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For Companies At a Glance
- Tasks: Manage data from collection to reporting, ensuring quality and compliance.
- Company: Join a forward-thinking company focused on data-driven decisions.
- Benefits: Enjoy hybrid work options and a competitive salary of £40,000-£50,000.
- Why this job: Be part of a culture that values data literacy and insight generation.
- Qualifications: Strong communication skills and experience in data analysis are essential.
- Other info: Opportunity to train others in data tools like Power BI and Excel.
The predicted salary is between 32000 - 42000 £ per year.
Data Operations & Insights Analyst Location: Cardiff Outskirts (Hybrid – minimum 3 days onsite) Salary: £40,000–£50,000 DOE Type: Permanent, Full-Time The Role We’re looking for a skilled Data Analyst who can do more than just crunch numbers. You’ll be responsible for the end-to-end management of our data – from building and maintaining our data warehouse, to driving data quality, analysis, and reporting that directly supports business decisions. You’ll work across the company, supporting data governance, compliance, and insight generation. There’s a strong focus on improving how data is collected, stored, and used – and making sure everyone across the business understands the value of it. What You’ll Be Doing Governance & Quality Develop and maintain our Data Governance Framework Own data quality monitoring, audits, and issue management Ensure consistent, accurate, and reliable data across all systems Data Integration & Warehousing Build and manage a centralised data warehouse Apply ETL processes to extract, transform and load data Integrate data across platforms using APIs, Celigo, Make Keep documentation updated in the IT Knowledgebase Analysis & Insights Build and maintain dashboards and MI reports Analyse complex datasets to uncover trends, insights, and performance gaps Present findings clearly to non-technical stakeholders Work closely with teams to support data-driven decisions Compliance & Lifecycle Support GDPR compliance and Data Lifecycle Management Contribute to maintaining Cyber Essentials and ISO27001 standards Training & Culture Promote data literacy across teams Deliver internal training on Power BI, Excel and other data tools Embed data metrics into team performance tracking What You’ll Need Top 5 Must-Have Competencies Strong communication skills – clear, concise and confident Experience with data modelling, data warehousing, and ETL processes Excellent problem-solving and critical thinking skills High attention to detail and accuracy Qualification in Data Science, IT, Statistics, Maths, or similar Also Important Proven experience in a Data Analyst or similar role Hands-on skills with SQL, Power BI, DAX, Excel Experience working with NetSuite, Salesforce, or other Tier 1 systems (desirable) Comfortable with APIs, cloud storage (e.g. Azure), and data integration tools Solid documentation and process discipline Ready to Apply? If you know your data inside out, have the right mindset, and want to help shape how a business uses its information – we want to hear from you, please apply for more details, thanks
Data Insights Analyst employer: IntaPeople
Contact Detail:
IntaPeople Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Insights Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as SQL, Power BI, and DAX. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your data governance and compliance knowledge, especially around GDPR and ISO27001 standards. Being able to discuss these topics during your interview will show that you understand the importance of data management in a business context.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully analysed complex datasets. Be ready to explain how your insights led to actionable business decisions, as this aligns perfectly with the role's responsibilities.
✨Tip Number 4
Since the role involves promoting data literacy across teams, think about how you would approach training others on data tools. Having a clear strategy for delivering internal training can set you apart as a candidate who is not just technically skilled but also a team player.
We think you need these skills to ace Data Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, data warehousing, and ETL processes. Use specific examples that demonstrate your skills in communication, problem-solving, and attention to detail.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how your background aligns with the responsibilities of the Data Insights Analyst role. Mention your experience with tools like SQL, Power BI, and any relevant projects you've worked on.
Showcase Your Technical Skills: In your application, emphasise your hands-on experience with data modelling, cloud storage, and integration tools. Provide examples of how you've used these skills to drive data quality and insights in previous roles.
Highlight Your Communication Abilities: Since the role involves presenting findings to non-technical stakeholders, include examples of how you've effectively communicated complex data insights in the past. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
How to prepare for a job interview at IntaPeople
✨Showcase Your Communication Skills
As a Data Insights Analyst, you'll need to communicate complex data findings clearly. Prepare examples of how you've presented data insights to non-technical stakeholders in the past, highlighting your ability to simplify complex information.
✨Demonstrate Your Technical Proficiency
Be ready to discuss your experience with SQL, Power BI, and ETL processes. Bring specific examples of projects where you used these tools effectively, and consider preparing a small demo or visualisation to showcase your skills.
✨Emphasise Problem-Solving Abilities
The role requires excellent problem-solving skills. Think of a challenging data-related issue you've faced and be prepared to explain how you approached it, the steps you took, and the outcome. This will demonstrate your critical thinking capabilities.
✨Highlight Your Attention to Detail
Data quality is crucial for this position. Share instances where your attention to detail made a significant difference in a project. Discuss how you ensure accuracy in your work and any processes you follow to maintain high standards.
