Senior Analyst, Strategy

🕒 il y a 14 jours

🗽 New York – Distant

🗽 New York – Remote

⏰ Temps Plein

🟠 Senior

🧐 Stratégie

👻 Score fantôme 13%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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High Roller

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11 - 50 employés

🎲 Jeux d'argent

🎮 Jeux vidéo

🛍️ eCommerce

Gambling • Gaming • eCommerce

L'expérience est tout. Le jeu haut de gamme. C'est High Roller. Mais nous n'avons pas besoin de vous le dire. Vous le voyez. Vous le ressentez. L'atmosphère chez High Roller respire l'exclusivité. Vous l'avez déjà vu aussi, dans les casinos de Las Vegas et Macao. Notre vision est de capturer cette exclusivité et de vous la donner. Où que vous soyez. Lancez-vous avec nous. ▶ https://highroller-careers.com/

Description

• Analyse promotions, bonuses, fee rebates, referral programmes and other customer incentives, including ROI, incrementality, acquisition and retention • Partner with Marketing and Product to define success metrics and measurement plans before campaigns launch and provide post-campaign analysis • Analyse revenue drivers including trading volume, contracts traded, fee yield, market categories and customer segments • Explain movements in revenue and key KPIs and support Finance with forecasting, budgeting and business cases • Conduct customer and cohort analysis across acquisition, activation, retention, lifetime value and profitability • Analyse user behaviour, funnels, engagement and drop-off points to identify customer-experience improvements • Define success metrics for new features and analyse performance following launch • Design and analyse A/B tests and provide recommendations based on results • Research emerging markets, new product verticals and adjacent business opportunities, including market sizing, competitors and regulatory considerations • Build financial models and business cases for new products, partnerships and opportunities • Track developments across prediction markets, exchanges, derivatives and swaps and assess opportunities for ROLR • Build and maintain Power BI reports, dashboards and datasets • Write and optimise SQL against the Microsoft Fabric data platform and help maintain consistent metric definitions • Identify data quality issues and work with relevant teams to resolve them • Turn recurring analytical requests into self-service reporting where possible • Present findings and recommendations clearly to senior stakeholders

🎯 Exigences

• At least 3 years’ experience in strategy, commercial analytics, revenue analytics, FP&A or a similar analytical role • Strong SQL skills • Proficiency in Python for analysis, automation and modelling • Experience working with ETL/ELT processes and large transactional datasets • Experience measuring promotional or marketing performance, including ROI and incrementality • Comfortable with statistical concepts including A/B testing, significance and cohort analysis • Experience building financial models and business cases in Excel • Strong commercial judgement and ability to connect data to revenue, cost and customer outcomes • Ability to take loosely defined business questions, determine the right analytical approach and turn results into clear recommendations • Comfortable managing multiple priorities and delivering accurate analysis within tight timelines • Degree in Finance, Economics, Statistics, Mathematics, Computer Science or another quantitative field, or equivalent experience • Hands-on experience with Power BI, including report development, data modelling and DAX preferred • Tableau or Looker experience considered • Experience with Microsoft Fabric, Azure Synapse or Databricks and Medallion data architectures preferred • Knowledge of financial markets and instruments including derivatives, swaps, futures or options preferred • Experience in prediction markets, financial exchanges, brokerage, sports betting, iGaming, fintech or another high-volume consumer transaction business preferred • Experience working in a regulated environment where data accuracy and auditability are important preferred • Practical experience using AI and LLM tools to support research, analysis and automation preferred • Microsoft PL-300 or another relevant certification preferred

🏖️ Avantages

• Competitive health and welfare benefits • 401(k) retirement plan with company match • Flexible vacation policy • Home office setup reimbursement • Team events and get-togethers • Access to Wellbeing mental health support

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