Lead Analyst, Data at BenchSci

Toronto, Ontario, Canada

BenchSci Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AnalyticsIndustries

Requirements

  • 7+ years of experience in data analytics, with a significant portion in a senior role
  • Proven track record of mentoring a team of data analysts
  • Expertise in translating complex business objectives into a strategic technical roadmap
  • Strong project management and leadership skills, with a history of delivering high-impact projects
  • Advanced proficiency in SQL and deep experience with data modeling in dbt
  • Experience with Github and establishing robust change control processes
  • Extensive experience with web analytics/tracking tools like Heap
  • Expert knowledge of business intelligence and visualization tools (e.g., Tableau, Looker)
  • Exceptional communication and presentation skills, with the ability to influence and engage both technical and non-technical stakeholders
  • A passion for driving analytical excellence and establishing best practices across an organization

Responsibilities

  • Define the data analytics strategy for BenchSci, overseeing the development and execution of core projects, and establishing governance for documentation and code changes
  • Lead the implementation and optimization of all analytical tools, ensuring our data stack is robust, scalable, and aligned with business goals
  • Propose and lead strategic analytical initiatives, defining key results that directly address core business challenges and contribute to company objectives
  • Establish and evangelize analysis methodologies, reporting standards, and data visualization best practices across the organization
  • Partner with stakeholders to translate high-level business questions into detailed measurement plans, KPIs, and actionable outputs
  • Oversee complex analytical tasks, including data modeling in dbt, event creation in Heap, code reviews in GitHub, data source management, and quality assurance
  • Lead the hiring and professional development of the data analyst team, providing mentorship, performance feedback, and guidance on project execution and skill development
  • Present and articulate complex insights and recommendations to executive leadership and diverse audiences with clarity and conviction
  • Strategically manage project timelines and resource allocation, balancing proactive initiatives with ad-hoc requests to meet business needs
  • Collaborate with senior leaders across marketing, sales, customer success, and operations to understand their strategic needs and identify opportunities to enhance our data offerings

Skills

data analytics
business intelligence
dbt
Heap
GitHub
data modeling
data visualization
SQL
ETL
KPIs
code review
data governance

BenchSci

AI-driven platform for preclinical research

About BenchSci

BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.

Toronto, CanadaHeadquarters
2015Year Founded
$156.6MTotal Funding
SERIES_DCompany Stage
AI & Machine Learning, BiotechnologyIndustries
201-500Employees

Benefits

Remote-first culture
Equity options
15 days vacation + additional day every year
Unlimited flex time
Comprehensive health & dental benefits
Psychotherapist services
Annual Learning & Development budget
Home office set-up budget
Wellness, lifestyle & productivity spending account

Risks

17% workforce reduction may impact morale and innovation at BenchSci.
Heavy reliance on external funding poses financial risks if future rounds falter.
Rapid team expansion could lead to integration challenges and inefficiencies.

Differentiation

BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.
ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.
BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

Upsides

$95M Series D funding boosts BenchSci's AI platform development and market reach.
Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.
Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

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