Bachelor's degree in Business, Data Science, or a related field.
Proven experience in data management and analytics.
Proficiency in Power BI and other data visualization tools.
Strong technical acumen and collaboratiosn skills.
Preffered Qualifications:
Design thinking enables synthesizing of many ideas into big-picture view with connections between business intention and action.
Ability to lead/drive projects across a variety of cross-group stakeholders effectively to drive results.
Embraces continuous improvement and new ways of doing things, navigating in a dynamic and often ambiguous environment and while providing structure and organizational leadership to drive transformational change.
Strong communication and collaboration skills – strong written and verbal communications. Ability to document and speak to business requirements for both IT/Engineering and business consumption.
Team player – leverage and contribute effectively to the work of others and works well in matrixed team environment. Inquisitive nature, with analytical acumen and data lookup and business/data analysis abilities.
Experience developing data flow diagrams using business and data analysis to determine data flow characteristics and data model requirements.
Experience modeling AS IS and TO BE processes using a variety of tools and techniques.
High level understanding across Microsoft technology stack (Azure Data, Dynamics CRM, and Power Platform capabilities) and how to leverage them to drive intelligent support and data driven experiences.
Key Responsibilities:
Data Management:Build and maintain data pipelines, ensuring resources have continued parity across their resources and data consumption.
Technical Acumen:Promote increased technical acumen and self-sufficiency across all teams. Act as a reliable subject matter expert and trusted point of contact in OSC for data and data solutions, empowering business stakeholders to make data-driven decisions.
Reporting:
Data Insights:Enable teams through reporting to identify trends and operational insights, in support of continuous improvement and AI solutions.
Stakeholder Engagement:Build strong stakeholder engagements with technical teams on data needs for the organisation.
Security Management:Identify and address security risks and concerns related to data, reporting, and access management.
Partnership and Collaboration : Coordinating and aligning large scale deliverables across platform and data engineering teams, with agile self-driven delivery of capabilities and insights.
Thought Leadership : Leveraging data and analytics to drive innovative business strategies and decisions. Inspire and guide teams to adopt a data-driven approach, fostering a culture of continuous improvement and operational excellence. Share insights and best practices across the organisation to enhance overall business performance and customer engagement. Provides trusted voice at the decision-making table for both business and technical teams. Identifies challenges and opportunities with an in-depth understanding of the business, technology, and solution delivery. Advocates for decisions that make the best use of resources to achieve overall business strategic objectives.