Senior Data Analytics & Insights Lead

Inetum

Lisboa

On-site

EUR 55,000 - 75,000

Full time

4 days ago
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Job summary

Inetum is seeking a Senior Data Analyst to transform data into actionable business insights. You will develop analytical solutions, automate data processes, ensure data quality, and support strategic decisions through advanced analytics and visualizations.

You will collaborate with business and IT stakeholders, leading initiatives and driving process improvements across the organization. Strong Python, SQL, and data visualization skills are essential for success in this role.

Qualifications

  • 6+ years of experience in Data Analytics, BI, Data Science, or related field.
  • Proven ability to lead analytical initiatives and engage with senior stakeholders.
  • Experience with large, complex datasets in a business environment.
  • Fluent English written and spoken.

Responsibilities

  • Develop, automate, and maintain Python-based analytical models and data processing pipelines.
  • Collect and interpret data from multiple sources to generate business insights.
  • Design and improve reporting solutions and decision-support tools.
  • Build and automate ETL processes using Python and SQL.
  • Monitor data quality and governance practices.
  • Create dashboards and data visualizations using Power BI or Tableau.
  • Define, track, and analyze KPIs related to business performance.
  • Collaborate with cross-functional teams to improve operations.

Skills

Years experience
Python
SQL
Power BI
Tableau
Data mining
Excel
Data analytics
Statistics

Tools

Power BI
Tableau
ETL
Data Warehousing

Job description

Inetum is seeking a Senior Data Analyst to transform data into actionable business insights. You will develop analytical solutions, automate data processes, ensure data quality, and support strategic decisions through advanced analytics and visualizations.

You will collaborate with business and IT stakeholders, leading initiatives and driving process improvements across the organization. Strong Python, SQL, and data visualization skills are essential for success in this role.

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