At a Glance
- Tasks: Analyse large datasets, create insightful reports, and optimise data workflows.
- Company: Dynamic organisation focused on innovative technology and exceptional customer experiences.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
- Why this job: Join a team that leverages data to drive impactful decisions and enhance member experiences.
- Qualifications: Experience in data analysis, Power BI, and SQL; certifications in relevant technologies preferred.
The predicted salary is between 75000 - 75000 £ per year.
Job Purpose
The Data Analyst will play a pivotal role in ensuring the integrity, accessibility, and usability of our data systems while contributing to the broader strategic goals of the organisation and will report to the Data Architect.
The directorate delivers outstanding services to members, customers and the wider sector through a modern, customer-centric approach.
By leveraging innovative technology, it provides an exceptional customer and member experience; harnesses the power of data to generate meaningful insights that create value for the Institute and its members; and delivers impactful programmes of work that drive sustainable value, operational excellence and meaningful outcomes for stakeholders.
Vacancy
Data Analyst/Engineer • Hybrid, London - City • Full time, 12 Month FTC • Salary: Up to £75,000
Key Responsibilities
- Data Analysis and Reporting
- Conduct detailed analysis of large datasets to identify trends, anomalies, and actionable insights.
- Collaborate with business units to understand data requirements and deliver solutions that align with their goals.
- Ensure data models support accurate and scalable reporting, by configuring data integrity exception models and insights
- Develop and maintain Power BI dashboards, reports, and visualisations to provide insights for stakeholders.
- Data Engineering
- Assist the Enterprise or Data Architect in designing, building, and maintaining scalable ingestion data pipelines for the integration of diverse systems.
- Optimise data workflows and processes to ensure efficiency and reliability.
- Collaborate on database design and support database optimisation to enhance performance and scalability.
- Data Governance and Compliance
- Support the implementation of data governance frameworks to ensure data quality, consistency, and regulatory compliance.
- Work alongside the Data Architect to ensure data security measures align with GDPR and organisational policies.
- Monitor and maintain data accuracy through validation processes and cleansing activities.
- Assist in the management of data subject access requests and breach notifications, as needed.
- Work with DPO to build Records of Processing Activity
- Assist the Data Architect with building data flow maps for business processes
- Collaboration and Stakeholder Engagement
- Work closely with the Data Architect to align data solutions with strategic organisational goals.
- Collaborate with IT, project managers, and business analysts to support data-driven projects and ensure effective data utilisation.
- Work with business stakeholders to ensure effective data process maps are established for "as is" and "to be" states.
- Train business users on self-service analytics tools, including Power BI, to promote data literacy across the organisation.
- Innovation and Continuous Improvement
- Identify opportunities to enhance data processing and reporting capabilities using modern tools and technologies.
- Stay up-to-date on emerging trends and best practices in data analysis, engineering, and visualisation.
- Proactively suggest and implement improvements to current data workflows and reporting processes.
Educational Background
- Required, certifications in Power BI, Azure, Data Analytics or related data technologies
- Desirable bachelor's degree in data science, Computer Science, Mathematics, Statistics, or a related field.
Essential Skills And Experience
- Proven experience in data engineer and analysis and reporting, including advanced Power BI / MS Fabric/Power platform skills.
- In-depth knowledge of SQL for querying and managing relational databases.
- Hands-on experience with ETL/ELT processes, data pipelines, and database technologies (e. g., SQL Server, Azure SQL, My SQL, DB2).
- Hands-on experience with big data technologies
- Knowledge of data modelling and schema design for both structured and unstructured data.
- Strong knowledge of GDPR compliance and data governance best practices.
- Proficiency in integrating and working with various systems, including CRM and ERP platforms such as Microsoft Dynamics 365.
- Experience working in Agile and Dev Ops environments
Desirable Skills
- Basic understanding of cloud data management services (e. g., Azure, AWS).
- Knowledge of data migration processes and legacy system integration.
- Personal Attributes
- Strong analytical and problem-solving skills with a keen eye for detail.
- Excellent communication and interpersonal skills for cross-functional collaboration.
- A proactive mindset, able to manage multiple priorities in a dynamic environment.
- A commitment to delivering high-quality results while ensuring compliance and data security.
- Interview Process
We understand that taking time to prepare for and to attend interviews is a big commitment and want the process to be as transparent as possible.
- A short, introductory phone call from our Talent Acquisition team.
- A formal 1st Stage Teams interview with the representatives of Data and Business Solutions & Programme Delivery teams.
- A formal 2nd Stage (Teams/In-person TBC) interview with leadership representatives of the Business Solutions & Programme Delivery Team.
- Application Deadline
We will review applications on a rolling basis, and the position will close once we have secured a shortlist.
We are an inclusive employer and welcome applications from all backgrounds.
If you require any reasonable adjustments during the recruitment process, please let us know.
We are committed to ensuring all candidates have equal access and opportunity, in line with the Equality Act 2010.
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Data Analyst/Engineer employer: Chartered Insurance Institute
As a Technical Project Manager at our London-based organisation, you will thrive in a dynamic and inclusive work culture that prioritises employee growth and development. We offer competitive salaries, flexible hybrid working arrangements, and opportunities to lead impactful technology projects that enhance educational experiences. Join us to be part of a forward-thinking team that values innovation and collaboration, ensuring your contributions make a meaningful difference in the education and membership sectors.
Contact Details:
Chartered Insurance Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst/Engineer
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We think you need these skills to ace Data Analyst/Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Chartered Insurance Institute, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Chartered Insurance Institute
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Chartered Insurance Institute!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
