Data Analyst: Insights, SQL & Dashboards

Quantum Technologies. LLC

Atlanta (GA)

On-site

USD 65,000 - 90,000

Full time

2 hours ago
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Job summary

Quantum Technologies. LLC is seeking a Data Analyst to transform large datasets into actionable insights. You will write complex SQL, build dashboards in Power BI or Tableau, and collaborate with business teams to drive data‑driven decisions.

You will perform data profiling, validate data, and develop reusable data models. Strong communication skills and a solid grasp of KPIs, trends, and metrics are essential for success.

Qualifications

  • Strong hands on experience with SQL.
  • Experience with Power BI, Tableau, or similar visualization tools.
  • Data modeling, ETL/ELT, data validation, and reconciliation.
  • Excel PivotTables and data analysis.
  • Experience with relational databases and large datasets.
  • Python/Pandas for data analysis is preferred.
  • Understanding of KPIs, trends, and business metrics.
  • Strong analytical, problem solving, and communication skills.
  • Experience translating requirements into analytical solutions.

Responsibilities

  • Collect, cleanse, and analyze data from multiple sources.
  • Write complex SQL queries for extraction and analysis.
  • Develop and maintain dashboards in Power BI or Tableau.
  • Perform data profiling, trend and root-cause analysis.
  • Translate business requirements into KPIs and analytics.
  • Build data models and reusable datasets.
  • Present findings to stakeholders.
  • Maintain documentation for reports and data definitions.

Skills

SQL
Power BI/Tableau
Data modeling
ETL/ELT
Excel PivotTables
Python/Pandas
KPIs & metrics
Stakeholder comms

Tools

Power BI
Tableau
Relational databases

Job description

Quantum Technologies. LLC is seeking a Data Analyst to transform large datasets into actionable insights. You will write complex SQL, build dashboards in Power BI or Tableau, and collaborate with business teams to drive data‑driven decisions.

You will perform data profiling, validate data, and develop reusable data models. Strong communication skills and a solid grasp of KPIs, trends, and metrics are essential for success.

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