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Data Strategy and Governance Lead
2 months ago
First Rate Exchange Services is seeking a highly skilled and experienced professional to lead our data strategy and governance efforts. As the Head of Data and Analytics, you will be responsible for developing and implementing a comprehensive data strategy that aligns with our business objectives.
Key Responsibilities- Strategic Leadership: Develop and implement a data strategy that aligns with the company's business objectives.
- Data Governance: Establish and enforce data governance policies to ensure data integrity and compliance with relevant regulations.
- Budget Management: Manage the data department budget effectively, ensuring optimal use of resources.
- Cross-Functional Collaboration: Collaborate with technical and business stakeholders to ensure effective data management and analysis.
- Data Management: Oversee the strategy, operations, storage, and analysis of business data.
- Team Leadership: Lead and manage the data team, providing guidance and support as needed.
- Project Management: Manage data-related projects, ensuring they are delivered on time and within budget.
- Business Acumen: Analyze data and use it to make informed business decisions, identify trends, patterns, and insights that can help the organization achieve its goals.
- Communication: Communicate effectively with internal and external stakeholders, create compelling content that resonates with the target audience.
- Data Architecture: Understanding data models, warehouses, and lakes.
- Database Management: Proficiency in SQL, NoSQL, and database design.
- Data Integration: Knowledge of ETL/ELT processes and tools.
- Data Quality: Understanding data cleansing, validation, and profiling.
- Data Analysis: Proficiency in statistical methods, data mining, and predictive analytics.
- Programming: Proficiency in languages like Python, R, or SQL for data manipulation and analysis.
- Data Visualization: Ability to create compelling data stories through visualizations.
- Cloud Platforms: Understanding cloud-based data solutions (Azure, AWS or GCP).
- Big Data Technologies: Familiarity with Hadoop, Spark, and other big data tools.
- Machine Learning: Basic understanding of ML algorithms and their applications.
- Ai: Knowledge of AI concepts and potential applications in the business.
A degree in Data Science, Computer Science, Maths, Physics or Psychology, or a related field is usually required for this role, or suitable professional experience. A Master's degree or PhD in the above subject or a Master in Business Administration (MBA) would be extremely beneficial.
