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Data Analyst

Thales
Bengaluru, IND
Full-time
Mid
Onsite
Discovered 2 days ago
databricksgitgitlab-cipostgresqlpower-bipython

Full Job Posting

Mandatory Skills

  • Programming & analytics: Strong proficiency in Python (and/or SQL) for data analysis.
  • Data querying: Strong expertise in SQL for extracting, joining, and transforming data.
  • Data modeling & reporting: Good experience designing data models and building reliable reporting structures.
  • BI/Dashboarding: Good experience with dashboarding/visualization tools (e.g., Power BI or equivalent).
  • Statistical thinking: Solid understanding of descriptive statistics and key analytical methods (segmentation, trends, correlations, basic inference).
  • Data quality: Experience implementing data validation checks and ensuring dataset reliability.
  • Databases: Good experience working with relational databases such as PostgreSQL (or equivalent).
  • Testing mindset: Experience supporting validation/testing for data pipelines (e.g., data checks, unit tests for transformations).
  • Collaboration & mindset: Autonomy, technical excellence, clear communication, teamwork, problem-solving, adaptability, curiosity, and continuous improvement.
  • Development practices: Familiarity with software/data lifecycle concepts and tools such as Git and Agile processes.
  • undefined Desired Skills Experience with data warehouses/lakehouses (e.g., Snowflake, Databricks, or similar).Experience with time-series analysis, forecasting, or causal impact methods.Good experience in preparing technical documentation for datasets, metrics, and analytical workflows.Good experience with CI/CD for data pipelines and GitLab CI/CD.Experience integrating LLM/AI-enabled analytics (e.g., automated insight generation, structured reporting, or enhanced querying) if applicable to the environment.
  • At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
  • Experience with data warehouses/lakehouses (e.g., Snowflake, Databricks, or similar).Experience with time-series analysis, forecasting, or causal impact methods.Good experience in preparing technical documentation for datasets, metrics, and analytical workflows.Good experience with CI/CD for data pipelines and GitLab CI/CD.Experience integrating LLM/AI-enabled analytics (e.g., automated insight generation, structured reporting, or enhanced querying) if applicable to the environment.

Preferred Qualifications

  • undefined Desired Skills

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