Data Analyst

Inabia Software & Consulting Inc.; Atlanta (GA); Presencial; USD 55 000 - 103 000; Tempo integral

Resumo da oferta

Inabia Software & Consulting Inc. is seeking a Data Analyst in Atlanta, GA for a 3-month W2 contract onsite. The role requires 4–8+ years in data analytics, BI, and reporting, with hands-on expertise in Python, Power BI, SQL, and Snowflake.

You will transform complex datasets into actionable business insights and support analytics initiatives across cloud platforms. The candidate will develop dashboards, validate data, and collaborate with Data Engineering and Data Science teams to drive

Qualificações

• 4–8+ years of experience in data analytics, BI, reporting.
• Strong Python skills with Pandas/NumPy for data manipulation.
• Proficient in SQL and data analysis for data extraction and validation.
• Hands-on experience with Power BI and dashboard/report development.
• Experience with Snowflake and cloud data platforms.

Responsabilidades

• Analyze large datasets to identify trends and insights.
• Develop and maintain dashboards and KPIs using Power BI.
• Write and optimize complex SQL queries for reporting.
• Collaborate with Data Engineering and Data Science teams on analytics initiatives.
• Support predictive analytics and forecasting activities.
• Document data requirements, metrics, and analytics processes.

Conhecimentos

Snowflake

Python – Pandas/NumPy

Power BI

SQL

Formação académica

Bachelor's or Master's in CS/IT/Stats/Math/Engineering

Ferramentas

Databricks

PySpark

Jupyter Notebooks

Streamlit

Descrição da oferta de emprego

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

1. Snowflake

2. Python – Pandas/NumPy

3. Power BI

4. 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