Staff Analyst

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $115 000 - $205 000 / an

⏰ Temps Plein

🔴 Expert

🧐 Analyste

👻 Score fantôme 4%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.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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Angi

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1995

🏪 Place de marché

👥 B2C

💰 €30 000 000 Debt Financing - Angi en 2011-10

Marketplace • B2C

Angi est une place de marché en ligne destinée aux consommateurs qui aide les propriétaires à trouver, comparer et embaucher des professionnels locaux pour des projets d'amélioration, d'entretien et de réparation de la maison. La plateforme répertorie de nombreux métiers et services — y compris la plomberie, l'électricité, la couverture, le jardinage, le nettoyage, la rénovation et plus encore — fournit des notations et des guides de prix, propose une application, et permet aux professionnels de s'inscrire et de gérer leurs entreprises. Elle publie également des guides de coûts et des recherches de projets pour aider les propriétaires à planifier leurs travaux.

Description

• Continuously improve our prospect lead scoring models, including conversion probability estimation, expected revenue modeling, and composite lead score generation ensuring scores accurately reflect prospect quality and are actionable for sales reps. • Analyze and optimize dial strategy including when to dial, how frequently to attempt contact, and resting strategy (when to temporarily pause outreach on a prospect) — using profitability and conversion data to maximize return on rep time and phone capacity. • Design and evaluate territory alignment and lead allocation strategies, including vertical-based routing (e.g., CHL vs. general floor), rep tier-based lead assignment, and Primary Work Category-level segmentation, ensuring the right prospects reach the right reps at the right time. • Build and maintain sales performance reporting across the full hierarchy from individual rep metrics (dials, dial penetration, dial saturation, submit conversion) up through manager and director views enabling leadership to quickly identify performance gaps and coaching opportunities. • Conduct prospect database quality analysis, including segmentation of the prospect pool by quality category (Good, Bad, Unsure), vertical assignment, and score-based profitability — informing headcount planning, dialing prioritization, and pipeline health. • Partner with data engineering to maintain and evolve the automated pipelines that generate daily prospect scores, distribute scored prospects to the sales floor, and replicate scoring data into downstream CRM and sales systems. • Present analytical findings and strategic recommendations directly to sales executives and operations leaders, translating model outputs and data into clear narratives that drive decisions on rep headcount, prospect mix, and outreach strategy. • Continuously evaluate model performance and iterate on scoring methodology — incorporating new feature signals (e.g., enrichment data, transcript features, affiliate/source encoding) and improving model explainability so sales reps and leaders understand why a prospect scores the way it does. • Leverage AI tools (e.g., Claude, ChatGPT, Cursor, Gemini) to accelerate the analytical workflow — from faster hypothesis generation and code authoring to synthesizing large volumes of sales data into actionable insights with greater speed and precision. • Automate repetitive analytical tasks — data pulls, report refreshes, QA, and ad hoc summarization — using AI-assisted scripting and workflow tools to maximize time spent on high-value analysis.

🎯 Exigences

• Bachelor's degree in Data Science, Economics, Statistics, Engineering, or a related field (Master's degree preferred). • 8+ years of analytical experience in a sales analytics, revenue operations, or B2B/B2C sales-adjacent environment; experience supporting an outbound sales or call center organization is a strong plus. • Strong proficiency in SQL as well as data analysis tools such as Python or R. • Expertise in data visualization tools such as Tableau, Power BI, or Looker. • Hands-on experience building and deploying predictive models (conversion probability, lead scoring, propensity models) that directly inform sales rep workflows or CRM systems. • Proven track record of integrating AI tools (Claude, ChatGPT, Gemini, Cursor, Zapier) into your daily analytical workflow as a core productivity multiplier that meaningfully shortens time to insight. • Strong communication skills to present complex data to cross-functional teams and non-technical stakeholders. • Ability to manage multiple projects independently in a fast-paced environment. • Experience mentoring junior analysts; ability to document and scale analytical processes, models, and reporting so the team’s work is maintainable and transferable.

🏖️ Avantages

• Full medical, dental, vision package to fit your needs. • Flexible vacation policy; work hard and take time when you need it. • Pet discount plans & retirement plan with company match (401K).