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.
What You'll Do:
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).
About You:
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.
Preferred Experience:
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).
The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.
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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [email protected] for assistance.
