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Enumerate

Enumerate is hiring: Senior Data Analyst in Clearwater

Enumerate, Clearwater, FL, US


Job Description

Job Description
Description
We are seeking a Senior Data Analyst to join our team at Enumerate. As a Senior Data Analyst, you will be responsible for interpreting complex data, analyzing trends, and providing actionable insights to guide decision-making across various departments. You will work closely with stakeholders, including business leaders and technical teams, to create data-driven solutions that improve business performance. This is a remote role with travel anticipated 5% of the time for trainings and team events.


Key Responsibilities
  • Analyze large datasets to extract meaningful insights and present findings in clear, actionable reports. 
  • Create dashboards and visualizations to track key performance indicators (KPIs) and business metrics.
  • Develop and maintain predictive models, algorithms, and other analytical tools to provide insights into future trends and help the business optimize its strategies.
  • Work with cross-functional teams to understand their data needs and provide data-driven solutions. 
  • Communicate complex data concepts to non-technical stakeholders.
  • Ensure the accuracy, consistency, and integrity of data across various platforms.
  • Monitor data quality and troubleshoot any data-related issues or discrepancies.
  • Identify opportunities for process improvements and automation in data collection, reporting, and analysis. 
  • Recommend best practices for data management and analytics.

Skills, Knowledge and Expertise
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Business, or a related field (Master’s preferred).
  • 4+ years of experience in data analysis
  • SaaS industry experience required, Payments industry experience preferred
  • Proficiency in data analysis tools and languages such as SQL, Python, or similar
  • Experience with data visualization tools such as Tableau, Power BI, or Looker
  • Experience with cloud-based analytics tools (e.g., AWS, Google Cloud, Azure).
  • Strong knowledge of data modeling, statistical analysis, and machine learning techniques.