Data Quality Lead

Hirdetés feladója: Career Oppurtinities
Munkavégzés helye: Budapest XIII. kerület (Pest megye)
Jelentkezési határidő: 2022. január 28.
Várható kezdés: 2022. január 31.
Rövid bemutatkozás

We are a global energy business, involved in every aspect of the complex energy system that drives our world.

We operate in more than 70 countries worldwide. We find and produce oil and gas on land and offshore and we move energy around the globe. We manufacture and market fuels and raw materials used in thousands of everyday products, from mobile phones to food packaging.

Elvárások a jelölttel szemben

  • 5+ years of experience in data quality/governance roles, in creating dashboards & workflows (powerBI Qlikview etc.)
  • Crafting analytics and insight in a DQ setting (powerBI)
  • Profiling and analysis skills (SAP Info Steward, Informatica)
  • Solid grasp of data change methods incl. catalogues, glossaries and models
  • Persuading, influencing and communication at a senior level
  • Experience across both operational and analytics / science settings
  • Proficiency in English

Szükséges nyelvismeretek

  • Angol - Felsőfok, szóban és írásban

Feladatok

Dashboarding & Workflow:

  • Build and maintain effective analytics and escalation mechanisms that detect poor data and drive resolution
  • Design, build and deploy data quality dashboards and drive self-service
  • Determine escalation paths and construct a workflow
  • Collaborate with IT & analytics teams to drive innovation (AI, ML, cognitive science etc.)

DQ Improvement Plans:

  • Create, embed, and drive business ownership of DQ improvement plans
  • Build data quality improvement plans
  • Set targets for data improvements/maturity. Monitors and intervenes when sufficient progress is not being made
  • Support initiatives that are driving data clean-up of the existing data landscape

Data Analysis:

  • Own and execute quality assessments to aid improvements to operational process and BAU initiatives
  • Analyze and profile data to expose patterns indicating data quality issues
  • Drive root cause analysis to expose quality issues in data create and analytics consumption
  • Work with business process specialists to understand process chains and process steps (CRUD) to find opportunities to drive and measure data at the point of creation
  • Expose financial impacts of data issues

Data Governance:

  • Work with data governance teams to establish data quality criteria and standards
  • Support data owners and data governance activities with quality metrics and the health of data
  • Support the Head of Data in running Data Governance Forums including the provisioning of a proven fact-base for data quality performance

Project Delivery:

  • Oversee, direct colleagues and participate in delivery of data quality activities including profiling, establishing conversion criteria and resolving technical and business DQ issues

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