*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for an Associate Principal, Data Analytics. This associate principal will expand analytic capabilities and will design/build internal analytics within data warehousing using on-prem and cloud based tools. The associate principal will create dashboards/visualizations using tools such as Tableau, PowerBI, SQL Queries, Alteryx, etc.

Responsibilities:

• Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries
• Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability
• Integrate data form multiple sources and ensure data consistency and quality
• Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights
• Maintain performance requirements of our analytics warehouse by tuning optimizations and processes
• Create documentation and testing to ensure data is accurate and easily understandable
• Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources
• Discover and share best practices for data and analytics engineering with members of the team

Qualifications:

• Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience
• 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
• Experience working within an agile environment
• Ability to write and optimize complex analytical (SELECT) SQL queries
• Experience with data viz/prep tools (preferably Tableau and Alteryx)
• Experience with SaaS tools and their backends, such as Jira and ServiceNow
• Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing)
• Experience with a source code repository system (preferably Git)
• Familiarity with at least one cloud data platform, such as AWS or GCP