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Data Analyst

inabia

Responsibilities

  • Analyze large and complex datasets to identify trends, patterns, opportunities, and business insights.
  • Develop and maintain interactive dashboards, reports, KPIs, and data visualizations using Power BI or similar BI tools.
  • Use Python, Pandas, and NumPy for data manipulation, analysis, and automation.
  • Write, optimize, and maintain complex SQL queries for data extraction, transformation, validation, and reporting.
  • Work extensively with Snowflake and cloud-based data platforms.
  • Gather requirements from business stakeholders and translate them into analytical solutions.
  • Perform data validation, quality checks, reconciliation, and root-cause analysis to ensure data accuracy and reliability.
  • Create ad-hoc reports and analytical solutions to support business and operational decisions.
  • Collaborate with Data Engineering and Data Science teams on analytics and data initiatives.
  • Support predictive analytics, AI-driven insights, business performance monitoring, and forecasting activities.
  • Document business rules, KPI definitions, data requirements, metrics, and analytical processes.
  • Present analytical findings, trends, and recommendations to business stakeholders and leadership.
  • Identify opportunities to improve reporting, data quality, analytics processes, and self-service BI capabilities.

Requirements

  • Atlanta, GA – Onsite 5 Days/Week Duration: 3-Month Contract, with possibility of extension Employment Type: W2 Contract Job Overview We are seeking an experienced Data Analyst with 4–8+ years of experience in data analytics, business intelligence, reporting, and data-driven decision-making.
  • The ideal candidate will have strong hands-on expertise in Python, Power BI, SQL, and Snowflake , with the ability to transform complex datasets into actionable business insights.
  • The candidate should be comfortable working with business stakeholders, analyzing large datasets, developing dashboards and reports, performing data validation, and supporting analytics initiatives across cloud data platforms.
  • Skills 4–8+ years of experience in Data Analytics, Business Intelligence, Reporting, or a related field.
  • Python skills, particularly Pandas and NumPy .
  • Strong SQL and data analysis experience.
  • Hands-on experience with Power BI and dashboard/report development.
  • Strong hands-on experience with Snowflake – Must Have .
  • Advanced Excel and data reporting skills.
  • Understanding of data modeling, data warehousing, and analytical data structures.
  • Experience with statistical analysis and interpretation of business metrics.
  • Strong data validation, reconciliation, and quality-checking skills.
  • Experience working with cloud-based data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
  • Strong problem-solving and analytical skills.
  • Excellent stakeholder management, communication, and presentation skills.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering , or a related field.
  • Snowflake Python – Pandas/NumPy Power BI SQL Good-to-Have Skills Databricks PySpark Generative AI / AI-powered analytics Natural Language Querying ETL/ELT Azure / AWS / GCP Machine Learning fundamentals Forecasting Streamlit Jupyter Notebooks Data Governance Success Criteria Ability to convert complex data into clear, actionable business insights.
  • Strong combination of technical analytics skills and business acumen.
  • Ability to develop reliable dashboards, reports, and analytical solutions.
  • Strong focus on data accuracy, quality, and governance.
  • Effective collaboration with business, Data Engineering, and Data Science teams.
  • Ability to communicate analytical findings and recommendations clearly to stakeholders and leadership.

Preferred

  • / Good-to-Have Skills Experience with Snowflake and Databricks .
  • Exposure to Generative AI, AI-powered analytics, and Natural Language Querying .
  • Knowledge of PySpark and large-scale data processing.
  • Familiarity with ETL/ELT pipelines and data governance.
  • Experience with Azure, AWS, or GCP ecosystems.
  • Knowledge of Machine Learning fundamentals and forecasting techniques.
  • Experience with Streamlit and Jupyter Notebooks .
  • Experience with Tableau, Looker, or other self-service analytics platforms.
  • Understanding of data governance, metadata, and data quality frameworks.

Contract & Work Arrangement Duration

3 months, with potential for extension Location: Atlanta, GA Work Arrangement: 100% onsite – 5 days per week Employment type : W2

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