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Day 2
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From 11,598 similar postings that came down. Coming down is not always a hire.
Data Analyst
Bangalore, India
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-Site
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingExtract, join and transform data with SQL
Design data models and build reliable reporting structures
Build dashboards in Power BI or similar tools
Implement data validation checks to keep datasets reliable
Support validation and testing of data pipelines
From the employer’s posting
Strong expertise in SQL for extracting, joining, and transforming data.
Good experience designing data models and building reliable reporting structures.
Good experience with dashboarding/visualization tools (e.g., Power BI or equivalent).
Experience implementing data validation checks and ensuring dataset reliability.
Experience supporting validation/testing for data pipelines (e.g., data checks, unit tests for transformations).
What you’ll bring
All qualificationsCore experience
- Strong proficiency in Python (and/or SQL) for data analysis
- Strong SQL skills for querying and transforming data
- Solid understanding of descriptive statistics and analytical methods
- Good experience with relational databases such as PostgreSQL
- Familiarity with Git and Agile processes
Qualification wording
Strong proficiency in Python (and/or SQL) for data analysis.
Strong expertise in SQL for extracting, joining, and transforming data.
Solid understanding of descriptive statistics and key analytical methods (segmentation, trends, correlations, basic inference).
Good experience working with relational databases such as PostgreSQL (or equivalent).
Familiarity with software/data lifecycle concepts and tools such as Git and Agile processes.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 7, 2026
- Employer says posted
- Oct 23, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Thales is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- PostgreSQL
- Power BI
- Snowflake
Where the posting names them
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.
- 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.
- 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.
- 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).
- 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).
Your next step
Complete your application on thales.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Demand for Analyst roles
New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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