Data Manager in London

Data Manager in London

London Full-Time 39000 - 41000 £ / year (est.) Home office (partial)
Now Teach

At a Glance

  • Tasks: Manage data systems and ensure accurate reporting for impactful decision-making.
  • Company: Join a dynamic team at Now Teach, dedicated to meaningful change in education.
  • Benefits: Enjoy flexible working, generous holiday, and a supportive professional development budget.
  • Other info: Embrace a culture of inclusivity and continuous improvement in a hybrid work environment.
  • Why this job: Make a real difference by transforming data into insights that drive impact.
  • Qualifications: Strong attention to detail, experience with data management, and a passion for collaboration.

The predicted salary is between 39000 - 41000 £ per year.

Reports to: Chief Operating Officer with dotted line to Head of Technology

Location: Hybrid: mainly at home, with monthly co‑working days in London and meeting with team and external clients as needed

Hours: Full time; 37.5 hours a week. We are happy to consider requests for flexible or part time working

Contract: Permanent

Salary: £39k - £41k + 11% employer pension contribution and other benefits, including generous holiday, retailer discounts and personal development budgets

Responsibilities

  • Oversee Now Teach’s data systems, fundraising and monitoring and evaluation processes ensuring they are set up for reliable data capture and reporting
  • Work closely with our data system product owners to ensure systems are set up and used to protect confidentiality, integrity and accessibility of data
  • Oversee data pipelines and the data aspects of integrations between our core systems
  • Be responsible for data accuracy, integrity, governance and consistency across systems, ensuring high levels of data accuracy, completeness and consistency
  • Responsible for data capture across the organisation – Recruitment, Network, partners and donors
  • Ensure compliance with the UK GDPR and that data is handled securely and ethically
  • Be responsible for transitioning raw data into clean, structured and reliable datasets that are easy to understand and can be used for informed decision making across the organisation
  • Be responsible for automating the collection of data from multiple systems so it can be reliably analysed
  • Creating datasets and reports that support accountability, learning and improvement
  • Develop our approach to data management and platforms, exploring the use of a medallion based data warehouse

Reporting, monitoring & impact

  • Produce regular reports for teams, trustees, funders, and regulators
  • Support monitoring, evaluation, and learning (MEL) activities to evidence impact and outcomes.
  • Enable accurate reporting for all teams from all key systems, developing self‑service dashboards and reporting to support service improvement and organisational learning.
  • Support analysis and data‑led strategic decision making by providing and making accessible reliable data
  • Respond to ad‑hoc data and reporting requests, including grant applications and tender submissions.
  • Use internal reporting systems and external data sources, including national benchmarks, to identify trends and patterns, to support data‑led strategic decision making and organisational learning.

Systems & improvement

  • Responsible for effective data capture across all new areas of work, working with the Head of Impact, Head of Technology and relevant teams to define and agree data needs and ensure appropriate systems are in place to support high quality data
  • Identifying opportunities to automate, streamline and improve data processes with an organisational ambition for data to be readily accessible for all teams
  • Build meaningful reports and dashboards, working with the Head of Technology and engaging with internal teams required
  • Maintain our data map and other related assets to ensure we have a clear view of what data we capture across the organisation and what we do with it
  • Develop data management and data visualisation guidelines for Now Teach to ensure we have a consistent approach to gathering data
  • Provide training and guidance to all Now Teach staff on data best practice

Stakeholder collaboration

  • Head of Impact – partnering closely to ensure the organisation has robust, high‑quality data to effectively measure, evaluate, and evidence impact. You will support the development of meaningful insights that enable data‑driven decision‑making and continuous improvement.
  • Head of Technology – collaborating to ensure that data infrastructure, systems, and processes are fit for purpose, secure, and aligned with organisational needs, enabling efficient data management and integration across platforms.
  • CRM Product Owner – working together to optimise the use of the CRM system, ensuring it meets user needs, supports accurate data capture, and enables effective reporting and analysis across teams.
  • Director of Network and their team – providing clear, robust, and accessible data sets to support ongoing network design, planning, and delivery. Your work will help inform strategic decisions and ensure data is easily understood and actionable.
  • Director of Philanthropy, Marketing & Communications and their team – supporting donor reporting requirements, contributing to the development of compelling fundraising pitches, and providing key data sets to strengthen communications.
  • Director of Recruitment and their team – ensuring the provision of accurate and timely data to support forecasting and planning.

Person Specification

Who you are (qualities/values)

  • A team player, you believe the best results come from working together. You’re always ready to share ideas, support colleagues, and celebrate team successes.
  • You build great relationships wherever you go. You’re approachable, collaborative, and genuinely enjoy working with others to make a difference.
  • Have a talent for taking complex data and turning it into clear, engaging data insights that everyone can understand – whether they are a data expert or not.
  • Passionate about using data to support meaningful change and impact
  • Enjoy being part of a small team where people thrive on working together and outside their designated roles occasionally to drive work forward
  • Able to manage multiple projects, systems and data sets and keep track of how they interrelate
  • Have a commitment to continuous improvement
  • Comfortable working on your own and setting goals and deadlines, whilst responding to and prioritising ad‑hoc queries and requests
  • Committed to your own personal and professional development
  • Passionate about ensuring that schools and students benefit from the inspiring professional and life experience of career change teachers.

What you'll need to succeed in this role (experience/qualifications etc)

  • High levels of accuracy and attention to detail
  • Strong organisational and prioritisation skills
  • Experience supporting impact measurement and reporting
  • Knowledge of UK GDPR and data protection principles
  • Advanced Excel and SQL skills
  • Experience (or a willingness to learn) of engineering data pipelines, building and maintaining scalable data warehouses
  • Have skills and experience working with Salesforce, or be open to learning how to utilise Salesforce; quick to learn new systems and help others to navigate them
  • Have experience of project management, establishing operational systems and processes, with the ability to work autonomously

We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly, we encourage you to apply anyway.

In return we offer you

As well as flexible working and a great culture, we offer a wide range of benefits including 25 days annual leave per year (plus bank holidays), an additional 3 days for Christmas closure (25th Dec‑1st January), a pension scheme with a generous 11% employer contribution, enhanced parental leave policies, a rewards platform with employee discounts, access to an Employee Assistance Programme and an annual professional development budget for each employee.

Working arrangements

Full time/part time role, flexible working patterns possible. Now Teach are supported to work flexibly at co‑working spaces or at home as needed with monthly working days in London. You will be required to cover your own travel expenses to London.

We welcome all candidates to apply, regardless of age, sex/gender, disability, race, religion, sexual orientation, marital status or pregnancy/maternity. All applicants must have an existing Right to Work in the UK.

Safe Recruitment Procedure

Now Teach are committed to safeguarding and promoting the welfare of children and young people. To meet this responsibility, we follow a rigorous selection process, and all successful candidates will be subject to a Basic Disclosure and Barring Service (DBS) check.

Data Manager in London employer: Now Teach

Now Teach is an exceptional employer that prioritises a collaborative and inclusive work culture, offering flexible working arrangements primarily from home with monthly co-working days in London. Employees benefit from generous holiday allowances, a robust pension scheme, and dedicated personal development budgets, all while contributing to meaningful change in education through data-driven insights.

Now Teach

Contact Details:

Now Teach Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager 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 Now Teach!

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 Manager at Now Teach.

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 Now Teach.

Apply Directly through Our Website

When you find a suitable opening like Data Manager at Now Teach, 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 Manager in London

Data Management
Data Analysis
Data Governance
UK GDPR Compliance
Data Visualisation
Advanced Excel
SQL

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 Now Teach, 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 Now Teach. 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 Now Teach

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 Now Teach!

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.