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Lyft

Senior Marketing Analyst

Posted 15 Hours Ago
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Toronto, ON
Senior level
Toronto, ON
Senior level
The Senior Marketing Analyst at Lyft will manage the Marketing Analytics team and develop data-driven marketing strategies. Responsibilities include setting marketing KPIs, analyzing customer behavior, evaluating campaign performance, visualizing data, and conducting competitive analysis. This role requires strong analytical skills, attention to detail, and the ability to communicate insights effectively to stakeholders.
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At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data and analytics are at the heart of Lyft’s marketing strategy and decision-making. The Senior Marketing Analytics Manager is a critical strategic decision making leader within the Marketing team. As part of the Marketing Strategy and Operations team, this role will be instrumental in the development of marketing plans and strategies, and the definition and measurement of key metrics for each marketing campaign. Specific responsibilities include:

Responsibilities:

  • Manages the Marketing Analytics team members
  • Marketing Strategy: Collaborate with leaders to develop and implement data-driven marketing plans aligned with business objectives. 
  • Partner to MLT/XLT to set targets, develop framework for analysis, and execute full analysis 

Set Marketing KPIs and targets: Ensure org efforts focus on the right outcomes, aligned with brand and PMM strategy and company goalsOversee org-level tracking and reporting, and partner with CMI, FP&A and DS to size/measure impact of  initiatives and individual campaigns

  • Data Collection and Analysis: Gather data from multiple sources to analyze customer behavior, campaign performance, and market trends. 
  • Campaign Performance Evaluation: Measure the effectiveness of marketing campaigns across various channels using key metrics like click-through rates, conversion rates, and ROI. 
  • Data Visualization: Present findings through clear and concise data visualizations to effectively communicate insights to stakeholders. 
  • Trend Forecasting: Analyze data to identify emerging trends and predict future market behavior to inform strategic planning. 
  • Customer Segmentation: Segment customer data to develop targeted marketing strategies for different customer groups. 
  • Competitive Analysis: Monitor competitor marketing activities to identify opportunities and potential threats. 
  • Attribution Modeling: Analyze customer journeys to understand how different marketing channels contribute to conversions and optimize campaign attribution. 

Experience:

  • Bachelor’s degree in Business, Analytics, Statistics, or related field 
  • Nice to have: Masters: Business Administration; Economics; Statistics, Supply Chain or related area
  • 5-8 years’ experience in data analytics, project management, business, or related 
  • People management experience 
  • Strong ability in building decision making frameworks and data analysis, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions
  • Very strong attention to detail, experience developing processes to implement strategy
  • Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
  • Strong written and verbal communication skills for internal stakeholders, including senior leadership
  • Ability to effectively and independently build and maintain cross-functional relationships with stakeholders, manage multiple competing priorities, and drive projects to completion
  • Experience with a two-sided marketplace is especially desirable
  • Highly proficient in SQL and Excel/Google Sheets; Proficiency in Python is a plus
  • Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.  Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $129,000 - CAD $161,250. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Top Skills

Python
SQL

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