- Supply Chain Analytics team is looking for talented Business Intelligence Engineer (BIE) Manager, who enjoys the challenge of diving into complex business problems, providing data driven insights, and making recommendations that directly impact business.

- As a BIE Manager, you will use broad technical skills to build analytic and reporting capabilities that enable the optimization of our fulfillment network. The ideal candidate is a highly analytical, critical thinker with advanced problem solving, data mining, and data engineering or software development skills.

- They will enjoy working with research scientists, program managers, product managers, data engineers, and software developers to drive decisions across the Company's retail and operations teams. Successful members of this team are customer obsessed, flexible, and collaborative team players who enjoy working across functions and organizations to solve problems and get results.

- They thrive in ambiguity, ask hard questions, and build scalable solutions that provide critical business insights necessary to influence decision making across organizations. They find timely answers buried in large data sets and complex systems, identify root causes, and are obsessed with generating business insights. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply technical and engineering expertise to rapidly prototype and deliver solutions. The scale is massive; as is the opportunity.

- Business Intelligence Engineer Manager is a leader on the team and others look to them for advice on the analytical and business issues they are facing. They are right a lot, work very efficiently, and routinely deliver results on time. They have a global view of the analytical solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly. The Manager will be tasked to:

- Perform simultaneous large, complex, and business-critical analyses that serve major parts of the business.

- Develop scalable models and tools that speed up both decision making and accuracy for the team.

- Be a key influencer in strategy and contribute significantly to team planning.

- Show good judgment making technical trade-offs between the team's short term and long term business needs.

- Navigate discordant views, find the best way forward, and influence stakeholders around a solution.

In this role, responsibilities will include :

- Defining, developing, and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

- Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations

- Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning and econometric models

- Mining and manipulating data from database tables, simulation results, and log files

- Identifying data needs and driving data quality improvement projects

- Understanding the broad range of companies's data resources, which to use, how, and when

- Thought leadership on data mining and analysis

- Modeling complex/abstract problems and discovering insights using statistics, data mining, and visualization techniques

- Helping to automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams

- Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions

Basic Qualifications :

- Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline.

- 10+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent.

- Advanced knowledge of SQL, shell scripting, Python/R, and MS excel.

- Strong active listener with solid written and verbal communication skills.

- Proven ability to work cross-functionally and delivering automated solutions for customer-facing data science problems.

- Ability to work cross-functionally, building and maintaining trust with internal stakeholders.

- Strong understanding of BI technologies and their application including database warehousing and dash-boarding

- Experience on at least one data visualization tools (e.g. OBIEE, Tableau, QlikView)

- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams

Preferred Qualifications :

- Master's degree in Math/Statistics/Engineering or another equivalent quantitative discipline.

- 8+ years in relevant experience as data scientist, software engineer, business intelligence engineer, or equivalent.

- Advanced knowledge of SQL, shell scripting, Python/R, and MS excel.

- Strong active listener with solid written and verbal communication skills.

- Proven ability to work cross-functionally and delivering automated solutions for customer-facing data science problems.

- Familiarity with supply chain management concepts - planning, forecasting, optimization, and logistics - gained through work experience or graduate-level education

- Strong understanding of BI technologies and their application including database warehousing and dashboarding

- Experience communicating with senior management (VP level decision-makers) as well as with colleagues from computer science, operations research, and business backgrounds

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