Data Analyst at Maneuver Marketing

Apply for the Data Analyst position at Maneuver Marketing. Own company-wide DTC eCommerce dashboards,orchestrate cloud data warehouse pipelines using SQL and dbt, and drive advanced performance marketing analytics.

About the Company: Maneuver Marketing

Maneuver Marketing is a high-growth, direct-to-consumer (DTC) health and wellness enterprise that has rapidly established itself as a major disruptor in the global supplement ecosystem. Founded just five years ago, the company scaled its digital brand from scratch to over USD $100M+ in annual sales. Serving more than 3,000,000 customers worldwide, the brand manages a high-volume operation processing an average of 4,000 daily orders across a hyper-optimised portfolio of 9 core Stock Keeping Units (SKUs).

Maneuver Marketing’s hyper-growth trajectory has earned prominent international acclaim. The company was ranked by The Financial Times as one of the Asia-Pacific region’s top High-Growth Companies and secured 2nd place at the prestigious E50 (Enterprise 50) Awards, jointly organised by The Business Times and KPMG in Singapore.

About the Role: Data Analyst

Are you a highly analytical, commercially minded data professional who loves dismantling complex business problems and turning raw event streams into profit-driving growth strategies? Maneuver Marketing is seeking a business-oriented Data Analyst to take absolute ownership of its global data reporting infrastructure, performance pipelines, and strategic decision-support engines. This position is tailored for data practitioners with 3 to 5 years of professional experience in Data Analytics or Business Intelligence.

As a Data Analyst, you will act as the centralised strategic intelligence partner to the Growth, Marketing, Product, Finance, and Executive Leadership teams. You will move past passive chart-making to build clean analytical data layers,optimize automated marketing attribution pipelines, track product cohort lifecycles, and run rigorous A/B testing frameworks. This role sits at the cutting edge of modern data operations, offering direct autonomy to incorporate AI-powered workflows, oversee virtual assistants (VAs) for data tasks, and translate massive eCommerce datasets into clear narratives.

Key Responsibilities & Data Engineering Workflows

• Reporting & Dashboard Architecture: Design, build, and maintain the company-wide reporting infrastructure. Develop, iterate, and govern executive dashboards and automated KPI trackers across Growth, Finance, and Operations.

• Data Pipeline & dbt Modelling: Independently construct, transform, and optimise clean, reliable analytical data layers within cloud warehouses using dbt (data build tool) and advanced relational transformation scripting.

• Growth & Performance Marketing Analytics: Partner with the Growth team to audit multi-channel performance marketing metrics, including Customer Acquisition Cost (CAC), Return on Ad Spend (ROAS), Marketing Efficiency Ratio (MER), and Lifetime Value (LTV).

• Product Performance & Cohort Retention: Evaluate commercial performance across SKUs, distinct markets,and sales channels. Conduct cohort analysis, funnel tracking, and purchase pattern segmentation to optimize inventory, pricing, and promotional bundles.

• Experimentation & Hypothesis Testing: Support cross-functional product experimentation matrixes by designing A/B testing methodologies, computing statistical significance, and documenting outcomes.

• AI Automation & Operational Oversight: Leverage advanced generative AI analytics utilities to streamline workflows, optimize pipeline scripts, and automate manual data pulls. Scope, review, and maintain the quality of data-related tasks delegated to Virtual Assistants.

Candidate Prerequisites & Technical Skill Stack

Candidates must possess an exceptional blend of technical data manipulation mastery, cloud database mechanics, and a sharp understanding of digital commerce unit economics.

Required Experience & Technical Base:

• Professional Tenure: 3 to 5 years of proven experience operating independently within a Data Analytics,Business Intelligence, or quantitative data science track.

• Advanced SQL Mastery: Expert-level scriptwriting fluidly incorporating window functions, Common Table Expressions (CTEs), multi-layer complex joins, and query execution optimization.

• BI Tool Competency: High proficiency engineering interactive dashboards in at least one enterprise visualization suite (such as Tableau, Power BI, Looker, or Metabase).

• Cloud Data Warehousing: Practical experience working with cloud data warehouses like Google BigQuery,Snowflake, Amazon Redshift, or Databricks.

• Data Transformation Infrastructure: Direct exposure to automated ETL/ELT architecture paradigms and transformation orchestration engines, specifically dbt.

• Analytical Modelling Core: Clear conceptual understanding of structural analytical frameworks, including subscription LTV modelling, behavioural funnel tracking, cohort retention analysis, and A/B test hypothesis design.

Preferred Qualifications & Strategic Pluses:

• DTC & eCommerce Domain Expertise: Prior analytics experience within direct-to-consumer, subscription box,retail eCommerce, or fast-moving consumer goods (FMCG) industries.

• Marketing KPI Literacy: Deep familiarity with growth marketing concepts, such as customer journey mapping, incrementality testing, contribution margin tracking, and LTV-to-CAC ratios.

• Programming Frameworks: Practical scripting capabilities in Python or R for data manipulation, statistical profiling, or workflow automation.

• Database Heterogeneity: Experience working with additional relational or NoSQL database variants (such as PostgreSQL, MySQL, MongoDB, or Azure SQL).

Core Position Specifications

• Position Title: Data Analyst

• Hiring Enterprise: Maneuver Marketing

• Corporate Scale: USD $100M+ ARR | 3 Million+ Customers Global DTC Network

• Core Department: Data & Analytics (Cross-functional Support)

• Target Location Constraints: Singapore Headquarters Core / Regionally Distributed (Refer to the official application portal for specified hub boundaries)

• Experience Tier: 3 to 5 Years of data analytics experience

• Employment Framework: Full-Time Track

• Primary Technical Anchors: Advanced SQL, dbt, Cloud Data Warehouses (BigQuery/Snowflake), BI Dashboards (Looker/Tableau), AI Workflow Automation, and DTC Growth Marketing Analytics (LTV/CAC/ROAS)