Maneuver Marketing
Data Analyst
1w ago
WorldwideRemotesqlautomation
Data Analyst responsible for reporting, performance analysis, and decision-support to drive business growth and efficiency.
Nice to have
- The following are strong-to-have — candidates without all of these are still encouraged to apply.
- • Experience in eCommerce, DTC, subscription, or consumer goods
- • Proficiency in Python or R for data manipulation or workflow automation
- • Familiarity with marketing KPIs — CAC, ROAS, MER, LTV:CAC, contribution margin
- • Familiarity with marketing concepts: customer journey mapping, funnel analysis, cohort retention, incrementality testing
- • Experience with A/B testing or experimentation frameworks
- • Experience with ETL processes, API data extraction, or data pipeline tooling
- • Familiarity with additional databases — PostgreSQL, MySQL, MongoDB, or Azure SQL
- • Experience implementing AI-powered analytics workflows or reporting automation
Other
- 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!
- 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.
- 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.
- Experience with automation, AI-powered analytics, performance marketing, and eCommerce environments is highly desirable.
- • Own and maintain the company-wide reporting infrastructure, including dashboards, KPI trackers, and automated reports
- • Build, improve, and manage recurring reports for Growth, Marketing, Product, Finance, and Operations teams
- • Design and develop executive-level dashboards that support leadership decision-making
- • Manage and iterate on existing dashboards, updating metrics, adding dimensions, and evolving reporting as the business changes
- • Own data quality and governance, metric definitions, documentation, and reporting standards
- • Ensure accuracy, consistency, and reliability of all business metrics and data outputs
- • Partner with engineering and operational teams to improve data collection, tracking, and pipeline reliability
- • Leverage AI tools and advanced analytics techniques to improve reporting efficiency and insight generation
- • Independently build and maintain data pipelines using dbt or equivalent to support clean, reliable analytical layers
- • Partner closely with the Growth team to analyze performance across paid media channels
- • Evaluate campaign performance, customer acquisition trends, CAC, ROAS, MER, LTV, retention, and other growth metrics
- • Conduct deep-dive analyses to identify growth opportunities and performance drivers
- • Analyze promotional performance and measure the impact of marketing initiatives
- • Monitor and evaluate product performance across SKUs, channels, and markets
- • Analyze purchasing patterns, customer segmentation, pricing impact, and promotional effectiveness
- • Identify opportunities to improve product assortment, pricing decisions, and inventory allocation
- • Provide recommendations based on quantitative analysis and business impact
- • Respond to analytical requests from cross-functional teams with structured, business-ready outputs
- • Investigate business challenges, identify root causes, and present actionable recommendations
- • Support experimentation and A/B testing efforts — helping design tests, interpreting results, and communicating outcomes to stakeholders
- • 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
- • Flag data integrity issues proactively and drive resolution across relevant teams
- • Support experimentation and hypothesis testing as the role and business matures
- • Advanced SQL — window functions, CTEs, complex joins, query optimisation
- • Proficient in at least one BI tool — Tableau, Power BI, Looker, Metabase, or similar
- • Experience with a cloud data warehouse — BigQuery, Snowflake, Redshift, or Databricks
- • Experience with data transformation tools and ETL concepts — dbt, Databricks, or equivalent
- • Strong Excel or 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
- • Awareness of analytical models — subscription LTV, cohort analysis, funnel metrics
- • Familiarity with A/B testing methodology — experiment design and hypothesis testing
- Communication, Collaboration & Adaptability
- • Communicates findings clearly to both technical and non-technical audiences
- • Adapts output and framing for different stakeholders — executives, growth, product, operations
- • Collaborative across functions; coordinates effectively with VAs and cross-functional teams
- • Comfortable with ambiguity, shifting priorities, and self-directed learning
- • 3 to 5 years in Data Analytics, Business Intelligence, or a related field
- • Proven experience independently building dashboards, automated reporting and strategic analysis
- • Own and automate reporting across key business functions, reducing manual effort and improving data
- reliability
- • Independently build and maintain data pipelines in collaboration with engineering and operations,
- reducing dependency on manual data pulls
- • Drive analytical ownership for the Growth team — from campaign performance to retention and product
- analytics
- • Deliver insights that directly influence marketing efficiency, budget allocation, and promotional
- decisions
- • Improve visibility into product and promotional performance across SKUs and channels
- • Coordinate VAs effectively on data tasks, ensuring quality and consistency of outputs