Data Management Analyst

This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to People data. The successful candidate will govern the ecosystem of 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.

Data Management Analyst Responsibilities:

• Data Architecture Design: Develop and implement data architecture that complements data engineering design and policies, optimizing 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.
• Business Partnership: Act as a bridge between the Business, People Analytics, and Engineering teams, empowering efficient decision-making by facilitating collaboration, communication, and data-driven insights.
• Ontology and AI-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.
• Data Governance Framework: Develop a comprehensive Data Governance framework and artifacts that provide a 360-degree view of a metric, supporting data literacy and catalog development. This includes creating data governance policies, procedures, standards, and guidelines that ensure data quality, security, and compliance.
• Data Governance implementation : Drive certification of metrics definitions and drive risk management ways of working in People Analytics. Drive Data Quality framework and implement Data Quality rules that is reactive and proactive. Validate data lineage and modernize data governance across People Analytics
  
  

Minimum Qualifications:

• 5 years of Advanced SQL, PL/SQL , Relational Database and data modelling
• 5 Years of Data Architecture and data modelling skills set. Implemented / working knowledge of Kimbell STAR Schema / Vault modelling techniques.
• 3 years of Visualization, Business Intelligence tools such as Tableau/Looker/Power BI.
• 5 years of QA / Testing and Data Analysis skills set. Experience to drive what if scenarios and advanced analytical skill set.
• 5 Years of Data Governance implementation experience
• 4 years of Data Stewardship experience, implementing data quality rules and metadata management
  
  

Preferred Qualifications:

• 8 years of Advanced SQL and developing last-mile delivery data architecture
• 3 years of Python coding experience - building data pipelines
• 7 years of experience in Data Governance and Data Management workstreams
• Knowledge of Semantic layer creation for BI tools
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$124,000/year to $176,000/year benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.