Delhi-Delhi-India
Actively hiring, first seen by us 12 hours agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
You will lead the analytical and data foundation of the team.
You will lead the analytical and data foundation of the team.
You will design and build the market models, dashboards, and intelligence systems that let the Strategy and M&A team answer questions faster and with greater confidence.
You will lead the analytical and data foundation of the team. You will design and build the market models, dashboards, and intelligence systems that let the Strategy and M&A team answer questions faster and with greater confidence. You will also be the team’s authority on where data resides inside and outside Johnson Controls and how to use it.
Role summary You will lead the analytical and data foundation of the team. You will design and build the market models, dashboards, and intelligence systems that let the Strategy and M&A team answer questions faster and with greater confidence. You will also be the team’s authority on where data resides inside and outside Johnson Controls and how to use it. Key responsibilities
- Experience designing a knowledge repository, research database, or comparable system - Bachelor’s degree in engineering, economics, statistics, or a related field; MBA or master’s degree preferred - Excellent written and spoken English, with the ability to present to senior global stakeholders
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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- Dashboards: Design and maintain Power BI dashboards that track market size, competitor performance, and customer developments. - Data engineering: Use SQL and Python to extract, clean, and integrate internal and external datasets,and automate recurring refreshes. - Intelligence systems: Design and build the team’s intelligence database and exhibits and reports library. Establish the taxonomy, version control, and search conventions, then run these systems with AI assistance to accelerate ad hoc work.
- Advanced Excel modeling, with demonstrated experience in market sizing - Working proficiency in SQL and Python, including use of AI-assisted coding and familiarity with software development best practices such as version control, code documentation, and long-term code maintenance - Experience evaluating data sources, including assessing quality, coverage, and strategic fit to support business and market analysis
- 8+ years of experience, including 5+ years at a top-tier strategy consulting firm or its research or analytics center - Advanced Excel modeling, with demonstrated experience in market sizing - Working proficiency in SQL and Python, including use of AI-assisted coding and familiarity with software development best practices such as version control, code documentation, and long-term code maintenance
- Market models: Build and maintain Excel-based market models across strategic sectors, product lines, and geographies, and translate new intelligence into model updates. - Dashboards: Design and maintain Power BI dashboards that track market size, competitor performance, and customer developments. - Data engineering: Use SQL and Python to extract, clean, and integrate internal and external datasets,and automate recurring refreshes.
- Experience developing and evaluating financial models, including comparing and assessing alternative modeling approaches - Experience building dashboards in Tableau and/or Power BI - Experience designing a knowledge repository, research database, or comparable system
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Johnson Controls is establishing a Market Intelligence team in Gurugram to support its global Strategy and M&A organization, which has a presence on every continent. The team will be the company’s central source of market sizing, competitive monitoring, and trend intelligence across strategically important sectors, product lines, and geographies.
As a founding member, you will define how this function operates for the long term. With support from the global Strategy team, you will establish its methods, tools, and standards. The team will build its infrastructure once and run it with AI assistance, so its members can concentrate on analysis and insight.
You will lead the analytical and data foundation of the team. You will design and build the market models, dashboards, and intelligence systems that let the Strategy and M&A team answer questions faster and with greater confidence. You will also be the team’s authority on where data resides inside and outside Johnson Controls and how to use it.
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Delhi-Delhi-India
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