Data Engineer cum Analyst

maneuvermarketing

Remote 4 Years Exp Posted 1d ago

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

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

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

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

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

Respond fast and think clearly under ambiguity.

Answer analytical requests from cross-functional teams with structured, business-ready outputs
Investigate business challenges, identify root causes, and present actionable recommendations
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

Protect data and maintain regulatory alignment.

Maintain GDPR, CCPA, and related compliance controls
Manage RBAC and column-level security in BigQuery; ensure PII masking and access restrictions
- Respond to security incidents related to data access or credentials