Senior Data Analyst (Growth & Analytics Engineering)
Activate Talent
Job Overview
Location
Remote
Employment Type
Full-time
Work Arrangement
Remote
Sector
Information Technology & Software
Experience Level
Senior (5-8 years)
Application Deadline
April 28, 2026
About the Company
Job Description
We are seeking a highly skilled Senior Data Analyst to join a dynamic team focused on Growth and Analytics Engineering. This role offers a fully remote opportunity, allowing you to contribute from anywhere.
In this position, you will serve as a senior analytics partner to Growth, Product, and Lifecycle teams. Your primary responsibility will be to translate complex, often ambiguous, questions into structured analyses. You will deliver clear, actionable recommendations and play a key role in shaping experimentation and channel strategies. As you integrate into the team, you will take on increasing ownership of the analytics layer within our modern data stack.
This includes designing, refactoring, and maintaining dbt models that define our core business metrics. You will also focus on improving metric consistency across BI tools and strengthening the reliability and scalability of our reporting infrastructure. Collaboration is key, as you will work closely with Data Engineering on pipelines and infrastructure, and with Data Science on advanced modeling and forecasting, while owning the analytical semantic layer that bridges raw data to critical decision-making.
To apply for this role, click the Apply button on this page and follow the instructions.
Required Skills
Key Responsibilities
- Own growth and lifecycle analytics across paid acquisition, web funnel, and retention.
- Analyze Shopify, Amplitude, and marketing channel data to surface actionable insights that influence budget allocation and experimentation strategy.
- 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.
- Design, refactor, and maintain core data marts in dbt to ensure metric consistency and scalable reporting.
- 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.
- Collaborate with Data Engineering on upstream model design and with Data Science on downstream analytical use cases.
- Contribute to the evolution of our analytics layer as the company scales.
Qualifications
- 5–8 years of experience in analytics, business intelligence, or a related quantitative role, with at least 2+ years supporting eCommerce or DTC businesses.
- Advanced SQL proficiency (Snowflake preferred) with the ability to independently build complex queries and analytical datasets.
- 3+ years of hands-on experience in growth or marketing analytics, including 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, with 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 (full-day overlap not required).
How to Apply
To apply for this role, click the Apply button on this page and follow the instructions.
Join Our Communities
The Nigerian data analytics landscape is rapidly expanding, driven by digital transformation across sectors. This role is pivotal in shaping that growth by partnering with Growth, Product, and Lifecycle teams. You will leverage advanced analytics, including API integrations, data warehousing, and ETL processes, to drive strategic decisions. Your impact will be measured by your ability to translate complex data into actionable insights, directly influencing business ROI and scaling growth initiatives. This position demands a strategic thinker capable of owning the analytics layer and enhancing data-driven decision-making.
Posted Date
April 13, 2026
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