Data Analyst

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 70,000 - 120,000; Full time

Job summary

Machine Learning Technologies, LLC in Atlanta seeks a Data Analyst to transform data into actionable insights. You will analyze large datasets, write SQL queries, and build dashboards to support business decisions across teams.

You’ll combine data modeling, ETL/ELT, and visualization skills with strong communication to translate requirements into KPI reports. Experience with Power BI or Tableau is essential, and Python/Pandas is a plus.

Qualifications

• Proven experience writing complex SQL queries to extract and analyze data.
• Experience with Power BI or Tableau for dashboards.
• Strong data modeling, ETL/ELT, validation, and reconciliation knowledge.
• Proficient in Excel (PivotTables, lookups, formulas) for data analysis.
• Experience with relational databases and large datasets.
• Familiar with Python/Pandas for automation is a plus.
• Strong communication and ability to translate business needs into analytics.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Develop and maintain interactive dashboards and reports using Power BI or Tableau.
• Perform data profiling, reconciliation, trend analysis, and root cause analysis.
• Translate business requirements into meaningful analytical solutions and KPIs.
• Build data models and reusable datasets for reporting and analysis.
• Perform ad hoc analysis to support business and operational decisions.
• Identify data quality issues and work with engineering/business teams to resolve them.
• Automate recurring reports and analytical processes where possible.
• Present analytical findings and actionable insights to business stakeholders.
• Maintain documentation for reports, KPIs, data definitions, and analytical processes.

Skills

SQL

Data analysis

Stakeholder communication

Problem solving

Data visualization

Statistical concepts

Tools

Power BI

Tableau

Excel

Python/Pandas

Relational databases

Job description

We are looking for a Data Analyst with strong analytical, SQL, reporting, and data visualization skills. The candidate will be responsible for analyzing large datasets, identifying trends and insights, developing dashboards, and supporting business teams with data driven decision making.

Key Responsibilities :

• Collect, clean, validate, and analyze data from multiple sources.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Develop and maintain interactive dashboards and reports using Power BI or Tableau.
• Perform data profiling, reconciliation, trend analysis, and root cause analysis.
• Translate business requirements into meaningful analytical solutions and KPIs.
• Build data models and reusable datasets for reporting and analysis.
• Perform ad hoc analysis to support business and operational decisions.
• Identify data quality issues and work with engineering/business teams to resolve them.
• Automate recurring reports and analytical processes where possible.
• Present analytical findings and actionable insights to business stakeholders.
• Maintain documentation for reports, KPIs, data definitions, and analytical processes.

Required Skills

• Strong hands on experience with SQL.
• Experience with Power BI, Tableau, or similar visualization tools.
• Good understanding of data modeling, ETL/ELT, data validation, and reconciliation.
• Strong working knowledge of Excel, including PivotTables, lookups, formulas, and data analysis.
• Experience working with relational databases and large datasets.
• Knowledge of Python/Pandas for data analysis and automation is preferred.
• Understanding of statistical concepts, KPIs, trends, and business metrics.
• Strong analytical, problem solving, and communication skills.
• Experience working directly with business stakeholders and converting requirements into analytical solutions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.