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Job Description Posted Tuesday, March 3, 2026 at 5:00 AMRole: Data AnalystWho we areAt LipDub, we’ve spent the last two years building the industry’s most advanced lip‑syncing technology to break down language barriers across e‑learning, advertising, and film. LipDub transforms existing footage to match any audio track, enabling use cases like localization, ADR, scalable marketing content, and more.Today, LipDub is the premier provider of high‑fidelity AI dubbing. Our proprietary algorithms are developed entirely in‑house by a world‑class team of researchers in computer graphics and generative modeling.Who we needWe’re looking for aData Analyst focused on Revenue Operationsto help us build a data‑driven growth engine across marketing, sales, and product.You will help turn fragmented data across our GTM systems into clear insights that drive decisions—from pipeline performance and conversion rates to campaign effectiveness and product adoption.This is a full‑time role reporting to theChief Operating Officer, working cross‑functionally withsales, marketing, product, and finance.What you’ll do Revenue and funnel analyticsAnalyze the full revenue funnel from lead → opportunity → customer to identify growth opportunities and pipeline bottlenecksBuild dashboards that track core GTM metrics such as pipeline health, conversion rates, CAC, win rates, and sales cycle lengthSupport forecasting and pipeline reporting for leadershipGTM reporting and dashboardsDesign and maintain dashboards for sales, marketing, and executive leadershipDeliver clear reporting on campaign performance, pipeline generation,



and product adoptionTranslate complex datasets into actionable insights for business leadersCRM and GTM systemsSupport the implementation and optimization of data‑heavy systems such as CRM, marketing automation, and analytics platformsEnsure data quality and consistency across sales and marketing toolsHelp define tracking frameworks for leads, pipeline stages, and revenue attributionCross-functional insightsPartner with Marketing, Sales, Finance, and Product to define and track key business metricsIdentify trends, patterns, and opportunities to improve GTM performanceSupport strategic initiatives with data analysis and modelingData infrastructure and modelingDevelop and maintain scalable data models to support reporting and analysisWrite and optimize queries to extract insights across multiple data sourcesImprove processes for data collection, transformation, and reporting What you bring3+ years experience in data analytics, revenue operations, or business analyticsStrong experience working with sales and marketing dataAdvanced Excel or spreadsheet modeling skillsProficiency in SQL and familiarity with statistical or data science tools (e.G., Python, R,



Scikit-learn)Experience working with CRM platforms (preferably Hubspot)Familiarity with BI tools such as Looker, Tableau, PowerBI, or MetabaseStrong written and verbal communication skills; able to present confidently to both partners and leadershipComfort operating in a fast‑paced, evolving setting—you take initiative, work autonomously, and move fluidly between prioritiesPrior experience in a startup or SaaS environment (an asset)What happens next After we receive your application, it will be reviewed by the Talent Acquisition team and the Hiring Manager. We will then invite successful candidates to Interview with the team. All interviews are conducted via Google Meet. This process is subject to change at any time, but will follow as close to the above as possible at all times.At MARZ, we are an equal opportunity employer that values diversity and does not discriminate on any protected characteristic as defined by applicable law. We are committed to providing reasonable employment accommodations as per the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act.We will also look to provide reasonable accommodations as required for applicants to participate in the application and interview processes. Please let us know if you require any accommodation(s). We can be reached via email at, via the Contact Us page on our company website, or via phone at. Please note that we cannot accept general applications via any of these contact methods; they are specifically for providing support and/or accommodations to those who require such assistance.#J-18808-Ljbffr

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📌 Data Analyst (Toronto)
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📍 Toronto