Data Analyst Developer - AaraTechnologies Inc
Data Analyst (3 4 Years Experience)
Experience Level: Mid-level (3 4 years)
Company: Aaratech Inc
Visa sponsorship is not available.
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.