Lead Data Analyst
Lead Data Analyst
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Job Description
Role Overview
At Endava we empower organisations to harness the full value of their data through trusted insights scalable platforms and humancentred design. With over 500 data and AI professionals globally our Data & AI Discipline helps clients transform data into strategic assetsdriving better decisions improved operations and longterm success.
As we grow our Data & AI capability in Australia we are seeking a Lead Data Analyst to play a critical role in shaping our local delivery. This role combines deep technical expertise in data analysis with a strong understanding of business needs. The Lead Data Analyst is responsible for collecting transforming modelling and visualising data to provide actionable insights that guide business decisionmaking.
From understanding complex data structures to designing intuitive dashboards the Lead Data Analyst ensures data is clean structured and used effectively. The role also includes collaborating across teams to enhance data processes improve governance and strengthen analytical capabilities at client sites.
Key Responsibilities
Data Collection & Integration
- Collect data from diverse sources such as APIs databases spreadsheets and web sing.
- Design and maintain data systems and databases identifying and correcting coding issues or data inconsistencies.
Data Cleaning & Preparation
- Clean and validate data to ensure accuracy and completeness.
- Handle missing values duplicate records and formatting issues to prepare highquality datasets.
Data Understanding & Modelling
- Analyse and interpret data structures schemas and metadata.
- Infer relationships between datasets and develop logical models to support analysis.
- Design and implement new data structures where needed.
Statistical Analysis
- Apply statistical techniques to explore datasets and validate assumptions.
- Perform statistical testing correlation analysis and calculations to uncover patterns and relationships.
Data Visualisation & Communication
- Create charts dashboards and reports that present insights in a compelling and businessrelevant way.
- Use storytelling techniques to explain complex data findings clearly and persuasively.
Reporting & Decision Support
- Build and maintain automated and custom reports to inform operational and strategic decisions.
- Deliver insights to stakeholders in a clear concise and actionable format.
Collaboration & Governance
- Work with data engineers business stakeholders and product teams to improve data processes and pipeline reliability.
- Contribute to data governance strategies and promote best practices in data quality and accessibility.
Domain Knowledge & Contextual Analysis
- Develop a strong understanding of client business domains (e.g. healthcare financial services insurance).
- Build models and analyses that align with business priorities and deliver commercial value.
Qualifications :
Key Skills & Competencies
Technical Skills
- Programming & Querying: SQL Python (pandas numpy) R
- Data Integration: Experience with APIs flat files web sing ETL pipelines
- Statistical Tools: Excel R Python (scipy statsmodels) hypothesis testing
- Visualisation Tools: Power BI Tableau Looker Matplotlib Seaborn
- Data Platforms: Relational databases (SQL Server PostgreSQL) Data Warehouses (Snowflake Redshift BigQuery) Excel
- Data Modelling: Normalisation schema design dimensional modelling
Architectural Competencies
- Experience working across structured and semistructured data sources
- Strong understanding of metadata data cataloguing and lineage
- Knowledge of data governance frameworks and best practices
Soft Skills
- Analytical Thinking: Able to derive meaningful insights from complex datasets
- Communication: Able to present data insights clearly to nontechnical stakeholders
- Collaboration: Works crossfunctionally with engineers managers and domain experts
- Leadership: Coaches junior analysts and contributes to a culture of data excellence
Preferred Industry Experience
- Experience working in regulated industries such as banking financial services insurance or healthcare is highly valued.
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 valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear 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 passiton sessions workshops conferences;
- WorkLife 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.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
