<h1><strong>Build, Scale & Operate Leading DTC Brands alongside A-Players</strong> <br></h1><p style="min-height:1.5em"></p><h2><strong>Maneuver Marketing</strong></h2><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em">These results caught the attention of <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.ft.com/high-growth-asia-pacific-ranking-2023">The Financial Times</a>, as they ranked us among APACs top High-Growth Companies. We have also been awarded <a target="_blank" rel="noopener noreferrer nofollow" href="https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/">2nd place on the E50 Awards</a>, jointly organised by The Business Times and KPMG in Singapore. </p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>This is just the beginning of our journey, and you could be part of the next stage of our growth!</strong></p><p style="min-height:1.5em"></p><h1>Role Overview</h1><p style="min-height:1.5em">We are looking for a highly analytical and business-oriented Data Analyst to own reporting, performance analysis, and decision-support across our business. This role will serve as a key partner to Growth, Marketing, Product, and Leadership teams by transforming data into actionable insights that drive revenue, profitability, and operational efficiency.</p><p style="min-height:1.5em">The ideal candidate combines strong technical skills (SQL is mandatory) with commercial acumen, enabling them to identify opportunities, evaluate business performance, and support strategic decision-making.</p><p style="min-height:1.5em">Experience with automation, AI-powered analytics, performance marketing, and eCommerce environments is highly desirable.</p><p style="min-height:1.5em"></p><h1>Key Responsibilities</h1><p style="min-height:1.5em"></p><h2>Reporting & Dashboard Ownership</h2><p style="min-height:1.5em">• Own and maintain the company-wide reporting infrastructure, including dashboards, KPI trackers, and automated reports</p><p style="min-height:1.5em">• Build, improve, and manage recurring reports for Growth, Marketing, Product, Finance, and Operations teams</p><p style="min-height:1.5em">• Design and develop executive-level dashboards that support leadership decision-making</p><p style="min-height:1.5em">• Manage and iterate on existing dashboards, updating metrics, adding dimensions, and evolving reporting as the business changes</p><p style="min-height:1.5em">• Own data quality and governance, metric definitions, documentation, and reporting standards</p><p style="min-height:1.5em">• Ensure accuracy, consistency, and reliability of all business metrics and data outputs</p><p style="min-height:1.5em"></p><h2>Data Pipeline & Automation</h2><p style="min-height:1.5em">• Partner with engineering and operational teams to improve data collection, tracking, and pipeline reliability</p><p style="min-height:1.5em">• Leverage AI tools and advanced analytics techniques to improve reporting efficiency and insight generation</p><p style="min-height:1.5em">• Independently build and maintain data pipelines using dbt or equivalent to support clean, reliable analytical layers</p><p style="min-height:1.5em"></p><h2>Growth & Marketing Analytics</h2><p style="min-height:1.5em">• Partner closely with the Growth team to analyze performance across paid media channels</p><p style="min-height:1.5em">• Evaluate campaign performance, customer acquisition trends, CAC, ROAS, MER, LTV, retention, and other growth metrics</p><p style="min-height:1.5em">• Conduct deep-dive analyses to identify growth opportunities and performance drivers</p><p style="min-height:1.5em">• Analyze promotional performance and measure the impact of marketing initiatives</p><p style="min-height:1.5em"></p><h2>Product & Commercial Analysis</h2><p style="min-height:1.5em">• Monitor and evaluate product performance across SKUs, channels, and markets </p><p style="min-height:1.5em">• Analyze purchasing patterns, customer segmentation, pricing impact, and promotional effectiveness</p><p style="min-height:1.5em">• Identify opportunities to improve product assortment, pricing decisions, and inventory allocation</p><p style="min-height:1.5em">• Provide recommendations based on quantitative analysis and business impact </p><p style="min-height:1.5em"></p><h2>Ad-Hoc Analysis & Decision Support</h2><p style="min-height:1.5em">• Respond to analytical requests from cross-functional teams with structured, business-ready outputs</p><p style="min-height:1.5em">• Investigate business challenges, identify root causes, and present actionable recommendations</p><p style="min-height:1.5em">• Support experimentation and A/B testing efforts — helping design tests, interpreting results, and communicating outcomes to stakeholders</p><p style="min-height:1.5em">• Translate complex datasets and quantitative findings into clear narratives for non-technical</p><p style="min-height:1.5em">stakeholders</p><p style="min-height:1.5em"></p><h2>Analytical Operations</h2><p style="min-height:1.5em">• Coordinate and manage VAs on data-related tasks — scoping work, reviewing outputs, maintaining quality</p><p style="min-height:1.5em">• Flag data integrity issues proactively and drive resolution across relevant teams</p><p style="min-height:1.5em">• Support experimentation and hypothesis testing as the role and business matures</p><p style="min-height:1.5em"></p><h1>Required Qualifications</h1><h2>Technical</h2><p style="min-height:1.5em">• Advanced SQL — window functions, CTEs, complex joins, query optimisation</p><p style="min-height:1.5em">• Proficient in at least one BI tool — Tableau, Power BI, Looker, Metabase, or similar</p><p style="min-height:1.5em">• Experience with a cloud data warehouse — BigQuery, Snowflake, Redshift, or Databricks</p><p style="min-height:1.5em">• Experience with data transformation tools and ETL concepts — dbt, Databricks, or equivalent</p><p style="min-height:1.5em">• Strong Excel or Google Sheets for ad-hoc analysis</p><p style="min-height:1.5em">• Experience using AI tools for automation, workflow improvement, or analytics</p><p style="min-height:1.5em">Analytical</p><p style="min-height:1.5em">• Structured problem-solving — breaks ambiguous business questions into clear analytical frameworks</p><p style="min-height:1.5em">• Independently identifies trends, risks, and opportunities without a specific brief</p><p style="min-height:1.5em">• Awareness of analytical models — subscription LTV, cohort analysis, funnel metrics</p><p style="min-height:1.5em">• Familiarity with A/B testing methodology — experiment design and hypothesis testing</p><p style="min-height:1.5em">Communication, Collaboration & Adaptability</p><p style="min-height:1.5em">• Communicates findings clearly to both technical and non-technical audiences</p><p style="min-height:1.5em">• Adapts output and framing for different stakeholders — executives, growth, product, operations</p><p style="min-height:1.5em">• Collaborative across functions; coordinates effectively with VAs and cross-functional teams</p><p style="min-height:1.5em">• Comfortable with ambiguity, shifting priorities, and self-directed learning</p><p style="min-height:1.5em"></p><h2>Experience</h2><p style="min-height:1.5em">• 3 to 5 years in Data Analytics, Business Intelligence, or a related field</p><p style="min-height:1.5em">• Proven experience independently building dashboards, automated reporting and strategic analysis</p><p style="min-height:1.5em"></p><h2>Preferred Qualifications</h2><p style="min-height:1.5em">The following are strong-to-have — candidates without all of these are still encouraged to apply.</p><p style="min-height:1.5em">• Experience in eCommerce, DTC, subscription, or consumer goods</p><p style="min-height:1.5em">• Proficiency in Python or R for data manipulation or workflow automation</p><p style="min-height:1.5em">• Familiarity with marketing KPIs — CAC, ROAS, MER, LTV:CAC, contribution margin</p><p style="min-height:1.5em">• Familiarity with marketing concepts: customer journey mapping, funnel analysis, cohort retention, incrementality testing</p><p style="min-height:1.5em">• Experience with A/B testing or experimentation frameworks</p><p style="min-height:1.5em">• Experience with ETL processes, API data extraction, or data pipeline tooling</p><p style="min-height:1.5em">• Familiarity with additional databases — PostgreSQL, MySQL, MongoDB, or Azure SQL</p><p style="min-height:1.5em">• Experience implementing AI-powered analytics workflows or reporting automation</p><p style="min-height:1.5em"></p><h2>Success in the First 12 Months</h2><p style="min-height:1.5em">• Own and automate reporting across key business functions, reducing manual effort and improving data</p><p style="min-height:1.5em">reliability</p><p style="min-height:1.5em">• Independently build and maintain data pipelines in collaboration with engineering and operations,</p><p style="min-height:1.5em">reducing dependency on manual data pulls</p><p style="min-height:1.5em">• Drive analytical ownership for the Growth team — from campaign performance to retention and product</p><p style="min-height:1.5em">analytics</p><p style="min-height:1.5em">• Deliver insights that directly influence marketing efficiency, budget allocation, and promotional</p><p style="min-height:1.5em">decisions</p><p style="min-height:1.5em">• Improve visibility into product and promotional performance across SKUs and channels</p><p style="min-height:1.5em">• Coordinate VAs effectively on data tasks, ensuring quality and consistency of outputs</p><p style="min-height:1.5em">• Develop sufficient working knowledge of DTC marketing and subscription concepts to provide</p><p style="min-height:1.5em">commercially grounded analysis</p><p style="min-height:1.5em">• Enable leadership to make faster, better-informed decisions through accessible, trustworthy data</p>