Amazon Jobs

Description

Veeqo (veeqo.com) — a startup which was acquired by Amazon in 2021 — is Amazon’s recommended multichannel inventory and shipping solution for Sellers. Our vision is to become the hub for ecommerce sellers, for both their on-Amazon and off-Amazon business. We help sellers manage fulfillment operations across all their online stores, and ship orders to customers at the lowest cost and in the fastest possible time.

Business Analysts are responsible for converting data into actionable business insights. They are analysis experts who leverage a variety of data platforms and analytical tools to provide timely, meaningful, and consumable information. They build deep contextual and domain knowledge. They ensure data quality and build scalable tools. They communicate findings with the most effective and influential methods.

Amazon is seeking an exemplary Senior Business Analyst with broad technical skills to develop data visualizations and build automation solutions that drive business decision making and process improvement. The ideal candidate will draw upon advanced analytical, problem solving skills, and passion for delivering business insights and analytics. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. The complexity of research and skills for a Senior Business Analyst is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical modeling and intuitive data visualization. This role will directly be responsible for maintaining front end code using Python, SQL, HTML, Java, and R, or other similar coding languages. Proficiency in the aforementioned languages is not required, but an ability to be a quick learner and gain proficiency is required for a successfully candidate. This role will have high level visibility due to the nature of the toolsets being maintained, built, and the network impact of analysis conducted. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.

Key job responsibilities

• Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance.

• Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems.

• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions.

• Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies.

• Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes.

• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities.

• Supporting cross-functional teams on the day-to-day execution of the existent program implementation.

• Generating complex queries to dive deep on process issues

• Innovating to improve customer experience

We are open to hiring candidates to work out of one of the following locations:

London, GBR | Swansea, GBR

Basic Qualifications

• Bachelor's degree in Business Administration, Business Analytics, Finance, or a related quantitative field

• 5+ years in an analytical role with experience working in or collaborating with product, marketing, finance and sales teams

• Advanced SQL knowledge (window functions, CTE, etc.)

• Experience with data visualization and business intelligence tools such as Metabase, Tableau, Quicksight, etc.

• Experience using Excel for data analysis and modelling

• Strong attention to detail and a commitment to delivering high-quality work

• Experience in project management and juggling multiple competing priorities

• Excellent communication and organizational skills

Preferred Qualifications

• Communicating analytical insights and results with senior stakeholders to make data-driven decisions

• Knowledge of statistics, including hypothesis testing, product experimentation, regressions, experimentation logic, and biases

• Experience at a high-growth product-led B2B SaaS company

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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