Data Analyst

Thales is hiring a Data Analyst in Bengaluru, India. Level rates it ; you can apply on Thales.

Level's read on this job

Little AI ●○○○ is how Level rates this data analyst role: aI is not part of the work.
Tools and skills the posting cites include Databricks.
Level lists 3,200+ other open roles at Thales.
The role was posted in the last few days.

AI in this role

databricks

Location: Bangalore, India

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.

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.
undefinedDesired 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.

How we rate this

Data Analyst at Thales rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.