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For Companies At a Glance
- Tasks: Design and implement advanced data analytics solutions in a collaborative, agile environment.
- Company: Join a leading firm focused on innovative data engineering and analytics.
- Benefits: Competitive salary, flexible working hours, 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 with strong technical skills in SQL and Python.
- Other info: Mentorship opportunities and a dynamic team culture await you.
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 employer: Westfield Specialty
Contact Detail:
Westfield Specialty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the hunt for a new role. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those involving complex data pipelines or visualisation tools like PowerBI. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled real-world data challenges and how you can contribute to building effective data solutions.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates who are eager to join our team and help us drive data innovation. Your next big opportunity could be just a click away!
We think you need these skills to ace Data Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Analytics Consultant role. Highlight your experience with data pipelines, ETL processes, and any relevant tools like Snowflake or PowerBI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled complex data challenges and collaborated with teams to deliver results.
Showcase Your Technical Skills: Don’t shy away from listing your technical skills! Mention your proficiency in SQL, .NET, and Python, and how you've used these in past projects to solve business problems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Westfield Specialty
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and technologies mentioned in the job description, like Snowflake, SQL, and PowerBI. Brush up on your knowledge of ETL processes and data pipelines, as you might be asked to explain how you would design or improve them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve used unstructured data to solve business problems and be ready to share your thought process. This will demonstrate your analytical skills and ability to think critically.
✨Collaboration is Key
Since this role involves working with various teams, be prepared to talk about your experience collaborating with data scientists, analysts, and other stakeholders. Highlight any mentoring experiences you have, as they’ll want to see your ability to develop talent within the team.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data strategy and future projects. Inquire about their current data challenges or how they envision the role evolving. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
