Question
2-5

Senior Data Analyst

1/5/2026

The Senior Data Analyst will serve as the primary analyst for North America clients, ensuring the stability and performance of predictive models. This includes analyzing complex datasets, retraining models, and developing new analytical approaches.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

No

About The Company
Voyantis empowers growth teams at companies like Miro, Rappi, Nerdwallet, P&G and Deel to effortlessly attract and retain their top customers with our prescriptive AI. As a Value-Bidding partner, our AI helps clients attract high-value customers on Google, Meta, and TikTok, then delivers timely actions to effectively activate, engage, nurture, and retain them. Customers report a 20%-50% increase in ROAS, at least 35% more high-value subscriptions, more than 25% increase in ARPU, and at least a 25% reduction in CAC
About the Role

We are looking for an excellent Senior Data Analyst to join our growing team in New York!

This role is a critical addition to our Live Clients Teams, which are responsible for ensuring the ongoing success and stability of our clients' predictive models.

In this role, you will serve as the primary Data Analyst for our North America clients, working closely with New York-based Client Partners. You will ensure the stability and performance of predictive models, retrain and develop new models as needed, and create analytical approaches for a growing portfolio of clients. Collaborating with Data Analyst, Data Operations, Product, and R&D teams, you will analyze complex datasets, generate actionable insights, and help build scalable data analysis infrastructure.


About Us

Voyantis was founded in 2020 on the premise that market fundamentals are shifting companies worldwide from growth-at-all-costs strategies to efficient and responsible growth practices, with a focus on improving Unit Economics. With a bold mission to leverage AI to reimagine the whole Growth process, to streamline this transition and ensure its sustainability, Voyantis eliminates the guesswork from customer value creation, empowering leaders with actionable strategies and tactics to acquire, nurture and retain the high-value customers their businesses really need, with the actions and the timing that would be most impactful to achieve their goals.

Leading companies like Miro, Rappi and Moneylion rely on Voyantis to effectively apply these predictions. They use Voyantis to drive high-value customer acquisition on platforms like Google and Meta, optimize incentives through Salesforce and Braze, and perfectly time upsells, resulting in a 20%-40% ROI uplift.

Voyantis is well-backed by top VCs such as Target Global and SquarePeg. The company has tripled in size annually over the past two years and now boasts a team of 100 with offices in California, New York and Tel Aviv.


Responsibilities

  • Serve as the primary Data Analyst for our North America clients, working closely with New York-based Client Partners.
  • Ensure the stability and accuracy of our predictive models through analysis and complex problem-solving.
  • React to clients' data changes, analyze model and feature drifts, and retrain models as necessary to maintain performance.
  • Train new models to support clients through changes in their product, business, or marketing strategies.
  • Develop new techniques and analytical approaches to support a constantly growing portfolio of live clients.
  • Work hand-in-hand with the Tel Aviv-based Data Analyst Teams, Data Operations (monitoring and alerting), Product, and R&D teams.
  • Be in charge of analyzing complex datasets and translating them into valuable insights.
  • Build data analysis infrastructure.



Requirements

  • 3+ years of experience in a Data Analyst role – must.
  • B.Sc in Industrial Engineering, Computer Science, Mathematics, Statistics, Economics or equivalent – must.
  • Mastery in SQL and a deep understanding of the technical aspects of large ETL processes and massive data pipelines – must.
  • Excellent teamwork and communication skills, particularly for effective collaboration with remote teams.
  • Ability to work independently on large projects, and to rapidly shift focus when urgent tasks arise.
  • Experience with cloud providers such as AWS or GCP – advantage.
  • Experience working in a Linux environment – advantage.
  • Coding skills - Python (and Pandas), Bash – advantage.
  • Experience in the Marketing industry – advantage.
Key Skills
Data AnalysisPredictive ModelsSQLETL ProcessesData PipelinesCommunicationTeamworkPythonBashCloud ProvidersLinuxMarketing Industry
Categories
Data & AnalyticsTechnologyMarketing
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