Data Analyst

October 25

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Remote

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HR Tech • SaaS • Enterprise

Remote is a global HR platform that simplifies the process of hiring, onboarding, managing, and paying employees and contractors worldwide. It offers comprehensive solutions for recruitment, payroll management, contractor management, and compliance. The platform supports businesses in handling HR tasks seamlessly and efficiently, ensuring fast and compliant payouts, providing employer of record services, and facilitating employee benefits and equity offerings. Additionally, Remote integrates with various HR systems, allowing for a flexible, scalable, and reliable solution for businesses looking to expand globally.

501 - 1000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

📋 Description

• Track and analyze the B2B marketing funnel (lead generation → MQL → SQL → opportunity → revenue) to identify drop-off points and performance trends at a granular level for paid advertising. • Develop or refine multi-touch attribution models to evaluate channel impact across the buyer journey. • Good understanding of paid as an acquisition channel and the technical setup behind signal/conversion architecture • Build and maintain projected lifetime value (LTV) models to forecast the long-term revenue potential of different customer segments and acquisition channels and send signals back to ad platforms • Build and maintain dashboards in tools like Sigma, Clarisights • Support paid marketing budget allocation and pipeline forecasting using historical data and predictive modeling. • Partner with RevOps to ensure CRM and marketing automation data integrity (e.g., HubSpot, Salesforce, Marketo, Pardot). • Translate analytics insights into business recommendations for marketing and sales leaders.

🎯 Requirements

• Bachelor’s degree in Marketing, Statistics, Business Analytics, Economics, or related field. • 3–5 years (for manager) experience in marketing analytics, preferably in a B2B SaaS or enterprise environment. • Strong understanding of the B2B marketing funnel and key metrics (MQLs, SQLs, pipeline, CAC, LTV, etc.). • Proven experience developing or applying projected LTV models to guide marketing investment and retention strategies. • Solid SQL and Excel skills; familiarity with Python or R for data analysis a plus. • Experience working with CRM and marketing automation platforms (Salesforce, HubSpot) • Proven ability to present insights clearly to non-technical stakeholders. • Writes and speaks fluent English • It's not required to have experience working remotely, but considered a plus

🏖️ Benefits

• work from anywhere • flexible paid time off • flexible working hours (we are async) • 16 weeks paid parental leave • mental health support services • stock options • learning budget • home office budget & IT equipment • budget for local in-person social events or co-working spaces