Job Responsibilities:

Data Collection and Processing

Collect, integrate, and model data from multiple sources (databases, spreadsheets, APIs) for use in Power BI datasets.
Clean, transform, and preprocess raw data using Power Query to ensure accuracy, consistency, and optimal performance in reports.
Build reusable and scalable data models that support recruitment and business reporting needs.

Reporting, Dashboards & Visualization

Design and deliver interactive Power BI dashboards and reports
Create clear, visually compelling reports that enable stakeholders to explore data and self-serve insights.
Apply best practices in visual design, usability, and storytelling to maximize stakeholder adoption.

Power BI Dataset Optimization & Governance

Tidy, refactor, and optimize existing Power BI datasets to improve refresh speed, reliability, and long-term maintainability.
Implement efficient data models, relationships, and measures to support enterprise-scale reporting.
Ensure datasets are structured for easy expansion with new recruitment data points.

Microsoft Fabric & Data Platform

Leverage Microsoft Fabric to support end-to-end analytics workflows, including data ingestion, transformation, and semantic modeling for Power BI.
Work with Fabric components (e.g., Lakehouse, Warehouses) to centralize enterprise data for scalable and governed reporting.
Collaborate with data engineers and platform teams to align Power BI datasets with Fabric-based data architecture and best practices.

SQL and Querying requirements

Write and optimize SQL queries to extract, join, and aggregate data from relational data sources for use in Power BI and Fabric.
Use SQL to validate data accuracy, reconcile discrepancies, and support troubleshooting across reporting layers.
Apply SQL performance and modeling best practices to ensure reliable and efficient data delivery.

Collaboration & Stakeholder Engagement

Work closely with cross-functional teams to understand business needs and goals.
Collaborate with reporting consultants and analysts to align Power BI solutions with organizational standards.
Translate business questions into effective Power BI solutions.

Problem Solving & Data Troubleshooting

Diagnose and resolve data quality, performance, and modeling issues within Power BI reports and datasets.
Proactively identify reporting gaps and opportunities for automation or enhancement.

Projects & Delivery

Extract and format data to meet specific Power BI visualization and reporting outcomes, under guidance from reporting consultants.
Design Power BIready data pipelines that allow seamless injection of new data and modification of existing metrics.
Deliver end-to-end Power BI solutions from data ingestion to final dashboard deployment.

Continuous Improvement & Best Practices

Stay updated on industry trends, best practices, and emerging technologies.
Stay current with Power BI features, DAX improvements, and analytics best practices.
Continuously improve reporting frameworks, dataset design, and visualization standards.
Recommend and implement enhancements that improve recruitment reporting efficiency and insight quality.

Qualifications:

Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science).
Proficiency in data analysis tools such as Fabric, SQL, Excel, Python, or R.
Experience with data visualization tools (e.g., Power BI).
Strong analytical and problem-solving skills.
Excellent communication skills to convey complex findings to non-technical stakeholders.
Track record of creating dashboards (extracting data, transforming and presenting)
Detail-oriented with a passion for accuracy in data.
Quant experience/Maths background (desirable)
Financial services experience, ideally in Equities (desirable)

Data Analyst

Reports & Data Analyst | SQL & Python