Finance Analytics Product Lead — Remote

Finance Analytics Product Lead — Remote

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Awin

At a Glance

  • Tasks: Lead financial reporting and KPIs while guiding a small analytics team.
  • Company: Awin, a global leader in financial analytics with a supportive culture.
  • Benefits: Flexible remote work, focus on wellbeing, and opportunities for personal development.
  • Other info: Join a dynamic team with hybrid options and a focus on growth.
  • Why this job: Shape the future of financial analytics using AI/ML and make a real impact.
  • Qualifications: Experience in finance analytics and strong leadership skills.

The predicted salary is between 60000 - 80000 £ per year.

Awin’s Financial Analytics team seeks a Team Leader to own the company’s financial reporting, KPIs and business planning, acting as a Product Owner for the reporting suite.

You will guide strategy, roadmap, and tool integration including AI/ML, while coaching a small analytics squad and collaborating with cross-functional teams.

We hire across multiple countries with hybrid/remote options, and offer a flexible, supportive culture focused on development and wellbeing.

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Finance Analytics Product Lead — Remote employer: Awin

Awin is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Product Manager to thrive. With a strong focus on employee growth and development, Awin offers numerous opportunities for professional advancement while ensuring a supportive environment where your contributions directly impact user experiences. Located in a vibrant area, the company provides unique advantages such as flexible working arrangements and a commitment to work-life balance, making it a rewarding choice for those seeking meaningful employment.

Awin

Contact Details:

Awin Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Finance Analytics Product Lead — Remote

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We think you need these skills to ace Finance Analytics Product Lead — Remote

Financial Reporting
KPI Development
Business Planning
Product Ownership
Strategy Development
Roadmap Planning
Tool Integration

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 Awin, 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 Awin

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 Awin’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.