sr. s4 data Quality AnalystThe Hershey Company

Location: Makati, Metro Manila, Philippines
Role Summary:
Sr. Data Quality Analyst will work with various data operational and execution teams to establish data quality polices and standards and implementing it to improve data quality with the help of tools, templates, KPI's dashboards and act as quality advisory to the data stakeholders.
Key Role Outputs:
Successfully establish data quality assurance policies, measurement criteria and SLA's working with stakeholders
Successfully identify data quality issues by implementing data quality measures and assurance polices
Successfully able to monitor, report and communicate data quality issues to all stakeholders
Able to provide inputs in data quality process improvements and can provide updates for continuous data quality improvements
Trusted, enterprise, business-driven data dictionary/glossary
Major Duties and Responsibilities:
Enterprise Master Data Quality
The Enterprise Master Data Quality Analyst assists with the management of the company's data assets in order to improve and maintain timeliness and quality of the data. This enterprise role provides the specialist viewpoint when representing enterprise data initiatives.
Design and establish data quality procedures for use in the data production process.
Establish reporting mechanisms like scorecards, dashboards to demonstrate data quality issues
Preparation of data quality assurance documents such as checklists, guidelines, manuals, templates, forms, etc..
Establish data sampling best practices for data quality measures
Establish automation procedure for obtaining recurring quality reports
Collaborates with IS teams to prioritize and implement changes and strategies
Identify, assess, fix, document, and communicate potential quality issues in the way data is collected, stored, processed, or used.
Implementing data quality and validation reports in ETL tool i.e. SAP Information Steward for S4 Data migration process.
Setting up a data quality dashboards per business needs using Power BI/similar visualization tool.
Uses reporting mechanisms (e.g., scorecard, dashboards) to identify gaps and trends in poor data quality or progress against KPIs and metrics
Interacting with users to resolve data quality problems using techniques such as root cause analysis as well as collecting data quality requirements.
Implement and monitor data quality procedures for use in the data production process.
Monitoring of service level agreements and data quality assurance policies.
Participate in cross-functional teams and assist various groups in design of test plans, data quality policy decisions, etc. to ensure data quality objectives are met.
Design, collect, analyze, and report on data quality assurance / production performance metrics.
Implement and execute data clean up measures
Provide data quality training and presentations to members of organization.
Document data quality assurance contribution to various projects and analyze the return on the use of quality data.
Data Governance Documentation Lead
Establish and maintain data quality assurance policies.
Ownership of enterprise data definitions, business rules, standards, and key design decisions (KDDs) within the enterprise Data Dictionary/Glossary
and BPDs
Establish and document best practices for data clean up
Leads global data cleansing efforts for the respective master data responsibility area
Change Management
Coach and train Data Quality Analysts with new functionalities, best practices and process changes when and where identified
Establish cadence with Data Stewards for all improvement initiatives or opportunities
identified in the Data Quality issues
Establish and document process changes for data clean up
Benchmarking, Internal Networking
Incorporate industry best practices and tools based on emerging trends and changing business requirements. Benchmark and participate in sharegroups with other organizations in order to advance The Hershey Company's capability.
Minimum knowledge, skills and abilities required to successfully perform major duties/responsibilities:
Leadership/Facilitator Skills:
Ability to work well with others as well as part of a team
Ability to adapt work style to other cultures and time zones.
Ability to handle multiple priorities
Strong drive for results
Ability to sell ideas and influence peers and management
Strong business and financial acumen
Initiates projects resulting in increased efficiency
Improvement mindset
Technical Skills:
Expertise with SAP Master data model/technical structure and relationships between various tables.
Understanding and experience with data quality process and various dimensions.
Understanding of data migration process including scoping, profiling, classification, mapping, pre/post load validations, reconciliation.
Experience with SAP Information Steward or any other data profiling/ETL tool - usage to build reports, setup tasks for scheduled refreshes, data profiling.
Hands-on with Power BI is beneficial.
Advanced MS Office skills (Excel, Word, PowerPoint, Sharepoint)
Ability to interpret, establish and maintain data definitions, business rules and standards
Advanced SAP skills (Master Data, Order to Cash, Inter-company accounting)
Competencies:
Problem Solving
Detailed oriented; uses rigorous logic and methods to solve difficult problems with effective solutions; effectively researches and probes all sources for answers; can see/recognize hidden problems and look beyond the obvious.
Learning
Learns from personal successes and failures and those of others and applies learning to new situations; learns quickly when facing new problems; versatile and experiments to try to find solutions; open to change; enjoys the challenge of an unfamiliar task.
Listening and Interpersonal Skills
Practices attentive and active listening and has the patience to hear people out; can accurately restate the views of others even when he/she personally disagrees; relates well to all kinds of people, up, down, and across the internal organization and externally; builds rapport quickly; develops constructive and effective relationships; uses diplomacy and tact; can diffuse high-tension situations comfortably.
Education/Experience:
Education: Bachelor's degree in Business Administration, Accounting/Finance, Information Systems, Engineering or related field preferred.
Experience:
At least 4-6 years of experience in Data Quality.
Must have SAP experience.
Must have master data experience in any domain (Vendor, Customer, Material, or Pricing)
Must have experience in SQL.
Strong preference given to candidates with Power BI and Tableau experience.
Must have great people management skills.
Must have strong critical thinking skills and high attention to details.
Must have strong business partnering experience with internal and external stakeholders
Must be adaptable to changes
Must have the capability to establish rapport and strong collaborative relationships with cross functional teams while also having the ability to push back when needed.
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The Hershey Company

Makati City, Metro Manila
Permanent
Full-time