Data Analyst Developer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, AaraTechnologies Inc, is seeking the following. Apply via Dice today!Data Analyst (3 4 Years Experience)Experience Level: Mid-level (3 4 years)Company: Aaratech IncVisa sponsorship is not available.About Aaratech IncAaratech 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 OverviewWe 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 ResponsibilitiesAnalyze large datasets to extract meaningful business insights and support data-driven strategiesWrite complex SQL queries to manipulate, aggregate, and analyze data from multiple sourcesDevelop and maintain interactive dashboards and reports using tools like Power BI, Tableau, or LookerCollaborate with cross-functional teams to define key metrics, KPIs, and reporting frameworksPerform data validation and quality checks to ensure accuracy and consistency of analytical outputsLeverage Python for advanced data analysis, automation, and integration with data pipelinesInterpret trends and patterns in complex data sets to influence business outcomesPresent findings clearly to technical and non-technical audiencesContribute to data governance practices and documentation standardsRequired Skills & Experience3 4 years of experience in a Data Analyst or Senior Analyst roleStrong command of SQL for querying, joining, and aggregating dataSolid experience with Python for data analysis, visualization, and scriptingProficiency with modern BI tools (e.g., Tableau, Power BI, Looker)Strong analytical mindset with experience in hypothesis testing, data exploration, and KPI trackingAbility to work independently and collaboratively with both technical and business stakeholdersFamiliarity with data warehousing concepts and working knowledge of platforms like Snowflake or BigQueryExperience translating business questions into analytical solutionsNice to HaveExperience working with cloud platforms (AWS, Google Cloud Platform, or Azure)Knowledge of dbt or ETL concepts for data transformationExposure to predictive analytics or machine learning workflowsConsulting background or experience in a multi-client environmentUnderstanding of data quality and compliance frameworks