[Hiring] Data Engineer & Analyst @Maneuver Marketing

Role Description

Build, Scale & Operate Leading DTC Brands alongside A-Players.

What You'll Own:

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Qualifications

• Technical
  • Strong Google BigQuery expertise — SQL optimization, partitioning, clustering.
  • Advanced SQL — window functions, CTEs, complex joins, query optimization.
  • Experience with ETL tools (Daton, Fivetran, or similar) and pipeline monitoring.
  • Experience with dbt or equivalent data transformation tools.
  • Proficiency in at least one BI tool — Looker, Tableau, Power BI, Metabase, or similar.
  • E-commerce data experience (Shopify, GA4, ad platforms strongly preferred).
  • Strong Excel / Google Sheets for ad-hoc analysis.
  • Experience using AI tools for automation, workflow improvement, or analytics.
• Analytical
  • Structured problem-solving — breaks ambiguous business questions into clear analytical frameworks.
  • Independently identifies trends, risks, and opportunities without a specific brief.
  • Familiarity with subscription LTV, cohort analysis, funnel metrics, and A/B testing methodology.
• Professional
  • 4–6 years of experience spanning data engineering and analytics (or a strong hybrid track record).
  • Proven experience maintaining production data systems with strong troubleshooting and RCA skills.
  • Clear communication with both technical and non-technical stakeholders.
  • Proactive, ownership-driven mindset; ability to work independently in a remote setup.
  • Strong documentation discipline.
  • Response availability: P0 within 2 hours, P1 within 4 hours, P2 within 24 hours on Singapore business days.

Preferred Qualifications

• Experience in eCommerce, DTC, subscription, or consumer goods.
• Proficiency in Python for data manipulation or workflow automation.
• Familiarity with marketing KPIs — CAC, ROAS, MER, LTV:CAC, contribution margin.
• Experience with A/B testing or experimentation frameworks.
• Familiarity with additional databases — PostgreSQL, MySQL, MongoDB, or Azure SQL.
• Experience implementing AI-powered analytics workflows or reporting automation.

What Success Looks Like in Year One

• Data pipelines are monitored proactively, incidents are resolved fast, and business teams trust the data they rely on.
• Reporting across key business functions is automated and accurate, with reduced manual effort and clear metric ownership.
• The Growth team has a strong analytical partner — from campaign performance to retention to product analytics.
• Insights directly influence marketing efficiency, budget allocation, and promotional decisions.
• Product and promotional performance is visible across SKUs and channels, with clear recommendations for action.
• Leadership makes faster, better-informed decisions through accessible, trustworthy data.

Benefits

• Maneuver Marketing is an equal opportunity employer.
• We celebrate diversity and are committed to creating an inclusive environment for all employees.