
Lead Data Strategist
2 days ago
We're seeking an exceptional Lead Data Strategist to join our team. This is a unique opportunity to leverage data science expertise and drive revenue growth for e-commerce and Amazon-based businesses.
As a Lead Data Strategist, you will be responsible for building high-conversion lead data pipelines, designing data-driven sales strategies, and analyzing key performance indicators (KPIs) to inform business decisions.
This role requires a strong understanding of data scraping, enrichment, automation, and strategy. You will work closely with cross-functional teams to develop innovative solutions that fuel startup scalability.
Key Responsibilities:- Data Acquisition & Research:
- Source and build highly targeted datasets for SaaS, Fintech & E-commerce sellers via tools, APIs, scraping, and open data platforms.
- Enrich lead data with critical sales metrics like niche/category, revenue signals, time zone, decision-maker contact, store URLs, social presence, etc.
- Design lead-gen pipelines using platforms like Clay, Apollo, ZoomInfo, LinkedIn Sales Navigator, etc.
- Data Structuring, Validation & Governance:
- Clean, validate, and deduplicate large data sets to ensure accuracy, compliance, and quality.
- Build workflows for recurring data refresh, relevance scoring, and lead prioritization.
- Implement data tagging, segmentation, and classification strategies aligned with each client niche.
- Automation & Smart Tooling:
- Develop and manage data collection automation scripts (e.g., Selenium, Puppeteer, APIs).
- Explore and integrate emerging AI or scraping tools to streamline data acquisition.
- Create SOPs and reusable systems to minimize data sourcing costs while maximizing output.
- Business Enablement & Collaboration:
- Work closely with Sales & Client Strategy teams to deeply understand business verticals and create niche-specific lead funnels.
- Own the data feedback loop: analyze outreach outcomes, iterate, and optimize data sourcing approaches.
- Act as a data consultant, helping shape the client onboarding and sales targeting process using data logic.
- Data-Driven Impact Reporting:
- Monitor the performance of each lead list across campaigns, report insights on conversion likelihood and volume.
- Build dashboards and trackers in Sheets or BI tools for internal team visibility.
Requirements:
- 2–4 years experience in Data Science, Data Analytics, Data Engineering or Growth/Data Ops (B2B or SaaS domain preferred).
- Hands-on with scraping, enrichment, automation, and data strategy.
- Proficient with:
- Scraping tools/APIs: BeautifulSoup, Selenium, Puppeteer
- Data tools: SQL, Python, Sheets, Excel, Google BigQuery
- CRM & Sales Tools: Monday, Pipedrive, Salesforce, Apollo, ZoomInfo
- Working knowledge of Ecommerce marketplace data signals is a plus.
- Strong analytical and logical reasoning with ability to turn abstract problems into structured solutions.
- Proven experience managing complex data workflows with low overhead and high impact.
- Clear communicator who can present complex findings to non-technical teams.
- Self-starter mindset, proactive, resourceful, and owns the mission like a business co-founder.
What We Offer:
- Talented teammates
- Work-life balance: 9 hours a day, 5 days a week
- Above-market salary
- Lots of learning & growth opportunities
- Trust-based culture
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