- AVP - Analytics is going to lead the charter of analytics across data sanctity/integrity,presentation & insights. He/She is expected to manage a team of 10-15 analysts & managers to drive key business insights for the company.
Job Responsibilities :
- Design, implement and drive adoption of new analytic technologies and solutions.
Educational/Professional Qualification :
Skills Required :
- Excellent analytical, problem-solving, presentation and communication skills.
- Creation and management of data architecture/setup in the company.
- Responsible for implementing tools/techniques to capture, manage and analyse data across all domains
- Assessment and implementation of necessary data visualization tools to ensure data availability to all key business stakeholders
- Guide team in generating business critical insights and influence strategic decision making through data
- Work across product, operations, marketing, supply and other business functions to provide tangible recommendations across revenue & cost optimization, growth and customer experience
- Responsible for reporting all key business metrics to stakeholders and ensuring adherence to business plans
- 8+ years of intensive experience of handling data and performing complicated data modelling preferably in a consulting, analytics or operations environment
- Bachelors/ Masters/ PhD degree in Engineering, Math, Computer Science,
- Information Systems, Machine Learning, Statistics, Econometric, Applied Mathematics, Operations Research or related technical degree
- Experience in architecting, building and maintaining (commercial or open source) software platforms and large-scale data infrastructures.
- Working knowledge of business intelligence and data management tools - Tableau,Qlikview etc
- Strong interpersonal and influencing skills
- Experience in managing teams for at least 2+ years -
- Experience working with big data platforms, like Hadoop, Hive, HBase, Spark, etc -
- Experience in Product / Web / Growth / Operation Analytics (preferred)
- Knowledge of a statistical programming language, like R or Python, and a database querying language like SQL
- Good knowledge of basic statistics, especially concepts such as statistical tests,distributions, maximum likelihood estimators, etc. (preferred)
- Candidate should be able to make improvements in predictive performance or algorithm optimization. (preferred)
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