Expa is where the best startups find support and funding to scale. Collectively, we’ve launched dozens of companies, supported 50+ founders, and reached hundreds of millions of users. Our community of builders includes the founders and leaders of Uber, Virgin Galactic, Twitter, Current, and more.

We are looking for a Business Analyst at a new studio company tasked with research and financials around enterprise businesses. They will support our product, sales, and leadership teams with insights gained and tying that back to a specific product idea (e.g. understanding business fundamentals of different market verticals across a matrix of investment and operational criteria). The key to success in this role is conducting superior analysis, modeling data, translating that analysis into informed decisions, and then testing those decisions in a live environment.

The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining and data analysis methods. The candidate is well-versed in using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Your recommendations, based on sound analytics and quantitative modeling will help determine how we improve our products. You’ll be working with a world-class team who have built and shipped products valued over $8B today.

Responsibilities

• Work with stakeholders throughout the organization to identify opportunities and leverage that data to drive business solutions.
• Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Conduct research, compile about industry and customer trends
• Help identify workflows and processes
• Apply your expertise in analysis, data mining, and the presentation of data to see beyond the numbers and understand how our potential users will interact with our products
• Provide analytical support to stakeholders across various fields (Product, Eng, Design, UX, etc.).
• Create financial and business models, matrices and other basic tools to help team members analyze business needs.

Qualifications

• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

Your Experience

• You are a driven professional with a degree in Statistics, Mathematics, Computer Science or another quantitative field
• 2-3 years of experience manipulating data sets and building statistical models,
• Coding knowledge and experience with several languages including: C, C++, Java, JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Excellent written and verbal communication skills
• Attention to detail