Senior Data Analyst

Senior Data Analyst

Responsibilities

• Leading the data analytics team to collect, clean, and validate data from multiple sources.
• Managing the development and implementation of data analysis frameworks and methodologies.
• Overseeing the creation of complex reports and dashboards to present actionable insights for stakeholders and senior leadership.
• Designing and implementing data models and data structures to support analytics and reporting needs.
• Developing data models to identify trends, performance metrics, and key business drivers.
• Ensuring data integrity through effective governance, quality control, and error resolution processes.
• Collaborating with various departments to understand business needs and translating them into analytic deliverables.
• Managing new partner and product launches from the BI team, ensuring analytics align with business goals.
• Coaching and mentoring team members to enhance their data analysis, report-building, and data modeling skills.
• Creating documentation for analytics processes, methodologies, data management protocols, and complex reporting structures.
• Staying current with industry trends and introducing new tools, techniques, or processes to enhance the team’s capabilities.
• Upholding data privacy and security standards in compliance with regulations.

You will require the following qualifications and skills

• Bachelor’s degree in

  Data Science, Business Analytics, Computer Science,

  or a related field (Master's preferred).
• 5+ years of experience in data analytics is a must.
• Experience in the

  insurance business

  is a plus.
• Proven experience in managing new partner and product launches from the

  BI team

  .
• Expertise in statistical analysis, data modeling techniques, and complex report generation.
• Proficiency in

  SQL, Python

  , and data visualization platforms (e.g.,

  Power BI, Tableau

  ).
• Solid understanding of

  data governance and privacy

  best practices.
• Experience

  designing and implementing data models

  and complex reporting structures.
• Ability to manage multiple priorities in a fast-paced environment with a high level of detail orientation.
• Strong communication skills and ability to influence stakeholders at all levels.