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Senior Data Analyst 33 views

Remote

Ginkgo is constructing, editing, and redesigning microorganisms to answer humanity’s most pressing challenges in health, energy, food, materials, and more. Our mission is clear–to make biology easier to engineer–and it is the foundation of everything we do at Ginkgo. On the Data Team, our focus is the strategic application of data science and engineering across our business. We tackle diverse problems that span molecular biology, robotic automation, finance & business strategy, and operations, all in service of supporting data-driven decision-making. We do that through a combination of durable software tools, closely embedded analysts, and side-by-side collaboration with data engineering.
As a Senior Data Analyst, you’ll join a distributed, highly collaborative team composed of data engineers, analysts, and data scientists with a wide range of backgrounds and experiences. You’ll partner closely with stakeholders in commercial operations, finance, and accounting to build durable reports, on-board and train partners, support business processes with data, and uncover actionable insights that optimize our business operations. The Senior Data Analyst is a self-starter and strong technical contributor who will proactively identify opportunities to solve problems with data. You are highly curious and eager to learn about both the science and the business, possess analytical skills to uncover rich insights from complex datasets, and excel at communicating your work to audiences with varying degrees of technical expertise.
Every day we face new technical and scientific challenges that require deep cross-functional collaboration and novel solutions. Success in this evolving field is only possible with teams that represent diverse people, ideas, backgrounds, experiences, and ways of working. Active inclusion is core to how Ginkgo wins. We encourage individuals from underrepresented backgrounds to apply.
Please note: This is a residence-based (remote) role with a minimum requirement of quarterly travel to our headquarters in Boston, MA. Candidates must be willing to work on a distributed team and adhere to common working hours across time zones, with an expected start time of 9 AM EST.
#LI-SM1

Responsibilities

  • Collaborating closely with business partners in finance and operations to develop ad hoc data analysis, durable reports, and dashboards
  • Working with operations and planning teams to define and track performance metrics
  • Implementation of financial and compliance reporting in partnership with auditing and data engineering teams
  • Unpacking complex technical and quantitative topics for audiences with mixed levels of technical expertise, specifically translating technical and scientific concepts into business outcomes and recommendations is essential for success in this role
  • Presenting work progress, insights, and recommendations to stakeholders and senior leadership
  • Eagerness to learn about both the science and the business and identify opportunities to solve problems with data
  • Minimum Requirements

  • Experience analyzing complex data, drawing conclusions, and making actionable recommendations
  • Strong project management skills including managing complexity and making informed trade-offs to quickly escape rabbit holes and make on-time deliveries
  • Fluency and practical experience with statistical methods like exploratory data analysis, hypothesis testing, power analysis, and regression
  • Fluency and practical experience with data visualization techniques, storytelling, and best practices, with deep skill in at least one visualization tool, ideally Tableau
  • Strong SQL skills
  • Excellent written and verbal communication skills
  • Strong technical writer and documenter
  • Effective at working on a distributed team
  • Preferred Capabilities and Experience

  • Experience with Agile workflow practices and familiarity with Atlassian tools including Jira, and Confluence is a plus
  • The data team uses Python. Python experience including familiarity with pandas, and visualization libraries such as Altair, seaborn or matplotlib is a plus
  • Experience working with JSON or unstructured data is a plus
  • Experience with the Amazon Web Services ecosystem is a plus
  • Experience working with biological data is a plus
  • To learn more about Ginkgo, check out some recent press:
    We also feel that it’s important to point out the obvious here – there’s a serious lack of diversity in our industry, and that needs to change. Our goal is to help drive that change. Ginkgo is deeply committed to diversity, equity, and inclusion in all of its practices, especially when it comes to growing our team. Our culture promotes inclusion and embraces how rewarding it is to work with people from all walks of life.  
    We’re developing a powerful biological engineering platform, so we must remain mindful of the many ways our technology can – and will – impact people around the world. We care about how our platform is used, and having a diverse team to build it gives us the best chance that it’s something we’ll be proud of as it continues to grow. Therefore, it’s critical that we incorporate the diverse voices and visions of all those who play a role in the future of biology.
    It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees and employment applicants.

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    Company Information
    • Active Jobs 101 Jobs
    • Company Address 27 Drydock Avenue, 8th Floor Boston, MA 02210
    • City Boston
    • Location Massachusetts
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