Senior Data Analyst

🌏 Location: Ukraine; fully remote

We are looking for a Senior Data Analyst for our client, an international company (a crowd-sourced content service that publishes news on financial markets). Employees in Ukraine are working remotely.

Responsibilities:

• Analysing the behavior of users on the website and apps:

-Build and maintain dashboards that visualise 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.

• Analyse 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;

-Analyse results and give recommendations;

-Use segmentation and clear cohort analysis to validate significant conclusions;

-Conduct exploratory analysis to identify trends and opportunities.

Requirements:

• 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 visualisation tools (Looker — an advanage/Tableau/PowerBI);
• Understanding of website development and operations and how they connect to data gathered;
• Experience with report writing and technical requirements analysis, business process modeling/mapping, methodology development, and data modeling.