Head Of Analytics, Amazon Fashion Job in Amazon

DESCRIPTION

Amazon Fashion, India is looking for talented Sr. Business Intelligence Engineer (Sr. BIE), who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business. Amazon Fashion is a strategic category for Amazon India to grow fast and become the largest online/offline fashion store in India. As a Sr. BIE you will use broad technical skills to build analytics and reporting capabilities that enable the optimization of fashion business.

The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, and data engineering or software development skills. They will enjoy collaborating with program managers, category leaders, product managers, marketing managers, data engineers and ML team to drive decision making. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoying working across functions and organizations to solve problems and get results. They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating business insights. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply technical expertise to rapidly prototype and deliver solutions. The scale is massive; as is the opportunity!

In this role, you will be asked to:
Perform simultaneous large, complex, and business critical analyses/abstract problems that serve major parts of the business.
Discovering insights using statistics, data mining, and visualization techniques
Develop scalable models and tools that speed up both decision making and accuracy for the team.
Be a key influencer in strategy and contribute significantly to overall planning.
Navigate discordant views, find the best way forward, and influence stakeholders around a solution.
Defining, developing, and maintaining critical business reports reviewed at a defined cadence.
Helping to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams
Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations
Collaborating with data engineering team to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models
Understanding the broad range of Amazons data resources, which to use, how, and when
Collaborating effectively with internal end-users, cross-functional teams to solve problems and implement new solutions.

Location: This position is based out of Bangalore, India.

BASIC QUALIFICATIONS

- Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline.
- 5+ years of relevant experience as business intelligence lead/engineer in the data/BI space
- Proven analytical and quantitative skills (including proficiency with Data tools such as Excel and Access)
- Advanced knowledge of SQL, shell scripting, Python/R
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
- Proven ability to deliver automated solutions for customer-facing data science problems
- Experience working directly with business stakeholders to translate between data and business needs to come up with critical insight
- Strong understanding of BI technologies and their application including database warehousing and dashboarding
- Experience on at least one data visualization tools (e.g. OBIEE, Tableau, QlikView)

PREFERRED QUALIFICATIONS

- Master's degree in Math/Statistics/Engineering or other equivalent quantitative discipline.
- 8+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent.
- Ability to work cross-functionally, building and maintaining trust with internal stakeholders.
- Strong understanding of BI technologies and their application including database warehousing and dashboarding
- Experience communicating with senior management (Senior leaders/decision makers) as well as with colleagues from computer science, operations research, and business backgrounds.
- Proven experience in identifying opportunities for business improvement, and defining and measuring the success of those initiatives.
- Experience with e-commerce, retail, advertising, or media would be an advantage