At a Glance
- Tasks: Transform data into insights that drive impactful decisions for clients in various sectors.
- Company: Join a growing tech consultancy focused on user-centred solutions with purpose.
- Benefits: Enjoy flexible hours, 25 days holiday, and a competitive package including pension and bonuses.
- Other info: Be part of a supportive team committed to diversity and professional development.
- Why this job: Make a real difference by shaping data practices and improving services for meaningful clients.
- Qualifications: Experience in data analysis, programming languages, and visualisation tools like Tableau or Power BI.
The predicted salary is between 35000 - 45000 £ per year.
hackajob is collaborating with Opencast Software to connect them with exceptional professionals for this role.
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?
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. 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.
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.
Experience in delivering digital services for the UK government is highly valuable for many of our projects. Due to the nature of this role, applicants must either currently hold active Security Check (SC) Clearance or be eligible to obtain it.
- 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 validate and understand how to interpret the results
- Collected, collated, cleansed, and interpreted data to derive meaningful and actionable insights
- An ability to use the most appropriate medium to visualise data to tell compelling and relevant actionable stories
- Security and data privacy
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.
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.
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.
Interviews will be conducted via Microsoft Teams.
Data Analyst - Tableau/Python employer: Opencast Software
Opencast Software is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to learn and grow together. With a focus on user-centred solutions for clients in government and business, Opencast offers competitive benefits including flexible hours, a generous holiday allowance, and opportunities for professional development. The dynamic nature of the role allows for diverse experiences across multiple locations, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau/Python
✨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 Opencast Software!
✨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 Analyst - Tableau/Python at Opencast Software.
✨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 Opencast Software.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst - Tableau/Python at Opencast Software, 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 Analyst - Tableau/Python
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 Opencast Software, 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 Opencast Software. 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 Opencast Software
✨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 Opencast Software!
✨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.
