Analysis Skills, Communication Skills, Computer Science, Conduct Studies, Conferences, Consumer Branding, Customer/Client Research, Data Analysis, Data Science, Data Visualization, Detail Oriented, Event Management, High Tech Industry, Mobile Applications, Product Documentation, Python Programming/Scripting Language, SQL (Structured Query Language), Sales Prospecting, Statistics, Team Player, Trade Shows, Trend Analysis, Work From Home
Job List
Data Analyst
(full-time)
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Whova is looking for a full-time Data Analyst to join our team! Here, you will play a crucial role in improving and optimizing our product by gathering key insights about how our users interact with our platform and understanding what their primary needs and pain points are. The ideal candidate will be passionate about leveraging data analysis techniques to help guide product decisions.
Whova revolutionizes event engagement and attendee networking by providing the Whova mobile app and event management software for conferences and trade shows globally every day.
Whova is a fast-growing company with brand-name customers, including US-Bank, L'Oreal, Hilton, LEGO, Vetafore, NASA, IKEA, TEDx, etc. We are proud to receive the San Diego Business Journal's Best Places to Work in San Diego award 5 years in a row. We also won the Fastest Growing Private Companies award for 3 years. More recently, we won Event Technology Awards' Best Product Team Award, and Global Top Rated Product Award. Currently, we are named as G2's Global Top 50 Best Software.
Responsibilities
- Design and conduct studies on product features to understand how users engage with them
- Analyze large quantities of user data (both structured and unstructured) and identify trends, patterns, and anomalies
- Synthesize findings into clear visualizations and concise reports to present to stakeholders
- Provide actionable insights that can help inform product decisions, and work closely with data and product teams to identify opportunities for new features and/or enhancements
Requirements
- BS or MS in Data Science, Computer Science, Statistics or related fields
- Familiarity with Python, SQL, Excel, and data visualization libraries (e.g. matplotlib, plotly, etc.)
- A curious and detail-oriented mindset that's excited to explore various aspects of product usage and uncover valuable insights
- Strong communication skills and ability to work both independently and collaboratively in a fast-paced environment
- Experience working closely with engineering and product management teams is a plus
What We Offer
- Salary: $50k - $60k per year (based on experience)
- Health benefits package
- 18 days of paid time off per year
- Opportunities for rapid career development in a fast-growing software company
- A fun, upbeat, and collaborative working environment
- Two company-provided lunches and Bagel Wednesdays!
- Work from home every Friday
How to Apply
- Send your resume to jobs@whova.com, we'll be in touch with you soon!
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Send your resume to jobs@whova.com, well be in touch with you soon.