Senior Business Analyst, AWS Startups
- Recruiter
- Amazon UK
- Location
- London, Greater London, United Kingdom, United Kingdom
- Salary
- Competitive salary
- Posted
- 18 Jan 2022
- Closes
- 16 Feb 2022
- Ref
- 1856288
- Approved employers
- Approved employer
- Job role
- Business analyst, CFO
- Sector
- Digital, Retail and FMCG
Description:
Job summary
The AWS Startup Business Analytics (SBA) team is looking for a talented, driven, self-directed Senior Business Analyst to join an organization that is responsible for driving adoption of the AWS platform by startups around the world. This is a unique opportunity, in a fast-growing business, to provide insights to our field teams and leaders who are helping customers build lean, innovative new companies today and turn them into the enterprises of tomorrow. Specifically, you will define, build and scale Business Intelligence and Analytics products that allow us to Get, Grow and Keep startups on AWS. You will work closely with members of Sales, Business Development, Operations and Finance teams to ensure we are sourcing, validating and surfacing internal and external third-party data to make informed business decisions. You will collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses.
You should consider applying if you are passionate about data analysis, extracting and manipulating data (using SQL, Python or advanced Excel features), and producing actionable insights and business intelligence through compelling visualizations and story-telling. This job requires strong communication and project management skills to work with key stakeholders and business partners, understand requirements, and deliver analytics products. You should also be able to demonstrate analytical thinking, business acumen, and a knack for working backwards from the customer's needs in a cross-functional environment. At Amazon, we're all builders, it's always Day 1, and it's imperative to have a keen sense of ownership, drive, and scrappiness to be successful in this role.
Amazon.com has been rated one of the most admired companies in the US, #1 most innovative, and # 1 in Customer Service. Amazon's technology business (AWS) has a history and tradition of leading the world in Web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses within the start-up community, take their computing infrastructures and applications into the cloud.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications:
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or related field
• 5+ years of full-time, professional experience in data analysis
• Experience in SQL and manipulating large data sets in relational and non-relational databases
• Advanced proficiency in Excel (including VBA, Pivot Tables, array functions, Power Pivots, etc.)
• Experience developing guided analyses or data storytelling using visualization tools such as Tableau
• Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights
Preferred Qualifications:
• Advanced degree (Master's or higher) in Computer Science or Information Management Systems
• Advanced proficiency in SQL, ETL, data modeling, and working with "Big Data"
• Computer programming experience in Python, R, Ruby, or Java
• Experience using AWS analytical services (e.g., Redshift, Quicksight, S3, Data Pipeline, EMR, Sagemaker, Kinesis)
• Experience or familiarity with the startup ecosystem, including dynamic of startups, accelerators, venture firms and more
• Excellent problem-solving skills
• Passion for learning new technologies and analytical methodologies related to business intelligence and data analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Job summary
The AWS Startup Business Analytics (SBA) team is looking for a talented, driven, self-directed Senior Business Analyst to join an organization that is responsible for driving adoption of the AWS platform by startups around the world. This is a unique opportunity, in a fast-growing business, to provide insights to our field teams and leaders who are helping customers build lean, innovative new companies today and turn them into the enterprises of tomorrow. Specifically, you will define, build and scale Business Intelligence and Analytics products that allow us to Get, Grow and Keep startups on AWS. You will work closely with members of Sales, Business Development, Operations and Finance teams to ensure we are sourcing, validating and surfacing internal and external third-party data to make informed business decisions. You will collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses.
You should consider applying if you are passionate about data analysis, extracting and manipulating data (using SQL, Python or advanced Excel features), and producing actionable insights and business intelligence through compelling visualizations and story-telling. This job requires strong communication and project management skills to work with key stakeholders and business partners, understand requirements, and deliver analytics products. You should also be able to demonstrate analytical thinking, business acumen, and a knack for working backwards from the customer's needs in a cross-functional environment. At Amazon, we're all builders, it's always Day 1, and it's imperative to have a keen sense of ownership, drive, and scrappiness to be successful in this role.
Amazon.com has been rated one of the most admired companies in the US, #1 most innovative, and # 1 in Customer Service. Amazon's technology business (AWS) has a history and tradition of leading the world in Web-related technologies and services. Now, with Amazon Web Services (AWS) you have the chance to help individuals and businesses within the start-up community, take their computing infrastructures and applications into the cloud.
About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Basic Qualifications:
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or related field
• 5+ years of full-time, professional experience in data analysis
• Experience in SQL and manipulating large data sets in relational and non-relational databases
• Advanced proficiency in Excel (including VBA, Pivot Tables, array functions, Power Pivots, etc.)
• Experience developing guided analyses or data storytelling using visualization tools such as Tableau
• Strong communication (verbal and written) and interpersonal skills to translate ambiguous business requirements into complex analyses and actionable insights
Preferred Qualifications:
• Advanced degree (Master's or higher) in Computer Science or Information Management Systems
• Advanced proficiency in SQL, ETL, data modeling, and working with "Big Data"
• Computer programming experience in Python, R, Ruby, or Java
• Experience using AWS analytical services (e.g., Redshift, Quicksight, S3, Data Pipeline, EMR, Sagemaker, Kinesis)
• Experience or familiarity with the startup ecosystem, including dynamic of startups, accelerators, venture firms and more
• Excellent problem-solving skills
• Passion for learning new technologies and analytical methodologies related to business intelligence and data analysis
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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