
Data Strategist
1 week ago
Job Opportunity: Data Lead
About the Role:
- You will be responsible for developing and implementing data solutions that empower stakeholders to make informed, data-driven decisions.
- As a seasoned data professional, you will design and implement robust and scalable data models that support business intelligence, analytics, and reporting requirements.
Key Responsibilities:
- Design and develop data dictionaries and metadata repositories.
- Ensure data integrity and consistency across all data platforms.
- Evaluate and recommend data storage and processing solutions.
- Develop advanced Power BI dashboards and reports that provide actionable insights to stakeholders.
- Create interactive visualizations and data stories that effectively communicate complex data.
- Optimize Power BI performance for large datasets and complex reports.
- Implement and maintain Power BI data gateways and data refresh schedules.
- Write and optimize complex SQL queries for high-performance data retrieval and processing.
- Perform data profiling and analysis to identify data quality issues and implement remediation strategies.
- Develop and maintain ETL processes for data integration and transformation.
- Troubleshoot and resolve database performance issues.
- Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions.
- Define and implement data governance policies and procedures.
- Develop and communicate data strategies and roadmaps.
- Provide data-driven insights and recommendations to support strategic decision-making.
- Lead data-related projects.
- Mentor junior team members.
Requirements:
- Advanced proficiency in Power BI Desktop, Power BI Service, and DAX.
- Experience with Power BI data modeling, visualization, and report development.
- Knowledge of Power BI data gateways and data refresh schedules.
- Advanced proficiency in SQL for data querying, manipulation, and analysis.
- Experience with database optimization and performance tuning.
- Knowledge of database design and administration.
- Strong understanding of data modeling principles and techniques (e.g., dimensional modeling, star schema).
- Experience with data warehousing and data lake concepts.
- Ability to design and implement logical and physical data models.
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