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Constructor · 1 month ago

Data Analyst: Prospect Data Science Integrations

Montreal, Quebec, Canada

Full-time

Onsite

Mid Level

$80K/yr - $120K/yr

3+ years exp

Constructor is a next-generation platform for search and discovery in ecommerce, optimizing for metrics like revenue and conversion rate. The Data Analyst role involves developing analytical tools, tuning AI models, and collaborating with teams to enhance product offerings and foster a strong team culture.

Artificial Intelligence (AI)Machine LearningSaaSSearch EngineSemantic Search

Growth Opportunities

Responsibilities

Develop analytical tools: Build tools and dashboards for our Account Executives to help them create better demos for prospective customers

Tune our AI models: Work closely with Account Executives to fine-tune our AI models, ensuring they are optimized to deliver the most relevant and impactful results for each prospect's unique needs

Seal the deal: Collaborate with Frontend Engineers and Account Executives to secure deals with prominent e-commerce brands

Improve product: Take initiative and perform data exploration to understand user behaviour, suggest opportunities for improving our recommendation & search systems

Champion team culture: Actively foster our team's sense of community by expanding our roster of Friday team-building games and promoting a culture of empathy, personal growth, and support for others

Qualification

BI toolingSQLPythonData visualizationE-commerce analyticsEnglish (C1 level)Communication skillsInterpersonal skills

Required

You are proficient in BI tooling (data analysis, building dashboards for engineers and non-technical folks)

You are an excellent communicator with the ability to translate business asks into a technical language and vice versa

You are comfortable managing multiple tasks simultaneously, effectively prioritizing them, and working under deadlines

You are excited to leverage massive amounts of data to drive product innovation & deliver business value

You are proficient at SQL (any variant) and well-versed in exploratory data analysis with Python (pandas & NumPy, data visualization libraries)

You are adept at fast prototyping and providing analytical support for initiatives in the e-commerce space by identifying & focusing on relevant features & metrics

You are willing to develop and maintain effective communication tools to report business performance and inform decision-making at a cross-functional level

A minimum of three years of professional experience or relevant academic experience

Excellent communication and interpersonal skills

English on C1 level (CEFR) or higher

Able to work between 7 am and 3 pm Pacific Time to support the needs of our US-based sales team