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Commercial Analyst role with a top notch commodity MNC based in town
Date Posted: Dec 2021
 
  • High proficiency in MS Excel covering V look up, Pivot tables, Formula, Index Match is mandatory.
  • E commerce/Web application management experience will be highly beneficial (but not a must)
  • Has 1 to 3 years of post-grad work experience with some analysis experience.

 

 
 

Our client is a global and renowned commodity MNC based in town.

This is a perm role as a Sales & Commercial Analyst, where you are part of the Sales and Commercial Department.

 

Key functions:

 

  • Delivery of research, numerate analyses and valuation work in relation of Business Intelligence to Financial Results to better inform and influence decisions around how the firm’s goods are sold.

 

  • Working closely with Technology and Business Intelligence department stakeholders to create an analytical sandbox that allows you to blend immutable information from the data warehouse and user-created desktop spreadmarts to execute delivery of routine analysis, ad-hoc research – to better inform the wider Sales and Commercial team of sales performance and its associated business intelligence, with the objective of achieving more accurate sales forecasting and sell-out rates.

 

  • Assist / assume responsibility of the creation of a pricing model for third-party rough diamond purchases with the express aim of improving assortment, value creation and ultimately higher achieved prices/margins for the resultant blended goods.

 

  • Responsible for the development, maintenance and improvement of analytical tools, models and databases for the delivery of segmented market analysis.

 

  • Test and triangulate market data and resolves contradictions including through formulating hypotheses for the in-market teams and/or market research instruments to test.

 

  • Delivers agreed analysis packs in support of decision making at decision making committees.

 

  • Incorporate Data Mining function into daily Business Intelligence reporting or develop relevant model to test hypotheses on new intelligence.

 

  • Investigate the use of AI tools for market insights and computer-assisted hypo-testing for key decisions.

 

  • Assist in the development or maintenance/keeping up to date of digital applications and tools in our Digital Platform (primarily Viewings) and its associated data input/output to be in line with data warehouse upload and integrity requirements.

 

Skills & Personalities/Experience/Qualifications

 

  • Degree in Commerce, Economics, Business, or similar disciplines with a focus on data analytics and insights, with around 1 to 3 years of relevant working experience.
  • Professional qualification (ACA, CIMA, ACCA, CFA) or eligibility for above qualifications would be an advantage.
  • High proficiency in MS Excel covering V look up, Pivot tables, Formula, Index Match, creating links between excel spreadsheets etc is mandatory.
  • Powerpoint is essential
  • E commerce/Web application management experience will be highly beneficial (but not a must)
  • Business Intelligence & Visualization tools such as Tableau, Microstrategy, Salesforce etc Macro-writing / web-scripting / data-mining solutions will be useful not a must
  • Experience in using quantitative techniques and concepts such as Cost-Benefit, Linear Regression, Supply-demand curves etc is useful but not a must.
  • Can-do attitude and strong problem-solving ability
  • Disciplined and able to work independently
  • Able to prioritise and work effectively to meet tight deadlines
  • Quick to gain familiarity and mastery with new and complex topics
  • Has strong communication skills and operate well in a global work environment
 

To apply, pl send your cv in word doc including details on your current salary, expected salary and notice period. You can email to resume@cap-cg.com, or click the below “Apply for this Job” button.

We regret to inform that only shortlisted candidates will be notified.

Posted by:

CAP Consulting (EA license: 14C7175)
Caroline Poh (EA Registration: R1105649)

 
 
 
     
     
     
     
     
 
     
       
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