Senior Data Analyst

Posted 38 Minutes Ago
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Hiring Remotely in Toronto, ON, CAN
Remote or Hybrid
140K-175K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
The magic behind your marketing.
The Role
Lead measurement, monitoring, and diagnostic reporting for AI-powered personalization models. Build scalable data pipelines in GCP and BigQuery, develop automated alerts, support A/B testing, and create Tableau visualizations. Evaluate recommender systems and propensity models using statistical and predictive analytics, integrate insights into AI products, and communicate findings to technical and non-technical stakeholders while mentoring junior team members.
Summary Generated by Built In
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

Join a team where AI isn’t a buzzword—it’s the engine of our success. We’re looking for a Senior Data Analyst to bridge the gap between deployed AI models and high-impact digital marketing. As a Senior Data Analyst, you won’t just build dashboards,you’ll architect the observability of our personalization engine. You will lead the charge in measuring, monitoring, and automating online performance diagnostics of our cutting-edge AI, transforming complex performance telemetry into scalable reporting solutions that drive measurable success for the world’s most innovative brands. 

Responsibilities:  

  • Deploy robust, commercial-grade tracking and monitoring products that redefine client expectations regarding AI transparency.
  • Seamlessly integrate breakthrough analytical insights into our core AI models suite to continuously evaluate real-world performance.
  • Engineer high-performance, scalable data pipelines in GCP and BigQuery that maintain impeccable reliability under pressure.
  • Elevate our ML Platform with industry-leading standards for performance monitoring, automated alerting, and A/B testing.
  • Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights through Tableau visualizations.
  • Diagnose and report on high-impact AI models to ensure they translate directly into tangible business growth.

Qualifications: 

  • 5+ years of experience in data analytics, with a focus on measuring and monitoring sophisticated model pipelines.
  • Master’s degree or higher in Computer Science, Mathematics, Engineering, or related technical field.
  • Proficiency in Python for scripting automated alerts and diagnostic workflows, along with experience using data analysis libraries.
  • Expertise in SQL and experience with large-scale data processing frameworks and cloud computing platforms (GCP/BigQuery, AWS/Redshift).
  • Advanced proficiency in Tableau to build interactive visualizations for online/offline evaluation, performance monitoring, and A/B testing.
  • Strong background in statistical modeling and predictive analytics for evaluating recommender systems and propensity scoring.
  • Strategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluation.
  • Strong technical leadership skills and be able to guide and mentor junior team members.
  • Able to communicate complex technical concepts to non-technical stakeholders and cross-functional teams, partnering closely with our Machine Learning Engineers.
  • Work effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneously.
  • Be detail-oriented and have a strong commitment to delivering high-quality solutions.
  • Be eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologies.


The base pay range for this position is $140,000-$175,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

Skills Required

  • 5+ years of experience in data analytics focused on measuring and monitoring sophisticated model pipelines
  • Master’s degree or higher in Computer Science, Mathematics, Engineering, or a related technical field
  • Proficiency in Python for automated alerts and diagnostic workflows, including data analysis libraries
  • Expertise in SQL and experience with large-scale data processing frameworks and cloud computing platforms such as GCP, BigQuery, AWS, or Redshift
  • Advanced proficiency in Tableau for interactive visualizations, performance monitoring, online and offline evaluation, and A/B testing
  • Strong background in statistical modeling and predictive analytics for recommender systems and propensity scoring
  • Understanding of the AI model lifecycle from discovery and experimentation through production deployment and evaluation
  • Technical leadership skills, including the ability to guide and mentor junior team members
  • Ability to communicate complex technical concepts to non-technical stakeholders and cross-functional teams
  • Ability to partner closely with Machine Learning Engineers
  • Ability to work effectively in a fast-paced, deadline-driven environment and manage multiple priorities
  • Detail-oriented approach and commitment to delivering high-quality solutions
  • Willingness to continuously learn and stay current with AI advancements

What the Team is Saying

Associate Director, Client Experience
Addiel

Movable Ink Compensation & Benefits Highlights

  • Parental & Family Support — Parental leave is highlighted as a strong area, with feedback suggesting substantial paid time for both birthing and non-birthing parents.
  • Leave & Time Off Breadth — Generous PTO and paid time off are consistently emphasized, and benefit-specific commentary cites strong vacation and time-off experiences.
  • Healthcare Strength — Medical, dental, and vision coverage are core offerings, and sentiment around health benefits trends moderately positive.

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The Company
HQ: New York, NY
600 Employees
Year Founded: 2010

What We Do

Movable Ink personalizes every customer engagement through automation and artificial intelligence. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and achieve the optimal customer experience. Headquartered in New York City with 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, and Australia.

Why Work With Us

Look closely at any Inker and you will find that our values remain heartfelt and timeless. We seek out knowledge and cultivate our intuition. We understand that communication starts by listening, understanding, and caring about others' success. We set a high personal bar, believe nothing is impossible, and commit ourselves fully to the goal.

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Movable Ink Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York, NY
London, GB
Munich, DE
Toronto, Ontario
Waltham, MA
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