Assistant Manager - Data Analytics

Key Skills

Microsoft-Excel, Java Programming, Analytical and Problem solving, Finance, Python Programming, Database, SQL, PowerBI, Data Analytics, R Programming, Data Modelling

Job Description

Knowledge Centre empowers global procurement community across Maersk brands with insights on internal data (Data Analytics) and external market variables (Market Research) to drive required business objectives. Diverse requirements across geographies in a fast paced and dynamic business environment makes the role within this team challenging and demand a knack for structuring ambiguity. Product upgrades, new product development, digitalization of offerings and process automation are central to our functioning.

We Offer:

• Value driven ecosystem and ways of working
• A career in a Fortune 500 company on a growth path that brings with it new challenges and a constant need for ideas, knowledge, and talent to overcome them – also providing tremendous opportunity to test your ambition and problem-solving skills
• Opportunity to work on projects and stakeholders spread globally
• An ecosystem of in-house development of solutions allowing chance to experiment, test, correct and commission
• Formal onboarding and guided on-the-job learning followed by outright ownership of responsibilities and processes as Maersk promotes steep learning curve across functions, practices, and domains
• A talent management process that duly complement on-the-job opportunities provided

At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to gender, age, nationality, race, sexual orientation, disability, or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.

Profile of candidate we are looking for:

• Bachelor’s or Master’s degree with 4-6 years of experience
• Domain knowledge of at least one of the following business functions – Procurement/ Supply Chain/ Finance/ Sales/ Customer Service
• Procurement or Logistics professional interested in Data Analytics OR, Data Analytics professional interested in Logistics or Procurement or in working with a giant in both logistics and procurement.
• Data Skills: Advanced Analysis and Modelling on Excel incl. Macros, Solver, etc., Visualization on Power BI or similar tools And/ Or Procurement skills: Knowledge of categories pertaining to ocean or landside logistics, creation of cost and optimization models, FACT based modelling
• Must know: MS Excel, Good to know: Python or R
• Ability to translate business requirement into data use cases, Problem solving skills, experience of working in an environment with sharp analytical requirements
• Open to work with ambiguities, communicate difficulties and derive possible solutions
• Stakeholder management and requirement gathering skills, ability to join the dots between distinct conversations to visualize larger picture and develop a wholesome solution
• Proven track record of taking initiatives and delivering process or product enhancement
• Good communication and pleasant interpersonal skills are essential to succeed in this role

Key Responsibilities:

Way of working:

• Strong ownership of both process and results, timeliness, and communication.
• Teamwork: Learn from, share with, and guide fellow team members on technical and business know-how and developments.

Data Analytics – Operations:

• Identify key negotiation levers using spreadsheet based (MS Excel) analysis of procurement data such as spend, rate repositories, contracts, supplier ratings and tenders.
• Dashboarding and visualization on Power BI
• Creating and refining models using advanced excel functions for procurement specific needs like scenario analysis, should cost, total cost of ownership, forecasting, etc.
• Conscious build-in of quality, standardization and intuitiveness in outputs so that they can be scaled up and replicated.

Capability building on Tools and Predictive Analytics:

• Give shape to use-cases existing within organization that demand predictive analytics capabilities
• Qualify external databases to solve problems/ create models influenced by both internal and external variables
• Initially participate in and eventually drive team wide adoption of Python as a tool for large databases.

Product Development and upgrades:

• Drive periodic upgrades in quality and speed of delivering output and insights – through planned automation led ease of access and improvement in quality of data inputs.
• Identify opportunities to improve the data offerings for new category verticals within procurement.

Stakeholder Management:

• Collaborate with stakeholders to translate evolving business requirement into data-based solutions
• Facilitate alignment and bridge different requirements to develop and scale-up new offerings