Data Solutions Architect

2 weeks ago

Loch Garman, Loch Garman, Ireland beBeeData Full time €115,533 - €145,682
Lead Data Strategist

Overview:

As a seasoned professional, you will drive the development of cutting-edge solutions for leading clients. You will be instrumental in shaping data and insights strategies, leading key projects, and providing technical and strategic expertise.

Required Skills
  • Design, manage, and deliver analytical insights and solutions through data analysis, data management, and data science.
  • Deliver technical and business strategic expertise to ensure proper governance of data sources, models, attributes, and analytic platforms.
  • Accountable for the data and insight strategy and its execution.
  • Provide thought leadership regarding the use and application of data and analytics for competitive advantage.
  • Communicate analytical results to generate improved business decisions and profitability.

You will combine business requirements and existing processes to create analytical solutions. This role demands strong AI and machine learning skills, a passion for innovation, and the ability to mentor and lead within a collaborative team.

Key Accountabilities
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions.
  • Collect, analyze, and interpret large data assets to define and build innovative solution components leveraging business and technical expertise.
  • Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
  • Lead the development of projects with multiple deliverables, leveraging business and technical expertise.
  • Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
  • Packaging, summarizing, visualizing, and performing storytelling on analytical findings and results for management and business users.
  • Communicate results to external stakeholders and mid-level leadership, able to communicate business impact of work.
  • Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy.
  • Consistently deliver moderately complex to complex projects on time and against key metrics, with quality and speed.
  • Drive excellent execution using experience and knowledge to find ways to complete work efficiently.
  • Have a sense of urgency, agility, and grit.
  • Organize own work independently, ensuring continuous alignment with leadership expectations and aims to deliver winning results.

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