Data Solutions Analyst

The Data & Analytics Solutions Analyst is a pivotal role within the IT department, responsible for transforming business requirements into robust and scalable data solutions. Reporting to the Data & Analytics Manager, this role focuses on designing, implementing, and overseeing data and analytics solutions that align with the organisation's strategic goals. The successful analyst will play a key role in bridging the gap between business needs and technical execution, ensuring that external vendors deliver high-quality results.

What's involved?

1. Turning Ideas into Action:

   • Collaborate with the Data & Analytics Manager to understand business requirements and convert them into clear, actionable technical specifications.
   • Develop and execute plans for implementing data solutions that meet these specifications.

2. Bringing Solutions to Life:

   • Manage the implementation of data solutions, including ETL processes, data pipelines, and data models.
   • Ensure that data solutions are efficiently executed and meet all requirements.

3. Vendor Partnering:

   • Serve as the primary technical liaison with external vendors, ensuring they deliver solutions that meet the defined technical specifications and quality standards.
   • Monitor vendor performance, address any issues, and ensure timely delivery of solutions.

4. Business Intelligence & Reporting:

   • Develop and maintain business intelligence reports and dashboards using tools like Power BI.
   • Create data visualisations that provide actionable insights and support informed decision-making.
   • Ensure accuracy and reliability of BI outputs.

5. Process Improvement & Risk Management:

   • Identify opportunities for improving data processes, focusing on efficiency and data quality.
   • Proactively manage risks related to data solutions and implement strategies to mitigate them.
   • Stay updated on industry trends and emerging technologies to recommend improvements.

6. Compliance & Documentation:

   • Ensure data solutions comply with internal governance and security standards.
   • Maintain and update documentation for data processes and solutions.

Required Skills & Experience:

• Technical Expertise:

  • Experience with data engineering tasks, including ETL processes and data pipeline management.
  • Proficiency in scripting languages such as Python, SQL, and PowerShell. SQL is a must!
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS) and business intelligence tools (e.g., Power BI).

• Execution Focus:

  • Ability to implement and manage data solutions based on predefined designs and specifications.
  • Experience translating business requirements into practical data solutions.

• Vendor Management:

  • Experience working with external vendors, ensuring deliverables meet quality and timeline expectations.

• Soft Skills:

  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Collaborative mindset, with a talent for working effectively in cross-functional teams.
  • Keen attention to detail and commitment to data accuracy and quality.