Data Analyst, Platform Excellence Ops Analytics

Lever, Inc.

Nova Scotia

Hybrid

CAD 81,000 - 86,000

Full time

30 hours ago
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Benefits offered by this job

New-hire equity grant
Fully remote work opportunity
Flexible work model
Market-competitive compensation

Job summary

Lever, Inc. is seeking a data analytics professional to improve fulfillment quality across a complex online marketplace. You will leverage performance data to identify gaps, root causes, and improvements, combining deep analysis with proactive monitoring.

Collaboration with product, engineering, and operations will turn data-driven recommendations into scalable solutions. You will influence reliability and customer experience across retailers and the marketplace, working in a cross-functional,

Qualifications

  • 1+ year in data analytics, BI, strategy, consulting, or data science.
  • Advanced SQL and Excel/Sheets proficiency.
  • Ability to synthesize complex data into clear insights.
  • Experience presenting analytical findings via slides.

Responsibilities

  • Proactively monitor retailer performance and develop dashboards for issue diagnosis.
  • Analyze fluctuations and identify root causes with corrective actions.
  • Work with large datasets to derive actionable business insights.
  • Support analytics requests, launches, and escalations; size initiatives for roadmaps.
  • Translate findings into clear narratives for stakeholders.

Skills

SQL
Excel/Sheets
Data visualization
Problem-solving
Attention to detail
Narrative communication
Ownership/independence

Education

Bachelor's degree or equivalent

Tools

Snowflake
GitHub
Jira
Tableau/Mode

Job description

This role plays a pivotal part in improving fulfillment quality across a complex online marketplace.

You will leverage operational performance data to identify quality gaps, uncover root causes, and recommend meaningful improvements.

The position combines deep analytical work with proactive monitoring, reporting, and operational problem-solving.

You will support retailer performance, fulfillment quality, launches, escalations, and strategic initiatives across the business.

Working closely with business, product, engineering, and technical stakeholders, you will turn complex data into clear, actionable insights.

The role offers a dynamic, cross-functional environment where ownership, transparency, and continuous improvement are highly valued.

It is an opportunity to directly influence reliability, operational excellence, and the experience of customers, shoppers, retailers, and the broader marketplace.

Accountabilities
  • Proactively monitor retailer performance across key fulfillment quality dimensions, developing dashboards and processes that simplify issue diagnosis and support successful retailer launches.
  • Analyze fluctuations, anomalies, and outliers across key retailer quality metrics to identify root causes, develop hypotheses, and recommend corrective actions.
  • Work with large datasets to uncover business insights and independently design and execute analytical plans that identify, understand, and reduce fulfillment quality issues with accuracy and consistency.
  • Support analytics requests, ad hoc retailer analyses, launch impact assessments, and retailer escalations, while helping size initiatives for product and analytics roadmaps.
  • Translate complex analytical findings into clear, compelling narratives through presentations and insights decks for business and technical stakeholders.
  • Partner cross-functionally with product, engineering, operations, and other teams to turn data-driven recommendations into scalable process and product improvements.
  • Establish proactive monitoring approaches that address emerging quality issues before they become larger operational challenges.
Requirements
  • 1+ year of experience in a data analytics-related role, such as business intelligence, corporate strategy, consulting, or data science.
  • Strong experience analyzing and visualizing large datasets, with advanced proficiency in SQL and Excel or Google Sheets.
  • Ability to aggregate and synthesize complex data while developing a strong understanding of both micro- and macro-level fulfillment metrics and operational systems.
  • Strong problem-solving abilities and exceptional attention to detail, with the ability to quickly identify anomalies, investigate trends, develop hypotheses, and draw nuanced conclusions from data.
  • Proficiency in PowerPoint or Google Slides, with the ability to communicate analytical findings through clear, logical, and persuasive narratives.
  • Strong sense of ownership and independence, with confidence proposing new ideas, challenging existing processes, and driving improvements without requiring constant direction.
  • Experience in a consumer marketplace or logistics environment is preferred.
  • Familiarity with Snowflake or similar data warehouses, GitHub, Jira, and visualization platforms such as Mode or Tableau is an advantage.
  • Experience collaborating directly with product and engineering teams on scalable solutions is a plus.
  • Exposure to AI-powered analytics tools, including approaches for data validation and reproducibility, is considered an additional advantage.
Benefits
  • Competitive base salary of $81,000–$85,500 CAD for candidates based in Canada.
  • Eligibility for a new-hire equity grant, along with potential annual equity refresh grants.
  • Fully remote work opportunity, with hiring currently available in Ontario, Alberta, British Columbia, and Nova Scotia.
  • A flexible work model designed to give employees greater choice in where they do their best work while maintaining opportunities for in-person connection and community building.
  • Market-competitive compensation and benefits tailored to the employee’s permanent work location.
  • An inclusive environment that values diverse perspectives, collaboration, and equitable opportunities.
  • The opportunity to influence operational quality and customer experience within a large-scale, data-driven marketplace.
  • Exposure to cross-functional projects spanning analytics, operations, product, engineering, retailers, and marketplace performance.

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