Team Lead BI Job Vacancy in Shell Chennai, Tamil Nadu – Updated today

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Company Name : Shell
Location : Chennai, Tamil Nadu
Position :

Job Description : The Role
General Position Definition
Finance Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision making.
This position is part of Process Analytics team leading a team of business analysts supporting process mining projects for different businesses within Shell. The individual will join a growing global data science organization spanning both on/offshore.
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.
The ideal candidate has strong background in business analytics, 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.
Exposure to process mining tools like Celonis/UI Path/PAFNow is preferred
Support the Data Science Manager in design & execution of projects and play proactive role in data model enhancements for Celonis Execution Management Systems (EMS) platform and building the opportunities pipeline.
Purpose
Lead the execution and management of Celonis Execution Management Systems (EMS) with focus on Extraction, Transformation, Data Modelling, Action Flows, Global reporting.
Design and effectively coordinate development of ETL/data warehouse best practices needed to support new and evolving sources of data
Establish methodology to gather, qualify, prioritize, and facilitate data model requirements; Design and deliver process models to ensure seamless analytics delivery
Articulate the insights from the analysis in business-friendly language and explain the workings of the analysis outcomes for business adoption
Provide support to the Data Science Manager in managing the portfolio
Skills
Reporting and Technology Skills
Deep expertise in analytics tools and technologies including (but not limited to):
Data Engineering: Scripting Tools like SQL/Python
SAP Data Models and SAP Table Structures (across SAP Modules).
Data Analysis & reporting: Data collection, Data cleaning, Data Quality Analysis, Exploratory data analysis, Reporting Automation
Storytelling: Data visualization, Data Storytelling, Dashboard maintenance
Strong experience in BI tools and technologies (including, but not limited to)
Spotfire, Tableau, Qlikview
Awareness of Agile / Scrum ways of working
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
Identify the right modeling approach(es) for given scenario and articulate why the approach fits
Design data warehouse flows and schemas and reporting models in the semantic layer
Assess data availability and reporting/modelling feasibility
Review interpretation of analysis results
Experience in Celonis (On-Prem/EMS), UI Path, PAFNow preferred
Proficiency Level: Mastery
Industry / Functional Expertise
Provide deep business expertise preferably Oil & Gas – Upstream or Downstream businesses. (If these are not available, willing to consider other industries that are similar or related – manufacturing, mining, power generation, etc.)
functional expertise in any one or more of the following industries / functional areas
Functional Analytics: Order-to-cash, Procure-to-Pay, Record-to-Report, Tax (Direct & Indirect), Financial Risk and Assurance (controls and governance), Master Data Management
Manufacturing / Supply Chain: Maintenance Scheduling & Optimization, Inventory optimization, Spend Analytics, Vendor Performance, Logistics optimization, Contract Compliance
Proficiency Level: Skill-to-Mastery
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
Deliver actionable insights that directly address challenges / opportunities
Guide articulation of business insights and recommendations based on understanding of business / function and respective stakeholders
Understanding of business governance and control structures & selecting the right analytical approaches which are consistent with businesses control/governance framework
Understanding business KPI’s, frameworks and drivers for performance
Proficiency Level: Skill
Project 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)
Creating project management plan, running status update meetings, coordinating deliverables and timelines, and managing risks to project delivery
Manage different moving parts – business stakeholders, IT, Analytics Resources, Data Experts, SMEs, etc. for the successful execution of the projects (executing multiple projects at a time will be considered a plus)
Solves most problems independently and articulate issues across functions and businesses, ensure collaboration to bring about solutions
Proficiency Level: Mastery
Special Challenges
Deliver practical working solutions from a new and developing conceptual area.
Coach and mentor BI Analyst and Sr BI Analysts team members
Virtual working with network of colleagues located throughout the globe.
Dimensions
Execute analytics projects across businesses or function
Experience
8+ years in a global role or in various locations
Bachelors / Master’s degrees in mathematics, Statistics, Engineering, Finance, or related areas
Track record of successfully delivering high number of analytics projects in an industry / function (20-30 projects) both individually and through teams
Track record of applying data analysis to address business opportunities
Track record of managing teams (4 people direct management)
Strong interpersonal communication skills and influencing skills
Deep understanding of industry / function and associated processes, data, and systems
A self-starter, able to work on initiative with a strong desire to learn
Exposure to process mining platforms like Celonis, UI Path, PAFNow is preferred

Disclaimer
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

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