Mid/Senior Data Analyst

at Nord Security

📍 Vilnius, Lithuania

€35,800-63,500 per year

MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Customer Acquisition @ 3 Marketing @ 3 Python @ 6 SQL @ 3 Looker @ 3 R @ 6 Mathematics @ 3 BI @ 3 Google Analytics @ 3 Reporting @ 3

Details

The Marketing department aims to encourage the world to be as enthusiastic about our products as we are. We have more than twenty different teams with specific areas of focus. Our teams are sharp, highly skilled, and data-driven, focusing on customer acquisition and monetization initiatives.

Responsibilities

  • Be responsible for tracking, reporting and analyzing the performance of product and related activities, ad-hoc analytic requests, and development/automation of regular reports;
  • Work closely with Product team and developers to improve tracking and reporting;
  • Provide actionable overall market and customer insights to address key strategic questions;
  • Evaluate customers’ online behavior and provide insights and recommendations for further enhancements to the user experience;
  • Analyze A/B and Multivariate tests, communicate results and provide recommendations. Bring data-driven ideas to the growth process;
  • Create reports and forecasts to provide market and consumer insights to different groups of stakeholders;
  • Documentation of processes.

Requirements

  • Proven experience as a Data Scientist, Data Analyst or similar role;
  • Good understanding of how to measure success and variety of metrics for digital products;
  • Experience in developing and/or maintaining product performance measurement models and tools;
  • Experience with multi-device attribution models would be a huge advantage;
  • Ability to understand, translate and map strategic priorities into analytical projects and communicating them with both technical and non-technical colleagues;
  • Advanced skills in data methodologies and technologies (SQL, BI tools such as Looker or similar, Google Analytics);
  • Experience in statistical modeling (regression analysis) and advanced knowledge of at least one statistical language or program (e.g., R, Python);
  • University education focused on statistical analysis, big data, economics, mathematics, econometrics, or programming;
  • Fluency in English (written and spoken).

Benefits

  • Gross Salary 2980-5290 EUR/Month.