Vista's Engineering and Analytics organization is working to make our company one of the world's most well-known and successful data-driven companies.
The cross-functional team includes product owners, analysts, technologists, data engineers and more – all focused on providing Vista with information and tools we can use to deliver jaw-dropping customer value.
Data & Analytics team members are empowered to learn new skills, communicate openly and be active problem-solvers.
Find out more at vista.Io.
The Product Analytics team directly embeds in Vista's Product organization to drive forward strategic opportunities to optimize the customer experience and empower product teams with data.
You will be an analyst supporting multiple product teams, partnering closely with product management, UX, and engineering to provide insights and recommendations throughout the product development lifecycle.
We are looking for a driven Senior Analyst who has a consulting attitude, striving to both bolster the evidence used in product team decision-making and proactively identify high value events and interactions within Vista's product.
You are technical but at the same time can convey the business meaning behind a sophisticated set of metrics and provide concrete recommendations.
What You Will Do: Identify areas of opportunity and drive value for our customers by navigating customer engagement, business, and transactional data through the use of multiple dashboards, data sources and analytical techniques.
Act as a data and insights consultant throughout the product development lifecycle in areas such as product discovery, solution design, and experimentation.
Mentor and coach product teams in reporting and monitoring of their metrics.
Enable new reporting and build custom visualizations.
Your Qualifications: 3+ years in an analytics environment and a bachelor's degree in Business, Mathematics, Statistics, Computer Science, Engineering, Economics or related field.
Sophisticated technical skills in SQL (Snowflake), web-analytics tools (Google Analytics 360 + Data Studio, Adobe Analytics) and visualization tools (Domo, Looker, Power BI, Tableau).
Good understanding of exploratory analysis and statistical techniques and skilled in finding important patterns and trends in the data.
1+ years of experience independently crafting, executing, and analyzing A/B experiments.
Strong problem-solving skills (ability to translate a business ask into a very concrete question and then breakdown it down into important analysis).
Compelling communication (able to articulate your point clearly based on your audience).
Excellent organizational skills, good attention to detail and consistent record of effectively delivering on projects supporting multiple business partners to make decisions.
Nice to Have: Familiar with programming languages (e.G.).
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