Job Description
This role involves working closely with various stakeholders to understand their data needs and delivering high-quality, performant reports / dashboards and visualisations.
Key Responsibilities :Data Collection and Management :
– Gather data from various sources, ensuring accuracy and consistency.
– Support Data Engineers to maintain and manage databases, ensuring data integrity and security.
Data Analysis :
– Conduct exploratory data analysis to identify trends, patterns, and anomalies.
– Apply statistical techniques and models to interpret data and generate insights.
Data Modelling and Transformation :
– Define data model attributes
– Build efficient data models using best practices (star schema, relationships, measures).
– Optimization of Data models and Semantic Models using tools
Reporting and Visualisation :
– Design, develop, and maintain interactive Power BI dashboards and reports as per persona/stakeholder requirements.
– Develop complex DAX calculations, KPIs, and time-intelligence metrics.
– Optimize report performance and implement row-level security (RLS).
– Ensure data visualizations communicate insights clearly to stakeholders.
Reusable scripts/ Reports/ CI/CD :
– Develop Python scripts for automation, data processing, and advanced analytics.
– Integrate Power BI with external systems and APIs.
– Automate recurring reports and data refresh workflows.
– Implement version control and documentation for BI solutions.
Collaboration with Stakeholders :
– Work closely with business analyst to understand their data requirements and provide analytical support.
– Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Quality Assurance :
– Ensure the accuracy and reliability of data through validation and quality control processes.
– Identify and address data quality issues proactively.
Continuous Improvement :
– Stay updated on industry trends, tools, and best practices in data analysis.
– Suggest improvements to data processes and methodologies for enhanced efficiency.
– Develop and promote reuse, standards and practices via playbooks
– Collaborate with COE community to drive group analytics context within /across teams via knowledge sharing sessions
– Cultivate & participate in culture focused on data quality, data governance, data security best practices
Core skills and knowledge :
– 4 – 8 years of Proven experience as a Data Analyst or in a similar analytical role.
– This role description accurately reflects the key responsibilities and associated skills, knowledge and attributes required for to perform this role at this time.
– It is the responsibility of the employee and manager, to update this profile, (and store against the employee’s record), as responsibilities, required skills and knowledge changes.
– Strong understanding of data warehousing, data modelling, dimensional modelling methodologies such as Kimball and BI / analytics workflows.
– Proficiency in data analysis and manipulation using SQL, stored procedures
– Proficiency in data visualization software (Power BI).
– Able to build Data Models (Semantic Models) and optimize them for reporting.
– Proven experience in Azure Data Platform technologies :
– Databricks/ Microsoft Fabric, Power BI, Azure Data Lake, SQL.
– Experience developing or supporting executive-level reporting or dashboards.
– Strong analytical and problem-solving skills with attention to detail.
– Excellent communication skills, both verbal and written, with the ability to present complex information clearly.
– Knowledge of programming languages Python.
– Ability to work with large, complex datasets
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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