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Associate Data Analyst Jobs in Riverside, RI (NOW HIRING)

Senior CMDB Analyst

Carolina, RI · Remote

$88K - $117K/yr

The primary function of this role will be to support the end-to-end quality of CMDB data through ... the needs of our associates. More information can be found at Qualifications: Minimum ...

Senior CMDB Analyst

Carolina, RI · Remote

$88K - $117K/yr

The primary function of this role will be to support the end-to-end quality of CMDB data through ... the needs of our associates. More information can be found at Qualifications: Minimum ...

The Associate Category Analyst will work proactively with cross-functional teams, including Sales & Marketing, R&D, Communications, Operations, and Customer Service, to understand data points ...

The Associate Category Analyst will work proactively with cross-functional teams, including Sales & Marketing, R&D, Communications, Operations, and Customer Service, to understand data points ...

The Associate Category Analyst will work proactively with cross-functional teams, including Sales & Marketing, R&D, Communications, Operations, and Customer Service, to understand data points ...

The Associate Category Analyst will work proactively with cross-functional teams, including Sales & Marketing, R&D, Communications, Operations, and Customer Service, to understand data points ...

The Associate Category Analyst will work proactively with cross-functional teams, including Sales & Marketing, R&D, Communications, Operations, and Customer Service, to understand data points ...

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Associate Data Analyst information

See Riverside, RI salary details

$33.4K

$81.1K

$133.5K

How much do associate data analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for associate data analyst in Riverside, RI is $81,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 per year, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What job categories do people searching Associate Data Analyst jobs in Riverside, RI look for? The top searched job categories for Associate Data Analyst jobs in Riverside, RI are:
What cities near Riverside, RI are hiring for Associate Data Analyst jobs? Cities near Riverside, RI with the most Associate Data Analyst job openings:
Infographic showing various Associate Data Analyst job openings in Riverside, RI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,110 per year, or $39 per hour.

Manager, Compensation Data and Analytics

Fidelity Investments

Smithfield, RI • On-site, Remote

$80K - $153K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 139 rated financial services


Job description

Job Description:

TheRole

The Manager, Compensation Data and Analytics works in the Corporate Compensation team and assists with reporting and data visualization using a vast array of reporting tools and code base analysis. In this role, you will build robust ETL workflows in Alteryx, automate system administration with PowerShell, develop interactive Tableau dashboards, and utilize JavaScript to integrate analytics into our broader application ecosystem. You will bridge the gap between complex data extraction, automation, and visually compelling business intelligence

  • Assist in the development of reporting and analytic tools using Snowflake, Alteryx, Excel, Tableau, PowerShell, JavaScript and other Fidelity systems
  • Testing and ensuring the quality of core data, reports and tools
  • Defines, interprets and analyzes problems in terms of system requirements and suggests modifications to the system design
  • Partner with technology team to set up and improve existing data infrastructure
  • Assist with issue resolution processes, communicate project milestones to all levels of the Compensation organization
  • Creates complex data visualizations that will be used for executive presentations
  • Work with cross functional groups (technology and business unit HR) to support delivery of compensation tools and analytics.
  • Work with compensation data to uncover information and insights to help senior executives make decisions on a wide array of compensation programs including annual bonus, short-term and long-term incentives, as well as ongoing ad hoc information requests.

TheExpertiseandSkillsYouBring

The role requires expertise with reporting tools such as Tableau, PowerBI and Alteryx. Additionally, coding experience with SQL, PowerShell, Javascript is helpful. The candidate must be able to translate business needs into technical requirements and turn it into actionable insights into our Compensation Programs.

  • College degree with 2-5 years of experience using reporting tools, relational databases, and creation of reports, and analytics.
  • SQL, Alteryx, Tableau, or other reporting/Data ETL tool skills required
  • Powershell, Javascript, Other coding experience preferred
  • Outstanding Microsoft Office skills, especially Excel and Powerpoint

Note: Fidelity is not providing immigration sponsorship for this position

TheTeam

The Compensation Data and Analytics team sits within the HR Function and supports HR leadership and the broader HR function. Our team analyzes the effectiveness of compensation programs for Fidelity associates. We provide executive decision support that enables us to attract and retain talent across all job roles. Within the HR function we provide data and insights to support the Compensation function and HR leaders allowing them to make the pay decisions throughout the year.

The base salary range for this position is $80,000-$153,000 per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Business Analytics and Insights

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