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For Companies At a Glance
- Tasks: Design and implement advanced data analytics solutions to empower business decisions.
- Company: Join a leading firm in data analytics with a focus on innovation and collaboration.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 7+ years in data analytics and a degree in a related field.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
The Data Engineering Consultant, working independently under limited oversight, empowers the organization through architecting, designing, and executing advanced analytics capabilities. In an agile team setting, they collaborate with data scientists, data analysts, and product teams to translate business needs into technical specifications and develop complex data pipelines. This role sets the strategic and technical direction for data capabilities, designing pipelines for data extraction, transformation, and loading from diverse sources. They handle large, complex data sets, solve business challenges using unstructured data, and act as a subject matter expert, mentoring less experienced Data Engineers. The focus of this role within the exposure engineering team is the build out of data products that integrate exposure data and modelled-loss outputs, and the publishing of certified datasets and dashboards that enable the business to visualize and manage its enterprise exposures in line with risk appetite.
Job Responsibilities
- Responsible for designing, maintaining and implementing the overall strategic vision for acquisition, storage and consumption of data, particularly in their specific area of focus in collaboration with other technical leads, Solution Architects, Enterprise Architects and Security/Risk/Audit resources.
- Responsible for building technical roadmaps that contain long-term design that are securely engineered to provide or support high quality data services to the business.
- Designs and builds solutions based on strategic vision, user needs, best practices, and tool capabilities in collaboration with business stakeholders, IT resources and Architects.
- Assists with preparing and reviewing estimates and distributing work across the team, including enhancements, production support and on-call responsibilities.
- Helps develop talent and build effective teams through coaching, mentoring, feedback and training.
- Designs, builds, and maintains custom data pipelines and ETL processes in support of business and Data Scientist needs and initiatives.
- Populates data warehouses, and data marts to meet demand for data across the organization using traditional data integration technologies including, ETL, and data replication/CDC.
- Builds and maintains API / C# .NET connectors for model vendor integrations.
- Enables data consumption via visualization tools and underpinning semantic models (e.g. PowerBI).
- Implements geospatial roll-ups for visualization heatmaps (using H3/hex-grid functions).
- Applies loss-modelling business logic for property (catastrophe), casualty and cyber business.
- Partners with data analysts, data scientists, and other data consumers across IT and the business to optimize data availability with intention to build, refine and enhance AI/ML models and algorithms.
- Drives continuous improvement in data pipelines and data warehouses and partners with others to ensure both timely availability and security of data.
- Provides on-call support daily operations via analyzing and correcting incidents and defects in a timely fashion.
- Serves as a peer mentor to less experienced Data Engineers.
- Coordinates and directs work assignments.
Job Qualifications
- 7+ years of Data Analyst experience.
- Bachelor's degree in Information Technology, Computer Science, Engineering, Mathematics or related field or commensurate experience.
- Experience in P&C (re)insurance risk analytics with cat-modelling exposure/results data familiarity (AIR/RMS).
Behavioral Competencies
- Collaborates
- Communicates Effectively
- Customer Focus
- Decision Quality
- Nimble Learning
Technical Skills
- Snowflake (Streams/tasks, snowpipe, performance tuning)
- SQL
- .NET (C#)
- API Development (REST, JSON)
- PowerBI
- Data analysis
- Data Modeling
- Data Engineering
- Python
- DevOps
Data Analytics Consultant in London employer: Westfield Specialty
Contact Detail:
Westfield Specialty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Consultant in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data analytics game. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those that highlight your experience with data pipelines, ETL processes, and visualisation tools like PowerBI. This will give potential employers a taste of what you can bring to the table.
✨Ace the Interview
Prepare for your interviews by brushing up on common data analytics questions and scenarios. Be ready to discuss your past experiences, particularly how you've tackled complex data challenges. Remember, it’s not just about technical skills; they want to see how you collaborate and communicate with teams.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and genuinely interested in joining our team.
We think you need these skills to ace Data Analytics Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics Consultant role. Highlight relevant experience, especially in data engineering and analytics, and don’t forget to showcase your skills in SQL, Python, and PowerBI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how your background aligns with our needs. Be specific about your experience with data pipelines and collaboration with teams.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or using advanced analytics, we want to see how you've tackled real-world challenges.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Westfield Specialty
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description, like Snowflake and SQL. Brush up on your experience with ETL processes and data pipelines, as you’ll likely be asked to discuss specific projects where you’ve implemented these skills.
✨Showcase Your Collaboration Skills
This role involves working closely with data scientists and product teams, so be prepared to share examples of how you’ve successfully collaborated in the past. Highlight any experiences where you’ve translated business needs into technical specifications, as this will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Prepare for Technical Questions
Expect to face some technical questions or even a practical test during your interview. Review key concepts related to data modelling, API development, and loss-modelling business logic. Being able to articulate your thought process while solving a problem can really set you apart.
✨Demonstrate Your Mentoring Experience
Since mentoring less experienced Data Engineers is part of the role, think of instances where you’ve guided others. Be ready to discuss your approach to coaching and how you’ve helped team members grow their skills, as this shows you’re not just a technical expert but also a team player.
