At a Glance
- Tasks: Manage research databases, clean data, and produce analytical reports using Excel and Power BI.
- Company: Public sector organisation in Edinburgh with a focus on impactful research.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Join a supportive team and enjoy a dynamic work environment.
- Why this job: Make a difference by analysing data that influences important research outcomes.
- Qualifications: Advanced Excel skills, experience with Power BI, SQL, R, and Python required.
The predicted salary is between 31500 - 38500 £ per year.
Venesky-Brown’s client, a public sector organisation in Edinburgh, is currently looking to recruit a Research Officer (Data Analyst) for a 23 month contract on a rate of £194.38/day (Outside IR35).
This role will be hybrid based with up to 2 days a week working from home.
Responsibilities
- Contribute to the day-to-day management of the research databases and relationships between these;
- Carry out cleaning and querying of data and maintaining Excel workbooks used for these tasks;
- Manipulate data using tools such as Excel and Power BI to produce analytical data reports;
- Carry out analysis of information gathered by the organisation for research purposes, and be able to communicate findings to a variety of stakeholders in sensitive, compelling, and creative ways;
- Take ownership for your own projects’ objectives and targets;
- Support with copy-editing and proofreading reports, ensuring consistency and accuracy within and across outputs, both in terms of their content and format;
- Work as part of a multi-disciplinary team, establishing effective working relationships with colleagues; and
- Where required, support other tasks within the Policy and Research Team.
Essential Skills
- Advanced use of MS Excel, including experience using Power Query and Macros.
- Experience of MS packages, including Access and Power BI, and programming languages used in data manipulation and analysis such as SQL, R and Python.
- Experience of gathering, managing, manipulating and analysing complex and sensitive data for research purposes.
- Experience working on complex, large-scale research projects and datasets.
- A strong commitment to quality and meticulous attention to detail.
- Proven experience of working to tight timescales, and able to prioritise tasks according to project development stages.
- Experience of working independently, as well as part of a multi-disciplinary team.
- Highly organised and efficient.
- Excellent communication and presentation skills and command of English grammar and usage.
- Personal resilience and the ability to deal with what can be a distressing subject matter.
If you would like to hear more about this opportunity please get in touch.
Data Analyst (Research) in Broughton employer: Venesky Brown
Venesky-Brown is an exceptional employer, offering a dynamic work environment in the heart of London, where you can lead significant infrastructure projects that shape the future. With a strong focus on employee growth and development, we provide opportunities for continuous improvement and professional advancement, all while fostering a collaborative culture that values innovation and stakeholder engagement. Join us to be part of a major UK Infrastructure Programme, where your expertise will directly contribute to impactful change in a thriving city.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Research) in Broughton
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We think you need these skills to ace Data Analyst (Research) in Broughton
Some tips for your application 🫡
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Venesky Brown, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Venesky Brown
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Venesky Brown.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Venesky Brown.
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