Job
Description
. Position: Supply Chain Sr Analyst Location: Bangalore This role requires to work independently and influence to challenge existing strategies, processes, and execution elements to ensure all functional areas adhere to the process. This position is part of the Global planning and Fulfillment team and will be responsible for the end-to-end planning and system solutions. Responsibilities Leverage data and business principles to drive large scale Supply Chain programs. Define and develop the program for metrics creation, data collection, modeling, and the operational performance of Global planning and fulfillment operations. Collaborate with cross-functional data and business teams to define problem statements, access and manipulate data, build analytical models, explain data-gathering requirements, deliver analytics insights, and make recommendations. Lead the definition and execution of scalable solutions to support core internal customer needs and to improve process efficiencies Define, compute, track, and continuously validate business metrics with descriptive and predictive analytics. Leverage tools like Python, SQL, R, and Tableau for analytics. Identify gaps in the operational processes, build analytical models for finding insights and helping in driving decisions across different org leadership. Provide mentorship to other members of the team on development of best practices for design and implementation of cutting-edge analytics insights. Lead and support various ad hoc projects, as needed, in support of Supply chain strategy. Minimum Qualifications Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 5+ years of hands-on experience analyzing and interpreting data, developing metrics, drawing conclusions, recommending actions, and reporting results across stakeholders 7+ years of experience in advanced SQL queries development 7+ years of experience with scripting in Python, R or similar languages 7+ years of experience of working with visualization tools such as Tableau, Power BI, or similar 7+ years of experience of end-to-end managing and leading many cross-functional projects and cross-functional teams (both internal and external) Thought leader in data analytics who can independently solve ambiguous problems Advanced communication and storytelling experience to influence all organizational levels (engineers, executives and cross functional teams) to drive business decisions Experience in developing data driven analytical models to solve complex business problems Knowledge of statistics (e.g. modeling, experimental design, Hypothesis etc.) Be a self-starter, motivated by an interest for developing the best possible solutions Preferred Qualifications Advanced degree in the above analytical fields Experience in a scripting language or statistical software packages is a plus. Strong data architecture, data modeling, schema design and effective data project management skills. Knowledge of ETL processes and designs. Wherever you are in the world, whether its downtown Sunnyvale or London, Westford or Bengaluru, Juniper is a place that was founded on disruptive thinking - where colleague innovation is not only valued, but expected. We believe that the great task of delivering a new network for the next decade is delivered through the creativity and commitment of our people. The Juniper Way is the commitment to all our colleagues that the culture and company inspire their best work-their lifes work. At Juniper we believe this is more than a job - its an opportunity to help change the world. At Juniper Networks, we are committed to elevating talent by creating a trust-based environment where we can all thrive together. If you think you have what it takes, but do not necessarily check every single box, please consider applying. We d love to speak with you. Juniper is an Equal Opportunity workplace. We do not discriminate in employment decisions on the basis of race, color, religion, gender (including pregnancy), national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, veteran status, or any other applicable legally protected characteristic. All employment decisions are made on the basis of individual qualifications, merit, and business need.
