Data Analyst: Build Dashboards & Actionable Insights

Heat learning portal; United States; Remoto; USD 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Heat learning portal is seeking a detail-oriented Data Analyst to collect, process, analyze, and interpret data to support business decision-making. The ideal candidate should have strong analytical skills, proficiency in SQL and Excel, and experience with data visualization tools such as Power BI or Tableau.

The role involves collecting data from multiple sources, cleaning, validating, and organizing it, creating dashboards and reports, and communicating insights to management and

Competenze

• Bachelor's degree in CS, Statistics, Mathematics, Economics, Business Analytics, or related field.
• Relevant certifications in Data Analytics are an advantage.

Mansioni

• Collect, clean, validate, and organize data from multiple sources.
• Analyze large datasets to identify trends, patterns, and business insights.
• Write SQL queries to extract and manipulate data.
• Create dashboards, reports, and visualizations using Power BI or Tableau.
• Prepare regular and ad-hoc reports for management and business teams.
• Monitor KPIs and business metrics.
• Identify data inconsistencies and recommend improvements.
• Collaborate with cross-functional teams to understand business requirements.
• Translate complex data into actionable business recommendations.
• Maintain data accuracy, integrity, and confidentiality.

Conoscenze

SQL

Excel

Power BI

Tableau

Data analysis

Formazione

Bachelor's degree in CS/Stats/Math/Econ/Business Analytics or related field

Data Analytics certifications (advantage)

Strumenti

Power BI

Tableau

ETL

Descrizione del lavoro

Heat learning portal is seeking a detail-oriented Data Analyst to collect, process, analyze, and interpret data to support business decision-making. The ideal candidate should have strong analytical skills, proficiency in SQL and Excel, and experience with data visualization tools such as Power BI or Tableau.

The role involves collecting data from multiple sources, cleaning, validating, and organizing it, creating dashboards and reports, and communicating insights to management and