Data Analyst

Ref: ZR_6226_JOB  ·  Posted on 09 June 2021

Introduction

This is an exciting opportunity to join a growing team and a growth area in the client’s next generation service provision. The market opportunity and demand for their services is particularly high and we need experienced team members who will grow and deliver with us.

You will be a key part of a diverse and strategically important team that prides itself to provide innovative solutions in high-profile, complex projects on behalf of their clients and to bring inventive new approaches to their services and existing ways of working. Working alongside colleagues from the wider UK firm and across the globe, our client is an environment where you and your career can flourish.

Key responsibilities
  • Developing Process Excellence strategies, roadmaps and business cases
  • Managing product development, proposals and research
  • Managing both advisory and delivery projects, from helping clients with their wider transformation strategies, to supporting the full lifecycle of delivery projects
  • Enabling the delivery of medium and large Process Mining solutions in a business and technology-enabled change environment such as coordinating teams to conduct analysis of business processes (e.g. purchase-to-pay, order-to-cash, record-to-report) on the basis of transactional and non-transactional data from ERP and workflow systems
  • Clearly communicating technical concepts to non-technical client stakeholders and obtain buy-in for further initiatives and change
  • Managing technical and non-technical team members to enable team cohesion and optimal outputs
  • Defining and embedding Process Bionics standards at clients to optimise their business processes
  • Working with stakeholders at all levels including senior stakeholders and across the Client, the company and third parties (including software vendors)
  • Understanding the importance of stakeholder and change management and incorporating it into the implementation of Process Bionics strategies
  • Developing your sales activities and deepening your already strong industry alignment in preparation for more senior positions and future promotions
  • Working effectively in diverse teams within an inclusive team culture where people are recognised for their contribution
Skills & experience
  • Knowledge of new data analysis technologies (e.g. Spark, Cuda, TensorFlow) is an advantage
  • Strong understanding of the Process Mining Framework and experience using either Celonis, Signavio, UiPath Process Mining or any other Process Mining tool
  • Knowledge of ERP systems (SAP R/3, SAP S/4, SAP HANA, Oracle, PeopleSoft) is an advantage
  • Advanced SQL skills (2+ years of Business SQL use or similar query language)
  • Experience working with Amazon Web Services required
  • Experience (1+ years of use) with at least one of the following: R, Python, Scripting
  • Scor Reference Model knowledge preferred
  • Delivered Process Excellence / Process Transformation projects or work streams (or other technology-enabled transformation programmes / projects) with large budgets
  • A proven track record of successfully managing technology teams
  • Managed stakeholders using clear communications and formed strong client relationships
  • Worked within an agile delivery environment; experience/certification in delivering change initiatives in an agile way is a plus
  • Managed junior resources both on a project and day-to-day basis, including the quality assurance of client deliverables
  • Worked effectively within an inclusive team and supported the development of team members, both formally and informally
Additional benefits
  • Holidays, starting at 25 days a year
  • A flexible contributory pension arrangement with matching contributions
  • Life assurance of six times your core salary (up to a maximum of six times the Earnings Cap, in force at date of death)
  • Occupational sick pay
  • Personal accident insurance
  • Mobile phone is not fully funded but you can claim on expenses for business use.
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Permanent Data Analysis Analyst Analytics Stakeholder SQL Model

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