Business Data Analyst

About Mission

At Mission, we unite talented underwriters, smart infrastructure, and capital to launch and scale specialist MGAs. Our model gives brokers instant access to sharp, responsive underwriting teams who deliver tailored solutions without the red tape.

Overview

We are looking for a Business Data Analyst to join our Mission UK/Europe Digital and Technology team, providing creative digital input to our team of underwriters. You will work with an amazing team, to shape the future of our underwriting business.

As a Business Data Analyst, you will perform various functions, which primarily involve providing data, reports, and analyses in support of our plan to facilitate data driven decision-making. You will be a key asset to our UW teams, our Finance/Ops team, and Executive Management team.

You will need to be comfortable working in a start-up, fast-paced environment.

What you'll do

• Define and deliver metrics, reporting platforms, dashboards, and analytical models vital for tracking and managing the business
• Collaborate with team members to identify business challenges and initiate process improvement projects
• Facilitate the computerization of analytics and data collection processes
• Provide analyses for datasets necessary for decisions using actionable insights. Define vital data performance indicators.
• Collaborate with Sales, Tech, Operations, to build scalable processes and metrics
• Responsible for carrying out complex analysis of datasets and conduct appropriate data validation
• Responsible for gathering and cleaning of datasets across multiple data sources
• Provide information on analytic results to business and functional leaders using visualizations to communicate data and metrics, including data maps, etc.
• Support the development and maintenance of our internal ETL processes

Qualifications

• Data Analysis - Proficient knowledge of Tableau, Power BI, Domo, Qlik or other business Intelligence tools.
  Advanced proficiency in Microsoft Excel and PowerPoint. Solid working knowledge of data management best practices and experience implementing and maintaining them.
• You must be able to define problems, collect data, establish facts, and draw valid conclusions.
• Python – Proficiency in Python for data analysis, scripting, and automation.
• SQL - Proficiency in SQL and experience working with SQL Server.
• Data Engineering – Experience in cleansing, transforming and validating data for reliable analysis
• Agile methodologies and tools – experience in using Agile and working in an Agile program.
• Insurance knowledge - Understands the fundamentals of acquiring and administering commercial.
  Insurance and claims processes/services. Knowledge of business key performance indicators (KPIs) with a preference in KPIs for the risk, insurance, and claims industry.
• Technology - Working knowledge of insurance technology (policy and program admin systems)
• Communication - Excellent verbal communication skills to be able to explain technical concepts and procedures to non-technical users.
• Detail-oriented - you are responsible for the accuracy and integrity of data, so it is important that they pay deliberate attention to data input and output to ensure accuracy and validity.

Attitude

• You love data and solving problems
• You have a can-do attitude. We are a small team and no job is too small for anyone
• You are flexible in your working style and enjoy working between IT, Operations, and Underwriting Programs is required.
• You are self-motivated. You are happy to work independently, organize your time/work and effectively work in collaboration with others.

Experience:

• A 2:1 or above (or equivalent) degree in Mathematics, Physics, Statistics, Data Science, Economics, Engineering or a related STEM field.
• 3+ years of Business Data Analyst experience ideally in the Insurance industry.
• High-level experience in methodologies and processes for managing medium to large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.

Additional Information
This is a hybrid position, attendance to our London office will be required on a regular basis (2 days per week).

You must live in the United Kingdom and be authorized to work in the United Kingdom without requirement of employment sponsorship/visa.