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ADCI – Karnataka | Jobs | Business Intelligence Engineer, CBA – CAMS | BigDataKB.com | 01-04-22

Job Location: Bangalore

  • Masters in Statistics, Economics, Management OR Graduate in Industrial Engineering or Operations Research or Computer Science or a relevant quantitative discipline ·
  • Over 4+ years of relevant experience in advanced analytics and predictive modeling across any domain or function
  • At least 2+ years of hands-on experience in programing languages such as R / Python / SAS, Advanced SQL / Hive, Dashboarding tools such as Tableau / Quicksight, ETL Techniques, Advanced Excel
  • Proven track record in understanding business problems and developing effective algorithms and solutions ·
  • Ability to process large data sets from multiple data sources ·
  • Experience in Predictive modeling techniques and machine learning algorithms
  • Versatility to communicate clearly with both technical and non-technical audiences.
  • Strong sense of ownership and commitment and ability to work independently
  • Strong troubleshooting and problem solving skills

Job summary
Hundreds of millions of customers, billions of transactions, petabytes of data… Are you excited to use the world’s richest collection of e-commerce data to acquire new customers, engage existing customers, predict customer behavior, all with a view to delight customers? Custom Analytics and Marketplace Solutions (CAMS) within CBA (Customer Behavior Analytics) team seeks a Senior Business Intelligence Engineer to deliver actionable customer insights and build custom analytics solutions to drive new customers, engage existing customers and drive marketing efficiencies.
Amazon.com has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and opportunities.

As a Senior BIE in the team, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining, statistical modelling and machine learning techniques. You will need to collaborate effectively with internal stakeholders, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organisational standards.

In this role, you will:

  • Provide thought leadership on the design and implementation of next generation products/solutions and data science-intensive technology solutions
  • Interface with Global Business Stakeholders, Engineers and Data / Research Scientists across time zones to gather requirements by asking the right questions
  • Conduct deep dive analyses of business problems, make and validate appropriate assumptions and formulate conclusions / recommendations using large data sets; determine optimized course of action to deliver comprehensive Analytical solutions.
  • Enhance analytical maturity through predictive and prescriptive analytics using Statistical modelling, Machine Learning and Optimization techniques.
  • Produce written recommendations and insights for key stakeholders to help shape solution design
  • Design, develop and maintain scalable and reliable analytical tools, dashboards, and metrics that drive key marketing and product decisions.
  • Handle multiple projects at once, deal with ambiguity and rapidly-changing priorities
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  • Prior experience in Big Data Technologies
  • Past Experience in marketing and lifecycle marketing
  • Familiarity with experimentation and machine learning techniques
  • Experience providing technical leadership and mentoring other members for best practices in data science and analytics

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