At a Glance
- Tasks: Standardise datasets and deliver insightful reporting using Power BI.
- Company: Join a supportive and collaborative Sales Operations team in London.
- Benefits: Enjoy 30 days holiday, flexible working options, and a generous pension plan.
- Other info: Be part of a high-performing team known for expertise and collaboration.
- Why this job: Make an impact by driving data-led decisions and enhancing performance analysis.
- Qualifications: Experience with Power BI, T-SQL, and Salesforce data is essential.
The predicted salary is between 50000 - 60000 £ per year.
Primary Details
- Time Type: Full time
- Worker Type: Employee
- Location: London
- Type: Permanent, full time
- Hybrid role, 2 days per week in office
About the Role
Work with multiple data teams across the organisation to standardise datasets, align definitions and consolidate reporting into a consistent analytics framework. Integrate data from sources such as Salesforce and other core systems, using Power BI to model data. Identify trends and patterns and deliver scalable business intelligence that enhances performance analysis and insight accuracy. Strengthen data governance, ensuring high data quality, consistent metrics and trusted definitions across all reporting outputs. Deliver robust, self‑service reporting solutions and partner closely with business partners to ensure insights are reliable and effectively used to drive data‑led decision making. Participate as part of a high‑performing, well‑established Sales Operations team known for expertise, collaboration and supportive culture.
Qualifications
- Proven ability to design, develop and optimise Power BI dashboards and solutions, bringing together data from multiple platforms to create holistic views and robust performance reporting.
- Experience in writing queries using T‑SQL or Spark SQL (Databricks).
- Ability to work with Salesforce data, including extraction, analysis and reporting.
- Solid understanding of data governance, data quality and master data best practices.
- Strong stakeholder engagement, communication and visual storytelling skills, with the ability to translate complex insights into clear narratives.
- The ability to understand complex data ecosystems, including how multiple systems interact and the upstream and downstream impacts of proposed changes.
Benefits
- 30 days holiday a year with the option to buy up to 2 additional days.
- Flexible working—options include part‑time, job share and compressed hours.
- Pension plan with employer contributions of 10% of basic salary.
Equal Employment Opportunity
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Sales Operations Analyst - Data Governance employer: 慨正橡扯
At QBE, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within our Sales Operations team. With flexible working options, generous holiday allowances, and a strong commitment to employee growth through continuous learning opportunities, we empower our staff to thrive in their roles while enjoying a healthy work-life balance in the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Operations Analyst - Data Governance
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Sales Operations Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your Power BI skills. Be ready to discuss how you've used it in past roles to create dashboards and reports. We want to see your expertise shine!
✨Tip Number 3
Showcase your storytelling skills! When discussing your experience, focus on how you’ve translated complex data into actionable insights. This will demonstrate your ability to communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Sales Operations Analyst - Data Governance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Sales Operations Analyst role. Highlight your experience with Power BI, T-SQL, and data governance. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data governance and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Data Skills:Don’t just list your skills—show us how you've used them! Include specific examples of dashboards you've created or projects where you've improved data quality. We love seeing real-world applications of your expertise.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 慨正橡扯
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with data governance principles and how they apply to the role. Brush up on your Power BI skills and be ready to discuss how you've used it to create dashboards or reports in the past.
✨Showcase Your SQL Skills
Be prepared to talk about your experience with T-SQL or Spark SQL. You might even be asked to write a query on the spot, so practice writing queries that extract and manipulate data effectively.
✨Understand the Business Context
Research the company’s data ecosystem and think about how different systems interact. Be ready to discuss how your insights can drive data-led decision making and improve performance analysis.
✨Engage with Stakeholders
Highlight your communication skills by sharing examples of how you’ve engaged with stakeholders in the past. Prepare to explain how you translate complex data into clear narratives that can be easily understood by non-technical team members.
