Data Solutions Analyst
2 weeks ago
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:
- 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.
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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.
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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.
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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.
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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.
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Compliance & Documentation:
- Ensure data solutions comply with internal governance and security standards.
- Maintain and update documentation for data processes and solutions.
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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).
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Execution Focus:
- Ability to implement and manage data solutions based on predefined designs and specifications.
- Experience translating business requirements into practical data solutions.
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Vendor Management:
- Experience working with external vendors, ensuring deliverables meet quality and timeline expectations.
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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.
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