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À propos de ce poste Business Analytics Manager - Dynamic Revenue Plus chez SiteMinder

SiteMinder · Hybride · Pune

At SiteMinder, we believe our success comes from our people. We build diverse, inclusive teams where different voices, backgrounds and perspectives are valued. Our differences drive innovation for our customers, and our people bring the ideas, expertise and energy that help us keep moving forward. We’re better together.

What We Do...

Right now, somewhere in the world, a hotel is taking a booking or increasing their revenue through technology you could help build. SiteMinder is the world’s leading hotel commerce platform. For more than 20 years, we’ve helped hotels attract guests, maximise revenue, forecast demand and perform at their best. Today, our platform supports 56,000+ hotels in 150+ countries, connects to 3,000+ partners and powers more than 140m reservations and AU$85 billion+ in hotel revenue each year.

That’s the kind of impact your work can have here. You’ll solve meaningful challenges with AI, simplify complexity and build solutions that help hotels perform. Supported by clear purpose, a strong platform and teams who care about what they’re building, you’ll have the opportunity to shape the future of an industry that never stands still.

About the Business Analytics Manager - Dynamic Revenue Plus role…

Dynamic Revenue+ (DR+) is transforming how hotels make pricing decisions using data, automation and advanced revenue optimisation. We are seeking a Manager – Business Analytics to build and lead the analytical foundation that powers product innovation, commercial strategy and business growth.

This role combines business analytics, product analytics and commercial intelligence. You will partner closely with Product, Engineering, Revenue Management, Commercial, Customer Success and Leadership teams to generate insights that improve product adoption, customer outcomes and financial performance.

 

What you’ll do…

Business Performance Analytics

Own reporting and insights across key business metrics including:

  •  ARR and MRR growth

  •  Customer acquisition and activation

  •  Attach rates & Gross margin

  •  Revenue uplift & Expansion revenue

  •  Customer retention and churn

  •  Customer Lifetime Value

  •  Forecast accuracy

Provide clear recommendations that improve business performance.

Product Analytics

Measure and Optimize:

  •  Feature adoption & Feature usage trends

  • User engagement

  •  Pricing recommendation acceptance

  •  Customer activation funnels & Customer behavior

  •  Product retention & Product health metrics

Partner closely with Product teams to evaluate feature effectiveness and prioritize improvements.

Revenue & Pricing Analytics

Evaluate:

  •  ADR performance & RevPAR improvements

  •  Occupancy trends & Booking windows

  •  Dynamic pricing effectiveness & Price elasticity

  •  Market demand patterns & Competitive pricing behaviour

Support continuous optimisation of pricing algorithms.

Commercial Analytics

Support Sales and Customer Success through:

  •  Customer segmentation

  •  Market opportunity analysis & Win/loss analytics

  •  Pricing strategy & Pipeline analytics

  •  Upsell opportunity identification & Expansion modelling

Experimentation & Decision Science

Design, execute and evaluate:

  •  A/B tests

  •  Product experiments & Pricing experiments

  •  Customer pilots & Market rollouts

  •  Feature performance analyses

Apply statistical techniques to generate reliable business insights.

Executive Insights

Move beyond reporting by answering:

  •  What changed?

  •  Why did it happen?

  •  What is the business impact?

  • What should we do next?

Become a trusted advisor for data-driven decision making across the DR+ organization.

 

What you have…

  • Extensive experience in Business Analytics, Product Analytics, Commercial Analytics or Revenue Analytics.

  • Strong SQL expertise and Advanced Python for analytics and automation.

  • Experience with Tableau, Power BI, Looker or equivalent BI platforms is a plus.

  • Strong understanding of statistics, forecasting and experimentation.

  • Experience translating complex analyses into executive recommendations.

  • Excellent communication and storytelling skills

 

Our Perks & Benefits…

- Mental health and well-being initiatives

- Generous parental (including secondary) leave policy

- Flexibility to work in a Hybrid model (3 days in-office)

- Paid birthday, study and volunteering leave every year

- Sponsored social clubs, team events, and celebrations

- Employee Resource Groups (ERG) to help you connect and get involved

- Investment in your personal growth offering training for your advancement

Think this role sounds like you? If so, we’d love to hear from you. Please send us your resume and our Talent Acquisition team will be in touch.

 

When you apply, feel free to share your pronouns and let us know if you need any adjustments during the interview process, we’re here to support you. We also warmly encourage applications from people from underrepresented backgrounds.

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