Senior Data Analyst

The Transaction Operations Lean Process Excellence team is looking for a Senior Data Analyst to drive reporting and data analytics initiatives within the Regional Operations team that make the organization more efficient, more effective, and more profitable. This role involves partnering with a broad scope of stakeholders to design, build, and implement data analytics tools in an operational environment. This individual will thrive in a high-growth, collaborative, dynamic environment and will create an environment that is relentlessly focused on building robust, accurate, and user-friendly tools and dashbaords. This is a full-time position that will report directly into the Director of Lean Process Excellence, Analytics, and Reporting.

If you are passionate about building and using data to drive efficiency and effectiveness, we’d be thrilled to have you

At Compass You Will:

• Work with complex data sets to architect and validate accurate solutions for tracking long-term performance of teams and individuals and prioritize work.
• Collaborate with a broad set of stakeholders to define and align on functional requirements that capture the voice of the customer and the voice of the process.
• Analyze trends in data to suggest actions for improving/adherence to Key Performance Indicators and Service Level Agreements.
• Build compelling and impactful visualizations and artifacts using tools such as Microsoft Power BI to empower end users to self-serve and use data in their day-to-day processes.
• Collaborate with other Data Scientists and Project Managers to ensure consistency in Suite of reporting and good user experience.
• Contribute to a data-driven culture focused on leveraging data insights for key strategic and tacitcal decisions.
• Collaborate with central Business Intelligence and Data Quality teams to ensure adherence and contribute to data governance, data hygiene, and data quality.

What We Look For:

• 3 years of relevant industry experience in a technical engineering and/or analytics capacity
• Proven experience working with business users to translate requirements into scalable assets that deliver actionable insights and enable self-service analysis
• Advanced SQL, DAX and data modeling skills
• Proficient programming skills in data transformation and preparation using SQL and/or Python
• Proven experience in data wrangling and developing visualizations with tools such as Tableau, Power BI, Looker, etc
• Experience working with cloud-based data lakehouses (e.g Databricks, Redshift)
• Strong understanding of data modeling and software engineering best practices
• Preferred experience with a programming language (Python, PySpark, R, Scala, etc)
• Growth mindset, self-starter with a desire to continually learn and improve
• Team player, willingness to work within a collaborative team environment
• Passion for solving challenging, complex problems in a fast-paced & sometimes ambiguous environment

Compensation:

The base pay range for this position is $85,800 - $128,800 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.