Data Analyst

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Job Description

Responsibilities

Data Preparation and Cleaning

Work with large datasets from multiple sources, performing data cleaning, preparation, and transformation as needed.
Automate data preparation processes to improve efficiency and scalability.
Develop and maintain a business-friendly data catalog with detailed descriptions, support self-service analytics platforms, and ensure data quality and governance practices are followed to enhance data accessibility and reliability.

Data Visualization

Develop and maintain dashboards and reports to support strategic decision-making and track key performance metrics using tools like Tableau, Metabase, or Excel.

Data Analysis and Insight Generation

Analyze data trends and ensure accuracy and relevancy to address business questions or problems.
Identify actionable insights and recommend solutions that align with company objectives and drive measurable impact.
Research publicly available resources (e.g., journal articles, white papers) to enhance analysis quality and provide well-informed recommendations.

Reporting

Prepare accurate, concise, and meaningful reports that describe and interpret analysis findings to support decision-making by upper management.
Respond to and fulfill ad hoc data requests promptly, ensuring accuracy and relevance to support business needs.
Collaborate with stakeholders to clarify reporting requirements and ensure deliverables align with expectations.

Your Profile

Proficiency in SQL and working with data warehousing platforms like AWS Redshift and Databricks.
Experience with data transformation tools like dbt.
Experience with data visualization tools like Tableau or Metabase and a keen interest in improving user experience on self-service platforms.
Advanced proficiency in MS Excel, including Pivot Tables and Macros.
Optional programming skills in Python.
Strong critical thinking and problem-solving skills with a focus on root cause analysis and effective follow-through.
Ability to analyze information, evaluate results, and implement the best solutions to solve problems efficiently.
Strong attention to detail and accuracy, with the ability to produce quality work under tight deadlines.
Ability to manage and prioritize multiple projects with varying deadlines and shift efficiently between competing priorities.
Understanding of data governance and data management principles, with an emphasis on data quality and accuracy.
Excellent communication skills to collaborate with cross-functional teams and explain technical concepts to non-technical audiences.
Interest in working with data within the insurance industry and learning mapping or related software.