TL;DR
Senior Analytics Manager: Guiding data-driven decisions for commercial teams, defining problems, recommending analytical approaches, and delivering solutions with an accent on translating complex analytical findings into actionable business insights. Focus on leveraging an understanding of machine learning and statistical methods to drive business strategy and enhance data availability and quality.
Location: Manchester, United Kingdom
Company
hirify.global is a company dedicated to inspiring colleagues and making an impact in the business travel industry.
What you will do
- Define problems, recommend analytical approaches, and deliver solutions with internal commercial partners.
- Guide the effective use of data across the customer lifecycle as a thought partner in commercial analytics.
- Translate customer feedback into commercial insights to improve client satisfaction and retention.
- Translate complex analytical findings into compelling, actionable insights for senior executives and non-technical audiences.
- Collaborate with data governance to enhance data availability, quality, and accessibility.
- Tell compelling stories with data that help drive business decisions.
Requirements
- Master's degree or equivalent experience in machine learning, computer science, statistics, or mathematics.
- 8+ years of work experience in a business environment with an analytics background.
- Very strong programming background and expertise in using SQL.
- Solid understanding of machine learning models and techniques, advanced analytics, and statistical methods.
- Skillful in influence and relationship management; comfortable interacting across all levels of leadership.
- Excellent verbal and written communication skills.
Culture & Benefits
- Flexible benefits tailored to each country, including health, welfare, retirement programs, and parental leave.
- Travel perks and deals on flights, hotels, cruises, and car rentals.
- Access to over 20,000 learning courses and leadership development.
- Inclusive culture with global INclusion Groups for colleague connection.
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