Sr. Business Analyst - Customer Lifecyle

Recruiter
Amazon
Location
Karnataka, India
Salary
Competitive salary
Posted
16 Sep 2020
Closes
23 Sep 2020
Ref
1265832
Job role
Business analyst, CFO
DESCRIPTION

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you. We are looking for customer obsessed, data driven entrepreneurs to join our growing team. Solve some of the hardest problems for our customers. If you want to solve some of the hardest problems and build programs that customers love, Amazon.in might just be the place for you.The Central Events & Deals teams endeavours to make shopping on Amazon.in exciting, relevant and engaging. We drive programs that help Amazon acquire and engage customers at scale.

We require a Business Analyst who will help us make effective decisions based on data from multiple sources, compiling it and triangulating it into a digestible and actionable format.
The Business Analyst will use reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

Main Responsibility includes:
You love working with data and derive stories from it. Those stories will help your stakeholders to answer key business questions. In this highly visible role, you will,

- Create customized segmentation solutions which will inform the insights; create multiple segmentation analyses, each of which involves a different approach, based on the type of data source

- Create scale-able and self-serve approaches for the marketing team that would require a deep understanding of the data and different dashboarding techniques, given the dynamic nature of requests; employ long-term and adhoc optimization techniques involving quality codefor the dashboards to run smoothly and be scale-able

- Be responsible for setting up the analytics infrastructure

- Create and evolve member segmentation and develop primary and secondary insights that can be used to drive product development and optimize ongoing programs, marketing campaigns

- Provide data and analytics to marketing team for campaigns, create bulls-eye reports and provide campaign level metrics to measure efficiency

- Build scale-able and self-service analytical approaches that can be used by the marketing team for analyzing the impact of on-going marketing programs

- Manage ad hoc projects, as well as define and deliver ongoing dashboards, reports & IN first metrics to provide actionable insights to inform marketing strategy

- Review marketing research design, interpret research results data and communicate actionable recommendations across all levels of the organization

- Leverage internal and external resources to support analysis from qualitative and quantitative research

- Support cross-functional teams on day-to-day execution and long-term expansion of the program

The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

BASIC QUALIFICATIONS

3-5 years of relevant experience in a business analyst/data analyst/statistical analysis role.• Ability to deal with ambiguity
- Understanding of data warehousing, data modeling concept and building new DW tables
- Communication (verbal and written) and interpersonal skills and an ability to communicate with both business and technical teams.
- Problem solving skills, project management skills, attention to detail, and organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment

PREFERRED QUALIFICATIONS

3-5 years of relevant experience in a business analyst/data analyst/statistical analysis role.• Ability to deal with ambiguity
- Understanding of data warehousing, data modeling concept and building new DW tables
- Communication (verbal and written) and interpersonal skills and an ability to communicate with both business and technical teams.
- Problem solving skills, project management skills, attention to detail, and organizational skills
- Ability to deal with ambiguity and competing objectives in a fast paced environment

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