Data and Analytics Analyst
Credible
Full time
Software Development
United States
Hiring from: United States
- Partner with functional leaders to set analytical agendas that underpin discussions of strategic initiatives, owning
- 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.
- 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
- 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.
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