Lead Analyst, Data at BenchSci

Toronto, Ontario, Canada

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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

Key technologies and capabilities for this role

data analyticsbusiness intelligencedbtHeapGitHubdata modelingdata visualizationSQLETLKPIscode reviewdata governance

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This is a full-time hybrid position requiring 2 days per week in the office.

What experience level is required for this position?

Candidates need 7+ years of experience in data analytics, with a significant portion in a senior role, and a proven track record of mentoring a team of data analysts.

What technical skills are essential for this role?

Advanced proficiency in SQL is required, along with experience in data modeling in dbt, event creation in Heap, code reviews in GitHub, and data source management.

What leadership responsibilities does this role involve?

The role includes leading the hiring and professional development of the data analyst team, providing mentorship, performance feedback, and guidance on project execution.

What makes a strong candidate for this Lead Analyst position?

A strong candidate has expertise in translating complex business objectives into strategic technical roadmaps, strong project management and leadership skills, and the ability to present complex insights to executive leadership.

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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