Job Summary
Key Responsibilities:
- Data Exploration & Modelling:
- Analyze and process data for BI purposes.
- Design and implement semantic data models.
- BI Development & Reporting:
- Own and manage the reporting environment.
- Create and maintain models, reports, and implement Row-Level Security (RLS).
- Develop compelling, story-driven dashboards using Power BI Cloud.
- Consultancy & Advisory:
- Act as a trusted advisor to stakeholders, translating business needs into data solutions.
- Provide strategic insights and recommendations based on data analysis.
- Self-Service BI Enablement:
- Build and maintain integrated datasets for self-service BI.
- Empower teams with tools and training to leverage BI capabilities independently.
- Collaboration & Knowledge Sharing:
- Work closely with cross-functional teams to challenge ideas and share best practices.
- Foster a culture of continuous learning and improvement within the data team.
Required Experience & Skills:
- Proven experience in data analysis, data modelling, and BI development.
- Hands-on expertise with Power BI Cloud – including dashboard creation, data modelling, and RLS.
- Strong consultancy skills with a track record of advising stakeholders.
- Experience with data warehouses, data quality, and semantic modelling.
- Ability to manage complex data projects and integrated datasets.
- Excellent communication and storytelling skills through data.
- Collaborative mindset and a passion for sharing knowledge.
Key Responsibilities
2. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
3. Optimize sql queries and database performance to ensure efficient data retrieval.
4. Design and implement etl processes to extract, transform, and load data into the powerbi environment.
5. Troubleshoot and resolve technical issues related to powerbi and sql.
6. Stay updated on latest trends and best practices in powerbi and sql to enhance data analytics capabilities.
Skill Requirements
2. Strong command of sql for querying and managing relational databases.
3. Knowledge of data modeling and data warehousing concepts.
4. Ability to interpret and analyze complex data sets.
5. Excellent communication skills to collaborate with cross functional teams.
6. Attention to detail and problem-solving skills to ensure data accuracy and integrity.
7. Strong organizational and time management abilities to handle multiple tasks effectively.