At a Glance
- Tasks: Deliver impactful data analysis services and draw insights from large datasets.
- Company: Join Hippo, a dynamic digital consultancy transforming public and private sectors.
- Benefits: Enjoy 25 days holiday, flexible benefits, and a contributory pension scheme.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Make a real difference with advanced analytics in a collaborative environment.
- Qualifications: Proven data analysis experience and expertise in tools like SQL, Tableau, and Python.
The predicted salary is between 50000 - 60000 £ per year.
About the Role
Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of public and private sector clients. We are recruiting for a Senior Data Analyst to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact.
Your Role in a Nutshell
- Act as a Senior Consultant to deliver Data Analysis services to our clients.
- Draw actionable insights from multiple, large sources of data and communicate these effectively through reports, dashboards, and presentations.
- Engage with client stakeholders to understand their business needs and translate these into clear requirements for analysis.
- Identify opportunities for the use of advanced analytics techniques (e.g., predictive modelling and machine learning) to provide additional value.
- Use robust statistical techniques and be able to communicate the methodology to a wide range of stakeholders.
- Apply tools and techniques for data analysis and visualisation using business intelligence tools.
- Understand data platforms and pipelines at a conceptual level and identify data quality issues.
- Be involved in the recruitment and onboarding of other analysts, and support other consultants in their professional development.
- Promote Hippo’s Herd internally and externally through blogs, case studies, and workshops.
About the Candidate
Essential Experience
- A proven track record as a data analyst with extensive experience exploring and presenting data for users.
- Expert skills in data cleansing, analysis, modelling and visualisation (Tableau, Power BI, Looker Studio).
- Experience working with large, complex data warehouses and/or data lakes.
- Familiarity with cloud-based analytics platforms such as AWS, Azure, Snowflake, or Google Cloud Platform.
- Proficiency in SQL and languages such as R or Python, including relevant frameworks.
- Strong stakeholder management skills with the ability to advise upon complex client requirements.
- Mentoring and coaching skills with a passion for up‑skilling junior analysts.
Desirable Experience
- Public sector or consultancy experience is highly desirable.
- Experience with automated data pipeline tools (e.g., dbt, Airflow).
Benefits
- Contributory Pension Scheme (Hippo 6% & Employee 2%).
- 25 Days Holiday plus UK Public Holidays.
- Perkbox access for a wide range of discounts.
- Critical illness cover.
- Life assurance and death in service cover.
- Volunteer days.
- Cycle‑to‑work scheme for avid cyclists.
- Salary sacrifice electric vehicles scheme.
- Season ticket loans.
- Financial and general wellbeing sessions.
- Flexible benefits scheme with options of: Private health cover, Private dental cover, Additional company pension contributions, Additional holidays (up to an extra 2 days), Wellbeing contribution, Charity contributions, Tree planting.
Diversity, Inclusion and Belonging at Hippo
At Hippo, we’re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity, and problem solving. Only by building a community of diverse perspectives, cultures and socio‑economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent, and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer, and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices.
Hippo Locations
We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London, and Bristol. We are looking for talent nationwide, but you need to be located within a reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on‑site at a Hippo office or at a client location for a number of days per week (client dependent). Candidates will need to be open/flexible to travel and work at one of those sites at least two days per week. We offer a generous relocation support package of up to £8,000 (please ask for terms and conditions) to help make your move a smooth one.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Manchester
✨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 Hippo!
✨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 Senior Data Analyst at Hippo.
✨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 Hippo.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Hippo, 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 Senior Data Analyst in Manchester
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 Hippo, 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 Hippo. 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 Hippo
✨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 Hippo!
✨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.