At a Glance
- Tasks: Lead data analysis for diverse clients, defining and documenting data-driven requirements.
- Company: Join a dynamic consultancy focused on delivering impactful data projects.
- Benefits: Enjoy remote work flexibility and competitive salary with opportunities for growth.
- Why this job: Be part of a collaborative culture that values innovation and client success.
- Qualifications: 5+ years in business/data analysis; strong analytical and communication skills required.
- Other info: Ideal for those with consultancy experience and a passion for data-driven solutions.
The predicted salary is between 55000 - 65000 £ per year.
This position sits within the Solution Consulting function of a data-focused consultancy, supporting the delivery of data projects across a range of strategic clients. The role involves working both remotely and on-site to lead analysis efforts and engage with business stakeholders to define and document data-driven requirements.
Key Responsibilities:
- Lead business and data analysis activities across multiple clients.
- Gather, analyse, and document requirements for data pipelines, system migrations, and reporting needs.
- Work closely with both client stakeholders and internal engineering teams to ensure accurate and actionable specifications.
- Facilitate workshops and discovery sessions to identify business and data requirements.
- Support the development and curation of business glossaries and manage associated processes.
- Maintain up-to-date specifications and advocate for solutions that drive client value.
Key Experience & Skills:
- 5+ years in a business/data analyst role, ideally in a consultancy or commercial setting.
- Strong analytical, problem-solving, and communication skills.
- Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting.
- Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel.
- Familiarity with Agile (SCRUM), and ability to manage multiple projects effectively.
- Capable of tailoring analysis approaches to different client environments.
Preferred:
- SAFe certification or Lean/Six Sigma experience.
- Working knowledge of SQL/Python for data discovery.
- Experience with business glossary management.
- Knowledge of Snowflake and data management best practices (DMBOK certification beneficial).
- Background in the travel industry is a plus.
Contact Detail:
Revoco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data/Business Analyst
✨Tip Number 1
Familiarise yourself with the tools mentioned in the job description, such as JIRA, Confluence, and Excel. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Engage with the data community online, especially on platforms like LinkedIn. Share insights or articles related to data analysis and business intelligence to showcase your knowledge and passion for the field.
✨Tip Number 3
Prepare to discuss specific examples of how you've led analysis efforts in previous roles. Highlight your experience with ETL processes and data migration, as these are crucial for the position.
✨Tip Number 4
If you have experience in the travel industry, make sure to emphasise this during your conversations. It could give you an edge, as the company may value industry-specific insights when working with clients.
We think you need these skills to ace Data/Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data and business analysis. Focus on your 5+ years of experience, showcasing specific projects where you've led analysis efforts or worked with data pipelines and reporting needs.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data/Business Analyst role and how your skills align with the job description. Mention your familiarity with tools like JIRA and Excel, and any relevant certifications you hold.
Showcase Your Analytical Skills: Provide examples of how you've used your analytical and problem-solving skills in previous roles. Highlight any experience with ETL processes, data warehouse migrations, or BI reporting to demonstrate your capability.
Prepare for Potential Interviews: Anticipate questions related to your experience with Agile methodologies and managing multiple projects. Be ready to discuss specific instances where you've facilitated workshops or engaged with stakeholders to gather requirements.
How to prepare for a job interview at Revoco
✨Showcase Your Analytical Skills
As a Data/Business Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've tackled complex data problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with Relevant Tools
Make sure you know your way around tools like JIRA, Confluence, and Excel. If you have experience with SQL or Python, be ready to demonstrate your knowledge. You might even be asked to solve a problem on the spot, so brush up on your technical skills.
✨Understand the Client's Needs
Research the consultancy and its clients before the interview. Understand their business model and the types of data projects they handle. This will help you tailor your answers and show that you're genuinely interested in how you can add value.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle real-world scenarios. Think about how you would lead workshops or manage multiple projects. Practising these scenarios can help you articulate your thought process and decision-making skills effectively.