Senior Product Analyst – Lead Generation

🔥 5 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔍 Product Analyst

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HighLevel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

💼 Consulting

📦 Logistics

☁️ SaaS

💰 Series A on 2021-11

Consulting • Logistics • SaaS

HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.

📋 Description

• Own end-to-end product analyses across Funnels, Websites, Forms, Surveys, Domains, SEO, Listings, and other LeadGen products • Define success metrics and measurement frameworks covering activation, adoption, engagement, retention, conversion, and monetization • Build and maintain dashboards for Product Managers and leadership • Lead funnel and customer journey analyses to identify friction and drop-offs • Conduct cohort, segmentation, and retention analyses across customer segments and lifecycle stages • Size opportunities, validate hypotheses, evaluate trade-offs, and support initiative prioritization • Define measurement plans, establish baselines, and evaluate feature adoption and outcomes after release • Define events, properties, tracking requirements, and instrumentation with Product, Engineering, and Data teams • Identify data quality issues and tracking gaps and improve product analytics reliability • Design and analyze A/B tests and product experiments • Contribute to requirements definition, feature validation, success criteria, and pre-launch validation • Lead customer research and combine qualitative research with quantitative data and support-ticket signals • Lead deep-dive and root-cause analyses when metrics change unexpectedly • Recommend improvements to lead generation, conversion rates, product adoption, engagement, and retention • Present decision-oriented findings, recommendations, trade-offs, assumptions, and limitations to stakeholders • Contribute to analytical practices, metric definitions, and documentation • Mentor junior analysts and facilitate discovery discussions with Product, Design, and Engineering

🎯 Requirements

• 4–7 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role • Strong proficiency in SQL, including complex joins and window functions • Ability to independently own analytical projects end to end • Experience leading customer research, including interviews and surveys • Experience with competitive analysis • Experience with product analytics or BI tools such as Amplitude, Mixpanel, Pendo, Tableau, Looker, Power BI, or similar platforms • Strong understanding of activation, adoption, engagement, retention, conversion, churn, and monetization metrics • Hands-on experience with funnel, cohort, segmentation, retention, and user journey analysis • Experience designing or analyzing A/B tests or product experiments • Practical understanding of hypothesis testing, statistical significance, and common analytical biases • Working knowledge of event-based analytics, instrumentation, and tracking plans • Experience identifying data quality issues and validating analytical inputs • Strong proficiency with Excel or Google Sheets • Ability to build clear dashboards and communicate findings through effective data visualization • Experience partnering with Product Managers, Engineering, Design, and other cross-functional teams • Ability to communicate complex findings in simple business terms and make clear recommendations • Strong problem-solving skills, attention to detail, and ability to prioritize analytical work • Python experience with Pandas and NumPy, Google Analytics, Google Tag Manager, pixels, attribution, web analytics, APIs, or relevant domain experience are nice to have • Understanding of websites, funnels, conversion rate optimization, digital marketing, lead-generation products, B2B SaaS, MarTech, CRM, website builders, or high-growth technology companies is nice to have

🏖️ Benefits

• Global, remote-first organization • Opportunity to work with a global team across 10+ countries • Hands-on individual contributor role with independent ownership • Cross-functional collaboration with Product, Engineering, Design, Data, and GTM teams • Mentorship opportunities through mentoring junior analysts • Work supporting products used by businesses in 150+ countries

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