At a Glance
- Tasks: Transform data into insights that drive impactful decisions for clients in various sectors.
- Company: Join Opencast, a growing tech consultancy focused on user-centred solutions.
- Benefits: Enjoy competitive salary, flexible hours, 25 days holiday, and wellbeing support.
- Other info: Diverse and supportive team culture with opportunities for professional growth.
- Why this job: Make a real difference by using analytics to solve complex problems.
- Qualifications: Experience with digital services, data visualisation tools, and analytical skills required.
The predicted salary is between 44001 - 50000 £ per year.
Want to help shape decisions with the power of data? Do you want to turn data into insights that make a real difference? Are you ready to use analytics, KPIs and storytelling to solve complex problems for our clients in government, healthcare and purpose-driven businesses? If so, Opencast could be the place for you. We’re a growing tech consultancy that creates user‑centred solutions with purpose. As a Data Analyst, you’ll guide better decisions, helping clients to act with insight – and help shape our data practice for the future.
The role
You’ll help clients improve their services by selecting the appropriate techniques to turn data into insights, by working within a product delivery team to develop performance measuring frameworks to track goals, user needs, or KPIs. You’ll operate within the client’s requirements and the appropriate legal, technical and ethical constraints. Leading by example and promoting Opencast’s approach, you’ll mentor junior colleagues, provide constructive feedback, and demonstrate an understanding of each product delivery stage and how to apply appropriate measurements for that phase of work. Ensure that work is carried out in accordance with Opencast's quality, environmental, and information security policies and procedures, as well as applicable customer policies, standards, and procedures while working on client.
Requirements
- Experience in delivering digital services for the UK government is highly valuable for many of our projects. Therefore, familiarity with the GDS toolkit will be essential.
- Due to the nature of this role, applicants must either currently hold active Security Check (SC) Clearance or be eligible to obtain it. Eligibility typically requires UK citizenship and continuous residence in the UK for the past five years, with no single absence exceeding 28 consecutive days. As a result, we are unable to progress applications from candidates who do not meet these requirements.
- Scripting and programming languages such as SQL, Python, R, etc.
- Visualising data using Power BI, Tableau, QlikView, Power Query or similar.
- Designed and implemented a performance framework including KPIs or OKRs for a service or product.
- Analytical skills in identifying the right data sources and then validating and understanding how to interpret the results.
- Collected, collated, cleansed, and interpreted data to derive meaningful and actionable insights.
- Using the most appropriate medium to visualise data to tell compelling and relevant actionable stories.
- Created hypotheses that can be tested and developed insights based on findings.
- Security and data privacy.
- Making recommendations for service changes.
- Experience with the GDS or NHS design principles.
Consultant salary range: £44,001 - £50,000 per annum.
What we offer
A competitive package including a 7% employer pension contribution, share options and a discretionary bonus. You’ll also benefit from flexible working hours (aligned to client commitments), 25 days’ holiday, and access to 3 annual “life happens” days to support unexpected situations. We also offer wellbeing support, ongoing professional development, volunteering opportunities and the chance to be part of a genuinely supportive team.
Where you’ll work
This role requires regular on‑site attendance across our HQ, hub offices, client sites and home. Applicants must be able to commute to offices and client sites as part of their normal working arrangements, as travel is essential to fulfilling the responsibilities of the role.
We include you
We welcome candidates from all identities, attributes, ways of thinking and backgrounds to thrive in a career at Opencast. Our aim is for the diversity of our people to be reflected in the solutions we deliver, to help create a fairer society for all.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Performance Analyst in London
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We think you need these skills to ace Digital Performance 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!
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Craft a Tailored Cover Letter:For a full-time role at Opencast | B Corp, 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.
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How to prepare for a job interview at Opencast | B Corp
✨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.
