At a Glance
- Tasks: Analyse data, create dashboards, and deliver insights to drive business decisions.
- Company: Nextlink, a leading telecommunications data analytics firm in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career development.
- Why this job: Join a dynamic team and make an impact with your analytical skills in a fast-paced environment.
- Qualifications: Strong SQL and BigQuery skills, plus experience in data modelling and telecommunications.
The predicted salary is between 54450 - 66550 £ per year.
London, United Kingdom | Posted on 09/03/2026
Nextlink is seeking an experienced Data Analyst with strong SQL and Big Query expertise, GIS data knowledge, and telecommunications domain understanding.
The ideal candidate is self-sufficient, stakeholder-facing, and capable of delivering semantic data models and analytical dashboards to support business decision-making.
Job Description
Role Overview
- Nextlink is seeking a highly skilled and experienced
- Data Analyst to join our team. The ideal candidate will possess strong expertise in
SQL, Google Big Query, data modeling, GIS data analysis, and telecommunications domain knowledge
This role requires a self-driven professional who can perform complex analytical investigations, design semantic data models, develop business intelligence dashboards, and work closely with stakeholders to deliver actionable insights that support strategic and operational decision-making.
The Data Analyst will collaborate with business, engineering, and data teams to ensure high-quality data solutions, effective reporting frameworks, and accurate interpretation of telecommunications and geospatial data assets.
Key Responsibilities
- Data Analysis & Insights
- Conduct ad-hoc data analysis, root cause investigations, and diagnostic assessments to identify trends, anomalies, and business opportunities.
- Deliver actionable insights and recommendations to technical and non-technical stakeholders.
- Perform data validation, profiling, and quality assessments to improve data accuracy and reliability.
- Data Modeling & Semantic Layer Development
- Design, develop, and maintain conceptual, logical, and physical data models.
- Create and manage semantic data models aligned with business requirements and reporting needs.
- Implement normalization and denormalization strategies to optimize analytical performance.
- Design and maintain Slowly Changing Dimensions (SCD) and time-series data models.
- Apply modern data architecture concepts, including Medallion Architecture, to analytical solutions.
- Develop, enhance, and maintain interactive dashboards and reports using
- Tableau and/or
- Looker
- Integrate reporting solutions with Google Big Query and other enterprise data sources.
- Ensure dashboard accuracy, usability, and alignment with business KPIs.
- Data Platform & Engineering Collaboration
- Partner with data engineering teams to validate data pipelines and outputs.
- Support data governance, quality monitoring, and optimization initiatives.
- Contribute to best practices for data management, documentation, and analytics delivery.
- Telecommunications & GIS Analytics
- Utilize telecommunications domain expertise to analyze network performance, operational KPIs, telemetry data, and asset lifecycle information.
- Work with GIS datasets, geospatial analytics, and location-based intelligence solutions.
- Leverage Big Query GIS functions and spatial data concepts to support business requirements.
- Stakeholder Management
- Collaborate with business leaders, product owners, and technical teams to gather requirements and translate them into analytical solutions.
- Present findings, insights, and recommendations clearly to diverse stakeholder groups.
- Manage multiple priorities in a fast-paced project environment while maintaining strong communication and engagement.
Requirements
- Required Skills & Experience
- SQL & Google Big Query
• Advanced proficiency in SQL including
- Window Functions
- Common Table Expressions (CTEs)
- Arrays and Structs
- DDL and DML operations
- User Defined Functions (UDFs)
• Strong understanding of Google Big Query including
- Partitioning and Clustering
- Query Performance Optimization
- Cost Management and Pricing Models (On-Demand vs Slots)
- Big Query IAM and Access Controls
- Experience working with Graph QL APIs and data extraction processes.
- Data Modeling
• Strong understanding of
- Data normalization and denormalization
- Conceptual, logical, and physical data modeling
- Slowly Changing Dimensions (SCD)
- Time-series data modeling
- Semantic layer design and development
- Medallion Architecture principles
- Proven ability to translate complex business requirements into scalable data models.
• Experience managing
- Buckets and object storage structures
- Storage classes and lifecycle management
- Retention and archival policies
- IAM-based access controls
- Git Lab
• Proficiency in
- Branch management
- Code commits and merge requests
- Version control best practices
- Repository maintenance and collaboration workflows
- Experience designing and developing business intelligence dashboards.
- Strong understanding of data visualization best practices.
- Ability to connect and optimize reporting solutions using Big Query data sources.
- GIS & Geospatial Analytics
- Knowledge of GIS concepts and spatial data processing.
• Experience with
- Coordinate systems and conversions
- Common GIS file formats
- Geospatial analytics
- Big Query GIS capabilities
Education & Experience
- Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
- 5+ years of experience in Data Analytics, Business Intelligence, or a similar role.
- Experience working in telecommunications and cloud-based data environments is highly desirable.
- #J-18808-Ljbffr
Data Analyst (DA) in London employer: NextLink Group
Join a dynamic and innovative team in Slough, where we prioritise employee growth and development in the field of upstream process sciences. Our collaborative work culture fosters creativity and encourages the use of cutting-edge technologies, providing you with unique opportunities to contribute to groundbreaking biologics research. With a strong commitment to quality and compliance, we offer a supportive environment that values your contributions and promotes continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (DA) in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NextLink Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst (DA) at NextLink Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NextLink Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst (DA) at NextLink Group, 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 Data Analyst (DA) in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NextLink Group, 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 NextLink Group. 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 NextLink Group
✨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!
✨Showcase Your Projects
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 NextLink Group!
✨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.
