12/06 Nikita Sharma
Senior Consultant - Analytics & Digital at Crescendo Global

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Manager - Analytics & Business Intelligence - CPG/Retail (10-15 yrs)

Bangalore Job Code: 708481

A role to manage delivery of analytics projects into CPG and retail domain by managing a team of data scientists Designing predictive analytics and diagnostic analytics processes for Commercial and Operations using cutting edge data science-related methods and tools to derive insights and improve business performance based on the opportunities

LOCATION : Bangalore

YOUR FUTURE EMPLOYER: One of India's top FMCG companies


- Delivery of analytics projects and Data mining and Slicing /Dicing techniques to highlight key opportunity areas and automate reports (Ability to leverage macros/power pivots/Visual Basic and hands on experience on advanced reporting tools like Power BI, Tableau)

- Advanced statistical and quantitative analysis skills - e.g. Machine Learning, Statistical modelling, Time Series Analysis, etc.

- Knowledge of databases and associated tools - e.g. Access, SQL, SAS and R

- Knowledge of ETL methods such as data imputation, data cleaning, outlier handling, etc.

- Strong programming skills in one or more of the following - R, Python, SAS

- Deliver production ready models that can be deployed in client's system, if required

- Create relevant output documents, as required - power point deck/ excel files, dataframes etc.

- Overall project management, creating a project plan and timeliness for the project and obtain client sign-off

- Monitor project progress in conjunction with the project plan - report risks, scope creep etc. in a timely manner

- Resource development and overall mentoring of team


- 10+ years of experience in analytics or data science and data visualization space with exposure to technology.

- Expert in data visualization, dashboards and storytelling

- Engineering, mathematical or statistical background

- Extensively worked on R/SAS and SQL

- Excellent experience in Tableau, PowerBI or qlikview

- Expertise in big data technologies like spark, pyspark, sparkR etc. and natural language processing

- Strong exposure to client management, product development, proposal creation etc.

- Exposure in implementing data science solutions in production environments


- An opportunity to define, lead and co-ordinate the technical functions of the company.

- Liaise extensively with stakeholders.

- A meritocratic culture with great career progression

Women-friendly workplace:

Maternity and Paternity Benefits

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