Data Analyst at Morson International (IT) – Cheshire, England

Job Description

The Business Intelligence (BI) Analyst will play a critical role in leveraging HR data to produce insightful, data-driven reports in Power BI, enabling both strategic and operational decisions across the organization. The role involves educating and training the business on utilizing data as an analytical tool, ensuring data quality, and collaborating with key stakeholders to drive business decisions. This position requires a blend of technical expertise, analytical skills, and the ability to communicate complex information effectively.

Key Responsibilities:

1. Data Analysis and Reporting:
   • Conduct in-depth data analysis to identify trends, patterns, and insights within HR data.
   • Develop comprehensive reports and visualizations using Power BI to communicate findings to stakeholders.
   • Ensure data quality and integrity, identifying and rectifying data issues as they arise.
   • Manipulate and integrate data from diverse HR sources, focusing on automating these processes where feasible.
2. Stakeholder Engagement:
   • Collaborate with key stakeholders across the business to understand their challenges and identify opportunities for data-driven solutions.
   • Participate in regular sessions with business areas to ensure clear communication and alignment of BI objectives with business needs.
   • Provide subject matter expertise on key BI components and support training for BI users to transform data into actionable information.
3. Project Management and Delivery:
   • Work within scrum teams to review timelines and deliverables, ensuring project goals are met within the specified timeframes.
   • Engage in the project management estimation process, ensuring accurate estimates and challenging unclear requirements.
   • Support testing for all BI development, ensuring solutions meet the business’s needs, including planning, designing, and executing user testing.
4. Continuous Improvement and Innovation:
   • Work with key stakeholders to research business problems and create models that enable informed decision-making.
   • Contribute to the development of business cases in support of process changes or IT projects.
   • Demonstrate a calm and positive approach to problem-solving in a highly changeable environment with multiple priorities.

Decision-Making:

• Data Analysis: Conduct in-depth analysis to identify trends and provide actionable insights.
• Report Generation: Develop and deliver reports and visualizations to communicate data findings effectively.
• Data Quality Assurance: Ensure the accuracy and integrity of data, addressing any issues that may arise.
• Stakeholder Communication: Collaborate and present data-driven recommendations to various departments.

Required Knowledge, Experience, and Skills:

Technical Skills:

• BI & Analytics: Strong understanding of BI and analytics, particularly within HR data systems and processes.
• Data Governance: Familiarity with data governance principles and their implementation.
• Delivery Methodologies: Knowledge of Agile and Waterfall delivery methodologies.
• Data Security: Understanding of data protection principles and new guidelines.
• Technical Proficiency: Experience with Power BI, SQL Server, and data integration techniques.
• Analytical Skills: Advanced skills in handling, analysing, and generating insights from HR data.

General Business Skills:

• Degree or equivalent experience in a relevant field.
• Commercial acumen and the ability to make informed decisions in ambiguous environments.
• Excellent communication, presentation, and stakeholder management skills.
• Proven track record in delivering projects within a matrixed team structure.
• Strong negotiating and consensus-building abilities.
• Ability to work under pressure and manage multiple priorities.

SFIA Key Skills Profile:

• Research (Level 2): Assist in selecting and reviewing credible resources and contribute to research material.
• Measurement (Level 4): Develop and prioritize measurement methods, specify data collection and storage, and design reporting formats.
• Data Management (Level 4): Implement master data management processes, assess data integrity, and maintain information handling procedures.
• Business Intelligence (Level 4): Support BI needs, apply tools and techniques for analysis, and optimize operational data handling.
• Data Visualization (Level 4): Design data visuals, automate production, and explore new visualization techniques.
• Scientific Modelling (Level 4): Apply mathematical models, assess outputs, and provide user guidance.
• Numerical Analysis (Level 4): Develop algorithms, assess their stability and efficiency, and recommend improvements.
• Stakeholder Relationship Management (Level 4): Manage stakeholder engagement, resolve issues, and enhance relationships.