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Lead - Data Sciences & Analytics
Mumbai, Maharashtra, India
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Strong proficiency in Python, R, SQL, and data analytics tools.
- Leadership & Team Collaboration
- Communication & Presentation Skills
- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Experience working on enterprise-scale analytics projects.
Preferred experience
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.
Qualification wording
8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
Strong proficiency in Python, R, SQL, and data analytics tools.
Leadership & Team Collaboration
Communication & Presentation Skills
Experience working on enterprise-scale analytics projects.
Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.
Education & alternatives
- B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline. - Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred. Experience
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 10, 2026today
- Recorded sightings
- 1
- 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
adani-realty is hiring
1 open job
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
- R
- SQL
- AWS
- Azure
- Databricks
- GCP
- Hadoop
- Power BI
- Spark
- Tableau
Where the posting names them
Technical Skills - Strong proficiency in Python, R, SQL, and data analytics tools. - Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications.
- Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms. - Knowledge of cloud platforms such as Azure, AWS, or GCP. - Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems.
- Knowledge of cloud platforms such as Azure, AWS, or GCP. - Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems. - Understanding of data warehousing, ETL, and data governance frameworks.
- Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications. - Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms. - Knowledge of cloud platforms such as Azure, AWS, or GCP.
Your next step
Complete your application on eibd.fa.em2.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
- Applying starts by asking for your email address.
- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% 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.
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
Associate Manager - Data Science & Analytics (O5)
Business: Adani Group
Department: Digital Transformation / Data Science & Analytics
Location: Ahmedabad / Mumbai / Project Locations
Key Responsibilities Data Analytics & Business Intelligence
- Analyze large and complex datasets from multiple sources to generate actionable business insights.
- Design and develop dashboards, KPIs, scorecards, and reporting frameworks for leadership review.
- Establish data governance standards, data quality controls, and reporting accuracy mechanisms.
- Conduct trend analysis, forecasting, and root-cause analysis to support key business decisions.
Data Science & Machine Learning
- Develop predictive and prescriptive analytics models to improve business outcomes.
- Build and deploy Machine Learning (ML) and Artificial Intelligence (AI) solutions for various business functions.
- Work on demand forecasting, risk analytics, productivity optimization, cost reduction, and resource utilization models.
- Evaluate emerging AI technologies and recommend innovative use cases across the organization.
Data Engineering & Automation
- Collaborate with technology teams to build scalable data pipelines and analytics platforms.
- Automate recurring reports and analytical processes using advanced data tools.
- Ensure seamless integration of data across ERP, CRM, HRMS, Project Management, and operational systems.
Stakeholder Management
- Partner with Business Heads, Functional Leaders, and Project Teams to understand analytical requirements.
- Translate business challenges into data science use cases and measurable outcomes.
- Present analytical findings and recommendations to senior leadership in a clear and impactful manner.
Innovation & Digital Transformation
- Drive AI-led digital transformation initiatives across business units.
- Identify opportunities for process optimization through advanced analytics.
- Benchmark industry best practices and implement innovative analytical frameworks.
Required Qualifications
- B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.
Experience
- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Experience working on enterprise-scale analytics projects.
- Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.
Technical Skills
- Strong proficiency in Python, R, SQL, and data analytics tools.
- Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications.
- Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems.
- Understanding of data warehousing, ETL, and data governance frameworks.
Behavioral Competencies
- Strategic Thinking
- Business Acumen
- Analytical & Problem-Solving Skills
- Stakeholder Management
- Innovation & Continuous Improvement
- Leadership & Team Collaboration
- Result Orientation
- Communication & Presentation Skills
Key Deliverables
- Enterprise Analytics Strategy Execution
- AI & Machine Learning Solution Deployment
- Automated Reporting & Dashboarding
- Predictive Analytics Models
- Data Governance Compliance
- Business Insight Generation
- Operational Efficiency Improvements
- Digital Transformation Enablement
Grade: O5 - Associate Manager
Required Qualifications
- B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
- Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.
Experience
- 8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
- Experience working on enterprise-scale analytics projects.
- Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.