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?
- Turning Ideas into Action:
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Collaborate with the Data & Analytics Manager to understand business requirements and convert them into clear, actionable technical specifications.
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Develop and execute plans for implementing data solutions that meet these specifications.
- Bringing Solutions to Life:
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Manage the implementation of data solutions, including ETL processes, data pipelines, and data models.
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Ensure that data solutions are efficiently executed and meet all requirements.
- Vendor Partnering:
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Serve as the primary technical liaison with external vendors, ensuring they deliver solutions that meet the defined technical specifications and quality standards.
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Monitor vendor performance, address any issues, and ensure timely delivery of solutions.
- Business Intelligence & Reporting:
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Develop and maintain business intelligence reports and dashboards using tools like Power BI.
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Create data visualisations that provide actionable insights and support informed decision-making.
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Ensure accuracy and reliability of BI outputs.
- Process Improvement & Risk Management:
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Identify opportunities for improving data processes, focusing on efficiency and data quality.
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Proactively manage risks related to data solutions and implement strategies to mitigate them.
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Stay updated on industry trends and emerging technologies to recommend improvements.
- Compliance & Documentation:
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Ensure data solutions comply with internal governance and security standards.
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Maintain and update documentation for data processes and solutions.
**Required Skills & Experience:
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Technical Expertise:
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Experience with data engineering tasks, including ETL processes and data pipeline management.
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Proficiency in scripting languages such as Python, SQL, and PowerShell. SQL is a must!
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Familiarity with cloud-based data platforms (e.g., Azure, AWS) and business intelligence tools (e.g., Power BI).
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Execution Focus:
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Ability to implement and manage data solutions based on predefined designs and specifications.
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Experience translating business requirements into practical data solutions.
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Vendor Management:
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Experience working with external vendors, ensuring deliverables meet quality and timeline expectations.
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Soft Skills:
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Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
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Collaborative mindset, with a talent for working effectively in cross-functional teams.
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Keen attention to detail and commitment to data accuracy and quality.