Data Analyst

Robotics Technologies LLC
Atlanta, GA, United States
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Data Analysis Big Data Data Validation Extract Transform Load (ETL) Data Mining Data Profiling Data Visualization Relational Databases Python (Programming Language) Pivot Tables Power BI
+4 more
SQL Databases Tableau (Software) Freeform SQL Pandas

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., * 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.

Requirements

  • 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.

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