Lead BI Analyst



Multiple locations
Posted on Tuesday, June 11, 2024

Job Description – Lead BI Analyst

Lead BI Analyst

Applies techniques such as business intelligence (BI), reporting and data modelling, analytical techniques and big data processing to provide the business with relevant information to increase revenues, improve operational efficiency, optimise customer programs, respond quickly to emerging market trends and gain a competitive edge in the market.

Provides operational and functional support to the business on creating, storing, managing and maintaining information in all its forms, including the ability to incorporate policies and procedures for centrally managing and sharing information among different individuals, organisations and information systems throughout the information life cycle.

General Position Definition

The Commercial Data Science (CDS) team is a community of experts who work closely with business stakeholders within Shell and provide analytical solutions with their domain and technical expertise. You will be part of the Digital Process Twin portfolio to drive vision of “Empower Process Transformation through Digital Process Twins”.

As Team lead BI, you will work on some of the latest data science tech-stack to solve complex business problems and demonstrate significant business value for Shell. You will be leading a group of business analysts/data scientist to deploy analytical solutions through Process Mining / Digital Process Twin capability; to drive operational efficiency and thereby increase profitability of the organization.

Incumbent is responsible for leading and executing data analysis projects in a business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for Shell, manage a team of BI Analysts (up to 5) and working across a range of technologies and tools.

Has strong background in business analytics, data modelling, storytelling, quantitative skills, brings domain expertise, has applied those skills in solving real world problems across different businesses / functions and has managed small teams in delivering insights.

Perform a role that involves a combination of hands-on solutioning, stakeholder engagement and team management.

Professional Qualifications & Skills:

Educational Qualification:

  • Bachelors / Masters/ Phd in Mathematics, Statistics, Economics, Engineering, or related areas
  • Minimum 8 years of experience of which min 4years in Data analytics/Business intelligence/data engineering with 2 years of people management experience.

Data Modelling/Data Engineering Skills:

  • Ability to understand and translate business/process data from various data sources such as SAP, Salesforce, HANA, Service Now, etc. to build business/process data model to deliver analytics solution.
  • Should be strong at understanding data architecture or frameworks and effectively coordinate development of ETL/data warehouse best practices needed to support new and evolving sources of data used in reporting and process analytics.
  • Strong experience in topics related to Data Governance, Data Optimization and Data Architecture.
  • Hands-on experience in Cloud platforms like Azure, AWS is needed.
  • Experience in Celonis (On-Prem/EMS), UI Path, Signavio preferred.

Reporting and Technology Skills

Deep expertise in analytics tools and technologies including (but not limited to):

  • Data Engineering: Scripting Tools like SQL/Python/Spark/ADF/ADLS
  • Storytelling: Data visualization, Data Storytelling, Dashboard maintenance
  • Strong experience in BI tools and technologies (including, but not limited to) Power BI, Spotfire, Tableau, Qlikview

Stakeholder Management Skills

  • Forming close relationships with business stakeholders across businesses / functions to comprehensively understand their areas of operation and apply those in project execution
  • Effective coordination with IT & Data Experts to ensure design & management of data pipelines to support Process Mining
  • Clearly articulate the challenges / opportunities in business / function that can be supported by analytics

Project & People Management

  • Execute end-to-end analytics projects - Project scoping, sourcing data, managing modeling, translating model results into business insights, and helping business partner understand insights and make decisions accordingly (help generate value for organization through data analysis)
  • Strong leadership skills, with clear evidence of people leadership (leading mid-size team) and an ability to challenge status-quo of business operations empathically.
  • Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work.

Key Competencies:

  • Critical thinking
  • Business Partnering
  • Data Modelling/Engineering

Key Behavior trait:

  • Learner Mindset
  • Enterprise Mindset
  • External Focus