Key Responsibilities
Strategic Analysis: Design, execute, and oversee advanced analytical projects that evaluate business health, market trends, and operational efficiencies.
Data Architecture & Modeling: Collaborate with data engineers to optimize data structures, design robust data models, and streamline ETL (Extract, Transform, Load) pipelines for analytics.
Executive Stakeholder Management: Translate complex analytical findings into explicit, impactful stories and strategic recommendations for executive leadership and department heads.
Advanced Dashboarding: Oversee the development of enterprise-level, scalable dashboards and automated reporting systems using Tableau, Power BI, or Looker.
Mentorship & Leadership: Provide technical guidance, code reviews (SQL/Python), and analytical mentorship to mid-level and junior data analysts on the team.
Data Governance: Establish and enforce best practices for data documentation, metric definitions, and data quality assurance across the organization.
Predictive Insights:



Utilize statistical modeling and forecasting techniques to predict future business trends and mitigate risks.

Skills and QualificationsRequired Technical Skills
Extensive professional experience as a Data Analyst, with a proven track record in a Senior or Lead analytics capacity.
Expert-level SQL proficiency, including the ability to write, tune, and optimize highly complex queries across massive datasets.
Deep expertise in building complex, production-grade data visualizations and semantic layers in Tableau, Power BI, or Looker.
Solid proficiency in programming languages for data analysis, specifically Python (Pandas, NumPy, Scikit-learn) or R.
Strong experience working with contemporary cloud data warehouses (e.g., Snowflake, Google BigQuery, or AWS Redshift).
Solid understanding of statistical analysis, experimental design (A/B testing), and data mining techniques.

Preferred Qualifications
Bachelor’s or Master’s degree in a quantit

📌 Senior Data Analyst Madri
🏢 PACK ONE
📍 Madri