Position: Senior Product Analyst
Company: Recruit-Alliance
Experience required: 3y
Category: Business Analyst
English level: upper
Published: 2022-06-01T00:00:00+03:00

We’re looking for a Senior Product Analyst who has a real passion for experimenting,
digging deeper into data sets, investigating, exploring, communicating,
and visualizing impactful insights about our customers and the product itself.

You should definitely have
3+ years experience working within an Analytics or Business Intelligence environment,
with deep know-how of both the technical and product/marketing aspects of data solutions.
English — upper-intermediate or higher.
Strong communication skills for a convincing and concise data history.
Thorough knowledge of statistics, hypothesis tests, A/B testing.
Strong SQL knowledge: query and manipulate large databases.
Experience with Adobe Magento (RJ Metrics), Tableau
Product Analytics Tools: Google Analytics, MixPanel.
Spreadsheets (Excel/Google Sheets): manipulate data, create pivot tables, and visualize data.

Will be a plus if you had.

Bachelor’s Degree in a quantitative discipline such as Economics, Statistics, Math, Computer Science, or Engineering.
Motivation to enable and help others within the company be data-driven.

Your responsibilities might include

Deep understanding our business, platform, and data sources.
Define and monitor metrics for products and product initiatives.
Analyze customer experience and product performance data to extract meaningful insights to make business recommendations
Build the analytical framework, which can include ad-hoc analyses, automated dashboards, and self-service tools.
Work closely with the product management group to design, implement, and analyze analytics and business intelligence strategies to validate project success criteria. 
These may take the form of A/B tests, funnel analysis, cohort studies, and KPIs reporting.
Work closely with QA and Engineering departments throughout the software development lifecycle to establish and maintain data and analytics integrity and quality assurance.
Work with internal departments to assist with their data needs.
Generate documentation and reference guides to clarify platform entity relationships and data conventions.

What we offer
Flexible working day
Opportunity to significantly influence our product roadmap and strategy, and technologies;
Challenging work in the international professional environment;
Flexible working hours and the possibility to work remotely;
20 paid vacation days per year;
Team building events;
Medical insurance;
A social package, including gym membership,
and English courses compensation (50%).