Technical Data Analyst (Fully Remote) in London

Technical Data Analyst (Fully Remote) in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse complex insurance data and develop robust data models for impactful decision-making.
  • Company: Gallagher, a global leader in empowering businesses and communities.
  • Benefits: Competitive pay, comprehensive benefits, career development, and a people-first culture.
  • Other info: Fully remote role with flexible working arrangements and excellent growth opportunities.
  • Why this job: Join a dynamic team to shape high-quality data products and make a real impact.
  • Qualifications: 2 years of data analysis experience with SQL, Snowflake, and dbt skills.

The predicted salary is between 63000 - 77000 £ per year.

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what's right.

We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive.

Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you'll have the opportunity to grow your career, make an impact, and be part of something bigger.

Overview We're looking for an experienced Technical Data Analyst to join our Data Technology team.

This is an exciting opportunity to help shape and deliver high-quality data products that support reporting, analytics, regulatory requirements and business decision-making across our organisation.

Working at the intersection of business and technology, you'll partner with Data Engineers, Architects, Product Owners and key stakeholders to analyse complex insurance data, develop robust data models and ensure trusted datasets are delivered across our modern cloud data platform.

This role is ideal for someone who combines technical expertise with a genuine interest in solving business problems through data.

You'll be comfortable working hands-on with SQL, Snowflake and dbt, while translating business requirements into scalable technical solutions.

This role is not a senior position and would suit so would suit a data professional who has two-years experience and is looking to take the next step in their career.

We other hybrid working and the expectations is to be in London 3 days a week.

How you'll make an impact Data Analysis & Modelling Analyse complex insurance datasets across policy, claims, underwriting, finance and regulatory domains.

Develop logical and physical data models to support reporting, analytics and operational processes.

Define, document and maintain business and technical data definitions.

Conduct data investigations and root-cause analysis to identify issues and support remediation.

Perform source-to-target mapping and validate transformation logic across multiple systems. Data Platform Development Develop and maintain data transformation pipelines using dbt.

Build, test and optimise scalable data models within Snowflake.

Collaborate with Data Engineers to improve data platform performance, reliability and scalability.

Data Quality & Governance Design and execute data quality checks, reconciliations and validation controls.

Validate source-to-target mappings and transformation requirements.

Support data governance activities, standards and metadata management practices.

Investigate and resolve data quality issues across multiple source systems. Technical Delivery Translate business requirements into effective data solutions.

Contribute to the design and delivery of data products and analytical services.

Collaborate with technical and business teams to ensure data products are fit for purpose and aligned to organisational objectives.

Source to target mapping experience and advanced SQL writing ability Technical ability to reconcile data between source and target data sets using SQL and or Excel Problem solving ability to trace data discrepancies back to source to identify root cause Ability to trace data flows through data structures using various ETL toolsets including SQL, SSIS, Power BI, Snowflake, DBT to define data lineage Previous experience and an understanding of Policy / Claims data elements would be a preference.

Knowledge of data warehouse principles i. e.

Dimensional modelling, Kimbal, Start Schemas, incremental loading, master data management etc Understanding and ability to profile data and identify Data Quality issues Requirements gathering and analysis skills Compensation and benefits At Gallagher, we believe supporting our colleagues goes far beyond the role itself.

Competitive compensation Comprehensive benefits programs designed to support your well-being Career development opportunities and ongoing learning A collaborative, people-first culture with accessible leadership The opportunity to do meaningful work with global reach and local impact At Gallagher, we are dedicated to building an inclusive and authentic workplace.

If your past experience doesn't align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities.

Although this role is listed as full-time, if you're in a job-share partnership, work reduced hours, or have any other flexible arrangement, please still get in touch.

Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)

Technical Data Analyst (Fully Remote) in London employer: Arthur J. Gallagher & Co.

At Gallagher Benefit Services, we pride ourselves on being an exceptional employer that champions a collaborative and people-first culture. As a Business Development Director in our Change & Transformation practice, you'll enjoy competitive compensation, comprehensive benefits, and ample opportunities for career development while making a meaningful impact on businesses and their employees. Join us in a dynamic environment where your ideas are valued, and you can thrive alongside a community of trusted experts and bold explorers.

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Contact Details:

Arthur J. Gallagher & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Data Analyst (Fully Remote) in London

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When you find a suitable opening like Technical Data Analyst (Fully Remote) at Arthur J. Gallagher & Co., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Technical Data Analyst (Fully Remote) in London

Communication Skills
Python
SQL
Data Quality Assurance
Problem-Solving Skills
Data Pipeline Development
Data Governance

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 Arthur J. Gallagher & Co., 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.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Arthur J. Gallagher & Co.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Arthur J. Gallagher & Co.

✨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

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✨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.