As an insurance company, data is at the core of everything we do in our client platform.
Data and analysis are critical to improving insurance design, underwriting, and outcomes for our clients. Data also drives our business operations and our financial decisions. As a Senior Data Analyst , you’ll have the unique opportunity to build the foundational data structure, tools, and models to help all of our functions become increasingly data-driven. You will be part of the Analytics team and sit cross-functionally, working closely with the data team, finance, biz ops, and product managers who work across all our functions.
You will work with our teams + stakeholders to build and maintain key data sets and dashboards, and be the go-to person when we’re looking to do deep analysis or answer thorny data-driven business decisions; you’re dogmatic in chasing down the answer, even when it isn’t easy.
Working hours: We expect full-time-employees to be online and accessible between the hours of 5:30PM-8:30PM CEST
responsibilities :
Develop an advanced understanding of our client business model and its drivers, with a deep focus on a business unit
Conduct Discovery with cross-functional stakeholders to identify data and metrics they need to solve their business problems
Collaborate with Engineering, Data Engineering, Product, and relevant teams on data instrumentation
Propose standardized definitions of data and metrics and get buy-in from stakeholders
Develop analytical framework, single-source-of-truth data sets, and dashboards (in Mode) to empower stakeholders to perform their own analysis
Grit: you are goal-oriented, purpose-driven, and are perseverant about achieving their goals, even in the face of adversity
Lead projects end-to-end from discovery to activation and post-launch in collaboration with a cross-functional team of Engineering, Product, Insurance, GTM, etc.
Clearly documenting data models with source, description, and field definitions for better collaboration, maintainability, and usability
Serve as an evangelist for the product solution in question, including alignment with cross-functional stakeholders
Tie goals back to business metrics such as written premium, conversion rates, or top-of-funnel growth.
requirements-expected :
3-6 years of experience working as a data analyst, data scientist, consulting, banking, or equivalent quantitative analytical role
Bachelor’s or advanced degree in statistics, math, economics, computer science, finance, or equivalent practical experience
Expert SQL skills and experience with BI tools (Mode, Tableau, Looker, Qlikview, etc.)
Experience with data transformation tooling (dbt is preferred)
Strong communication skills and the ability to explain complex concepts to both technical and non-technical audiences; you can explain concepts to the leadership team or the BDR team and level set appropriately
Experience working directly with business teams to define metrics, analyze problems, and propose solutions
Are excited to dig into our business processes to understand how data is generated
Are eager to learn new tools and improve your technical skill set
Have empathy with our clients and internal partners
Are comfortable with multi-stakeholder environment and context-switching
Take initiative in problem-solving and chasing down solutions
Exceptional communication and collaboration skills, with the ability to lead cross-functional meetings and drive consensus among stakeholders
Strategic thinking and a deep understanding of business drivers, with the ability to translate business requirements into actionable data strategies
1+ years of professional experience with Python or R
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
