Sales Analytics Manager, Ww Sales

Apple | Cupertino

Date listed

6 months ago

Employment Type

Full time

Employees

10001+

Total Funding

$6.2 billion

Glassdoor Rating

4/5 (15000 reviews)

Keywords: oracle python sql

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Are you passionate about using your analytical knowledge to navigate complex challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. As part of this group, you’ll play an integral role in ensuring our day-to-day financial health. You and your team will support Apple’s growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. You’ll also collaborate with Apple teams across the world to develop more effective investment strategies and risk management. Finance is essential to upholding our global commitment to excellence, and it is directly responsible for shaping the company’s future. Join us, and you’ll have a meaningful role in continuing Apple’s legacy of efficiency and success. The Advanced Analytics team is looking for a Data Scientist Manager to develop analytic models and analytics tools to discover key insights in our core data, and create actionable, data-driven insights to guide decision making for key partners.

The ideal candidate should have: Strong analytical skills and be curious with strong out-of-the-box thinking Strong grasp of statistics and proven knowledge and experience building advanced linear regression models and machine learning models Advanced knowledge of data mining and reduction algorithms including decision trees, probability networks, association rules, clustering, factor analysis and principal components analysis Extensive hands-on programming skills in one or more open-source programming languages Solid technical database knowledge (Oracle, Teradata) and experience optimizing SQL queries on large data Outstanding written, verbal, and presentation skills and able to develop and present conclusions effectively based on analysis to senior executives Highly organized, attentive to details, and excellent project management and consultative skills Able to work effectively within a fast-changing environment, tight deadlines, priority changes and multiple constituencies

Skills & requirements

  • Understand and work efficiently across a wide range of data structures and data formats and apply efficient methodologies for data transformation, data manipulation, and data aggregation
  • Provide robust analytical support through data analysis, statistical modeling, machine learning methods, and application of optimization techniques based on industry standard methodologies
  • Evaluate alternate model frameworks and approaches, and implement analytic solutions using SQL, Python, R and other analytics tools
  • Develop frameworks for both regular and ad-hoc analyses and data mining on internal and external data (transactions, marketing and promotions, pricing, etc.) to provide actionable insights at tactical and strategic levels
  • Structure effective experimental designs that can support the evaluation of new initiatives, and develop follow-up measurements to identify success and scalability
  • Manage analytics projects from design and conception to delivery and implementation, and drive analytics initiatives across multiple business functions (sales, operations, finance, etc.)
  • Present analysis results and data-driven recommendations to management teams through interactive dashboards, presentations and keynotes and scenario playbooks

Graduate degree required in Statistics, Econometrics, Mathematics, Operations Research, Industrial Engineering, Business (with quantitative emphasis) or related field