About Parsyl
Parsyl is an insurance technology company that delivers data-driven cargo insurance solutions for essential supply chains including vaccines and medicines, perishable foods, and other sensitive goods. Our mission is to end the days of “ship and pray” and build a world where everyone, everywhere can trust the quality of the goods they rely on, from the foods they eat to the medicines they need.
We are working to achieve this by combining smart sensors, data insights, and data-driven insurance to improve risk resiliency and safeguard goods in transit and storage. This unique combination of IoT and insurance means our customers can use data to make supply chains more transparent, safe and sustainable - better for people and the planet.
In response to the Covid-19 pandemic, Parsyl led the formation of the Global Health Risk Facility, the world’s dedicated insurance solution for distributing Covid-19 vaccines and other essential health products around the globe.
Where you fit in:
Data is at the core of everything we do at Parsyl. As such, you will play a critical role in helping us achieve our mission. As Parsyl’s first full-time data analyst, you will bring our data to life for our customers and internal stakeholders. You will sit with the Data & Insights team, which consists of data engineering, data analysis, and machine learning, and exists to extract actionable data insights that ultimately improve the quality of essential goods throughout the global supply chain.
You are a good fit for this position if you would be happy getting lost in the details of the data if it were not for your drive to answer the business's meaningful questions. You are a self-starter, have a growth mindset, and thrive in a fast-paced, ambiguous environment.
What you’ll get to work on:
Build strong relationships with stakeholders across the business - including insurance, sales, global health, and internal teams - and support them by:
creating reports and dashboards containing rich data visualizations
identifying trends and patterns
performing statistical analysis
crafting and presenting compelling narratives
Train end-users on new reports and dashboards
Work with the data engineering team to identify and revise reporting requirements
Assess and track data quality and work with the team to solve issues
Proactively work to understand our business, our data, and to anticipate what data analysis would benefit our customers and stakeholders
Qualifications:
2+ years of professional experience accessing, transforming, analyzing, visualizing and reporting on data
1+ year of professional experience with BI reporting tools, such as Looker or Tableau
SQL proficiency
Working knowledge of basic statistics, including hypothesis testing
Proficiency in a statistical scripting language, preferably python
Capable of effectively communicating complex analyses to both technical and non-technical audiences
Patient and communicative team player with excellent interpersonal skills
Extremely detail-oriented and organized; capable of managing multiple projects of varying lengths and scopes simultaneously
Eagerness to work in a fast-paced environment
Excellent communication skills
It’s a plus if you also have experience with:
Cloud service providers, preferably AWS
IoT and time-series data
Working at ap
Global health, supply chain, or financial industries
Qualities We Look For:
Mission -- You are highly motivated and inspired by our mission to improve health and save money for people across the globe.
Grit -- You bring determination and a strong will to the challenges and opportunities that come with being at an early stagep.
High Standards -- You take pride in your work and are highly accountable.
Curiosity -- You are energized by finding creative solutions to new situations.
Self-Starter -- You are ambitious and take initiative, and thrive in environments with minimal supervision.
Humility -- You approach your work with humility and a willingness to collaborate and learn from those around you in order to produce the best outcome.
Compensation and Benefits:
Market competitive salary with an anticipated base compensation range of $60,000 - $80,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills and location.
Early-stage stock options
401(k)
Medical, dental, and vision insurance
Monthly wellness and commuter benefit
Significant career growth opportunities
Continuing education stipend
Unlimited vacation
Flexible hybrid work environment
Relocation assistance available (Denver, CO candidates or candidates willing to relocate strongly preferred, but remote candidates will be considered)