We are a data science and analytics consulting company that partners with some of the leading
global retail, pharmaceutical, telecom and travel companies. We deliver business impact by enabling
last mile adoption of insights by uniting our strengths in business analytics, data science and
software engineering. We help our clients deliver on the artificial intelligence imperative, in a
practical and demystified way.
Headquartered in the San Francisco Bay Area, we partner with clients in US, Canada, Europe,
Australia and SE Asia. We have also recently opened a Center of Excellence in Chicago to serve our
growing base of Fortune 500 clients.
Job Description
Requirement Manager – Supply Chain Department Analytics Delivery
Experience 7-10 Years Job Type Permanent
Job Location Whitefield, Bengaluru Company Careersite https://www.tredence.com
Role: Manager – Supply Chain
Job Description:
As a Manager in Supply Chain Practice of Tredence, you will be
Engaging with Supply Chain Leadership of Tredence’s clients to –
o Define the need for Analytics led solutions and design the road map for client
o Chart out potential annual impact for the client from this initiative
Responsible for successfully articulating reasonably complex analytical and/or technical concepts to clients in simple ways
Working closely with delivery teams, both onsite and offshore, to ensure high quality deliverables with sound logic and robust frameworks
Engaging with technology teams from Tredence and Clients to create last mile connectivity of the solutions
Roles & Responsibilities: –
Undertake full ownership of driving a client assignment
Engage with clients and business partners to understand their requirement, identify their challenges
o Appreciate project brief
o Translate business problems into analytical brief
o Create solution framework and identify hypothesis for testing
o Work with team members to test these hypothesis
o Story-board relevant insights
o Create crisp and impactful presentations
o Drive last mile actions
Lead and manage independently the onsite-offshore relation, at the same time adding value to the client
Provide clear business context and deliver actionable insights and recommendations, by designing analytical solutions and frameworks, in collaboration with the offshore team in India
Put together a solution architecture that is scalable, reusable, efficient and effective
Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization Build and grow the organization through pre-sales, operations and training enablement
Actively participate in business development and account mining through proof of concepts and point of views
Develop and mentor team members
Knowledge and Experience:
S/he possesses an in-depth understanding of 3 or more functions in Supply chain (e.g. procurement, transportation etc.) – capable of holding an independent opinion plus holding a conversation with a Client from similar function
S/he possesses a wide exposure to functions across the supply chain: Procurement / Inbound Logistics / Production / Inventory and Demand Planning / Outbound Logistics / Retailing
Working experience in retail, e-commerce, merchandising will be an added advantage
S/he has in the past built repeatable tools / data-models to solve specific business problems–
o Mandatorily, on Excel
o Preferably on R/Python, SQL, Tableau etc.
S/he must have hand-on experience of having worked on projects (either as a consultant or with in a company) that needed them to –
o Create data-driven, analytics-based solutions, for e.g., automation of insights, decision tools etc.
o Work with business teams that implemented process re- engineering driven by data analytics / insights
S/he must have a solution creation mindset. Ability to design and enhance scalable algorithmic solutions to address the business need is a must have
S/he must have a working experience on analytical tools such as Tableau, PowerBI, and similar tools
S/he must have knowledge of statistical techniques such as Regression, Clustering, Time Series Forecasting, etc.
Demonstrated ability in thought leadership through Articles/White Papers/Interviews etc
Summary of Position: You will join a dynamically developing Data Strategy, Engineering and Innovation team, a part of global Digital,...
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