Vivo Energy Job Vacancy For Data and Analytics Manager



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Vivo Energy Job Vacancy For Data and Analytics Manager





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The Data and Analytics Manager (“DNA Mgr”) is a critical role that supports the Managing Director through insight with data and analytics. the role will be seeking for innovative opportunities to accelerate value and increase the bottom line profit, by identifying and enabling answers to complex business questions

Principal Accountabilities: 

  • Drives the critical and commercial thinking around where analytics can have the most value in the business, concentrating on maximizing return on investment.
  • Evangelist and flag-carrier for Data and Analytics, leads data and analytics transformation across the company, especially monetization of data.
  • Acts as an “interpreter” between business leaders and technical data and analytics specialists.

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  • Tracks KPIs to measure performance and success of data and analytics initiatives in the company.
  • Communicates and champions results and business impacts of insights initiatives to stakeholders.
  • Able to challenge the business constructively and supports the MD and CLT in strategic choices through a mix of business acumen and quantitative analysis.
  • Local guardian of VE-wide data and analytics methods & tools, works with the Central Data and Analytics function to drive local implementation of the DNA programme and owns the engagement model in the company.
  • Leads the local Data and Analytics team; recruits, trains, develops and manages data analyst(s).
  • Provides guidance to the team in the development, testing and presentation of hypotheses-driven analysis.
  • Identifies and recommends new ways to drive efficiency by streamlining business processes.
  • Advises Central team for the design and delivery of reports and insights that analyse businesses, functions, operations and performance metrics.
  • Ensures accuracy of data and analytics deliverables in compliance with data policies and processes developed centrally.
  • Functional lead for data governance in the company, to support compliance with quality standards and regulatory requirements

Job Knowledge, Skills & Experiences:

Essential:

  • Bachelor’s Degree in a quantitative field (e.g. Business, Mathematics, Physics, Computer Science, Engineering). Postgraduate qualifications an advantage, but not compulsory.
  • 7-8 years’ professional experience, including 1-year minimum in a position of monitoring, managing, manipulating and drawing insights from data, and at least 3 years’ experience leading a team at management level.
  • Demonstrable experience in formulating and solving business problems using mathematical/statistical constructs in order to derive insight.
  •  Working knowledge of data disciplines: data quality, data governance, data protection, data architecture, data mapping, data engineering, data science, data exploitation and data visualization.
  • Working knowledge of analytics disciplines: descriptive, diagnostic, predictive and prescriptive analytics.
  • Familiarity with analytics techniques, e.g. Regression Analysis, Time-series, Monte Carlo modelling, Clustering etc.
  • Working knowledge of SAP S4/Hana.
  • Proven capability to translate analysis into strategic recommendations with a sound understanding of strategy.
  • Strong customer focus and business skills, self-starter and results driven with the drive and persistency to perform, even at times of great change and under significant pressure.
  • Very good communication and presentation skills.
  • Very good stakeholder management skills; ability to challenge tactfully in discussion without alienating.
  • Working knowledge of data visualisation tools: e.g. Tableau, Alteryx.

Desirable:

  • Solid business acumen in at least one of: energy, retail, FMCG, supply and distribution.
  • Understanding of robotic process automation, machine learning and artificial intelligence.
  • Experience in solving business problems using at least one of the following: Python, R, SQL, NoSQL, SAS, SPSS, Java, NLP, Tensorflow and MATLAB.
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