The OpsTech Solutions(OTS) - DataTech is looking for a technically astute analytical and passionate teammate to join our team and deliver on behalf of our customers. This position will be responsible for realizing business value from the use of statistical methods to gather, review, and interpret data to solve real-business problems. The candidate will collaborate with cross functional teams and partner with data leaders to drive and deliver business value for OTS across the globe. The candidate will have a primary focus in the EMEA/APAC/INIDA regions leading team members across the globe. The candidate will be responsible for driving customer metrics and partnering with internal and cross-functional teams of BIEs partnering with the central engineering team and business stakeholders and conducting deep dive analyses to solve complex business problems and to build robust/automated BIE solutions. The candidate will also be responsible for driving analytical strategy for their respective function and enable data driven decision making. This position requires strong managerial skills, statistical knowledge, analytical abilities, and good knowledge of business intelligence solutions. The candidate will also need to be a good stakeholder manager as they will have to work closely with senior stakeholders/leaders. The candidate should be comfortable with ambiguity, capable of working in a fast-paced environment, continuously improving technical skills to meet business needs, possess strong attention to detail and be able to collaborate with customers to understand and transform business problems into requirements and deliverables. Key job responsibilities • Supporting OTS data strategy as a Product data strategy and building solutions tailored for our customers needs through data. • Build standardized reporting processes, dashboards and automate data pipelines where possible. • Define and utilize statistical methods to solve OTS business and industry specific problems • Research problems and identify the data required to answer specific questions, identifying trends and inter-relations in data • Plans and documents computer data file structure; develops, programs, manages, and maintains complex statistical databases; performs or supervises data entry • Compare provided statistical information to identify patterns, relationships and problems • Prepare detailed reports for management and other departments by analyzing and interpreting data, communicating findings to OTS business partners and stakeholders • Collaborate with partner analytical teams and guide how to properly develop data assets. • Help influence OTS Wide Data strategy and business partners. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply About the team DataTech is a centralized organization with OpsTech Solutions under the Fulfillment Technology & Robotics org. Basic Qualifications - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space Preferred Qualifications - Experience managing, analyzing and communicating results to senior leadership - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of information retrieval, data science, machine learning and data mining 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. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visithttps://www.amazon.jobs/content/en/how-we-hire/accommodations.
