Senior Manager Data Analytics

Gurgaon, India

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Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

At Publicis Sapient, we are quite literally on the front lines of the biggest issues facing the global markets leaders today – investment banks, asset management firms, wealth managers, oil and energy firms, and government and regulatory agencies.  Dynamic transformation and leading change within these industries requires big thinkers who bring insight, knowledge, technical acumen and passion for creativity.  What we offer is the opportunity to join a recognized leader in developing and delivering groundbreaking solutions for today’s adaptable global marketplace and an award-winning culture that fosters growth and guidance. Choose to be a Troublemaker – challenge the status quo, innovate, improve and seize the opportunity to transform yourself. All this while having fun along the way!  

Your Impact:

  • Lead, inspire and grow a team of 6-8 Business Intelligence reporting and analytics analysts responsible for global Capacity function reporting.
  • Work within and help to develop our fully modernized Microsoft Azure and PowerTools based analytics environment.
  • Play a key advisory role to Business leaders by managing analytics scope and delivery timelines
  • Synthesize data into business intelligence, communicating results clearly and recommending courses of action based on data insights.
  • Apply advanced and predictive analysis, people metrics and reporting to develop strategic and operational insights for workforce decision-making
  • Leverage engineering competence in advanced analytics techniques (e.g., linear regression, logistic regression, natural language processing).
  • Lead continuous improvement efforts in Analytics and Business Intelligence.
  • Control delivery quality with expertise and education in data modelling, data exploration, machine learning, statistical modelling, simulation modeling, data analysis, and deep learning is key.

Qualifications

Your Skills & Experience:

  • Minimum 10 years of experience in business analytics, metrics, business intelligence (BI), multivariate statistics and/or predictive modeling.
  • Experience in the business domains of HR or Finance helpful but not required
  • Strong communication, facilitation and project management skills
  • Expertise in statistical and BI software packages specifically, R, Python and PowerBI / PowerTools
  • Enjoy solving data business problems with an analytical approach by framing information clearly
  • Enjoy business and technology, a good business acumen, flexibility and systems thinking skill
  • Strong leadership and influencing skills.

 

Additional Information

Benefits of Working Here:

  • Gender-Neutral Policy
  • 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
  • Generous parental leave and new parent transition program
  • Flexible work arrangements
  • Employee Assistance Programs to help you in wellness and well being  
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Azure Business Analytics Business Intelligence Consulting CX Data analysis Data Analytics Deep Learning Engineering Finance Machine Learning NLP Power BI Predictive modeling Python R Statistics

Perks/benefits: Career development Flex hours Parental leave Startup environment

Region: Asia/Pacific
Country: India

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