Data Analyst

Inabia-Software-

Atlanta (GA)

On-site

USD 85,000 - 120,000

Full time

8 days ago

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Job summary

Inabia-Software- seeks a Data Analyst in Atlanta, GA for a 3-month contract, onsite five days a week. The candidate will transform large datasets into actionable insights using Python, Power BI, SQL, and Snowflake, and support analytics initiatives across cloud platforms.

The role requires 4–8+ years in data analytics, BI, and reporting, with strong stakeholder communication and ability to deliver dashboards and reports that guide business decisions.

Qualifications

4–8+ years of experience in Data Analytics, BI, or Reporting.
Strong Python skills with Pandas/NumPy.
Proficient SQL and data analysis experience.
Hands-on Power BI and dashboard development.
Snowflake expertise is required.
Advanced Excel and data reporting skills.
Understanding of data modeling and warehousing.
Experience validating data and ensuring quality.
Ability to translate requirements to analytical solutions.
Experience with cloud data platforms ( Snowflake, Databricks, Redshift, BigQuery, Synapse ).
Strong problem-solving and communication with stakeholders.

Responsibilities

Analyze large datasets to identify trends and insights.
Develop and maintain dashboards and KPIs using Power BI.
Use Python for data manipulation and automation.
Write and optimize SQL for data extraction and reporting.
Work with Snowflake and cloud data platforms.
Gather requirements from stakeholders and translate to solutions.
Perform data validation and quality checks.
Create ad-hoc reports to support decisions.
Collaborate with Data Engineering and Data Science teams.
Support predictive analytics and forecasting activities.
Document metrics, data requirements, and processes.
Present findings to leadership and stakeholders.
Identify improvements for reporting and data quality.

Skills

4–8+ years exp

Python (Pandas/NumPy)

SQL

Power BI

Snowflake

Excel

Data Modeling

Data Validation

Stakeholder communication

Education

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

Tools

Databricks

Tableau

Jupyter Notebooks

Streamlit

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