Job description:
● Works with product & technology partners and business end-users to deeply understand data, document data assumptions and definitions, as well as, help define KPIs for business units and determine analysis needs and requirements.
● Owns the end-to-end development of dashboard and visualizations from requirements gathering, to iterative development with stakeholders, to final launch and communication of insights.
● Creates and maintains statistical models and visualization for ongoing and ad hoc review and analysis of data.
● Drives continuous learning by proactively identifying opportunity areas, translating them into structured analysis, generating actionable insights, and advocating for proposed next steps to key stakeholders.
● Partners with product development and data management roles to identify and capture data required from internal and external sources.
● Embedded analysts focused on analysis and modeling of financial, marketing or product data and partners closely with our digital product teams
● Ensure actionable & meaningful analysis of KPIs for A/B testing workstreams
● Finds the root causes behind variances of key parameters and resolve issues for data systems by performing deep-dives using various analytical techniques.
● Ability to monitor initiatives while effectively communicating business value through the creation of reporting, data sources, and ad-hoc analysis.
Requirements:
● Minimum of 3 years of analytics experience
● Experience working collaboratively with product & tech teams: product management, engineering, UX, data engineering, etc.
● Strong expertise in manipulating data sets through statistical software and programming languages (ex. SQL, R, SAS, Python, C++, C, Perl, etc.).
● Experience using Python, Tableau, or Hex for data wrangling, visualization and statistical packages
● Experience in different statistical methods for framing hypothesis, experimentation principles/AB testing to forecast & communicate results for core business and product KPI’s
● Product optimization experience
● Experience with ETL frameworks
● Strong communication skills - Ability to tailor communication across audiences, clearly conveying data learnings and distilling insights through data story-telling.
