Senior Data Quality Analyst - Pune City, India - BP Business Service Centre Asia Sdn Bhd

Description

Job Summary

Job Description:

KEY ACCOUNTABILITIES:

• Data quality framework: we demonstrate deep understanding of data value chain, encompassing Critical Data Element concepts, maintain data quality, DQ critical metrics/Measures and DQ remediation. Perform Data concerns assessments to aid improvements in operational process and BAU initiatives.
• Data Profiling: Work with business (Data Owners/Data Stewards) to profile data to uncover patterns indicating data quality issues and converts them into rules for ongoing monitoring. Business analysis and data quality rules definition: Elicit business requirement through discussions with data owners, business SMEs, program team to detail business DQ rules supporting critical metrics for BAU monitoring.
• Design thinking and modelling: Leverage knowledge of SAP data structures to perform data and impact analysis for assigned use-cases by accessing Azure data lake (via Databricks) using SQL/Python. Define model (conceptual) and functional design to support automated DQ monitoring.
• Visualization and dashboarding: Support design, build and deployment of high quality, actionable reports and dashboards (using Power BI) which detect poor data quality and help business drive resolution. Resolves blocking issue paths and constructs workflow and alerts which recommend process and data owners of unresolved data exceptions requiring actions. Collaborates with IT & analytics teams to drive innovation by demonstrating AI, ML, NLP etc.
• Problem Statement and impact assessment: Innovative models to calculate financial impacts of Issue. Further identify business benefit (quantitative/qualitative) from a remediation standpoint while handling implementation timelines. Participate in data governance forums to present data quality finding and recommend plan of action for resolution.
• Data quality issue management and remediation: Work alongside the data governance and data remediation team to uncover DQ issue based on exceptions and come up with approach while parallelly driving business accountability and ownership Project Management: Own and drive data quality projects against the plan and ensure risks/issues are identified and brought up well in time.

Essential Experience and Job Requirements:

• 11+ total years of experience predominantly in Oil & Gas or Financial Services/Banking industry within Data Management space.
• Experience of working with Data Models/Structures and comfortable in deep-diving to craft and fine tune them.
• Experience of Data Quality i.e. Governance, maintain quality (Problem analysis, Remediation /solution identification), Governance Forums (papers production, quorum maintenance, Minutes publication), CDE identification, Data Lineage (identification of authoritative data sources) preferred.
• Understanding of key metrics/Measures needed as well.
• Experience of having worked with senior customers in multiple Data Domain /Business Areas, CDO, and Technology.
• Ability to collaborate with global teams.
• Accountability to work in globally team with different strengths.

Desirable Criteria:

• SAP MDG/SAP ECC/CFIN experience (T codes, Tables structures, etc.)
• Azure Data lake /AWS/Data Bricks Crafting dashboards & workflows (PowerBI, QlikView or Tableau, etc.)
• Crafting analytics and insight in a DQ setting (PowerBi/power Query)
• Profiling and analysis skills (Informatica or Collibra)
• Persuading, influencing, and communication at a senior level management level
• Certification in Data Management, Data Science, and Python/R desirable

Skills:

Accounting for financial instruments, Accounting for financial instruments, Accounting policy, Accounting processes and financial systems, Agility core practices, Agility tools, Analytical Thinking, Analytics, Business process control, Business process improvement, Collaboration, Commercial acumen (Inactive), Commercial assurance for external reporting, Communication, Creativity and Innovation, Credit Management, Curiosity, Customer-centric thinking, Data Analysis, Data visualization and interpretation, Decision Making, Digital Automation, Digital fluency, Financial accounting and reporting, Influencing {+ 5 more}

For further information, and to apply, please visit our website via the "Apply" button below.

Candidates must be resident in Malaysia, or have the right to work in Malaysia.