Data Engineer, Analyst

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🕒 July 3

🌐 India, Sri Lanka – Remote

🇮🇳 India – Remote 🇱🇰 Sri Lanka – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Maneuver Marketing

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🏥 Healthcare

📣 Marketing

🏗️ Construction

Healthcare • Marketing • Construction

Maneuver Marketing is one of Singapore’s fastest growing companies, focusing on building, operating, and scaling hypergrowth health and wellness ecommerce brands. The company aims to elevate quality of life with functional supplements, disrupting traditional ways in which health and wellness brands are built. Starting from zero in 2018, Maneuver Marketing has grown rapidly to achieve an annual revenue of over USD $122 million. Beyond selling through its own online store, the company also expands through other retail channels like Amazon, seeing explosive growth. Maneuver Marketing plans on investing and offering advisory services to other brands, fostering broader positive impacts within the health and wellness industry.

📋 Description

• Monitor, build, and respond to Daton pipeline alerts; track latency, freshness, and completeness across source systems • Investigate pipeline failures and perform root cause analysis at pipeline, validation, and API/source-system levels • Create and enhance data pipelines; onboard platform integrations and implement logic changes • Coordinate with source system owners and vendors on upstream issues • Optimize query performance and warehouse costs using partitioning, clustering, and incremental loads • Maintain pipeline documentation, schema-change records, incident documentation, and change logs • Design and maintain automated data-quality checks and anomaly detection • Validate critical metrics against source UIs and ensure KPI consistency across data layers • Build and maintain dashboards and KPI trackers for Growth, Marketing, Product, Finance, and Operations • Design executive dashboards supporting leadership decision-making • Own metric definitions, documentation, and reporting standards • Maintain analytical layers using dbt or equivalent tools • Use AI tools and automation to improve reporting efficiency • Analyze paid-media performance, including CAC, ROAS, MER, LTV, retention, and contribution margin • Conduct growth, promotional, product, customer-segmentation, pricing, and inventory analyses • Support experimentation and A/B testing and communicate results to stakeholders • Answer cross-functional analytical requests with structured, business-ready outputs • Investigate business challenges and present actionable recommendations • Translate complex datasets into clear narratives for non-technical stakeholders • Coordinate and manage VAs on data-related tasks • Maintain GDPR, CCPA, and related compliance controls • Manage RBAC and column-level security in BigQuery, including PII masking and access restrictions • Respond to data-access and credential security incidents

🎯 Requirements

• Strong Google BigQuery expertise, including SQL optimization, partitioning, and clustering • Advanced SQL, including window functions, CTEs, complex joins, and query optimization • Experience with ETL tools such as 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, especially Shopify, GA4, and advertising platforms • Strong Excel or Google Sheets skills for ad-hoc analysis • Experience using AI tools for automation, workflow improvement, or analytics • Structured problem-solving and ability to independently identify trends, risks, and opportunities • Familiarity with subscription LTV, cohort analysis, funnel metrics, and A/B-testing methodology • 4–6 years of experience spanning data engineering and analytics, or a strong hybrid track record • Proven experience maintaining production data systems, with troubleshooting and root cause analysis skills • Clear communication with technical and non-technical stakeholders • Ability to work independently in a remote setup • Strong documentation discipline • Response availability: P0 within 2 hours, P1 within 4 hours, and P2 within 24 hours on Singapore business days • Experience in eCommerce, DTC, subscription, or consumer goods preferred • Python proficiency for data manipulation or workflow automation preferred • Familiarity with marketing KPIs preferred • Experience with A/B testing or experimentation frameworks preferred • Familiarity with PostgreSQL, MySQL, MongoDB, or Azure SQL preferred • Experience implementing AI-powered analytics workflows or reporting automation preferred

🏖️ Benefits

• Remote work arrangement • Equal opportunity employer • Inclusive work environment • Motivation Letter optional • Portfolio optional