At a Glance
- Tasks: Analyse data to improve network performance and customer service in the ISP sector.
- Company: Join a forward-thinking ISP company focused on technology and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on career development.
- Why this job: Make a real impact by driving strategic decisions with your data insights.
- Qualifications: Experience in data analysis, especially in ISP or telecom environments.
We are seeking a detail-oriented and analytical Data Analyst with experience in the ISP sector to join our growing team. The ideal candidate will be responsible for collecting, interpreting, and analyzing data related to network performance, customer usage, service delivery, and operational efficiency. Your insights will help drive strategic decisions, improve service quality, and optimize business processes.
Key Responsibilities:
- Analyze large datasets from network systems, CRM platforms, and customer usage logs.
- Monitor and report on key performance indicators (KPIs) such as uptime, latency, bandwidth usage, and customer churn.
- Develop dashboards and visualizations to communicate trends and insights to technical and non-technical stakeholders.
- Collaborate with engineering, customer service, and sales teams to identify data-driven improvements.
- Perform root cause analysis on service disruptions and recommend corrective actions.
- Support forecasting, capacity planning, and market analysis using historical data.
- Ensure data integrity and compliance with data protection regulations.
Required Skills & Qualifications:
- Proven experience as a Data Analyst in an ISP or telecom environment.
- Strong proficiency in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau).
- Familiarity with network monitoring tools and platforms (e.g., Zabbix, SolarWinds, NetFlow).
- Understanding of ISP infrastructure, including ONTs, routers, and fiber networks.
- Excellent analytical, problem-solving, and communication skills.
- Bachelor’s degree in Data Science, Computer Science, Telecommunications, or related field.
Preferred Experience:
- Experience working with infrastructure providers like CityFibre, OFNL, or Openreach.
- Knowledge of customer segmentation, usage patterns, and service tier analysis.
- Exposure to Python, R, or other statistical programming languages.
IDSL is your partner for accessing advanced technology-based services and products in the UK.
No.of Years of Experience in relevant field
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Data Analyst – ISP Operations in London employer: Idsl
At IDSL, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Data Analyst in ISP Operations, you will have the opportunity to work with cutting-edge technology while contributing to meaningful projects that enhance service quality and operational efficiency. We offer competitive benefits, continuous professional development, and a supportive environment that encourages growth and creativity, making our UK location an ideal place for your career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst – ISP Operations 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 Idsl!
✨Show Off Your Projects
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✨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 Idsl.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst – ISP Operations at Idsl, 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 – ISP Operations 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 Idsl, 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 Idsl. 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 Idsl
✨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 Idsl!
✨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.
