Senior Data Analyst

How you'll make an impact:

Responsibilities:

• Develops, maintains, and tests infrastructures for data generation.
• Creates and maintains optimal data pipeline architecture and assembles data to meet business needs.
• Assembles large, complex datasets that meet functional and non-functional business requirements.
• Identifies, designs, and implements internal process improvements; automates manual processes, optimizes data delivery, and redesigns infrastructure for greater scalability.
• Builds infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.
• Works with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support data infrastructure needs.
• Keeps data separated and secure across national boundaries through multiple data centers and AWS regions.
• Creates data tools for analytics and data scientist team members that assist with building and optimizing products into innovative, industry-leading solutions.
• Oversees data generation infrastructure.
• Builds analytics tools to provide actionable insights and assist data science and analytics team members with building best-in-class products.
• Works with stakeholders to assist with data-related technical issues and support data infrastructure needs.
• Recognized subject matter expert in sub-function, typically obtained through advanced education and work experience.
• Manages large projects or processes and/or products and systems with limited oversight from management.
• Coaches, reviews, and delegates work to lower-level professionals.
• Faces IT function-related problems that are difficult and moderately complex.
• Serves as an expert within own discipline.

About you:

Qualifications:

• University degree and minimum 7 years of prior relevant experience, or equivalent experience.

Preferred:

• SQL
• Python
• Azure Data Factory
• Databricks
• Spark (experience would be a plus)
• Data transformation
• Cloud data experience
• Distributed data warehouse knowledge
• Data lakes
• Communication and stakeholder management skills

Skills

Databricks, Python, SQL