Data Scientist at Opal

About the Job The Data Scientist/ Product Analyst at Opal is responsible for analyzing customer behaviors across the customer journey and helping make the customer experience and business outcomes better. This position will create and own multiple Product Key Performance Indicators (KPI’s) while nurturing a deep understanding of product health and the customer experience. The Senior Product Analyst will aid in strategic decisions by owning the data storytelling process.  Key collaboration points include working with our Product Management, Engineering, Marketing, Sales, Finance, and Leadership teams. About You You are a highly strategic and curious individual who loves telling stories through data and has strong familiarity with SaaS and PLG metrics. Your superpowers include identifying and capitalizing on product trends while also improving product adoption, retention, and engagement. Your ability to translate and communicate the value of your analyses, both to technical and non-technical stakeholders, is a core part of your success. About Opal Opal is the planning platform that connects strategy to execution. Marketing and communications teams working together in Opal get the visibility they need to stay aligned and collaborate efficiently. Visit workwithopal.com to learn why Opal is used by teams everywhere including Starbucks, Target, Minted, General Motors, Ikea and Zillow.Responsibilities  Perform strategic and one-off data analysis primarily in support of Product Management. Support the organization in using data to launch and iterate on PLG motions. Build visualizations, dashboards, and define key metrics that enable the success of our product. Find opportunities to bolster product usage, user retention, and overall engagement via insights in our data. Be the DRI for Product KPIs. Help craft and evaluate A/B tests to improve user experience and engagement. Uncover actionable insights and trends in complex, sprawling datasets and articulate them to roles across the organization. Develop user archetypes and build dashboards to demonstrate their usage patterns. Build code that fits the standards of our engineering best practices. Work in an iteration fashion to rapidly deliver value on a consistent basis. Consistently document your work and actions so the work is repeatable and can be run by others.  Skills, Experience, Knowledge: 5+ years of related data-engineering and/or business intelligence (BI) engineering and analytics  experience.  Demonstrated ability to work effectively with individuals from diverse communities and cultures.   Experience in creating ETL pipelines, preferably with Apache Airflow. Significant experience in modeling information for both relational, dimensional and log-based databases. Experience with PLG motions and tactics. History working with standard SaaS metrics and using data to find insights to improve them. Deep understanding of SQL, dimensional/relational databases and data access patterns. Working familiarity with BI/reporting tools, such as Metabase. Working familiarity with modern web application analytics toolchain, such as Segment.io, Mixpanel, Snowflake, Fivetran, Pendo, etc. Experience using dynamic languages like Python and Ruby. Understanding of Docker and CI/CD deployment pipelines. Ability to work with structured, semi-structured, and unstructured data sources. Detail-oriented and able to enforce consistency in naming conventions, standards and nomenclature. A passion for building great software products and deeply understanding user behavior. Effective written and oral communication skills when interacting with both technical and non-technical staff. Comfort working in a highly agile, intensely iterative software development process Experience owning a project from concept to production, including proposal, discussion, and execution Self-motivated and self-managing, with strong organizational skills Skilled at time and project management with the ability to move between priorities and manage deadlines across multiple focuses and teams. Experience working with employees at all levels, from interns to Executives. Experience working in a fast-paced, high-growth, start-up environment is a plus. Natural alignment with Opal’s Values: Professional, Intentional, Steadfast, Helpful, Creative, Passionate, and Empathetic Demonstrated ability to work effectively with individuals from diverse communities and cultures.   Education:Undergraduate degree or equivalent related work experience required; advanced degree in a related field a plus. Competitive, market-leading compensation package, including stock options 100% company-paid Medical/Rx, Dental, and Vision Insurance for individuals (plus company-subsidized dependent coverage) Health Savings Account (HSA), Flexible Spending Accounts (FSA) for Health, Dependent Care, Commuter, Parking Company-paid Life/AD&D, Short and Long Term Disability Insurance Pet Insurance for your furry friend Unlimited Vacation, Paid Sick Time, and Paid Holidays Paid Parental Leave & Back-to-Work Program 401(k) and Roth Retirement Plans Company-sponsored outreach & activity programs Pay of $90,000 - 120,000 DOEOpal is an equal-opportunity employer and committed to creating an inclusive and diverse environment.  We believe a diverse workplace promotes innovation and enhances decision making.  We encourage applications from all qualified candidates and will consider all applicants without regard to race, color, religion, gender identity or expression, national origin, sexual orientation, disability, age, or veteran status.