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Senior Business Analyst

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P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship.

The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters

About the Role:

Business Analysts (BA) at P&G are an authority group belonging to the Analytics & Insight Department. BA provides the expertise and proficiency in data-based analytics about consumer, retailers and market understanding and insight. The core work is to identify & activate growth opportunities for our brands at country/ trade channels/ and specific retailers levels. We do this through outstanding analytics and deep insights based on data and advanced analytic & statistical tools. Our analytics is a combination of insight and foresight. Business Analysts deliver P&G business goals by using data and analytics to derive actionable consumer and business insights

Key Responsibilities:

  • Embed data analytics & decisions into P&G's monthly business process, based on both external data (e.g. market share and household consumption) and internal data (e.g. sales data).
  • Lead category/channel deep-dives (e.g. Baby Care/shave Care/Skin Care or Hyper Super/ Drug Pharma / e-commerce) to identify portfolio opportunities / business drivers opportunities to accelerate business.
  • Improve Media/Trade efficiency and enable media/trade cost saving by running analytics.
  • Data science or innovation projects to seek existing business questions differently by IoT, automation, external data, etc.
  • Overall work would be a good mix of delivering today (70-80% time/capacity) and crafting tomorrow (20-30% on innovation/data science projects).


Skills Required:

  • Ability to query and analyze data on a big data environment.

  • Ability to develop attributive and predictive models, based on deep-dive statistical analysis & modeling

  • Ability to demonstrate, translate and communicate complex data or algorithms into simple conclusions and business actionable insights

  • Excellent collaboration skills and the ability to work within diverse organizations and teams

  • Bachelors or Masters (preferred) in Business Analytics or Statistics or Engineering or Computer Science or Physical SciencesPreferred Coursework / Experience (not a must):

  • Knowledge Areas: Statistics and its application to Attributive & Predictive Modeling; Machine Learning, Big data Mining and AI.

  • Statistical Packages: Matlab, SPSS, SAS

  • Programming / Database Languages: Python, R, SQL

  • Visualization Tools: Power BI, Spotfire, Tableau

  • Platforms: Knowledge / experience with Hadoop, SPARK

  • Experience: Participated in Kaggle or any other data analytics competition

Dedication from us:

You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative work spaces where new ideas flourish. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: welcomed, valued, purposeful, challenged, heard, and inspired.

What we offer:

Continuous mentorship – you will collaborate with passionate peers and receive both formal training as well as day-to-day mentoring from your manager

Dynamic and supportive work environment – employees are at the centre, we value every individual and support initiatives, promoting agility and work/life balance.

Just So You Know:

We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: “Everyone valued. Everyone included. Everyone performing at their peak”.

Job locations:
Mumbai, Maharashtra, India
Job Type: Full-time Req No: IT 00002223
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