
High Salary Business Data Leader
2 days ago
Job Description:
We are seeking a highly skilled data professional to join our team as an Associate Vice President. The ideal candidate will have extensive experience in data engineering and business intelligence, with a strong background in developing and implementing data-driven solutions.
Key Responsibilities:
- Data Asset Management: Design and implement methodologies for data assets to ensure effective governance, quality, and monetization.
- Data Strategy Frameworks: Build frameworks and models to implement data strategy components, including data governance, quality, consumption, and enterprise management.
- Maturity Assessments: Perform maturity assessments on data management capabilities and operating models, providing recommendations for improvement.
- Cloud Solutions: Develop and implement cloud-based solutions to support data-driven decision-making, leveraging ELT techniques and modern data warehousing.
- Data Orchestration: Manage large datasets using advanced techniques and tools, ensuring seamless integration with existing systems.
- Due Diligence: Conduct buy-side due diligence engagements, identifying value creation opportunities through analytics application.
- Deal Delivery: Lead mid-to-large size deals, ensuring smooth delivery and excellent client relationships.
- Team Collaboration: Foster effective communication and collaboration with cross-functional teams, driving teamwork and dedication.
Required Skills and Qualifications:
- Data Engineering Expertise: Minimum 8-12 years of experience in data engineering and business intelligence, with expertise in developing and implementing data as an asset service.
- Azure Services: 5+ years of proven experience working with MS Azure services, including Azure Data Factory, Azure Data Explorer, Storage, Data Lake, Synapse Analytics, and Analysis Services.
- Business Intelligence Tools: Strong working experience with business intelligence tools (PowerBI, Alteryx, Tableau), with familiarity of advanced techniques and tools like Azure Maps, ArcGIS, and more.
- Programming Languages: Proficiency in programming languages (Python, NoSQL, PL/SQL) and ability to work with various data orchestration tools.
- Analytics and Problem-Solving: Superior analytical and problem-solving skills, with the ability to communicate complex ideas effectively.
Benefits:
- Opportunity to Grow: Supervisory experience, willingness to mentor team members, and contribute towards scaling up the practice.
- Flexibility: Ability to adapt to ever-changing client demands and flexibility to travel as needed.
- Professional Development: Opportunities for professional growth and development in a dynamic and innovative environment.
Others:
- Strong Communication: Excellent interpersonal and client relationship skills, with strong written and verbal communication skills.
- Industry Knowledge: Understanding of one or more industries/sectors and associated KPIs from a transaction lens, across the entire deal life cycle.
- Technical Requirements: Familiarity with technical requirements, including industry knowledge, cyclicality analysis, quality of earnings, and business performance management techniques.
Keyword:
Data Executive
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