At a Glance
- Tasks: Support digital performance analysis and create insightful dashboards.
- Company: Join Hargreaves Lansdown, the UK's top investment platform.
- Benefits: Enjoy flexible working, generous holiday, and health perks.
- Other info: Dynamic learning environment with great career growth opportunities.
- Why this job: Make a real impact on client behaviour and digital insights.
- Qualifications: Experience with digital analytics tools and foundational SQL skills.
The predicted salary is between 30000 - 40000 £ per year.
Excited to grow your career?
Our purpose is to make it easy for people to save and invest for a better future.
We are looking for great people to join us, so please come and invest in YOUR future at Hargreaves Lansdown.
We know that sometimes people can be put off applying for a job if they don't tick every box.
If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply.
We’d love to hear from you!
About the role
The Digital Insight Analyst supports the delivery of reporting, dashboards, and analysis that help the business understand digital performance and client behaviour.
The role focuses on executing defined analyses and producing reliable insight, with guidance from Senior Analysts and the Lead.
- What you will be doing
- Build and maintain data products with stakeholders including digital analytics dashboards.
- Conduct analysis to answer defined business questions.
- Support tagging validation and data quality checks.
- Work with stakeholders to clarify requirements and findings.
- Develop analytics skills through feedback and coaching.
About you
- Experience working with digital analytics tools and data to understand user behaviour and make recommendations to drive better commercial outcomes.
- Foundational SQL skills and analytical thinking.
- Clear communication and curiosity-driven mindset.
- Experience in financial services or regulated industries preferred but not required.
- Interview process
The interview process for this role is two stages including technical competency-based questions and a scenario task.
Working Schedule
This role is based in Bristol head office, BS1 5HL.
This role is permanent, full time, 37.5 hours per week, Monday to Friday.
We have returned to the office, however for this role we offer a hybrid flexible working pattern.
Why us?
Here at HL, we’re the UK’s number 1 investment platform for private investors, based in Bristol.
For more than 40 years we’ve helped investors save time, tax and money on their investments.
To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos.
We're steered by core values that promote service, quality, innovation, and opportunity in everything we do.
What's on offer?
- Discretionary annual bonus* and annual pay review
- 25 days* holiday plus bank holidays and 1-day additional Christmas closure
- Option to purchase an additional 5 days holiday**
- Flexible working options available, including hybrid working
- Enhanced parental leave
- Pension scheme up to 11% employer contribution
- Income Protection and Life insurance (4 x salary core level of cover)
- Private medical insurance*
- Health care cash plans - including optical, dental, and outpatient care
- Health screening programme
- Help@hand - confidential support including mental health counselling and remote GP
- Wellhub - unlimited access to fitness providers and wellness coach sessions
- Variety of travel to work schemes with bike storage and shower facilities
- Inhouse barista and deli serving subsidised coffee and sandwiches
- Two paid volunteering days per year
- dependant on role level
- ** only available to select during our annual benefits window, in November each year
Hargreaves Lansdown is an inclusive employer that values diversity in its workforce.
We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age.
This role may also be available on a flexible working or part time basis – please ask the Recruitment & Onboarding team for more information.
Please note, we are unable to provide employment sponsorship to candidates.
Digital Insight Analyst employer: HL Tech
Hargreaves Lansdown is an exceptional employer, offering a vibrant work culture in Bristol that fosters continuous learning and innovation. With a commitment to employee growth, we provide extensive benefits including flexible working options, generous holiday allowances, and comprehensive health support, ensuring our team can thrive both personally and professionally. Join us to make a meaningful impact in the investment services sector while enjoying a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Insight Analyst
✨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 HL Tech!
✨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 Digital Insight Analyst at HL Tech.
✨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 HL Tech.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Insight Analyst at HL Tech, 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 Digital Insight 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!
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 HL Tech, 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 HL Tech. 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 HL Tech
✨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 HL Tech!
✨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.