanced expertise in Microsoft SQL Server, including data modeling, schema design, complex query development, performance optimization, and management of production reporting environments. Proven experience designing and maintaining a centralized SQL data mart serving as an authoritative analytics layer across multiple systems.

  • Strong experience integrating Blackbaud Raiser's Edge NXT (or comparable CRM/fundraising systems) with SQL-based reporting environments.

  • Advanced proficiency with Tableau, including development of published data sources, dashboards, governance standards, and performance optimization.
    Demonstrated experience building ETL workflows, automating data refresh processes, and integrating third-party platforms and auxiliary data sources. Strong applied knowledge of fundraising, alumni engagement, and prospect development metrics, including campaign analytics, forecasting, pipeline management, LYBUNT/SYBUNT, donor retention, and gift officer performance.

  • Experience conducting statistical analysis, longitudinal analysis, and predictive modeling to forecast fundraising outcomes, donor behavior, and engagement trends. Ability to synthesize complex, multi-source datasets into actionable insights for strategic planning and resource allocation. Familiarity with digital and behavioral analytics tools such as Almabase, Google Analytics, or similar platforms, and integrating engagement data into enterprise reporting.

  • Demonstrated ability to establish and maintain data governance standards, including metric definitions, documentation, data quality controls, and reporting consistency.

  • Experience improving data integrity, usability, and trust in enterprise CRM and analytics environments.

  • Proven ability to manage multiple concurrent analytics and reporting projects, prioritize competing demands, and meet deadlines in a high-impact environment.

  • Strong project management skills, including requirements gathering, stakeholder communication, and delivery of technical solutions aligned with business needs.

  • Ability to work collaboratively with cross-functional partners, including Advancement Services, Prospect Management, Gift Administration, Institutional Research, Finance, and external vendors.

  • Exceptional written, verbal, and data-visual communication skills, with the ability to translate technical and analytical concepts for non-technical audiences.

  • Demonstrated experience presenting analytical findings to senior leadership, boards, and committees.

  • Strong interpersonal skills and the ability to work effectively in a diverse, inclusive, and collaborative institutional environment requiring discretion and confidentiality.

  • Demonstrated ability to engage as a positive team member who establishes productive relationships, demonstrates respect and facilitates understanding by considering and integrating diverse viewpoints.

  • Excellent organization skills, with a demonstrated ability to prioritize, manage multiple demands, work under pressure, and meet deadlines with accuracy, speed, independent judgment, and minimal supervision.

Preferred Qualifications:

  • Experience supporting capital campaigns at a higher education institution

  • Familiarity with CASE VSE and AEM surveys, IRS Form 990, and external benchmarking publications

Union:

No

Work Schedule:

35 hours per week; 12 months per year

Employment Status:

Full-time; Exempt; Regular

Grade:

560EX

Work Modality

Hybrid Eligible

Documents Needed to Apply:

Resume (Required)

Cover Letter (Required)

Salary Grade Structure

Incomplete applications will not be considered. Please upload all required documents.

The successful candidate will be required to meet our pre-employment background screening requirements.

RISD recognizes diversity and inclusivity as fundamental to its learning community and integral to an art and design education. We welcome candidates whose experience has prepared them to contribute to our commitment to diversity and excellence. RISD is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, gender identity or expression, genetics, or any other protected characteristic as established by law.

For internal use only - Job Family:

Development - Operations