Data Analysis Specialist

Job Description

Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.

Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.

Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.

Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.

Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.

Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.

Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

A degree in computer science, data science or any other relevant field. A master's is a plus

4 years of experience in relevant fields

Data Engineering & Querying : Strong proficiency in SQL

Visualization & Reporting : Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.

Data Wrangling : Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.

Cloud & Analytics Tools : Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

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