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Data Engineer & Analyst

Maneuver Marketing
CompanyManeuver Marketing
CategoryUncategorised
LocationIndia
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted13 Aug 2026
Last verified13 Aug 2026
SourceEmployer ATS (ashby)
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Description
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 https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-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-HO