Senior Data Analyst - Growth & Analytics Engineering
A
Activate TalentECommerce or DTC
Philippines. Malaysia. Sri Lanka. Nigeria. India. South Africa, US Eastern Time (partial overlap)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5–8 years
- Required Skills
- SQLShopifySnowflakeA/B testingdbtLooker
Requirements
- 5–8 years of experience in analytics, business intelligence, or a related quantitative role
- At least 2+ years supporting eCommerce or DTC businesses
- Advanced SQL proficiency (Snowflake preferred)
- Ability to independently build complex queries and analytical datasets
- 3+ years of hands-on experience in growth or marketing analytics
- Experience with paid media performance analysis and customer acquisition economics
- Experience working with web or product analytics tools (Amplitude or similar) to analyze funnel and behavioral data
- Demonstrated experience designing and analyzing experiments (A/B testing, CRO)
- 2+ years of experience working with dbt or similar transformation frameworks
- Practical understanding of dimensional modeling and metric layer design
- Experience building and maintaining dashboards in BI tools (Looker or Omni preferred)
- Proven ability to independently manage ambiguous requests and translate them into structured analyses
- Strong written communication skills in a remote, asynchronous environment
- Ability to provide partial overlap with US Eastern Time for key alignment meetings
Responsibilities
- Act as a senior analytics partner to Growth, Product, and Lifecycle teams.
- Translate ambiguous questions into structured analysis and deliver clear recommendations.
- Help shape experimentation and channel strategy.
- Design, refactor, and maintain dbt models that define core business metrics.
- Improve metric consistency across BI tools and strengthen reporting reliability and scalability.
- Collaborate closely with Data Engineering and Data Science.
- Own growth and lifecycle analytics across paid acquisition, web funnel, and retention.
- Analyze Shopify, Amplitude, and marketing channel data to surface actionable insights.
- Lead experimentation analysis (A/B testing, conversion rate optimization, landing page performance).
- Develop and maintain executive-ready dashboards and reporting in Looker (with migration to Omni underway).
- Partner with stakeholders to define clear success metrics and ensure decisions are grounded in consistent definitions.
- Standardize key business definitions (e.g., CAC, LTV, retention, repeat rate) and enforce alignment across teams.
- Improve data quality through QA, reconciliation, and proactive anomaly detection across marketing, commerce, and attribution sources.
- Contribute to the evolution of our analytics layer as the company scales.
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