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Data Analytics Jobs in Cranston, RI (NOW HIRING)

Tiger Analytics Inc.

Data Architect

Johnston, RI · On-site

$64.75 - $83.25/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for ...

Citizens

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

Citizens

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

Citizens

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Requires a Master's degree in Analytics, Data Analytics or related field and 4 years of experience in the position offered, BI Developer, or a closely related position. Alternatively, employer will ...

Paradigminfotech

Data analyst

Warwick, RI · On-site

... and analytics experience, with utilization of data for statistical and policy analysis. Qualifications Responsibilities: Gather, compile, validate, and analyze healthcare data within the Data ...

Performance Team

Data Analyst - Hopedale, MA

Hopedale, MA · On-site

$60K - $69K/yr

Qualifications: * 1-3 years of experience in data analytics, business intelligence, supply chain, manufacturing, or distribution operations. * Advanced Microsoft Excel skills including Pivot Tables ...

Maersk

Data Analyst - Hopedale, MA

Hopedale, MA · On-site

$60K - $69K/yr

Qualifications: * 1-3 years of experience in data analytics, business intelligence, supply chain, manufacturing, or distribution operations. * Advanced Microsoft Excel skills including Pivot Tables ...

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All JobsData Analytics JobsData Analytics Jobs in Cranston, RI

Data Analytics information

See Cranston, RI salary details

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$53

$92

How much do data analytics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analytics in Cranston, RI is $53.38, according to ZipRecruiter salary data. Most workers in this role earn between $42.88 and $60.48 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Cranston, RI?

The most popular types of Data Analytics jobs in Cranston, RI are:

What job categories do people searching Data Analytics jobs in Cranston, RI look for?

The top searched job categories for Data Analytics jobs in Cranston, RI are:

What cities near Cranston, RI are hiring for Data Analytics jobs?

Cities near Cranston, RI with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Cranston, RI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $111,376 per year, or $53.5 per hour.

Data Architect

Tiger Analytics Inc.

Johnston, RI • On-site

$64.75 - $83.25/hr

Full-time

Re-posted 15 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real‑time streaming architectures using Kafka. This role drives alignment across business domains and enables high‑quality, governed, and interoperable data for analytics and operational use cases.

Responsibilities:

  1. Develop and enhance canonical data models, semantic models, and domain‑driven data contracts to enable cross‑enterprise data interoperability.
  2. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles.
  3. Design and implement data architecture patterns to support real‑time streaming solutions using Kafka.
  4. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well‑governed data models.
  5. Ensure consistent application of data governance, metadata management, and lineage standards across data domains.
  6. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake.
  7. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling.
  8. Support enterprise initiatives around real‑time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations.

Requirements

  • Significant experience with canonical data modeling and enterprise‑wide conceptual/logical/physical modeling.
  • Strong background in semantic modeling and data mesh design principles.
  • Hands‑on experience with Kafka, including event modeling, schema strategy, and real‑time pipeline architecture.
  • Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake.
  • Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems.
  • Familiarity with data governance, data quality, metadata, and lineage frameworks.
  • Strong SQL skills and proficiency in at least one programming language (Python preferred).
  • Excellent communication skills with the ability to work across technical and business teams.
  • Hands‑on experience with enterprise data catalog and metadata systems.
  • AWS certification (Solutions Architect, Data Analytics Specialty, etc.)

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.