About Us
ZAGENO offers the largest life sciences lab supply marketplace. Our one-stop shop helps scientists, lab managers, and procurement leaders compare products, source alternatives, track deliveries, and communicate order statuses in real time, accelerating innovation by saving valuable time. Leveraging advanced AI, ZAGENO enhances supply chain resilience and makes the customer experience superior, seamlessly integrating with existing systems to boost productivity and make online shopping for research materials convenient, efficient, and reliable. We are committed to innovation, excellence, and fostering a supportive, and dynamic work environment.
As we continue to scale globally, we’re seeking a Senior Manager/Director, Data Analytics in India to strengthen our analytics foundation and enable smarter, data-driven decisions across the organization. This is an exciting opportunity to shape the future of analytics in a fast-growing, mission-driven startup that bridges technology, science, and operations.
About the Role
The Senior Manager/Director, Data Analytics will lead a small but impactful team of data professionals responsible for delivering insights that influence strategic and operational decisions across Product, Finance, Operations, and Commercial functions.
You will combine hands-on technical work with leadership, building scalable reporting and data models while mentoring your team and collaborating with business leaders. This role is ideal for someone who thrives in a global, fast-paced environment and enjoys turning complex datasets into clear, actionable insights.
Key Responsibilities
- Lead and mentor a team of analysts and data scientists to deliver accurate and meaningful data insights supporting key business objectives.
- Collaborate with Product, Finance, Operations, and Commercial teams to identify and prioritize analytics initiatives.
- Design and maintain automated dashboards and performance metrics using tools such as Looker, Tableau, DBRX or Power BI.
- Drive the development of scalable data models, ETL processes, and data quality frameworks in collaboration with engineering.
- Translate business questions into analytical frameworks and communicate findings in a clear, compelling way to leadership.
- Conduct deep-dive analyses to uncover opportunities in customer behavior, product adoption, and operational/financial performance.
- Build and promote a data-driven culture across the organization through training, enablement, and consistent data storytelling.
Qualifications
- 8+ years of total experience in data analytics, business intelligence, or data science.
- 3+ years in a leadership or team management role within analytics, preferably in a startup or high-growth tech environment.
- Strong command of SQL and experience with BI tools (Looker, Tableau, DBRX, Power BI) and modern data stack components (Snowflake, dbt, Python/R preferred).
- Demonstrated ability to translate business requirements into analytical deliverables that drive decision-making.
- Proven experience working with cross-functional global teams, including Product, Engineering, and Finance.
- Excellent communication, presentation, and stakeholder management skills.
- Bachelor’s or Master’s degree in a quantitative or analytical field (e.g., Computer Science, Statistics, Economics, or Engineering).
Preferred Qualifications
- Experience in a SaaS, e-commerce, or B2B marketplace environment—ideally within the biotech, procurement, or life sciences industry.
- Familiarity with analytics engineering concepts and cloud data platforms.
- Hands-on experience with data visualization, KPI frameworks, and performance reporting for leadership teams.
- Comfort operating in a global, distributed environment with U.S. and European counterparts.
What We Offer
- Opportunity to build and scale the analytics function within a global, mission-driven biotech tech company.
- A collaborative and inclusive culture focused on learning, innovation, and growth.
- Competitive compensation and benefits, including health insurance, wellness programs, and flexible work arrangements.
- Exposure to international teams, projects, and career growth opportunities within a fast-scaling global organization.
