Responsibilities:
- Works with large datasets from multiple data sources – compile and clean data before it is analyzed, automating these processes when possible
- Creates data visualizations using available applications (e.g. Tableau, Metabase, Looker, MS Excel or any other visualization tools both commercial and open-source)
- Analyzes trends, determines accuracy and relevancy of data information using proper method and techniques and presents solutions as well as alternatives to issues when needed
- Applies inductive reasoning to combine separate pieces of information, or specific answers to problems
- Leverages literature (e.g. journal articles, white papers, etc.) and other publicly available data resources related to data requests to inform analysis when appropriate
- Prepares accurate and meaningful reports that describe and interpret findings of analyses for upper management decision making
- Produces reports that support strategic decision-making efforts. Understanding or willingly to understand highly complex insurance metrics and discussing the numbers with management team and other stakeholders
- Stay on top of the technology trends to be able to make use of different type of data efficiently
- Protects the confidentiality of customer records, information, and activities related activities as needed
- Managing the team of data analysts and grooming them both on technical knowledge and soft skills
Your Profile
- Strong attention to detail and accuracy
- Strong problem solving and critical thinking skills with effective follow through, analyzing information and evaluating results to choose the best solution to solve problems
- Interest in learning or having experienced in working with data within the insurance sector
- Eager to learn about financial modelling and financial accounting process
- Strong foundation and understanding in database, data architecture, database design, statistics and mathematics
- Ability to program using advanced and complex SQL queries
- Ability to work on modern data pipeline and architecture esp. on Databricks and AWS i.e. Redshift, RDS, S3.
- Ability to use data build tool like dbt
- Ability to perform advanced functions in MS Excel
- Aptitude to work with technical software such as Tableau, Metabase, Looker
- Ability to:
- Handle detail and constantly change between competing priorities
- Strategize and analyse the requirements to ensure high quality work is delivered
- Follow data confidentiality and security procedures
- Produce quality work under tight deadlines with strong attention to detail and accuracy
- Manage and prioritize multiple projects with varying deadlines
- Efficiently shift back and forth between two or more activities or sources of information
- Understand thoroughly the business domain in order to make useful analysis to support business decisions
- Function and make progress in an ambiguous atmosphere