Negotiable
Outside
Hybrid
USA
Summary: The Data Analyst role at Aaratech Inc requires a mid-level professional with 3 to 4 years of experience in data analysis, reporting, and decision support. The position involves transforming raw data into actionable insights using SQL, Python, and BI tools while collaborating with stakeholders to drive data-informed decisions. The role is client-facing and emphasizes the importance of data governance and quality. Visa sponsorship is not available for this position.
Key Responsibilities:
- Analyze large datasets to extract meaningful business insights and support data-driven strategies
- Write complex SQL queries to manipulate, aggregate, and analyze data from multiple sources
- Develop and maintain interactive dashboards and reports using tools like Power BI, Tableau, or Looker
- Collaborate with cross-functional teams to define key metrics, KPIs, and reporting frameworks
- Perform data validation and quality checks to ensure accuracy and consistency of analytical outputs
- Leverage Python for advanced data analysis, automation, and integration with data pipelines
- Interpret trends and patterns in complex data sets to influence business outcomes
- Present findings clearly to technical and non-technical audiences
- Contribute to data governance practices and documentation standards
Key Skills:
- 3 4 years of experience in a Data Analyst or Senior Analyst role
- Strong command of SQL for querying, joining, and aggregating data
- Solid experience with Python for data analysis, visualization, and scripting
- Proficiency with modern BI tools (e.g., Tableau, Power BI, Looker)
- Strong analytical mindset with experience in hypothesis testing, data exploration, and KPI tracking
- Ability to work independently and collaboratively with both technical and business stakeholders
- Familiarity with data warehousing concepts and working knowledge of platforms like Snowflake or BigQuery
- Experience translating business questions into analytical solutions
Salary (Rate): undetermined
City: Washington
Country: USA
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
Data Analyst (3 4 Years Experience)
Experience Level: Mid-level (3 4 years)
Company: Aaratech Inc
About Aaratech Inc
Aaratech Inc is a specialized IT consulting and staffing firm delivering high-caliber technical talent to premier U.S. companies. Our focus spans cloud, data, and software engineering, connecting professionals with long-term, impactful roles. Our client engagements offer competitive compensation, career growth, and access to modern data and analytics environments.
Position Overview
We are seeking a Data Analyst with 3 4 years of hands-on experience in data analysis, reporting, and decision support. This client-facing role requires someone adept at transforming raw data into actionable insights using SQL, Python, and modern BI tools. You will collaborate with stakeholders across business and engineering to uncover trends, support strategic initiatives, and drive data-informed decisions.
Key Responsibilities
Analyze large datasets to extract meaningful business insights and support data-driven strategies
Write complex SQL queries to manipulate, aggregate, and analyze data from multiple sources
Develop and maintain interactive dashboards and reports using tools like Power BI, Tableau, or Looker
Collaborate with cross-functional teams to define key metrics, KPIs, and reporting frameworks
Perform data validation and quality checks to ensure accuracy and consistency of analytical outputs
Leverage Python for advanced data analysis, automation, and integration with data pipelines
Interpret trends and patterns in complex data sets to influence business outcomes
Present findings clearly to technical and non-technical audiences
Contribute to data governance practices and documentation standards
Required Skills & Experience
3 4 years of experience in a Data Analyst or Senior Analyst role
Strong command of SQL for querying, joining, and aggregating data
Solid experience with Python for data analysis, visualization, and scripting
Proficiency with modern BI tools (e.g., Tableau, Power BI, Looker)
Strong analytical mindset with experience in hypothesis testing, data exploration, and KPI tracking
Ability to work independently and collaboratively with both technical and business stakeholders
Familiarity with data warehousing concepts and working knowledge of platforms like Snowflake or BigQuery
Experience translating business questions into analytical solutions
Nice to Have
Experience working with cloud platforms (AWS, Google Cloud Platform, or Azure)
Knowledge of dbt or ETL concepts for data transformation
Exposure to predictive analytics or machine learning workflows
Consulting background or experience in a multi-client environment
- Understanding of data quality and compliance frameworks