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Data Analyst; HealthCare Background

Job in Hartford, Hartford County, Connecticut, 06183, USA
Listing for: SRI Tech
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 55 - 56 USD Hourly USD 55.00 56.00 HOUR
Job Description & How to Apply Below
Position: Data Analyst (HealthCare Background Must)
Job :
Hartford, CTSalary: USD 55-56 / Hourly (C2C)

Employment Type:

C2CCompany: SRI Tech Solutions

Job Title:

Data Analyst (Health Care Background Must)

Location:

Hartford, CTYears of

Experience:

5+ Years Job description

Responsible for collecting, analyzing, and interpreting large datasets to identify trends and patterns.

Perform data cleaning, transformation, and validation to guarantee data accuracy. Generating reports and dashboards to provide actionable insights to stakeholders. Collaborate with cross-functional teams to understand data needs and deliver effective solutions.

Conducting statistical analysis and predictive modeling will be essential to support decision-making processes.

Skills:

Advanced SQL , Python , ETL Pipeline Development in BQGCP Big Query, Repositories, Looker studio,  IAM policies. Salesforce (Service Cloud, Reporting, Admin experience helpful) Tableau
Create and maintain Executive dashboards, Alerts and Reports Tableau Server Administration --- Refresh schedules, Data prep and connections, Server Administration, Performance Optimization Health Insurance + Contact Center domain experience

Additional Checkpoint for quick help
-Starting with SQL + Tableau + Analytics-heavy profiles

Treat GCP, Salesforce, Python ML as screening differentiators, not blockers

Key indicators from the JD are.

Primary responsibility is analysis, reporting, dashboards, insights

Predictive modeling is mentioned, but no explicit ML stack/tools are defined

Salesforce is listed as “helpful”, not coreGCP is positioned around Big Query + ETL, not platform engineeringSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
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