Strong Google BigQuery expertise, including SQL optimization, partitioning, and clustering.
Advanced SQL skills, including window functions, common table expressions, complex joins, and query optimization.
Experience with extract, transform, and load tools such as Daton, Fivetran, or similar, and pipeline monitoring.
Experience with dbt or equivalent data transformation tools.
Proficiency in at least one business intelligence tool, such as Looker, Tableau, Power BI, or Metabase.
E-commerce data experience, particularly with Shopify, Google Analytics 4, and advertising platforms.
Strong Excel or Google Sheets skills for ad-hoc analysis.
Experience using artificial intelligence tools for automation, workflow improvement, or analytics.
Structured problem-solving ability to turn ambiguous business questions into clear analytical frameworks.
Ability to independently identify trends, risks, and opportunities without a specific brief.
Familiarity with subscription lifetime value, cohort analysis, funnel metrics, and A/B testing methodology.
Four to six years of experience spanning data engineering and analytics, or a strong hybrid track record.
Proven experience maintaining production data systems with strong troubleshooting and root-cause analysis skills.
Ability to communicate clearly with technical and non-technical stakeholders.
Ability to work independently in a remote setup.
Strong documentation discipline.
Availability to respond to P0 issues within two hours, P1 issues within four hours, and P2 issues within 24 hours on Singapore business days.
Responsibilities
Monitor, build, and respond to Daton pipeline alerts, tracking latency, freshness, and completeness across source systems.
Investigate pipeline failures and perform root-cause analysis at the pipeline, quality-control and validation, and application programming interface or source-system levels.
Create and enhance data pipelines, onboard new platform integrations, and implement logic changes to existing integrations.
Coordinate with source-system owners and vendors when issues originate upstream.
Optimize query performance and warehouse costs by implementing table partitioning, clustering, and incremental-load strategies.
Maintain documentation for pipeline logic, schema changes, and incidents, including a continuously updated change log.
Design and maintain automated quality-control checks for nulls, duplicates, ranges and boundaries, valid values, referential integrity, and business-logic validations for key performance indicators.
Perform daily validation of critical metrics against source user interfaces including Shopify, Google Analytics 4, Meta, Klaviyo, Google Ads, and Loop.
Ensure key performance indicator consistency across raw, transformed, and reporting layers.
Implement anomaly detection for key tables and metrics.
Proactively identify and resolve data-integrity issues across teams.
Build, maintain, and evolve dashboards and key performance indicator trackers for Growth, Marketing, Product, Finance, and Operations.
Design and manage executive-level dashboards that support leadership decision-making.
Own metric definitions, documentation, and reporting standards across the organization.
Use dbt or equivalent tools to maintain clean, reliable analytical layers.
Use artificial intelligence tools and automation to improve reporting efficiency and reduce manual effort.
Analyze performance across paid media channels, including customer acquisition cost, return on ad spend, marketing efficiency ratio, lifetime value, retention, and contribution margin.
Conduct deep-dive analyses to identify growth opportunities and performance drivers.
Evaluate promotional performance and measure the impact of marketing initiatives.
Support experimentation and A/B testing by helping design tests, interpret results, and communicate outcomes to stakeholders.
Monitor and evaluate product performance across stock-keeping units, channels, and markets.
Analyze purchasing patterns, customer segmentation, pricing impact, and promotional effectiveness.
Provide recommendations based on quantitative analysis and business impact.
Identify opportunities to improve product assortment, pricing decisions, and inventory allocation.
Answer analytical requests from cross-functional teams with structured, business-ready outputs.
Investigate business challenges, identify root causes, and present actionable recommendations.
Translate complex datasets and quantitative findings into clear narratives for non-technical stakeholders.
Coordinate and manage virtual assistants on data-related tasks by scoping work, reviewing outputs, and maintaining quality.
Maintain General Data Protection Regulation, California Consumer Privacy Act, and related compliance controls.
Manage role-based access control and column-level security in BigQuery, including personally identifiable information masking and access restrictions.
Respond to security incidents related to data access or credentials.
Desired Qualifications
Experience in e-commerce, direct-to-consumer, subscription, or consumer goods businesses.
Proficiency in Python for data manipulation or workflow automation.
Familiarity with marketing key performance indicators including customer acquisition cost, return on ad spend, marketing efficiency ratio, lifetime value to customer acquisition cost, and contribution margin.
Experience with A/B testing or experimentation frameworks.
Familiarity with additional databases such as PostgreSQL, MySQL, MongoDB, or Azure SQL.
Experience implementing artificial-intelligence-powered analytics workflows or reporting automation.
Build, Scale & Operate Leading DTC Brands alongside A-Players
Maneuver Marketing
Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products.
In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs.
These results caught the attention of The Financial Times, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards, jointly organised by The Business Times and KPMG in Singapore.
This is just the beginning of our journey, and you could be part of the next stage of our growth!
What You'll Own
1. Data Infrastructure & Pipeline Reliability
Keep data flowing accurately, on time, and at cost.
Monitor, build, and respond to Daton pipeline alerts; track latency, freshness, and completeness across all source systems
Investigate pipeline failures and perform root cause analysis at the pipeline, QC/validation, and API/source system level
Create and enhance data pipelines; onboard new platform integrations and implement logic changes to existing ones
Coordinate with source system owners and vendors when issues originate upstream
Optimize query performance and warehouse costs; implement table partitioning, clustering, and incremental load strategies
Maintain documentation for all pipeline logic, schema changes, and incidents, with a continuously updated change log
2. Data Quality & Validation
Build and maintain the quality layer that makes data trustworthy across the organization.
Design and maintain automated QC checks: null checks, duplicate detection, range/boundary checks, valid value checks, referential integrity, and business-logic validations for key KPIs
Perform daily validation of critical metrics against source UIs (Shopify, GA4, Meta, Klaviyo, Google Ads, Loop, etc.)
Ensure KPI consistency across raw, transformed, and reporting layers
Implement anomaly detection for key tables and metrics
Proactively flag and resolve data integrity issues across teams
3. Reporting & Dashboard Ownership
Own the company-wide reporting infrastructure.
Build, maintain, and evolve dashboards and KPI trackers for Growth, Marketing, Product, Finance, and Operations
Design and manage executive-level dashboards that support leadership decision-making
Own metric definitions, documentation, and reporting standards across the organization
Leverage dbt (or equivalent) to maintain clean, reliable analytical layers
Use AI tools and automation to improve reporting efficiency and reduce manual effort
4. Growth & Marketing Analytics
Be the analytical partner the Growth team relies on.
Analyze performance across paid media channels — CAC, ROAS, MER, LTV, retention, and contribution margin
Conduct deep-dive analyses to identify growth opportunities and performance drivers
Evaluate promotional performance and measure the impact of marketing initiatives
Support experimentation and A/B testing: help design tests, interpret results, and communicate outcomes to stakeholders
5. Product & Commercial Analysis
Turn data into commercial decisions.
Monitor and evaluate product performance across SKUs, channels, and markets
Analyze purchasing patterns, customer segmentation, pricing impact, and promotional effectiveness
Provide recommendations based on quantitative analysis and business impact
Identify opportunities to improve product assortment, pricing decisions, and inventory allocation
6. Ad-Hoc Analysis & Decision Support
Respond fast and think clearly under ambiguity.
Answer analytical requests from cross-functional teams with structured, business-ready outputs
Investigate business challenges, identify root causes, and present actionable recommendations
Translate complex datasets and quantitative findings into clear narratives for non-technical stakeholders
Coordinate and manage VAs on data-related tasks — scoping work, reviewing outputs, maintaining quality
7. Security, Compliance & Access Management
Protect data and maintain regulatory alignment.
Maintain GDPR, CCPA, and related compliance controls
Manage RBAC and column-level security in BigQuery; ensure PII masking and access restrictions
Respond to security incidents related to data access or credentials
Technology Stack
Data Warehouse: Google BigQuery
ETL & Data Movement: Daton (primary), custom pipelines, dbt
BI & Activation: Looker, Qlik, Segment (in progress)
Source Systems: Shopify, GA4, Meta Ads, Google Ads, Klaviyo, Loop Subscriptions, Recart, Postscript, PayPal, and 20+ additional sources