Senior. Data Analyst (Remote)

The Snr. Data Analyst is a part of the Data and Analytics team which focuses on turning data into business value. The individual in this role will conduct full lifecycle data analysis including gathering requirements, wrangling data, building data models, designing visualizations, presenting stories, and has the experience in analytical data warehouses as well as in business intelligence tools.  Will work closely with business stakeholders and the data engineering team.

Responsibilities:

• Able to write complex SQL including multi-table joins, grouping and aggregation, common table expressions, and conditional filters
• Serve as a Subject Matter Expert (SME) in one or more data sources and its related Business Subject
• Lead four or more departmental data analytics projects from beginning to operationalization
• Provide mentorship for Junior and Intermediate members of the team to help them grow in their responsibilities
• Demonstrated proficiency in creating reports, data modeling, and dashboards in Looker.
• Able to write complex SQL including multi-table joins, grouping and aggregation, common table expressions, and conditional filters.
• Performs adhoc reporting, data extraction, and analysis
• Serve as a Subject Matter Expert (SME) in one or more data sources and its related Business Subject.
• Provide mentorship for Junior and Intermediate members of the team to help them grow in their responsibilities.
• Lead four or more departmental data analytics projects from beginning to operationalization.
• Demonstrated interpersonal and leadership skills required to interact with peers, management, and internal customers.
• Engage with stakeholders to understand business objectives and gather requirements
• Develops relationships by listening and understanding, anticipating, and providing solutions to business partner needs, and prioritizing customer satisfaction
• Develop documentation and provide training to users as appropriate.
• Participates in the daily stand-ups, project reviews, and retrospectives to update progress, highlight and resolve impediments.
• Work with cross functional stakeholders across Revenue, Marketing, Business Unit, Courseware, Finance, Product and Engineering to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.

Minimum Qualifications:

• BS or equivalent plus 8 years experience
• MS or equivalent plus 3 years experience
• Ph.D. or equivalent plus 2 years experience
• Degree specialized in a Science, Analytics, Technology, Engineering, Mathematics, Finance or Economics. 
• BS or equivalent plus 5 year’s experience / MS or equivalent plus 3 years’ experience / Ph.D. or equivalent plus 2 years experience
• Advance experience with SQL (across multiple platforms).
• Intermediate level knowledge of data warehousing, analytics, ETL concepts & best practices.
• Scripting experience a plus in Python, R, SAS, dbt (dbt a plus)
• Experience and working knowledge of JIRA Preferred.
• Basic understanding of Scrum, Lean, Agile, Kanban, Story points using Fibonacci and other agile development techniques.
• Basic knowledge of continuous integration / continuous delivery practices.
• Proficient in requirements gathering methodologies and the SDLC.
• Progressive experience with analysis, modeling, and visualization in Looker, Power Bi, Tableau, Domo, Qlik (Looker a plus). 

The base pay for this position ranges from $80,000 - $100,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.