Senior Analytics Engineer Job at Lime

Senior Analytics Engineer

Lime

Location:
Canada

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

90000.00 - 138000.00 CAD / Year

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Job Description:

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.

Job Responsibility:

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)

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 have:

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)

What we offer:

Offers Equity
Offers Bonus

Additional Information:

Job Posted:
February 20, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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