At a Glance
- Tasks: Shape performance data and develop dashboards to deliver executive insights.
- Company: Join Legal & General Group, a leader in the financial services industry.
- Benefits: Enjoy flexible work options, competitive salary, and professional development opportunities.
- Other info: Dynamic role with opportunities to navigate evolving data environments.
- Why this job: Make a real impact by supporting strategic decisions with your analytical skills.
- Qualifications: Proficient in SQL and Power BI, with strong analytical and communication skills.
The predicted salary is between 40500 - 49500 Β£ per year.
Legal & General Group is seeking a Senior Insights Analyst to shape performance data, reporting and insights for our Institutional Retirement business.
The role focuses on developing dashboards, consolidating data sources and delivering executive insights to support strategic decisions.
The ideal candidate will be proficient in SQL and Power BI, with strong analytical skills and experience in KPI development, stakeholder communication and navigating evolving data environments.
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Senior Insights Analyst β Power BI, SQL & Flexible Work in London employer: Legal & General group
Legal & General is an exceptional employer, offering a dynamic work environment that prioritises employee wellbeing and professional growth. With a strong commitment to inclusivity and sustainability, employees benefit from generous holiday allowances, performance-related bonuses, and opportunities for flexible working arrangements. Joining L&G means being part of a forward-thinking team dedicated to making impactful decisions that shape the future of financial services.
StudySmarter Expert Adviceπ€«
We think this is how you could land Senior Insights Analyst β Power BI, SQL & Flexible Work in London
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We think you need these skills to ace Senior Insights Analyst β Power BI, SQL & Flexible Work in London
Some tips for your application π«‘
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. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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