At a Glance
- Tasks: Lead data projects and develop digital platforms for sustainable urban drainage systems.
- Company: Join a dynamic team within the GLA's Infrastructure Coordination Service.
- Benefits: Flexible working arrangements, inclusive culture, and opportunities for career growth.
- Other info: Open to part-time work and job share; committed to diversity and inclusion.
- Why this job: Make a real impact on London's infrastructure while using cutting-edge data technology.
- Qualifications: Strong GIS background and experience in managing digital platforms required.
The predicted salary is between 45000 - 55000 £ per year.
You will be part of a new 7-person team to implement the SuDS through Streetworks Market. This role is located in the Infrastructure team. As Senior Data Analyst you will support the work of the SuDS through Streetworks Market (SSM) and wider Infrastructure team by managing the data and digital platforms required to deliver this high-profile programme. The SSM will conduct market rounds through which ‘buyers’ – lead local flood authorities, Boroughs and Transport for London – together with ‘suppliers’ – utilities and contractors – trade credits to deliver SuDS projects.
Market rounds will be facilitated by a digital SSM Data and Trading Platform, which are the first points of contact for Buyers/Suppliers with the market. Buyers will use the platforms to submit bids (spatially selecting areas and the price they are willing to pay for a credit) and suppliers will submit areas where they are willing to deliver schemes and the price at which they are willing to do so. You will be responsible for developing and managing these key tools, ensuring they remain regularly updated with high-quality data. This will include processing and analysing both spatial and non-spatial data using data science approaches.
This role will also oversee the development of a pan‑London SuDS Asset Register, which you will manage. Where relevant, you will be responsible for producing innovative, customised and interactive web mapping applications, tools and platforms to display the data and help programme delivery, whilst also generating relevant data analysis and undertaking essential monitoring & evaluation functions. This role offers a unique opportunity to work on a high‑profile programme with significant visibility across City Hall, government and industry.
What Your Day Will Look Like:
- Leading data and digital procurements – to update the SSM Data Platform and develop a SuDS Asset Register.
- Managing data and digital consultants once appointed, at times ensuring consultants are speaking to each other.
- Ensuring all data/digital platforms (the SSM data platform and the pan‑London SuDS asset register) are developed correctly and meet user requirements.
- Responding to data queries from LLFAs, utilities, and contractors to ensure Market Rounds run smoothly and they can use the digital platforms.
- Undertaking data collection, where possible establishing APIs.
- Ownership of data sharing processes (including NDA if required) and asset registers.
- Undertaking Monitoring & Evaluation (M&E) for reporting.
- Creating mapping visualisations of data and ad hoc data analysis aimed at SSM market participation and wider infrastructure delivery.
If you have questions about the role, the hiring manager Helen Markides would be happy to speak to you.
Requirements:
- A strong technical and analytical background evidenced by a qualification in GIS (or a related subject) or equivalent professional experience.
- Experience managing and developing digital platforms, including engaging with suppliers and end users.
- Detailed knowledge of GIS in practical use, ideally in the field of SuDS or infrastructure delivery, and evidence of commitment to keep abreast of new developments.
- Experience of advanced working with desktop GIS tools including ArcGIS Desktop.
- Experience of automating the transformation of data and data engineering (eg FME software).
- Experience of working with ESRI ArcGIS Server and developing map services for use with ArcGIS JavaScript API or other web mapping technologies such as OpenLayers, OpenStreetMap API.
Behavioural Competencies:
- Research and Analysis: Uses a variety of methods and sources to gather relevant data and information; Checks accuracy of data and information before using it; Assesses trends in data and spots connections to draw meaningful conclusions; Summarises research outcomes in a clear and concise way; Focuses on the research goal, working in a systematic way.
- Problem Solving: Processes and distils a variety of information to understand a problem fully.
Senior Data Analyst employer: BPIC Network
Join a dynamic and supportive remote work environment where your organisational skills will shine as a Remote Administrative Assistant. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values clear communication and proactivity. Enjoy the flexibility of working from home while being part of a dedicated UK-based team, ensuring your contributions are meaningful and impactful.
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We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior Data Analyst
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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How to prepare for a job interview at BPIC Network
✨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.
