Job Description
Data Analyst
Location:
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.
Key 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.
Required Skills
4–8+ years of experience
in Data Analytics, Business Intelligence, Reporting, or a related field.
Strong 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.
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.
Education
Bachelor's or Master's degree in
Computer Science, Information Technology, Statistics, Mathematics, Engineering , or a related field.
Must-Have Skills
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.
Contract & Work Arrangement
Duration:
3 months, with potential for extension
Location:
Atlanta, GA
Work Arrangement:
100% onsite – 5 days per week
Employment type : W2
Job Tags
Contract work