Senior Pricing Analyst

Senior Pricing Analyst

Full-Time 60000 - 75000 £ / year (est.) No home office possible
Allianz Partners

At a Glance

  • Tasks: Analyse data to boost revenue and profitability in the travel sector.
  • Company: Join Allianz Partners, a leading global insurance and asset management company.
  • Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for growth.
  • Other info: Be part of a diverse team that values integrity, fairness, and inclusion.
  • Why this job: Make a real impact by optimising business outcomes with your analytical skills.
  • Qualifications: Degree in a quantitative field and 8 years of analytical experience required.

The predicted salary is between 60000 - 75000 £ per year.

The Senior Pricing Analyst supports Allianz Partners Travel line of business through insights gained from analyzing company data. This person is adept at using data to find opportunities for improving business performance and using models to test the effectiveness of different courses of action. The position is part of an international team, responsible for markets in Europe, with a strong focus on the UK market.

Responsibilities

  • Conducts analysis projects across the Travel line of business targeted at improving company revenue and profitability, and communicates the results of those analyses to internal stakeholders.
  • Builds models and tools to improve and optimize business outcomes, including but not limited to customer experience, revenue and profitability.
  • Drives the collection of new data and the refinement of existing data sources.
  • Performs data mining and processing to prepare analysis on large data sets.
  • Assesses the effectiveness and accuracy of new business tools, techniques and processes for incorporation into company and department best practices.
  • Partners with internal departments on projects where data analysis and reporting expertise is necessary.
  • Regular, predictable, reliable attendance is an essential function of this position.

Key Requirements

  • University degree (3/5 years) in statistics, mathematics, analytics, economics or other quantitative discipline.
  • Min 8 years of experience solving analytical problems using quantitative approaches, preferably in the insurance industry.
  • Experience using statistical computer languages and packages (such as SQL, R, Python, JMP) to manipulate data and draw insights from large data sets.
  • Experience using insurance analytics software Emblem, Radar Base and Radar Live.
  • Expert level proficiency with Excel; intermediate level proficiency with Microsoft Word, PowerPoint and Outlook.
  • Proficiency with one or more business intelligence tools such as PowerBI, Cognos, MicroStrategy, or Tableau.
  • Strong problem-solving abilities, including demonstrated tenacity at mining data to discover root causes of results.
  • Self-starter with ability to manage projects independently in order to deliver the best possible experience to internal and external clients.
  • Ability to handle fast-paced professional office environment and foster excitement around an analytical business culture.
  • Strong oral and written communication skills in English, including ability to translate complex analysis and concepts for non-experts.

We hire directly. Allianz Partners does not accept unsolicited CVs or approaches from agencies. We only work with partners on our approved supplier list, under contract. Any unsolicited submission will not be considered.

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matter, and nurtures a culture grounded in integrity, fairness, inclusion and trust. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow.

Senior Pricing Analyst employer: Allianz Partners

Allianz Partners is an exceptional employer that prioritises employee growth and inclusivity, fostering a culture where every team member feels empowered to explore their potential. With a strong focus on the UK market, employees benefit from a collaborative international environment, comprehensive training opportunities, and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding careers in the insurance industry.
Allianz Partners

Contact Detail:

Allianz Partners Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Pricing Analyst

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Allianz or similar companies. A friendly chat can open doors that a CV alone might not.

✨Tip Number 2

Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've used tools like SQL or Python to solve real-world problems. Show them you’re the analytical whiz they need!

✨Tip Number 3

Don’t just apply and wait! Follow up on your application through our website. A little nudge can show your enthusiasm and keep you on their radar.

✨Tip Number 4

Practice your communication skills. You’ll need to explain complex data insights clearly. Try explaining your past projects to friends or family to get comfortable with simplifying your analysis.

We think you need these skills to ace Senior Pricing Analyst

Data Analysis
Statistical Computer Languages (SQL, R, Python, JMP)
Insurance Analytics Software (Emblem, Radar Base, Radar Live)
Excel Proficiency
Business Intelligence Tools (PowerBI, Cognos, MicroStrategy, Tableau)
Problem-Solving Skills
Project Management
Communication Skills
Data Mining
Quantitative Analysis
Model Building
Attention to Detail
Adaptability
Self-Starter

Some tips for your application 🫡

Craft a Tailored CV: Make sure your CV is tailored to the Senior Pricing Analyst role. Highlight your experience with data analysis, statistical software, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!

Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you've used data to drive business decisions or improve outcomes. This will help us understand your analytical mindset.

Keep It Professional: Remember to keep your application professional and in English, as we won’t consider applications in other languages. A clean, well-structured CV and cover letter will make a great first impression!

Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application goes straight to us, and we can review it promptly. Plus, it’s super easy to do!

How to prepare for a job interview at Allianz Partners

✨Know Your Numbers

As a Senior Pricing Analyst, you'll be expected to handle data like a pro. Brush up on your statistical knowledge and be ready to discuss how you've used data analysis to drive business decisions in the past. Prepare specific examples that showcase your analytical skills and the impact of your work.

✨Familiarise Yourself with Tools

Make sure you're comfortable with the tools mentioned in the job description, like SQL, R, and Excel. If you have experience with insurance analytics software like Emblem or Radar, be prepared to talk about it. Demonstrating your proficiency with these tools will show that you're ready to hit the ground running.

✨Communicate Clearly

You'll need to translate complex data insights into understandable terms for non-experts. Practice explaining your previous analyses in simple language. This will not only help you during the interview but also show that you can effectively communicate with various stakeholders.

✨Show Your Problem-Solving Skills

Be ready to discuss specific challenges you've faced in your previous roles and how you approached solving them. Highlight your tenacity in mining data to uncover root causes and the strategies you employed to improve outcomes. This will demonstrate your critical thinking and problem-solving abilities.

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