Senior Data Analyst
Kraków
Senior Data Analyst
Kraków
Nr Ref.: 1056891
Kraków
Nr Ref.: 1056891
HAYS Poland jest firmą doradztwa personalnego, należącą do międzynarodowej grupy HAYS plc, notowanej na giełdzie w Londynie i największej firmy rekrutacyjnej w Wielkiej Brytanii.
Grupa posiada ponad 390 biur w 27 krajach na całym świecie, w których łącznie pracuje 8 300 specjalistów. Jest liderem w Europie Środkowej i Wschodniej, Azji, Ameryce Południowej, Australii, Nowej Zelandii, Chinach, Japonii, Hong Kongu i Kanadzie.
Global Delivery Center Senior Data Analyst
Founded in South Africa in 1895, SABMiller has grown to become one of the world’s largest and most respected brewing companies. With operations in over 60 countries, it has more beer brands in the world’s top 50 than any other brewer and it ranks among the top 3 brewers in more than 30 countries. Every minute of every day throughout the world an average of over 46,000 pints of SABMiller beer is consumed. SABMiller manufactures and markets over 150 beer brands. These include such international names as: Peroni Nastro Azzurro, Miller Genuine Draft, Castle Lager and Pilsner Urquell, as well as major regional brands such as: Miller Lite, Carling Black Label, Aguila, Cristal, Pilsener, Atlas, Snow and Tyskie. SABMiller’s history is one of exceptional growth and returns to shareholders. With its global footprint of 71,000 employees, strong portfolio of brands and spread of operations in both mature and developing markets, SABMiller is well placed to continually improve on this growth.
Recently SABMiller has decided to open Global Business Services Centre to support refreshed operating model, take greater advantage of global skills and scale and support long term profitable growth. Global Business Services will be a customer focussed (we define customers in this document as our countries, regions, hubs and corporate i.e. internal) organization that delivers end-to-end processes, transactional processing and specialist services.
1. Key Purpose Statement
The GDC Senior Data Analyst is accountable for the governance, quality and continuous improvement identification for a specific process service line managed within the GDC hub. These include maintenance, governance, audit, compliance as well as supporting Data Transfers
Accountability also includes execution of the Data Management processes within a specific process service line ensuring that all in scope processes meet the SLAs as defined. The position carries overall responsibility for quality monitoring that will support the business owners of data for a specific process service line, who remain accountable as owners of the data within their processes and business units.
Reporting to the Global Delivery Centre Data Lead, this role is a key escalation point for specific process service line data management processes fail or be at risk.
2. Description of Duties
The GDC Senior Data Analyst is a Service Delivery, Customer Focused role playing a line management role within the Global Deliver Centre being responsible for a specific process service line to effectively and efficiently execute Data Management processes within the Data Management Service Line.
To ensure data management processes for their specific process service line are adequate, looking after GBS Data Management Service Lines and people in the process, ensuring their skills are up to date providing where required training materials, knowledge base to maintain required levels of expertise within the data analyst organisation.
The GDC Senior Data Analyst must develop sound working relationships with GDC Process Service Line Leads, GBS Global and GDC Data management Leads, Business Process Owners, GDC Continuous Improvement Lead, business as well as other GDC organisations within SABMiller
Additionally to ensure success of the Data Management program the GDC Senior Data Analyst works closely with the Business Process Owners, Data Management Analysts, GDC Data Analysts Supervisor to ensure the data management processes and controls are clearly embedded and adhered to by the business units.
3. Outputs and Accountabilities
Promoting Data as a Corporate Asset.
• Communicate the Value Add contribution from effective and efficient Data Management
• Improve data reliability and usability throughout the organisation in order to support decision making processes
• Maximise efficiency opportunities within processes and change activities in order to reduce lead times for delivery of critical data objects, such as customers, pricing, discounts, vendors and new employees
Delivery of GDC Data Management Services
• Manage New Requirements
• Co-ordinates resolution of issues with Business Process Owners
• Manage New Requirements
• Provides Data SME Services
• Continuous Improvement
• Timely support for escalation and support processes
• Bringing functional input into Data Management and governance
• Effective collaboration between Business Process Owners
• Providing content to the knowledge Management within the Data Management space.
• Monitoring SLAs and KPIs
• Supporting GDC Analysts and the business function in all Data Management processes
• Supporting Data Management Governance in all its processes
• Collaborates with other GDC Senior Data Analyst as well as data architects and information architects to improve SABMiller’s Data Management capabilities
• Ensures upward communication of business concerns to the GDC Data Management Lead
• Advocates the benefits of Data Management to the business
• Liaise with Business Process Owners where required in providing Subject Matter Expertise
• Preventing and checking on non-compliant data entry
Enhance data management process efficiency, streamlined organisation and improved cost to serve
• Identify continuous improvement (CI) opportunities directing these to the GDC Data Management Lead.
• Advocate Localised Data Management Policies and Procedures where required
• Contribute to improving GDC Data Management performance against goals and targets defined for GDC Organisation
• Influence the effectiveness and efficiency of the requestor, provider, approve and posting roles
4. Competence Requirements
The candidate will be able to demonstrate the following knowledge and experience:
• Deep operational master-data knowledge
• Data management Service Line experience within the Food and Beverage, Fast Moving Consumer Goods (FMCG) or similar industries.
• Experience in delivering and executing Data Management service line within a multinational corporation
• Deep operational knowledge in Data management Services - Process development, Design, Quality execution, Governance and Audit throughout the data lifecycle within Food and Beverage or FMCG sector.
• Knowledge of SAP and other ERP applications as well as extensive understanding and experience of Data Management tools.
• Cross-functional exposure to data management a requirement
• Functional Data Management experience in multiple functional areas
• Grounding in Technical Solution
• FMCG experience
• Experience of Active and Passive data governance solutions
• Experience in services relating to external and unstructured data sets and sources (e.g., “Social Data”) a distinct advantage
• Previous experience within SABMiller in a data management leadership role a distinct advantage.
Candidates will be able to demonstrate:
• Proven track record in delivering Data Management Services
• Strong customer focus and service ethic
• Excellent communication and influencing skills
• Must have English language skills, as the chosen business language of the group; business proficiency in other commonly used languages within the Business Units serviced by the GDC an advantage
• Goal oriented, Targets driven
• Energetic and resilient, with an ability to achieve challenging KPI and SLA targets
• Good attention to detail
• Ability to travel as necessary
• Robustness and resilience
• Service delivery orientation
• Awareness of SABMiller master data philosophy and design an advantage
• Must be diligent in execution of data maintenance
• Must be aware of SABMiller master data philosophy and design
• Must be able to protect the master data value by enforcing qualitative and compliant master data requests
• Targets driven
|
hays.pl |