Position: Senior Data Analyst
Duration: Direct Hire
Location: Chicago or Houston (Hybrid-2-3 days a week onsite)
Interview Process:
Video and In Person ( Chicago or Houston)
Compensation:
- Salary: $128k-135K per Year
- Bonus: 10% of annual salary
- Stock: 5% of equity of base salary
Required Experience:
- Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics)
- Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.)
- 5+ years in Data Analysis, Business intelligence, analytics, and data engineering, with 3+ of those years in a Fortune 500 company
- 3+ years in ecommerce platform improvement
- Experience putting together presentations for collaborators and leaders and interact with all levels of management
- Demonstrable ability to craft a vision, inspire the team towards that vision and provide support to achieve it
- Extensive experience in BI dash boarding (e.g. PowerBI, Tibco Spotfire, etc...) to produce meaningful, elegant dashboards
- Advanced Excel knowledge
- Experience analyzing ecommerce platforms for Web, Mobile App, Loyalty, Demonstrated experience in handling massive data sets and relational databases (SQL and Non-SQL)
- Ability to study/understand business needs, design data/technology metrics that connect business processes with quantifiable platform outcomes, Understand critical metric / Goal Settings
- Advanced level SQL skills
- Strong problem-solving skills, using data to tackle problems
- Outstanding writing, communication, and presentation skills
- Must be legally authorized to work in the United States for any employer without sponsorship
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
Bonus Experience:
- Master's degree preferably in Computer Science, Aviation Management or Operations Research
- Computer Science, Information Systems, aviation management or related degree, Operations Research , MBA
- Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g.Quantum Metrics
- 4+ years in a lead role
- Experience with DataDog / AppD / Kibana is a big plus
- Experience with Enterprise monitoring systems is a plus
- Experience with Palantir Foundry, Microsoft SQL Server Management Studio- no longer as critical
Day-to-Day Responsibilities:
Senior Data Analyst – IT is a data driven leader who has a passion for data, analytics, and program execution with the willingness to dig into details, with the ability to assess the big picture and focus on process improvement. Developing and maintaining solid relationships with key collaborators across Digital Channels, Personalization and Loyalty technology teams with a good understanding of the business, as well as collaborating with a dedicated team and being a problem solver are the keys to success in this role. This team would interpret data gathered from various sources and interpret patterns and trends and turn it into information which improves Operational Excellence (OX). This role requires a good communicator with passion for finding the signal in the data and ability to come up with improvements to applications and metrics to be measured. Should be comfortable enough to communicate with the developers, platform teams, business analysts, user experience and the leadership in influencing change based on the data. The team will partner with Digital Operations Center (DOC) on operational metrics. This role:
- Understands the digital performance of the applications/systems influencing the business functionality of applications/systems
- Understands the right questions to be asked on the platform data tied to the Digital Channels
- Develops streamlined and comprehensive data analytics work streams
- Areas of focus will include, but are not limited to: Data Visualizations; Application performance analysis; Error patterns, top factors contributing to errors; Identify, design, and implement internal process improvements: recommendations for performance and greater scalability; Modeling and coding of data
- With domain expertise, builds trusted data products including dashboards and reporting products to support Digital Channels, Personalization and Loyalty leadership that helps them make data driven decisions on application performance
- Collaborates with US and India Knowledge Center teams to develop dashboards
- Track new platform updates and application releases and processes and learn the existing application/systems to research system performance, dig into errors, response time, service logs, define new data collection and tagging, create universal dashboards
Communicate and share updates with leadership, along with putting together regular presentations
