Seeking Alpha is looking for a talented and experienced Data Analyst to join us.

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if you’re great at SQL and have experience doing data analysis for websites, you’re someone we want to talk to.

We’re looking for a senior data analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

The best thing about our work is that we’re part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in everything the company does.

Why we’re a great company to work for?

• We have a mission. Seeking Alpha is about more than helping people make money. People who invest are 24% happier, 19% less stressed, and report a 36% increase in their sense of well-being (source). By helping investors to succeed, we help them to send children to college, achieve life goals, afford healthcare, and provide themselves with a secure retirement.
• We’re profitable and growing fast. We fuel our growth investments with our own capital, leading to greater stability for employees, and an inspiring growth-focused environment. All employees receive equity grants in-line with their cash compensation.
• You’ll work with great people. We work in small, tight-knit groups of smart, engaged people who bring everything to the table every day.
• We have fun. We love to get together at company events, which include Alphas who work from home. “Seeking Alpha doesn’t feed me well,” said no one ever.
• You’ll impact the lives of many people. We have 15 million unique monthly visitors, and 500,000 unique users visit Seeking Alpha every business day.

If that’s what you’re looking for too- go ahead and apply!

• Analyzing the behavior of users on our site and apps:

-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

• Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
• Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
• Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
• Split tests of product features:

-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

• A minimum of 4 years in a B2C website-related Data Analyst position
• Strong SQL skills with experience writing complex and efficient analytical queries
• Excellent English communication skills, both written and verbal
• Demonstrated experience with working in English directly with business stakeholders, understanding their needs, and explaining results
• Experience with data visualization tools (Looker/Tableau/PowerBI)
• Understanding of website development and operations and how they connect to data gathered.
• Advantage - Looker
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling