Sr Analyst-Data Analytics

We are seeking an experienced Data Analyst for our team who can support the design, development and enhancement of our data model and visualizations. This DataOps team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Data Analyst will help ensure data quality (data accuracy, completeness, timeliness, consistency, uniqueness and relevance) is meeting the highest standards for our users.  This individual will be responsible for quantitative analysis, data mining and data validation across infrastructure data sources and data visualization tools.

Lets build on what you know.

The role will require a unique blend of strong analytical and business leadership skills to translate business decisions into data requirements and visualizations.  This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes supporting the team in defining and aggregating the data, metrics, and KPIs required to provide business insights. They will translate business requirements into the meaningful data queries and calculations needed to drive the appropriate data decisions and ensure data validation processes address data quality requirements. They will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data analytics and data visualization best practices.

Key responsibilities include:

• Data Analysis: define methodology and approach for curating appropriate datasets to prepare data for reporting or analytical modeling that answers business-related infrastructure questions and hypotheses
• Data Validation: Investigate and document data sources to ensure data is fit for purpose and meets data quality standards
• Data Process and Monitoring: Ensure proper data validation, testing, and monitoring for ID&A data lake and downstream systems
• Data Migration: Design and support migration to a data model that is independent of the particular technologies or tools used for storing, processing, or accessing the data
• Data Integrity: Ensure the accuracy, completeness, and quality of data is maintained over time regardless of upstream systems or downstream 
• Agile Methodologies: Function as a key member of an agile feature team and manage data assets as per the enterprise standards, guidelines and policies
• Partner closely with business intelligence team to capture and define data requirements for new and enhanced data visualizations
• Work with product teams to perform on-demand data queries and assessments for use in data modeling and cost methodology
• Enterprise Thinking: Partner with data architects and engineers across Global Infrastructure and Asset Management teams to evolve the broader tech operations data domain and taxonomy
• Act as point of contact for data-related inquiries and data access requests
• Contribute to decisions about tools, methods and approaches
• Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights

Minimum Requirements:

• 6+ years of data analytics experience in supporting data engineering, data quality monitoring, governance, and self-service data access  
• Strong analytical and conceptual thinking acumen
• Proficiency with industry recognized ETL methods, processes and standards
• High proficiency in Python and SQL
• High proficiency in analytical and statistical tools
• Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes
• Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data
• Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
• Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
• Fluent in data risk, management, and compliance terminology and best practices
• Proven track record for delivering business insights with tech and business stakeholders
• Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
• An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
• Excellent influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
• Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
• Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
• Experience working in technology business management, technology infrastructure or data visualization teams a plus
• Experience with design and coding across multiple platforms and languages a plus
• Bachelor’s Degree in data analytics, computer science, computer science engineering, data engineering, statistics, economics, or related field required; advanced degree preferred