Merck Group - Business Analytics Manager

- Deep dive into assessment of key drivers for KPIs by drawing relevant business hypothesis and quantify the impact of these drivers on the relevant KPI

- Responsible for defining and improving key metrics and communicating business trends to leadership

- Working closely with the business/product teams to enable data driven decision making.

- Lead and mentor junior Analysts

- Required to think at scale and integrates solutions into product systems/ solution onboarded on ML platform

- Able to influence investment opportunities for business based on internal/ external data

- Model data in order to create reporting infrastructure/dashboards for business process management and data mining

- Working closely with the business/product teams to enable data driven decision making

- Execute quantitative analysis that translates data into actionable insights

- Drive data driven decision making through the stakeholder

- Influence new opportunities for business based on internal/ external data.

- Drive the team to adopt new and innovative ways of solving business problems

Requirements:

- Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute

- 9+ Years of experience in a relevant role and 2 years or more in a Lead Analyst role

Key competencies:

- Ability to think on scale and apply the right analytical/ statistical solve

- Ability to identify new opportunities for business based on internal/ external data

- Ability to identify and enable adoption of innovative solves to business problems

- Ability to trade-off between different approaches/ metrics to arrive at optimal solutions

- Strong organizational, communication, presentation and project management skills

- Ability to course correct and deliver in a changing business environment

- Exceptional written and verbal communication skills

- Ability to perform gracefully in a multitasking project environment with attention to detail

- Ability to guide juniors in the team on planning, prioritization and execution

Technical capabilities:

- Proficient in SQL, Excel, other scripting languages (R, Python, etc.)

- Strong background in statistical modelling and experience with statistical tools such as R, Python, - Spark, SAS or SPSS. High expertise in building machine learning models.

- Good to have : working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio, etc)

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