Data Management Analyst

Data Management Analyst

This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to workforce planning data. The successful candidate will govern the ecosystem of workforce data (FPA + People) data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics.

Responsibilities

• Data Architecture Design:

  Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy

• Metrics Aggregation and Computation Layer:

  Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization

• Subject Matter Expertise:

  Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements

• Ontology and Artificial Intelligence-Consumable Data Architecture:

  Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications

Key Skills & Qualifications:

• 10+ years of experience in data analysis, database development, or related fields, with a strong emphasis on SQL.
• Extensive experience in data extraction, cleaning, and transformation from diverse data sources, including relational databases (PostgreSQL, MySQL), cloud data warehouses (BigQuery)
• Proficiency in scripting languages such as Python for data automation.
• Strong problem-solving and analytical skills with an eye for identifying patterns, trends, and inconsistencies in data.
• Excellent business understanding of how data impacts decision-making and business strategy.
• Experience with Google Cloud Platform, particularly BigQuery and Cloud SQL, is a plus.
• Excellent communication and presentation skills.
• Extensive experience of building ontology and AI-consumable data architecture and metadata using prodigy, swoop, etc

Additional Skills (Preferred):

• Familiarity with google cloud is a plus.
• Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.