Lead Data Analyst

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.

The Lead Data Analyst is responsible for bridging business requirements and technical data solutions. This role extends beyond traditional business analysis by delving deeper into data flows, data quality, and BI/analytics tools. Lead Data Analysts coordinate closely with Data Engineers, Data Scientists, and business stakeholders to ensure data-driven insights are accurately captured and effectively communicated.

Key Responsibilities

• Business Requirements & Data Discovery

• Elicit and interpret business needs, mapping them to data requirements.
• Work with stakeholders to define use cases, success criteria, and data-driven opportunities.

• Data Extraction & Preparation

• Identify required data sources and collaborate with Data Engineers on ingestion strategies.
• Understand and validate data lineage, data dictionaries, and source-to-target mappings.

• Data Validation & Quality Control

• Perform data profiling, anomaly detection, and data cleaning in collaboration with Data Engineers.
• Drive quality checks and ensure data accuracy for downstream analytics.

• Reporting & Visualization

• Develop dashboards, reports, and visualizations to present insights to business stakeholders.
• Tailor communication of findings to both technical and non-technical audiences.

• Collaboration & Stakeholder Management

• Liaise with project managers and clients to clarify requirements and manage expectations.
• Serve as the point of contact between technical teams (Data Engineering, Data Science) and business units.

Qualifications

Key Skills & Competencies

• Technical Foundations
  • Familiarity with relational data modelling, data flow diagrams, ETL/ELT processes.
  • Proficiency in SQL, data visualisation tools (e.g., Power BI, Tableau), and basic Python or R for data exploration.
• Analytical & Business Acumen
  • Strong statistical understanding and ability to interpret patterns, trends, and relationships in data.
  • Experience in writing effective reports and translating data findings into actionable business insights.
• Soft Skills
  • Communication & Facilitation: Ability to engage diverse stakeholders, run workshops, and clarify requirements.
  • Problem-Solving: Skilled at translating ambiguous business problems into clear data tasks.
  • Stakeholder Management: Ensures alignment between technical deliverables and business outcomes.

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.

Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.