Senior Analytics Engineer
1 month ago
Fuel business success with the power of data at Lightspeed We're on the hunt for a savvy Senior Analytics Engineer to join our team and serve as the ultimate bridge between data insights and business strategy. As a key player in our Data Office, you'll partner closely with our Hospitality Customers organization, wielding your exceptional communication skills and business acumen to translate complex data into actionable insights, decode user behaviour, and drive our customer acquisition and retention strategies.
Role:
- Partner closely with our Hospitality Customers organization to decode their business objectives and transform raw data into actionable insights that drive strategic decision-making
- Translate complex datasets into understandable, actionable insights that can be easily consumed by stakeholders across the business
- Present compelling data stories and visualize insights that captivate our business partners and inform decision-making across the organization
- Roll up your sleeves and dig into various sources to collect and model data to shed light on the “Voice of the Customer” and uncover untapped opportunities
- Develop and implement predictive models to forecast customer behaviour and product performance
- Design and develop intuitive, customer-facing templates that highlight gaps in product usage, offering clear recommendations to enhance engagement, improve retention, and increase product stickiness
- Team up with fellow data practitioners to shape the development of data products that empower our teams
- Ensure data integrity and contribute to automation and monitoring
- Promote and uphold data governance principles to safeguard our data assets and empower our teams to make data-driven decisions with confidence
- Actively contribute to the construction of the Data Office and the achievement of its collective objectives
What you will bring to the team:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 5+ years of experience in #analytics engineering or a related role, preferably within a SaaS environment
- Proven experience in #data analytics with a focus on #customers and SaaS subjects
- Experience in the #Hospitality industry will give you a headstart
- Advanced SQL skills
- Strong business acumen and a knack for bridging the gap between technical insights and business strategy
- Excellent verbal and written communication skills to articulate complex insights with clarity and impact
- Familiarity with GCP, BigQuery, Dataform, Looker and GitHub is a plus, along with experience in Salesforce
- Excellent organizational skills, self-starter mentality, and the ability to drive projects autonomously in a fast-paced setting.
What’s in it for you:
- Join a growing team and help us move to the next level
- Amazing benefits & perks, including equity for all Lightspeeders
- Constant development of both your skill set and business acumen with limitless growth opportunities
- Lots of autonomy, flexible work culture
- Innovation time to explore and learn at work
- Shaping the company by joining cultural & technical committees
- Tons of growth opportunities in technical or people management roles
- Opportunity to join a fast-paced, high-growth company
- Opportunity to learn, expand your skill set, forge wonderful relationships and make your mark within the diverse and inclusive Lightspeed family, a true Canadian tech success story
…. And enjoy a range of benefits that will keep you happy, healthy and (not) hungry.
- Lightspeed equity scheme (we are all owners).
- Flexible paid time off and remote work policies.
- Health insurance.
- Contributions to your pension plan - RRSP.
- Health and wellness benefit of $500 per year.
- Paid leave and assistance for new parents.
- Mental health online platform and counselling & coaching services.
- Training opportunities to grow your skills and career
- Volunteer day.
- Fully stacked kitchen (hot and cold beverages, meals served)
- Happy hours to build your relationships with colleagues after work
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