The company is looking to improve its data analysis and reporting processes through the development and implementation of a Semantic Layer, aiming to drive business decisions with data insights.
Requirements
- Strong knowledge of data analysis tools and techniques, including proficiency in SQL, Python, and data visualization tools.
- Strong knowledge and experience in working directly with a Data Platform team, supporting Data Product lifecycles, and enabling Semantic Model Knowledge Graphs.
- Ability to analyze complex data, identify patterns, and make data-driven decisions.
- Experience in enterprise architecture and data governance is highly desirable
Responsibilities
- Lead, Develop and Implement Data Strategies: Create and execute data analysis, data collection systems, and other strategies to optimize statistical efficiency and quality.
- Lead, Develop and Implement Semantic Layer Knowledge Graphs: Support data platforms throughout a data product lifecycle with data organization by data product and data domains, including standardized KPIs, centralized definitions, and governance compliance.
- Data Management and Integrity: Ensure the accuracy, consistency, and security of data across the organization by maintaining databases and data systems.
- Trend Analysis and Reporting: Identify, analyze, and interpret trends or patterns in complex data sets and prepare accurate reports for upper management.
- Collaboration and Coordination: Work with different functional teams to implement data models, monitor outcomes, and support enterprise architecture projects.
- Compliance and Governance: Ensure adherence to data management and governance regulations and policies, maintaining a robust risk posture for data assets.
- Semantic Layer design, development, and adoption across the Enterprise – driving adoption rates, time-to-insight, and consistent data solutions.
Other
- Bachelor's degree in Data Analytics, Economics, Computer Science, Information Management, or a related field.
- A Master's degree in Business Administration, Data Science, or a related field is preferred.
- At least 5 years of professional experience in data analysis or a related field, with a minimum of 2 years in a managerial or supervisory role.
- Excellent communication skills to present data insights clearly and collaborate with cross-functional teams.
