Operations Data Analyst- Insurance Remote
GE Aerospace
AzurePythonSQLTableau
Salary
💰 £32,000 - £43,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AzurePythonSQLTableau
About the role
- Work alongside Product Data Analyst and Engineering to extend Dayshape analytics solution
- Develop mechanisms to obtain customer analytics with Product and Engineering
- Create, develop and maintain customer-facing reports, dashboards and insights identifying trends, risks and opportunities
- Connect with stakeholders and customers and deliver presentations on the narrative of the data
- Identify opportunities to improve customer experience, streamline service delivery and optimise outcomes through data-led recommendations
- Collaborate with internal teams to turn data insights into product and business improvements
- Support Marketing and Sales with relevant data for marketable messaging and value propositions
- Assist in development of KPIs across breadth, depth, usability, frequency and sentiment measurements
- Deep dive into customers use of Dayshape application and uncover insights regarding their business performance to drive customer success and growth strategies
- Share insights via intuitive dashboards and reports
- Work closely with Product, Engineering, Customer Success, Sales, Marketing and Support
Requirements
- Proven track record in data analytics, analysis and visualisation
- Strong SQL and data visualisation skills
- Comfortable using tools such as Excel, Power BI, MS Fabric, Tableau, SAP BI, Azure data explorer, and Azure Data Lake Store
- Experience working in or with professional services firms
- Comfortable with uncertainty and working in ambiguous environments
- Excellent communication skills, with ability to present complex data clearly
- Comfortable discussing technical concepts and appreciation of engineering fundamentals
- Ability to operate both independently and in collaborative teams
- Natural curiosity and passion for learning new skills and technologies
- Strong collaboration skills to work with data analysts, product managers, engineers, and customer success representatives
- Keen attention to detail to spot patterns, trends, and anomalies
- Proactive problem-solver who can improve data analysis processes and reporting methods
- Passionate about delving into the detail
- (Bonus) Experience working with complex enterprise software applications
- (Bonus) Knowledge of Microsoft Azure, SQL, Kusto, Python
