Position Snapshot

　　Location: Meycauayan, Bulacan, PH / Rockwell, Makati, PH

　　Company: Nestlé Business Services AOA, Inc.

　　Full-time

　　Position Summary

　　Joining Nestlé means you are joining the largest food and beverage company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future.

　　Our Team in Nestlé Business Services is in charge of delivering world class business support to our colleagues and clients in Nestlé globally. We are committed to deliver with passion, reliability, innovation, discipline, and excellence. Are you ready to join us?

　　A day in the life of...

　　The Business Intelligence Manager (BI Manager) owns the data lake, data warehouses and other infrastructure used in data analytics. The BI Manager also leads the team of Data Engineers, Data Scientists and Sustain Team in the daily activities needed for the analysis, development, testing, implementation and sustain of respective solutions. The BI Manager supports all the developments of projects with scheduling, planning and resource allocation. Conducts feedback process, including peer reviews and portfolio reviews. Fosters a performance culture using individual and team coaching and mentoring to achieve excellence. Creates relationships within the organization for the latest news in advanced analytics and for the latest tools and applications used in data analytics, ETL and data storage and shares the best practice to the team. Makes day-to-day decisions within or for the team and has some authority for personnel actions.

　　Works closely with ADL (Analytics, Data & Integration) team at the global and regional level. Partners with IBS and all the NBS Centers globally aiming the ambition of becoming a digital knowledge hub.

　　Key Outputs:

　　Is responsible for the upkeep of Data Warehouse, Data Lake, Dashboards and Analytical Tools

　　•Ensures data lake is running, data warehouse is up and Azure/other platforms used by data visualization is up

　　• Contributes to value delivery plans to meet the objectives, typically in sync with product management, enterprise architecture and business analyst

　　• Oversees and facilitates the research, evaluation, and selection of technology and product standards, as well as the design of standard configuration

　　• Drives innovation by leveraging new technologies and approaches to renovate, extend, and transform the existing core technology base

　　• Ensures proper documentation is followed

　　Supports the team with back-end data and databases concerns within TAT

　　Leads the center in advanced analytics use cases

　　• Attends/leads discovery workshops for analytics

　　• Proposes use cases and proof of concepts for analytical modeling

　　• Delivers analytical modeling projects for center, zone, markets

　　Responsible for Managing Resources and Data Engineering/Science Portfolio

　　• Partners with Analytics Partners, Data Visualization, BPA, Center Key Stakeholders, Process Optimizers, Digital Acceleration, FRMs and Business Development Team to re-evaluate process automation and analytics opportunities

　　• Managing all the activities of the Data Integrity Teamand set goals for each team member to ensure timely project delivery

　　• Delegating tasks and work schedules

　　• Consults with Product Manager to define the minimum viable product (MVP) that satisfies the business need

　　• Hire and train new developers and ensures the team receives refresher trainings

　　• Provide guidance to the team and ensure they adhere to development standards

　　• Ensures proper documentation of each project until sustain phase

　　• Actively seek to resolve any concerns while adhering to the company policy and standards of behavior

　　• Assess and finalize options for solution and providing insight as to the best alternative that may include process improvement(s) (includes licenses recommendations, platforms, design, etc)

　　Leadership

　　• Develop high performing teams and in alignment with the People Process Cycle and the 5 people practices:

　　• Create the context: create alignment, lead by example, promote an open culture and our values in a sustainable way (Sustain the change)

　　• Select talent: recruit and onboard people and plan capabilities for the future

　　• Develop people: coach, define effective (70-20-10) development plan and assess talent, building the right capabilities for the team and for the organization long-term success

　　• Drive performance: empower and enable people, give and receive feedback, evaluate and differentiate performance, constantly challenge the set-up organization to ensure its results and effectiveness

　　• Recognize achievements: give and receive recognition, reward performance

　　Ensure the process is designed to be compliant with Nestle Compliance Standards and Framework

　　Performs other tasks that can be assigned in relation to agreed developmental plan or that can be assigned from time to time.

　　• Working in a corporate and multi-cultural setting

　　• Working in a high volume and analytical tasks

　　• Achieving targets through other people

　　• Succeeding in a team setting

　　• Quick grasp of complicated concepts

　　What will make you successful

　　Minimum of 5 years Data Analytics or related experience

　　Graduates of Physics, Mathematics, Computer Science, and other related fields

　　SQL and Python required

　　Knows the best practice of Data Ingestion, Data Wrangling and ETL (With experience in Azure and Snowflake)

　　Experience in analytical modeling

　　Experience on Power BI