---
title: 'Senior Data Analyst at Lookout'
canonical: 'https://feeny.ai/job/senior-data-analyst-lookout-canada-n0615etk2qkz'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Data Analyst at Lookout

- **Company:** Lookout
- **Location:** Canada
- **Compensation:** $118k–$163k
- **Work type:** remote
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-05
- **Apply:** https://www.lookout.com/careers/job-post?gh_jid=8167606

## Job description

Lookout, Inc. is the leader in mobile AI security, delivering continuous threat exposure management for the modern, mobile-driven enterprise. Built on over 15 years of specialized expertise and informed by a global dataset analyzing hundreds of millions of mobile devices and applications, Lookout protects organizations against both behavioral and structural mobile risk.

Through its unified platform, featuring AI Visibility & Governance and the Mobile Software Exposure Center (MSEC), Lookout secures both sides of the mobile AI equation: governing user-to-AI interactions to prevent outbound data leakage while illuminating the mobile software supply chain to neutralize inbound, machine-speed vulnerabilities. By seamlessly feeding real-time mobile telemetry into broader enterprise CTEM and SOC workflows, Lookout closes the mobile exposure blind spot, enabling organizations to reduce risk and operate with confidence. To learn more, visit[www.lookout.com](https://www.lookout.com/) and follow Lookout on[LinkedIn](https://www.linkedin.com/) and[X](https://x.com/).

About the Role:

We are looking for a Senior Data Analyst to lead the company's reporting and analytics function. As the sole Data Analyst, this role serves as an internal analytics consultant, partnering with teams across the organization to turn business, product, and security data into actionable insights.

The Senior Data Analyst analyzes business operations, customer behavior, mobile application telemetry, and security event data to support decision-making, measure product performance, identify trends, and inform strategic planning. They also contribute to financial reporting, assisting with quarter-end close, invoicing and reconciliation. Success in this role requires advanced SQL skills, strong analytical and problem-solving abilities, independence, and excellent communication skills.

What You'll Do:

Business, Product & Security Analytics

- Develop and maintain executive dashboards and operational reports using Tableau.
- Analyze and contextualize:
- business metrics including revenue, customer growth, subscriptions, retention, product adoption, and operational performance.
- mobile application telemetry, customer behavior, product usage, and feature adoption.
- security event data to monitor threats, trends, anomalies, and product effectiveness.
- Partner with Finance, Sales, Customer Success, Product Management, Engineering, and Security Intelligence to address recurring and ad hoc analytical needs.
- Define and monitor KPIs and identify trends and opportunities for business and product improvement.
- Translate complex data findings into clear insights and recommendations for technical and non-technical audiences.

Data & Reporting

- Write efficient SQL queries in AWS Athena to extract and analyze large datasets stored in Amazon S3.
- Integrate data from multiple internal systems to develop meaningful reporting and analytical solutions.
- Design, develop, publish, and maintain Tableau dashboards used throughout the organization.
- Ensure data accuracy, consistency, and integrity.
- Document data sources, business rules, report definitions, and analytical methodologies.
- Identify opportunities to automate recurring reporting and analysis.

Qualifications:

Required

- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Statistics, Mathematics, Business, or a related field, or equivalent experience.
- 5+ years of experience delivering analytics or business intelligence solutions in technology, mobile applications, cybersecurity, or a related environment.
- Expert-level SQL proficiency and experience working with complex relational datasets.
- Experience with AWS Athena or a similar cloud-based analytical query engine.
- Advanced Tableau or equivalent BI platform experience.
- Strong understanding of relational databases and data modeling.
- Experience analyzing software product telemetry, application usage, or operational event data.
- Experience working with large-scale datasets in cloud environments.
- Ability to translate complex data into clear business insights and recommendations.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent written and verbal communication skills.
- Ability to manage multiple priorities and projects with minimal supervision.

## Preferred

- Experience with Python or R for statistical analysis, data exploration, and automation.
- Experience in cybersecurity, mobile applications, and/or SaaS.
- Knowledge of data governance and data quality practices.
- Familiarity with AI-enabled tools and workflows for automating reporting and analysis.

Success in This Role:

Success in this role means becoming a trusted analytics partner across the organization. The Senior Data Analyst will deliver accurate, timely, and actionable insights; proactively identify opportunities for improvement; and continuously enhance the company's reporting and analytical capabilities.

This posting is for an existing vacancy. We are actively recruiting to fill this position immediately.

The Canadian base salary range for this full-time position is available below. We offer base + bonus + equity + benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all Canadian locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in Canadian role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Remote, Canada $118,000—$163,000 CAD

## About Lookout

## Company Overview
- **One-liner**: Lookout is an AI-powered mobile-centric security platform that protects enterprises from phishing, social engineering, and account takeovers across mobile devices, networks, and clouds.
- **Entity Type**: Private (Series E; total funding $512.8M)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2007
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Computer and Network Security (mobile-centric cybersecurity)
- **Target customers**: B2B – mid-market to large enterprises, government agencies, and telecommunications carriers; also serves individual consumers (consumer mobile security)
- **Mission or purpose statement**: "Building the future of data protection" and "Freedom to explore what's possible" – enabling customers to protect sensitive data across networks, clouds, applications, users, and devices.

## Products & Services
- **Mobile Endpoint Security (MES)**: AI‑first mobile EDR that protects employee identities, corporate data, and detects phishing, social engineering, and malicious apps in real time. (SaaS / cloud platform)
- **Threat Intelligence**: Preventive AI that provides cutting‑edge mobile threat intelligence, analyzing behavior, tone, and activity to flag threats. (SaaS / API)
- **Social Engineering Protection**: Combines user behavior analytics with mobile EDR to defend against credential theft and social engineering attacks. (Feature within MES)
- **Lookout AI Visibility & Governance**: Manages risk from autonomous AI systems and AI‑driven interactions on mobile endpoints. (SaaS)
- **User Behavior Analytics (UBA)**: Monitors user actions to detect anomalous behavior and account takeovers. (Feature within platform)
- **Compliance & Security Posture**: FedRAMP Authorized, SOC 2, and GDPR compliant; helps organizations maintain compliance across mobile, cloud, and apps.

## Market Standing
- **Valuation/Market Cap**: Not disclosed privately; total funding $512.8M (latest round: Series E $55M in 2013 led by Deutsche Telekom)
- **Key Metric**: Annual Revenue ~$81.5M (LinkedIn estimate); total funding $512.8M
- **Notable Investors/Partners**: Deutsche Telekom (lead, Series E), Khosla Ventures (lead, Series A), Accel (lead, Series B), and 15+ other investors. Key carrier partnerships include global telecom operators.
- **Growth Signals**: 230M+ mobile devices scanned, 375M+ mobile apps scanned, 2,000+ SaaS apps analyzed, 1,500+ threat families identified, 16,500+ enterprises protected. Headcount of 288 employees (as of latest data) with offices in the US, India, Canada, UK, Netherlands, Taiwan, and more. Active acquisition history (CipherCloud 2021, Bluebox 2016, SaferPass 2022).

## Competitive Advantages
- **Mobile‑first, AI‑first approach**: Places AI at the foundation of threat detection, not as an afterthought – learns from vast telemetry to spot patterns missed by rule‑based systems.
- **Largest mobile threat telemetry dataset**: 15+ years of specialized mobile data from hundreds of millions of devices, providing a unique advantage in detecting mobile‑specific attacks.
- **Purpose‑built for the convergence of mobile and AI**: Addresses human‑targeted threats (social engineering, credential theft) that are the primary vector in modern breaches.
- **Deep carrier and enterprise relationships**: FedRAMP authorization and compliance with major frameworks (SOC 2, GDPR) make it trusted by governments and regulated industries.

## Strategic Focus
- **Defending against human‑element attacks**: Prioritizing protection against social engineering, phishing, and account takeovers – the most common breach vectors (74% of breaches involve the human element).
- **Expanding AI‑driven visibility & governance**: New product “AI Visibility & Governance” to manage risks from autonomous AI systems and employee AI interactions on mobile.
- **Extending mobile EDR to cover cloud and SaaS apps**: Integrating telemetry from mobile, network, and cloud to provide unified data protection.
- **Growing carrier and channel partnerships**: Leveraging telecom partnerships to embed security into mobile network services (e.g., Deutsche Telekom).

## Why Work Here
- **Culture highlights**: “People come first in everything we do” – emphasis on innovation, collaboration, and solving hard problems. Teams include Engineering, Product, Sales, Marketing, Carrier Partnerships, and People & Culture.
- **Remote/hybrid/office policy**: Hybrid model with offices in Boston (HQ) and San Francisco; work‑from‑home support and cell phone reimbursement provided. Flexible work arrangements mentioned in benefits.
- **Notable perks**:
  - Comprehensive healthcare benefits, paid parental leave, fitness reimbursement
  - Paid time off, volunteer time off, company holidays, global holiday shutdown
  - Company match for charitable donations, anniversary awards
  - All‑hands gatherings, community groups, team‑building activities
- **Engineering culture**: “We innovate and collaborate to solve hard problems. We write code that’s used across millions of devices and within enterprise businesses around the world.” Open position highlighted: Staff Backend Software Engineer (Java/Scala).
- **Employee ratings**: 3.0/5.0 on Glassdoor (263 reviews) – with work‑life balance 3.6, compensation 3.4, culture 3.4, career 2.8. (Note: mixed reviews, but positive aspects include mission and flexibility.)

## Sources
1. [lookout.com](https://www.lookout.com/company/about-lookout) – Company overview, products, metrics, mission
2. [lookout.com/careers](https://lookout.com/company/careers) – Benefits, culture, teams
3. [linkedin.com/company/lookout](https://www.linkedin.com/company/lookout) – Company details, financials, headcount, salary ranges, employee demographics

## Other roles at Lookout

- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-lookout-united-states-a3f3fn739nqc) — United States
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-bestow-united-states-gyn2np8y68hp) — United States
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-foodstuffs-north-island-mangere-8k121c35cp4w) — Mangere, New Zealand
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-8am-czech-republic-g4yz1npr9hg4) — Czech Republic
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-sait-calgary-rn53h92vg3v5) — Calgary, Canada
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-falconx-new-york-49vz9xar7br0) — New York, NY
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-dealmaker-medellin-pxjds7hz2x3x) — Medellín, Colombia
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-instacart-canada-g0etmcxwxvw8) — Canada
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-instacart-united-states-except-california-connecticut-new-gzj76kt5s73n) — United States / Except California Connecticut New Jersey New York and, WA
- [Senior Data Analyst](https://feeny.ai/job/senior-data-analyst-lookout-inc-canada-1g7f721v9nag) — Canada