Responsibilities
- Perform data analysis and data profiling.
- Develop data processing/transformation pipelines using SQL.
- Develop data visualisation and self-service analysis applications/dashboards using Power BI.
- Work closely with Data Engineers and other team members in formulating requirements and developing data models, structures and pipelines that support business needs.
- Integrate into a cross-functional agile team with Product Owner, Data Scientists/Analysts/Stewards and Data/ML/Software/DevOps Engineers.
- Work closely with the Product Owner and business stakeholders to ensure business value realisation.
- Facilitating, planning and managing workshops and activities to define business needs for analytics.
Requirements
- Strong experience with data visualisation tools such as PowerBI, QlikSense, Tableau, etc.
- Strong experience in SQL, preferably with cloud based data warehousing services like Google BigQuery, Snowflake or AWS Redshift.
- Experience in People/HR data and analytics.
- Preferably experience with Python or other programming languages to perform data processing and analysis.
- Working independently and sense checking own work by combining Business and Analytics knowledge.
- Team-oriented, experience with working with cross functional teams and Agile.
- Goal-oriented, experience with delivering assignments and keeping focus, working proactively and suggesting new ideas to improve.
- Knowledge in project management and change management.
