Senior Marketing Analyst (Remote)

Note: We are only open to Individuals who reside in India for this position. 

About the Role:

Our marketing team runs on data across paid acquisition, field marketing and events, affiliate, and content/SEO. None of it means anything until someone turns it into a decision. This role owns that translation.

• Owning marketing dashboards and datasets across every channel, including the ETL underneath them
• Building and maintaining multiple attribution views (first-touch, last-touch), and understanding precisely why they disagree
• Writing Python ETL that survives upstream systems changing underneath it
• Root-causing anomalies before they reach a stakeholder
• Turning results into recommendations the marketing team can act on
• Distrusting your own numbers by default and checking them before anyone else has to
• Explaining why two valid ways of measuring the same thing disagree, not just reporting both and moving on
• Using AI tools to move faster, while always knowing when to double-check the output. We run on agentic BI workflows here and expect you to direct them, not just accept whatever comes back
• Preferring to say "I don't trust this number yet" in a meeting over shipping something polished but wrong

Requirements

About You:

• 3–5 years in analytics, marketing analytics, or data analyst roles, ideally with direct marketing/growth exposure
• Strong SQL — comfortable reading and writing complex, multi-CTE queries, and tracing logic through unfamiliar views without a data dictionary
• Python for data pipelines — not just scripting, but building something a teammate could run again next month
• Experience with a BI tool at the dataset/semantic-layer level (Superset, Looker, Tableau, Mode) — building metrics and datasets, not only charts
• Working knowledge of marketing attribution concepts (first-touch, last-touch, multi-touch) and their trade-offs
• Demonstrated stakeholder communication — you've presented findings to non-technical audiences and adjusted the story, not just the slide design

Nice to have:

• Hands-on experience with Google BigQuery and Apache Superset
• Proven track record of owning analytics across diverse marketing channels, beyond just paid acquisition
• Practical experience integrating and directing AI agents or tools within production technical workflows, beyond basic conversational assistance

Benefits

About PriceLabs:

PriceLabs is a revenue management solution for the short-term rental and hospitality industry, founded in 2014 and headquartered in Chicago, IL. Our platform helps individual hosts and hospitality professionals optimize their pricing and revenue management, adapting to changing market trends and occupancy levels.

With dynamic pricing, automation rules, and customizations, we manage pricing and minimum-stay restrictions for any portfolio size, with prices automatically uploaded to preferred channels.

Every day, we price over 600,000+ listings globally across 150+ countries, offering world-class tools like the Base Price Help and Minimum Stay Recommendation Engine.

In 2025, we scaled to;

• 600K+ listings
• 160+ integrations
• 300+ globally remote team
• 70K+ customers worldwide
• 40% diversity

Industry awards won:

• SaasBoomi 2021
• The Shortyz 2020
• The Shortyz 2023
• STRive Awards 2025
• STRive Awards 2026

We continue to grow exponentially backed by a strong team to take us to the next level.

Why join PriceLabs?

• Work with an industry-leading product that has thousands of customers worldwide, and our customers love the product! (NPS in the 70s, Customer reviews here)
• Work with a global team (18 countries and counting) of passionate individuals that accept open communication, empowerment, and a shared focus on customer success.
• We are a freemium product, so marketing leads the charge on customer acquisition.
• We are a remote-first organization and accept work from home as the norm.

PriceLabs is an equal opportunity employer. We are committed to providing equal opportunity in all aspects of employment. We do not discriminate on the basis of race, colour, religious creed, national origin, ancestry, sex, age, veteran status, marital status or physical challenges.