Business Insights Analyst
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(****a publicly traded company based in New York City, creates leading social media and dating applications. We are seeking a Business Insights Analyst to improve our products, business, and experience for our members, across product divisions: our live video chat platforms Paltalk, Camfrog, Tinychat, and Pack, and our social dating platforms FirstMet and 50more.
We use data to direct every aspect of our business: we produce tens of gigabytes of unstructured and structured user data daily, covering every detail of engagement. We use a wide range of technologies (SQL and NoSQL stacks, real-time data feeds, event-based analytics SDK integrations, search-based analytics tools, dashboarding and visualization toolkits, AWS-based and on-premises data infrastructure, and external analytics vendor APIs) to monitor, index, query, structure, and visualize that data. We dive in to answer questions about our users' behavior and engagement and determine which users are responding, which engagement channels are working, which features are engaging users and which aren't, which of our many concurrent A/B tests are succeeding, and how we're performing on key metrics. Data drives our strategy, so analytics and business intelligence are crucial to every decision we make.
We're looking for a quantitatively talented, data-focused analyst who is excited about working with big data and applying their statistical and technical skills to make the best use of it, who is enthusiastic about the social video and dating app spaces, and who is eager to help create experiences for our millions of users.
Make recommendations based on data to improve how we make decisions at PeerStream, providing analysis and insights to product, marketing, and finance departments
Work closely with developers and product managers to develop data-driven product solutions
Monitor multiple simultaneous A/B tests to determine effectiveness
Leverage our analytics tools to delve into the behavior of our members
Monitor key metrics and report on potential
Strong and flexible use of advanced Excel functions (e.g., pivot tables, array formulas)
Strong quantitative and statistical skills; ability to present results of complicated data and models
Experience conducting analyses with SQL data sources
2 years' experience with web-based analytics tools
Experience with business-goal-driven quantitative analyses, such as marketing ROI analysis, financial modeling, or time series analysis
Experience running A/B tests or scientific experimentation
Experience working in a start-up consumer-facing tech environment
Coding and database-querying experience, especially SQL and data-manipulation languages and libraries (e.g., Python/pandas, R, MATLAB)
Knowledge of algorithms and data structures
Experience with inferential statistics, predictive modeling, and machine learning a plus
Experience with search-based analytics tools and log analysis (e.g. Splunk) a plus
We encourage applications from early-career business analysts with experience in direct marketing or social media applications, as well as candidates who may have limited industry experience but have strong quantitative backgrounds in data-focused fields, such as the social, natural, and physical sciences.
Perks and Benefits:
Free massages every week; free snacks and beverages
100% covered medical insurance at the employee-only level
401k Matching of $0.50 for every $1.00 you contribute up to 6% of your base salary
Pre-tax flexible savings account and pre-tax commuter program (MetroCards, parking, etc.)