Position: Business intelligence Analyst
Company: Waverley Software
Experience required: 2y
English level: upper

Our client is an online meat and seafood delivery company.​
We’re looking for someone curious, who feels comfortable asking “why?” and who is tenacious about discovering the answer. To be successful in this role, you’ll need the ability to: think analytically, use a wide array of technical skills, clearly communicate your earned insights, and concisely document them for others to learn from. 
This role has a very broad scope of impact and you’ll be collaborating with cross-functional teams in several departments. You’ll also need to be a self-starter who is comfortable with ambiguity and able to think big (while paying careful attention to the details). 
The primary focus of this role is to work with teams to define reporting & analytics needs; then you’ll design, build, and deploy the necessary instrumentation, data models, and reporting structures required to satisfy those requirements. Some examples include inventory management, customer lifetime-value (CLV) cohorting and optimization, merchandising/pricing optimization, and customer retention (just to name a few). 
Your efforts will directly impact the daily operations of the product and you’ll have the opportunity to work closely with senior leadership to deeply understand the project and turn insights into action.

Responsibilities
- Work with stakeholders to identify areas where performance and processes may be improved, ensuring easy access to data in a timely manner
- Determine and articulate goals, gather and analyze data, and create reports that support business objectives to support growth and profitability targets as needed
- Implement and analyze A/B or Multivariate tests to provide in-depth insights

Qualifications
- 2+ years experience in analytics
- Proficiency with SQL & data modeling
- Experience building dashboards and reports (currently used Looker)
- Experience with dbt, Fivetran, and Jenkins is a plus
- Experience with web analytics (Google Analytics) and reporting tools to move and parse data sets
- Fundamental understanding of experimental design, experience with a variety of analytical methods, and experience with technical implementation of analyses.
- Motivated by and able to perform with a high degree of autonomy
- Passion for your work and your career and a demonstrated commitment to quality
- Attention to detail, enthusiasm, dependability, and resourcefulness
- At least Intermediate English level
- Desire to work in PST timezone