Hybrid Ops & Analytics Analyst — Healthcare + Retirement in London

Hybrid Ops & Analytics Analyst — Healthcare + Retirement in London

London Full-Time 29700 - 36300 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Coordinate activities and manage budgets while contributing to data analysis in healthcare and retirement.
  • Company: Join Hearst Corporation, a leader in media and data analytics.
  • Benefits: Enjoy healthcare, retirement planning, and professional development opportunities.
  • Other info: Dynamic role with opportunities for growth in a supportive team.
  • Why this job: Make impactful decisions in a hybrid work environment with a focus on analytics.
  • Qualifications: 1-3 years of experience in financial analysis or business operations required.

The predicted salary is between 29700 - 36300 £ per year.

Hearst Corporation in London is seeking an Analyst to join the Chief Data Office.

You will coordinate activities, manage budgets, and contribute to data analysis for decision-making in a hybrid work environment.

The ideal candidate has 1-3 years of experience in financial analysis or business operations and will benefit from healthcare, retirement planning, and professional development opportunities offered by the company.

Hybrid Ops & Analytics Analyst — Healthcare + Retirement in London employer: Hearst Corporation

At Hearst UK, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our office in the heart of London not only offers a collaborative environment but also provides numerous benefits such as flexible working hours, health and wellbeing support, and opportunities for professional growth. As a Junior Management Accountant, you'll be part of a dynamic team where your contributions are valued, and you'll have the chance to develop your skills while making a meaningful impact across our iconic media brands.

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Contact Details:

Hearst Corporation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Ops & Analytics Analyst — Healthcare + Retirement in London

✨Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

✨Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Hearst Corporation!

✨Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

✨Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Hybrid Ops & Analytics Analyst — Healthcare + Retirement in London

Data Analysis
Financial Analysis
Budget Management
Business Operations
Decision-Making
Coordination Skills
Hybrid Work Environment Adaptability

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Hearst Corporation, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Hearst Corporation

✨Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

✨Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

✨Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

✨Know their business model

Get familiar with Hearst Corporation’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.