Senior Data Analyst

Workrise is hiring a Senior Data Analyst to act as an expert in understanding the organization's data, working with stakeholder groups to create dashboards, visualizations, algorithms, and business tools for use across the organization. This includes aiding various teams in drawing insight from our data by researching, compiling, and analyzing data and preparing various reports for distribution.

Why Join Us? 

Our Analytics team at Workrise sits within Product & Engineering, driving company level decision-making and operations strategy through objective analysis. Our key partners are company level executives, core functions on the business side and data engineering. We are responsible for providing accurate, reliable and accessible business metrics as well as contextualizing operational performance through advanced analysis.

What you’ll be doing:

• Scalability and Quality of Solutions:
  
  • Build data visualizations and analysis in mediums including, but not limited to, Tableau dashboards, python notebooks, and repeatable shareable analysis
  • Identify and share data insights around the observations found from data exploration and analysis
  • Create recommendations and next steps based on the analysis for changes the business, product or other teams request
  • Collaborate with product, data, and engineering teams to establish scalable data infrastructure and data governance
    
    • Create and iterate on reporting dashboards and modeling through a data visualization software, ensuring the right data and insights to cascade to the team(s)
• Business Trends and Mentoring:
  
  • Stays up to date on current and emerging industry trends and best practices in the marketplace, especially in data analysis trends, methods and processes
  • Makes recommendations to management regarding programs, processes, etc. 
  • Provides support and mentors others on the team, sharing insights, knowledge, and experience
  • Serves as a subject matter expert for business partners across the organization
• Roadmap Support, Project Management and Documentation:
  
  • Partner with stakeholders to support the analytics roadmap to improve the company wide availability, speed, and quality of data and analysis
  • Own projects from start to finish, engaging with internal and external stakeholders to understand business challenges
  • Works with the Analytics and Data Engineering tims to help inform of end user requirements and transformations needed to help solve business problems
  • Documents processes and standards other analyst can easily use and emulate
  • Work with Data and Analytics leadership to identify and resolve problem areas and opportunities for improvement

Experience and Education Requirements:

• Bachelor’s degree in a technical field or equivalent practical experience
• 5+ years of years of proven experience in business analytics, business intelligence or comparable role
• Expert proficiency in SQL/Python with a proven ability to aggregate, gather and manipulate data
• Demonstrated knowledge and experience working with large and disparate data sets, including data collection processes, data analysis, and writing reports on findings of the research
• Significant experience with creating & presenting management dashboards and reports in data visualization/business intelligence tools (e.g. Tableau, PowerBI, Hex, etc.)
• Effective communication skills, both written and verbal, as well as the ability to develop concise and effective presentations tailored to specific audiences at all levels of the organization
• Strong organizational, planning, quantitative and analytical skills; strategic and creative thinking with keen business judgment, focus, and ability to see the "big picture"
• Comfort in a dynamic, fast-moving, Agile, and matrix work environment

Additional experience preferred, but not required:

• Experience with Scrum or Kanban development methodologies
• Experience with utilizing code repositories (ie. github)
• Contributions to building data pipelines
• Exposure to advanced analytics techniques, ie. machine learning

Essential Job Functions:

• Regular, on-time attendance
• Ability to travel 10% of the time
• Ability to communicate effectively
• Ability to use office equipment such as a computer, copier and telephone
• Ability to use office computer programs such as e-mail, Google Docs, Microsoft Word, PowerPoint and Excel
• Constantly remaining in a stationary position, often standing or sitting for prolonged periods
• Ability to manipulate office equipment such as a computer, copier and telephone