Data Analyst

Modern Ballistic; United States; Remoto; USD 120.000 - 160.000; Tempo pieno

Descrizione del lavoro

Modern Ballistic is seeking a senior data analyst to extract, clean and analyze large datasets using SQL and Python or R. You will build interactive dashboards in Power BI or Tableau and define business KPIs to drive decisions.

You will collaborate with business teams to gather requirements, ensure data quality across sources, and automate recurring reports while delivering clear, stakeholder-facing insights.

Competenze

• 26 years of hands-on data analysis experience.
• Strong SQL (joins, subqueries, window functions, CTEs).
• Power BI (DAX, Power Query) or Tableau.
• Advanced Excel (pivot tables, VLOOKUP/XLOOKUP, Power Pivot).
• Python (Pandas, NumPy) for data manipulation.
• Good understanding of data modelling and statistics basics.
• Strong communication and storytelling skills.

Mansioni

• Extract, clean and analyse large datasets with SQL and Python or R.
• Build interactive dashboards and reports in Power BI or Tableau.
• Define, track and report business KPIs and metrics.
• Analyse trends, patterns and anomalies, and present findings to stakeholders.
• Work with business teams to gather requirements and turn them into analytical solutions.
• Check data accuracy, consistency and quality across sources.
• Automate recurring reports and data workflows.
• Support ad-hoc analysis requests from business and leadership teams.

Conoscenze

Hands-on data analysis experience

SQL

Power BI

Tableau

Advanced Excel

Python

Data modelling basics

Storytelling

Strumenti

Power BI

Tableau

Descrizione del lavoro

Role & responsibilities

Key Responsibilities

• Extract, clean and analyse large datasets with SQL and Python or R
• Build interactive dashboards and reports in Power BI or Tableau
• Define, track and report business KPIs and metrics
• Analyse trends, patterns and anomalies, and present findings to stakeholders
• Work with business teams to gather requirements and turn them into analytical solutions
• Check data accuracy, consistency and quality across sources
• Automate recurring reports and data workflows
• Support ad-hoc analysis requests from business and leadership teams

Must-Have Skills

• 26 years of hands-on data analysis experience
• Strong SQL (joins, subqueries, window functions, CTEs)
• Power BI (DAX, Power Query) or Tableau
• Advanced Excel (pivot tables, VLOOKUP/XLOOKUP, Power Pivot)
• Python (Pandas, NumPy) for data manipulation
• Good understanding of data modelling and statistics basics
• Strong communication and storytelling skills