Senior Analytics Engineer

Lime

21h • Remote

About The Position

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.

Lime is hiring a Sr. Analytics Engineer to join our Corp Tech Data and Integrations Team. You will report to Lime’s Corp Tech Analytics Manager in the Enterprise Engineering space and partner closely with Finance & Accounting leadership to design systems with the highest levels of governance—ensuring our business performance and financial reporting data can withstand rigorous external audits.
This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.

Requirements

• 5+ years in analytics engineering / data warehousing, with a track record of designing architectures that scale in fast-growing environments.
• Deep expertise in dbt (macros, packages, performance patterns, project structuring) and a clear philosophy on how to run large-scale dbt programs with maintainability and reliability.
• You understand the complexity of financial reporting systems and data flows, including:
• ERP Fundamentals(NetSuite Preferred): transactions and GL impact, accounting periods, dimensionality (subsidiary/department/class/location), and how upstream operational events roll into Finance reporting.
• Fixed Assets / FAM: asset lifecycle data, depreciation logic (e.g., straight-line), asset resets/adjustments, roll-forwards, and auditability of asset balances.
• Planning & forecasting models (e.g., Anaplan) and how plan/actuals alignment should be modeled and governed.
• Comfort navigating General Ledger and sub-ledger complexities, including designing sub-ledger-to-GL reconciliation models and “single source of truth” definitions.
• Strong backend instincts: you think in data contracts, idempotency, late-arriving data, reprocessing, control totals, and lineage, not just dashboards.
• Demonstrated ability to influence technical and non-technical stakeholders at the Director/VP level, navigating conflicting requirements to land the best long-term solution.

Nice To Haves

• Experience designing systems under strict internal controls (SOX, audit, IPO readiness, regulated environments).
• Familiarity with orchestration tools and how they interact with the transformation layer (scheduling, backfills, retries, SLAs, observability).
• Experience implementing data quality frameworks (unit/integration tests, anomaly detection on control totals, freshness/SLA checks) and operationalizing them (alerts, runbooks, ownership).

Responsibilities

• Design the long-term technical vision for Lime’s Corporate Data Warehouse to build a robust, scalable Finance-grade semantic layer that supports Finance, Accounting, and internal Corp Tech analytics initiatives.
• Own the Finance data modeling strategy across core systems, including NetSuite and sub-ledgers, ensuring consistent definitions for key measures (revenue, COGS, asset balances, depreciation, accruals, close KPIs).
• Define and enforce standards for dbt modeling, SQL style, CI/CD workflows, documentation, and automated testing—so the entire team operates with audit-grade precision.
• Build reconciliation-ready datasets that support month-end close and audits: control totals, roll-forwards, sub-ledger to GL tie-outs, variance explanations, and transparent lineage.
• Enforce strict data governance and controls: data ownership, glossary, lineage, change management, access patterns, and automated data quality validation aligned to Finance expectations.
• Partner with Finance stakeholders (Accounting/FP&A/Finance Ops) to ensure analytics solutions support month-end close workflows, audit evidence needs, and stakeholder trust.
• Evaluate and integrate orchestration & automation capabilities that reduce manual intervention and operational risk across ingestion to transformation to reporting pipelines (including alerting/observability and SLA monitoring).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed