Data & Analytics Analyst

• Partner with functional leaders to set analytical agendas that underpin discussions of strategic initiatives, owning

related analytics development supporting the cross-functional workstreams.

• Apply innovative analytics methodologies to accelerate performance of every function of the business, including customer & marketing, organic revenue growth, operational cost optimization, and inorganic value creation. 

• Define KPIs, measure their performance, and design the data models that support reporting them; partner with the data engineering team to scope data pipelines and define data governance processes.

• Design, build, and iteratively enhance scalable and action-oriented analytical, operational, and executive dashboards.

• Proactively recommend business opportunities and inform decisions in the process of uncovering and communicating insights on performance trends, with a deep focus on identifying root causes.

• Deliver analytics training and adoption programs; use stakeholder feedback to refine tools and processes. 

• Expand best practices for designing and implementing analytics products and teach the broader analytics team how to leverage new analytical frameworks.

• Support performance reviews among functional stakeholders, reviewing hospital dashboards with new KPIs.

Requirements

• 3+ years of data & analytics experience.

• Excellent analytical skills with the ability to translate business questions into technical solutions and broaden business question-asking based on technical knowledgeability.

• Experience developing data management and analytics scripts in Python and SQL.

• Ability to develop production-ready analytical tools in Power BI.

• Aptitude for learning cutting-edge analytical and technologies right fit for evolving business applications.

• Highly organized, accurate, detail-oriented, and takes pride in the quality of their work.

• Ability to manage workstreams with cross-functional stakeholders.

• Acumen and intellectual curiosity to learn the business and understand growth drivers.

• High energy, humble team player with “get it done” attitude, and exceptional communication skills

Preferred Qualifications

• Familiarity with Databricks or similar Apache Spark-based tools.

• Comfort using git and workflow management tools, such as GitHub or equivalent.

• Background in statistical modeling or machine learning.

• Working knowledge of Microsoft Excel and Office 365.

Last updated on Jun 21, 2024