At a Glance
- Tasks: Transform data into insights to help end homelessness and improve services.
- Company: Crisis, a national charity dedicated to ending homelessness.
- Benefits: Competitive salary, flexible working, generous leave, and professional development opportunities.
- Other info: Join a diverse team committed to creating a supportive and inclusive workplace.
- Why this job: Make a real impact by using data to drive change in the fight against homelessness.
- Qualifications: Strong analytical skills, SQL expertise, and experience with data visualisation tools like Power BI.
The predicted salary is between 40500 - 49500 £ per year.
Crisis is the national charity for people experiencing homelessness. We have embarked on our 10-year strategy for ending homelessness. We know it is not inevitable. We know together we can end it.
Location: Based in our London office, E1. We are open to a range of flexible working options with one day in the office a week minimum, in line with Crisis' Hybrid Working Policy.
Contract: Permanent
About the role
As a Data Insight Analyst, you’ll play an important role in helping Crisis turn its ambition to end homelessness into action. By transforming data into meaningful insight, you’ll support decision-making across the organisation, helping colleagues understand our impact, improve services for our members and maximise the resources available to tackle homelessness.
You’ll own the end-to-end analytical process, from building datasets using SQL to developing Power BI dashboards and presenting your recommendations. Working across a varied portfolio of projects, including fundraising campaign analysis, supporter segmentation, income attribution and client services reporting, you’ll help strengthen how Crisis uses data and evidence to measure progress, improve performance and deliver its ten-year strategy.
About you
To be successful in this role, you will have:
- Significant analytical experience, with the ability to turn complex data into clear, impactful recommendations.
- Strong SQL skills.
- Experience creating dashboards to track metrics and visualise insights, ideally using Power BI.
- Strong communication and stakeholder management skills, with the ability to present complex information to non-technical audiences.
- Working knowledge of charity service delivery, fundraising and commercial activity, public engagement and/or impact evaluation.
- Experience with Azure SQL Database, Microsoft Dynamics, customer analysis, digital analytics, Python, or data science techniques would be advantageous.
We believe diversity is a strength, and our aim is to make sure that Crisis truly reflects the communities we serve. We are actively working towards our organisation being a place where everyone can thrive and make their best contribution to our mission of ending homelessness for good. We know that the more perspectives, voices, and experiences we can bring to this work, the better. We particularly welcome applications from people who have lived experience of homelessness, and people from all marginalised groups, communities, and backgrounds.
Working at Crisis
Our values, Bold, Impactful, Collaborative and Equitable, are at the heart of everything we do as we continue in our mission to end homelessness. Our staff, members and volunteers are vital to getting the right government policies in place, providing breakthrough services, and building a supportive community. We'll lead by example to nurture a positive and ambitious workplace guided by ending homelessness.
As a member of the team, you will have access to a wide range of employee benefits including:
- A competitive salary. Please note our salaries are fixed to counter inequity and we do not negotiate at offer stage.
- Interest free loans for travel season ticket, cycle to work, and deposit to secure a tenancy.
- Pension scheme with an employer contribution of 8.5%
- 28 days' annual leave (pro rata) which increases with service to 31 days and the option to purchase up to 10 additional days leave.
- Enhanced maternity, paternity, shared parental, and adoption pay.
- Flexible working around the core hours 10am-4pm
- Wellbeing Leave to be used flexibly
- And more! (Full list of benefits available on website)
Alongside our excellent staff benefits, we will support your ongoing development to build your skills, experience, and career. When you join us, you will have the opportunity to join our staff diversity networks, which aim to champion issues across the organisation, enable staff to be their authentic and best selves and contribute to making Crisis a truly diverse organisation.
Data Insight Analyst in London employer: Crisis
Crisis is an exceptional employer that not only offers a meaningful role in tackling homelessness but also fosters a supportive and inclusive work culture in the heart of London. Employees benefit from comprehensive training, opportunities for personal and professional growth, and the chance to make a real difference in people's lives while working alongside passionate colleagues and dedicated volunteers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insight Analyst 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 Crisis!
✨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 Insight Analyst at Crisis.
✨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 Crisis.
✨Apply Directly through Our Website
When you find a suitable opening like Data Insight Analyst at Crisis, 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 Insight Analyst 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 Crisis, 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 Crisis. 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 Crisis
✨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 Crisis!
✨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.
