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# Data Analyst

- **Company:** CLINISOL TECH INC
- **Location:** Washington, DC, United States
- **Experience:** Experienced
- **Salary:** $60,000.0 - $90,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Spreadsheets, Data Cleansing, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Pivot Tables, Power BI, SQL Databases, Tableau (Software), Snowflake, Powerquery, Pandas, Data Analytics, Google Bigquery, Data Management, Looker Analytics, Amazon Redshift
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/2_166707392

## About the Role

Candidates must be authorized to work in the United States without sponsorship., * 2-3 years of experience in Data Analytics, Business Intelligence, Reporting, or a related field.

 * Strong proficiency in SQL and Microsoft Excel.
 * Hands-on experience with Power BI, Tableau, or another BI visualization tool.
 * Understanding of relational databases, data cleaning, and data-quality principles.
 * Strong analytical, problem-solving, and communication skills.
 * Ability to present complex data clearly and work collaboratively with stakeholders.
 * Familiarity with Python for data analysis is a plus.

Tools & Technologies

 * Querying: SQL, MySQL, PostgreSQL, SQL Server
 * Spreadsheets: Microsoft Excel, PivotTables, Power Query
 * Visualization: Power BI, Tableau, Looker
 * Programming: Python, Pandas
 * Data Platforms: Snowflake, Amazon Redshift, Google BigQuery

Preferred Skills

 * Experience with interactive dashboards, KPI reporting, and data visualization.
 * Familiarity with ETL/ELT processes and data warehousing.
 * Knowledge of basic statistics, trend analysis, and data modeling.
 * Experience automating reports and performing data-quality checks.

## Description

Clinisol Tech Inc. is seeking a detail-oriented Data Analyst with 2-3 years of experience in data analysis, reporting, and dashboard development. The ideal candidate will be comfortable extracting, cleaning, validating, and analyzing data to identify trends and provide meaningful insights to business stakeholders., * Extract, clean, transform, and analyze data from multiple sources.

 * Write SQL queries to retrieve, join, aggregate, and validate data.
 * Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools.
 * Use Microsoft Excel for data analysis, pivot tables, formulas, and reporting.
 * Track key performance indicators (KPIs), identify trends, and investigate discrepancies.
 * Automate recurring reports and improve reporting efficiency.
 * Translate business requirements into analytical reports and actionable recommendations.
 * Collaborate with business, operations, product, and technical teams.
 * Maintain data accuracy, documentation, and confidentiality.