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Statistical Analysis Data Reconfiguration Jobs in Rhode Island

Develop and implement evaluation and analysis plans. * Serve as contributing author to reports, proposals, presentations and publications. * Summarize and present statistical and/or research findings ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Develop and implement evaluation and analysis plans. * Serve as contributing author to reports, proposals, presentations and publications. * Summarize and present statistical and/or research findings ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Develop and implement evaluation and analysis plans. * Serve as contributing author to reports, proposals, presentations and publications. * Summarize and present statistical and/or research findings ...

Senior Data Scientist

Providence, RI ยท On-site +1

$141K - $220K/yr

Need deep knowledge of statistical analysis, predictive modeling, machine learning, data mining ... feature engineering, causal inference, scientific research methods. * Requires strong skills in SQL ...

... statistical and policy analysis. Qualifications Responsibilities: Gather, compile, validate, and analyze healthcare data within the Data Warehouse to support client management of the RI Medicaid ...

Partner with data science teams under leadership guidance to deliver model solutions * Create and ... Experience applying statistical analysis in Treasury modeling, risk management, forecasting, or ...

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Showing results 1-20

Statistical Analysis Data Reconfiguration information

See Rhode Island salary details

$29.4K

$69K

$115.1K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Aug 1, 2026, the average yearly pay for statistical analysis data reconfiguration in Rhode Island is $68,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $79,300.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

Can I make 6 figures as a data analyst?

Statistical Analysis Data Reconfiguration roles can offer six-figure salaries, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data visualization tools. Salaries vary by industry, location, and level of expertise, but high-level data analysts with specialized skills can reach or exceed six figures.

Is 40 too late for data science?

The role of a Statistical Analysis Data Reconfiguration specialist typically requires strong analytical skills and experience with data tools. Age is generally not a barrier if you have relevant skills, certifications, and a solid understanding of data analysis, programming languages like Python or R, and statistical methods. Many professionals successfully transition into data science later in their careers by building their technical expertise and portfolio.

Is statistical analysis and data reconfiguration a real job?

Yes, statistical analysis and data reconfiguration are real job functions often performed by data analysts, statisticians, or data engineers. These roles involve analyzing data sets, restructuring data for better usability, and using tools like SQL, Python, or R to support decision-making processes.

How much does statistical analysis and data reconfiguration pay?

Salaries for roles involving statistical analysis and data reconfiguration typically range from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals often use tools like R, Python, or SQL, and certifications such as SAS or data analysis degrees can influence compensation.
What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Rhode Island? For Statistical Analysis Data Reconfiguration jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Rhode Island look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Rhode Island are:
What cities in Rhode Island are hiring for Statistical Analysis Data Reconfiguration jobs? Cities in Rhode Island with the most Statistical Analysis Data Reconfiguration job openings:
Infographic showing various Statistical Analysis Data Reconfiguration job openings in Rhode Island as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $68,993 per year, or $33.2 per hour.

Senior Data Engineer - Credit Data Analytics

MDAEdge

Providence, RI โ€ข On-site

$115K - $138K/yr

Full-time

Re-posted 12 days ago


Job description

Job Summary:
MDAEdge is a company focused on delivering data-driven solutions, and they are seeking a Senior Data Engineer to drive data engineering efforts. The role involves developing analytics and automation solutions, managing complex data sets, and providing technical leadership across multiple systems and domains.
Responsibilities:
โ€ข The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are a must in this role.
โ€ข Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
โ€ข Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.
โ€ข Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.
โ€ข Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
โ€ข Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.
โ€ข Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
โ€ข Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls.
โ€ข Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.)
โ€ข Supports the design and execution of new analytics, automated testing tools, and models.
โ€ข Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.
โ€ข Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
โ€ข Exercises judgment, critical thinking, and sound communication skills to influence business partners.
โ€ข Coaches/trains junior team members in execution of analytics and automation activities.
Qualifications:
Required:
โ€ข Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools.
โ€ข Advanced skills in Microsoft Excel.
โ€ข Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data.
โ€ข Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools.
โ€ข Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision.
โ€ข Strong written and oral communication skills, with ability to communicate with both technical and executive audience.
Preferred:
โ€ข Experience with one or more of the following as plus: model development, machine learning/artificial intelligence (AI), and data science.
โ€ข Experience with one or more of the following a plus: DataRobot, Instabase, and UIPath.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.