Senior Advanced Analytics & Data Science Specialist
Posted on: 15/01/2026
Job Description
Description :
We are seeking an experienced Senior Advanced Analytics & Data Science Specialist to support a large-scale Digital Analytics transformation for a global retail client.
This role focuses on delivering diagnostic, predictive, and AI-enabled analytics that go beyond descriptive reporting, enabling teams to explain performance drivers, anticipate outcomes, and accelerate insight generation.
Key Responsibilities :
Diagnostic Analytics & Insight Generation :
- Design and implement diagnostic and statistical analytics to explain KPI movements and performance drivers.
- Develop decomposition, attribution, and driver-based analytical frameworks.
- Translate analytical outputs into interpretable metrics and features for dashboards.
- Partner with business stakeholders to frame why questions into analytical problems.
Predictive & Forecasting Analytics :
- Develop predictive models to forecast digital KPIs (traffic, conversion, revenue, orders).
- Implement short and medium-term forecasting models at varying granularities.
- Conduct scenario and sensitivity analyses to evaluate potential risks and opportunities.
- Monitor and recalibrate models as underlying data patterns evolve.
AI & Analytics Enablement :
- Support AI-driven insight generation and automated KPI explanations.
- Contribute to Natural Language Query (NLQ) readiness through feature engineering and metadata design.
- Develop AI-generated summaries, annotations, or insight narratives for dashboards.
- Partner with engineering teams to operationalize AI workflows within Databricks.
Productionization & Platform Integration :
- Implement analytics workflows using Databricks (SQL, Python, ML libraries, Genie Rooms) and CoPilot Studio.
- Ensure model outputs are production-ready and persisted in Gold or Platinum tables.
- Collaborate with DataOps teams to integrate analytics into CI/CD workflows.
- Ensure reproducibility, documentation, and auditability of analytical logic.
Collaboration & Ways of Working :
- Work closely with Data Engineers, Analytics Engineers, and BI teams.
- Participate in Agile delivery cycles, sprint planning, and knowledge transfer.
- Support upskilling of client teams on advanced analytics practices.
Required Qualifications :
Experience & Domain :
- 6- 10 years in advanced analytics, data science, or applied analytics.
- Proven track record delivering production-grade analytical solutions in enterprise environments.
- Exposure to retail, digital commerce, or digital analytics data.
- Hands-on experience with AI/LLM use cases in analytics or reporting.
Analytics & Modeling Skills :
- Strong experience in diagnostic analytics and KPI driver analysis.
- Proficiency in forecasting/predictive modeling techniques.
- Ability to translate business problems into analytical models.
- Familiarity with A/B testing, experimentation, or uplift modeling.
Technical Skills :
- Strong Python and SQL skills.
- Experience on Databricks or similar lakehouse platforms.
- Knowledge of ML libraries : scikit-learn, statsmodels, Prophet, or equivalent.
- Familiarity with GenAI and Agentic frameworks (Genie Rooms, CoPilot Studio, LangChain, LangGraph, LangSmith).
Analytics Engineering Mindset :
- Experience operationalizing analytics outputs into data platforms.
- Understanding of data quality, governance, and model validation principles.
- Comfortable working alongside engineering and BI teams.
Soft Skills :
- Strong communication and storytelling capabilities.
- Ability to explain complex analytics to non-technical stakeholders.
- Collaborative, delivery-oriented mindset.
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Posted by
Mrinmoyee Roy Chowdhury
Talent Acquisition Lead at CAPITALNUMBERS INFOTECH LIMITED
Last Active: 28 Jan 2026
53
Posted in
Data Analytics & BI
Functional Area
Data Science
Job Code
1601507
