Consultant - Data Analysis

Data Maintenance & Data Quality

• Perform routine maintenance of financial and operational datasets.
• Monitor and validate data used within reporting solutions.
• Investigate and resolve data quality issues.
• Execute regular reconciliation and validation checks.
• Support the maintenance of master data, hierarchies, and reference tables.
• Identify opportunities to automate repetitive validation activities.

Reporting & Power BI

• Support the maintenance and enhancement of existing Power BI dashboards.
• Build and maintain simple Power BI data models using established standards.
• Develop basic reports and visualisations to support business requirements.
• Assist with dashboard testing and deployment activities.
• Support month-end and forecast reporting processes.

Process Documentation & Governance

• Create and maintain process documentation, user guides, and operating procedures.
• Document data flows, data definitions, and reporting logic.
• Support data governance and control activities.
• Assist with maintaining reporting catalogues and knowledge repositories.

Tool Development & Automation

• Develop simple tools to improve the efficiency and accuracy of data validation activities.
• Assist in the creation of automated reconciliation and exception reporting.
• Support process improvement initiatives across reporting and analytics.
• Identify opportunities to reduce manual effort through automation.

Business Support

• Respond to day-to-day reporting and data queries.
• Work with finance and operational stakeholders to understand reporting requirements.
• Assist in testing new reporting enhancements and system changes.
• Support ad-hoc analytical and reporting projects.

Essential Skills & Experience

Technical Skills

• Power BI - Optional.
• Understanding of data modelling concepts and relationships.
• Good knowledge of Excel including:
• Pivot Tables
• Power Query
• Lookup functions
• Data validation techniques
• Basic SQL skills. - optional
• Experience working with large datasets.
• Understanding of data quality and reconciliation processes.

Analytical Skills

• Strong attention to detail.
• Ability to identify anomalies and investigate root causes.
• Logical and structured problem-solving approach.
• Ability to turn business requirements into simple reporting solutions.

Personal Attributes

• Highly organised and methodical.
• Strong written documentation skills.
• Proactive and willing to learn.
• Ability to manage multiple priorities.
• Strong communication skills and ability to explain technical concepts to non-technical users.

BGV

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.