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7 дней назад

Lead, Data Analyst (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Philippines
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead, Data Analyst (Fintech): Building certified marketing datasets, SQL and Databricks queries, and dashboards to analyze lead flow, nurture performance, and conversion across Salesforce and Salesforce Marketing Cloud with an accent on funnel analytics, campaign research, and financial-services data. Focus on reconciling source systems, validating AI-assisted research, applying privacy and consent rules, and presenting actionable findings to Marketing, Sales, and RevOps leaders.

Location: Manila, Philippines; onsite

Company

Axos delivers technology-driven financial tools and services for individuals, small businesses, and companies, with Axos Financial publicly traded on the New York Stock Exchange.

What you will do

  • Analyze marketing and sales lead performance across sources, nurture journeys, MQL-to-SQL-to-opportunity-to-closed or funded conversion, follow-up SLAs, stages, segments, and channels; recommend improvements to nurturing, scoring, and routing.
  • Build and maintain SQL and Databricks queries, certified datasets, metric definitions, and Tableau or Databricks dashboards for Marketing and Sales reviews.
  • Support campaign planning and readouts through segment, channel, audience, journey, and target-performance analysis.
  • Conduct market and campaign research with Claude and other approved AI tools, producing cited and validated briefs from industry reports, news, and product and rate information.
  • Prepare and enrich contact and account data, apply suppression and consent rules, validate Salesforce and source-system data, investigate anomalies, and perform QA before publication.
  • Present findings and recommendations to Marketing, Sales, RevOps, and business-unit stakeholders; collaborate with U.S. and Axos Business Center sites and share knowledge.

Requirements

  • Expert SQL skills, including complex joins, window functions, cohort and funnel logic, and reconciliation across systems; comfortable with Databricks Delta tables and notebooks or able to become proficient within 60 days.
  • Extensive Salesforce experience as an analyst or power user, including Leads, Contacts, Accounts, Opportunities, Campaigns, lead assignment and conversion, reports, and dashboards; Salesforce Marketing Cloud or a comparable nurture platform.
  • Lead nurturing and lead analytics experience, including journey and cadence design, scoring inputs, MQL and SQL definitions, and attribution of pipeline and closed business to marketing and sales activity.
  • Financial services experience in banking, lending, wealth or advisory, insurance, or fintech, with an understanding of lead qualification and opportunity progression.
  • Hands-on use of Claude or comparable AI tools for research, extraction, and summarization, with disciplined validation and source citation.
  • Analytical rigor and attention to detail, including reconciling numbers, questioning anomalies, and testing conclusions before sharing them.
  • Excellent concise written and spoken communication with business stakeholders; collaborative, humble, curious, and eager to learn and grow.
  • Comfort working in a regulated environment with privacy, consent, and compliance requirements.

Nice to have

  • Python with pandas, Tableau, or Databricks Genie experience.
  • Experience with contact-enrichment or data-provider tools and matching or deduplicating records across systems.
  • Market research experience in financial services.
  • Bachelor's degree in Business, Finance, Economics, Marketing Analytics, Information Systems, or a quantitative field, or equivalent experience.
  • 3+ years of experience in marketing, sales, or revenue analytics.

Culture & Benefits

  • Work onsite in Manila as part of Axos Business Center.
  • Collaborate with U.S.-based analytics business partners, data engineering, Marketing, Sales, RevOps, and business-unit stakeholders.
  • Use approved AI-assisted tools with careful validation of every output.
  • Employment offers are contingent on successful credit, criminal background, medical, and drug screening.
  • Reasonable accommodations are available for qualified individuals with disabilities.

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