Position responsibilities and expectations

Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable insights that accelerate profitable growth
Working with bigdata, SAP, Oracle, Workday or several other large and complex databases
Designing and building analytical algorithms and models in SQL and other statistical tools
Strong data representation and lucid presentation (of analysis/modelling output) using R Markdown, Power Point, Excel etc.
Ability to learn new scripting language or analytics platform

Technical Skills required (must have)

Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Time Series and Non-parametric analysis
Strong hands-on experience of end-to-end statistical model development and implementation
Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc.
Exposure to Cloud technologies (Azure or AWS or GCP)

Technical Skills required (Any one or more)

Experience in video/ image analytics
Experience in IoT/ machine logs data analysis
Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME
Expertise in Cloud analytics platforms (Azure, AWS or Google)
Experience in Process Mining with expertise in Celonis or other tools
Industry focused analysis experience

Consulting skills required

Degrees/Certifications Earned

Others

Data Scientist ( Experienced)

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