
Lyft · Toronto
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to...
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members
belong and have the opportunity to thrive.
The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products, driving top business goals
around financial metrics and marketplace performance. The team develops and improves automation & execution of driver earnings
products, develops new earnings products, and manages financial performance of these products to manage the growth of the
business.
We are looking for an analyst to join the team that is responsible for working with cross-functional stakeholders to analyze and
improve existing earnings products and manage the products’ financial outcomes within the broader Marketplace organization. You
will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic
recommendations on experimentation and product improvements. We’re looking for a data & process-driven individual who has
extraordinary attention to detail and a track record of analytical problem-solving.
existing products and develop new ones.
problem areas.
opportunities.
business issues and draw actionable conclusions.
our goals and objectives.
targeted to the audience in question.
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
programs. Biological, adoptive, and foster parents are all eligible.
Lyft is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to
make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role
will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including
on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function
of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 $83,800 CAD - $104,750 CAD, not inclusive of potential equity
offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and
geographic location. Your recruiter can share more information about the salary range specific to your working location and other
factors during the hiring process.
Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring
decisions.
This is a new position.
ABOUT THE ROLE We are seeking a Data Analyst to support P&T initiatives by analyzing data, identifying trends, and providing actionable insights to drive decision-making.This role is a unique opportunity to venture into 'uncharted territories,' focusing on how our products work and analyzing the performance of new features to drive our commercial and product strategy forward. As a Data Analyst, you will be a key player in investigating customer journeys and website search performance, providing data-driven recommendations that directly impact the user experience. Working in a fast-paced environment in a team based in Malta, Sweden, Poland, and Italy, you will have the chance to build projects from scratch, revamp dashboards, and find areas for improvement within our global gaming product. YOU WILL BE RESPONSIBLE FOR: Product Analysis: Analyze website search performance and player insights to identify "loopholes" and areas for product improvement. Stakeholder Management: Build strong, mature relationships with product owners, management, and commercial teams to communicate data-driven recommendations. Customer Journey Investigation: Use behavioral and product analytics to deep-dive into how users interact with our platforms. Dashboard Development: Collaborate with the team to revamp existing dashboards and create new tracking projects centered on product analytics. Proactive Reporting: Conduct proactive analysis of new feature performance and provide actionable insights to the wider data team. Data Unification: Help unify previously separate analysis tasks following the merger of our behavioral and commercial functions. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Professional Experience: Minimum of 2+ years of experience in a Data Analyst role, preferably within a product-focused environment. Advanced SQL: Strong proficiency in SQL for querying and managing complex data sets. Analytics Expertise: Proven experience in behavioral and product analytics, specifically investigating customer journeys. Statistical Knowledge: A solid foundation in statistics to ensure the accuracy and reliability of your findings. Communication Skills: The ability to translate complex data into clear recommendations for non-technical stakeholders. Proactive Attitude: A self-starter mindset with the maturity to take ownership of projects and build stakeholder trust. Python Proficiency: Experience using Python for data manipulation or advanced analysis. NICE TO HAVES iGaming Experience: Previous experience within the iGaming industry is considered a significant asset. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We're a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) Well-being allowance to support your active lifestyle Private health insurance Discounts across a range of retailers, gyms, bars & restaurants We offer an employee assistance program that can provide help and guidance during challenging moments. JOIN US! In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**
Vi söker en Data Analyst med fokus på DORA-regelverket. Uppdraget är ett hybridupplägg med krav på närvaro på plats 2–3 dagar per vecka. Rollen handlar i huvudsak om att arbeta nära verksamhetens intressenter för att fånga upp datakrav och fungera som stöd i datarelaterade frågor. Konsulten ansvarar för att spåra och kvalitetssäkra dataflöden så att transparens och ansvarsskyldighet upprätthålls, samt för de processer som styr inmatning, lagring och hämtning av information i registret över tredjeparts-IKT-avtal och i DORA:s regulatoriska spårbarhetsmatris. En central uppgift är att kartlägga vilket dataunderlag som registret kräver – exempelvis vilka enheter som nyttjar IKT-tjänster och hur IKT-applikationer kopplas till affärsprodukter och tjänster. Rollen innebär även löpande uppföljning och förbättring av datans kvalitet, korrekthet och fullständighet, samt att dokumentera och föreslå arbetssätt, rutiner och standarder för datastyrning. Skallkrav: God erfarenhet av Power BI, inklusive inläsning av stora datamängder, bearbetning och modellering via Power Query och Power Pivot, relationsuppbyggnad samt framtagning av interaktiva rapporter för publicering på interna rapportservrar och användning i ledningsrapportering. Förmåga att strukturera, prioritera och tidsplanera arbetet så att deadlines hålls. Tidigare erfarenhet av att samla in och registrera information i DORA Register of Information (RoI). Kunskap inom datasäkerhet och regelefterlevnad, inklusive datakryptering och åtkomstkontroll. Kännedom om samt praktisk erfarenhet av RoI:s tekniska genomförandestandard (ITS). Mycket god vana vid Microsoft Excel för dataanalys och rapportering, exempelvis formler, analysfunktioner och Power Query. Goda kunskaper i engelska. Meriterande: Stark kommunikations- och samarbetsförmåga i intressentkontakter. Förmåga att analysera datarelaterade problem och ta fram effektiva lösningar. Hög noggrannhet i arbetet med att säkerställa datakvalitet och exakthet.
This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. We are seeking a Data Analyst with a passion for uncovering insights that drive growth. This pivotal role is for a highly analytical individual who will directly influence our product, rewards, marketing, and user acquisition strategies through deep dives into user behaviour and advanced predictive modelling. Join us and become a central force in optimising our user acquisition and incentivisation, for maximising Lifetime Value (LTV) for millions of users. WHAT YOU'LL DO 🎯 * Focus on Causal Analysis: Quantify the causal impact of monetary incentives and product features on user retention. Identify the key behavioural drivers that lead to long-term LTV growth across Freecash and Link. * Design, Run and Analyse A/B tests: Own the end-to-end experimentation lifecycle (design, power analysis, execution, and interpretation). Use A/B and multivariate testing to validate causal hypotheses and drive measurable incremental growth, across different domains (product, rewards, UA) to drive incremental outcomes for business top line and bottom line. * Drive Predictive Analytics: Focus on analysing user behaviour and marketing activities to predict key metrics like Return on Ad Spend, identifying high-value user segments and opportunities for growth. * Deep User Segmentation: Lead in developing and applying advanced user segmentation models, providing actionable insights that inform product development, marketing strategies, and personalised user experiences. * Performance Optimisation & Strategy: Partner closely with Engineering, Product, and User Acquisition teams to interpret complex performance data, translate findings into strategic recommendations, and directly influence optimisation efforts. * Advanced Data Analysis & Modelling: Utilise strong SQL and Python skills to conduct sophisticated data analysis, build robust analytical models, and maintain relevant data structures that support predictive insights. * Insights Communication & Enablement: Transform complex analytical findings into clear, compelling narratives and actionable recommendations for stakeholders. Mentor and train teams on how to leverage these insights effectively, moving beyond basic reporting. WHAT YOU'LL BRING 💡 * Extensive experience (typically 4+ years) in a data analysis role with a strong focus on business performance, user behaviour, and growth metrics. * Proven experience with technical data analysis, statistics, A/B testing, data modelling and evaluation of algorithmic data solutions. * Exceptional proficiency in SQL and Python for complex data manipulation, analysis, and statistical modelling. * Strong understanding of data warehousing concepts and data modelling principles relevant to analytical outcomes. * Experience in collaborating closely with marketing, product, and data science teams to drive measurable business impact. * Ability to communicate complex analytical findings clearly and concisely to diverse audiences, influencing data-driven decisions. #LI-DNI WHAT MAKES YOU A GREAT FIT 🌟 * A Predictive Mindset: You are passionate about uncovering future trends and user behaviour through data, using insights to drive proactive strategies. * Impact-Driven & Strategic: You're not just reporting numbers; you're using them to influence key business decisions and directly contribute to revenue and user growth. * Collaborative Analytical Partner: You excel at translating complex data into actionable strategies for business stakeholders, thriving in a cross-functional environment. WHY ALMEDIA? 🎁 * Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success. * Scale With Almedia: Grow alongside a startup that has been profitable from day one. * Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin. * Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more. * We Listen: We regularly add to our benefits through rigorous employee feedback. #LI-DNI We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.