Remote careers for Lead Data Analyst | EPAM Anywhere
Back icon

Lead Data Analyst for a Luxury Store Chain

Lead Data Analyst for a Luxury Store Chain 40 hrs/week, 12+ months

Currently, we are looking for a remote Lead Data Analyst with 5+ years of corporate data analysis experience in online analytics, and strong experience with SQL to join our team.

The customer is an American luxury department store chain. The company originated as a shoe store and evolved into a full-line retailer with departments for clothing, footwear, handbags, jewelry, accessories, cosmetics, and fragrances.

Responsibilities

  • Collecting, analyzing and presenting data to improve decision making
    • Discover impactful insights from data
      • Communicate those insights in a way that builds confidence and enables decisions that drive business value
        • Mine complex behavioral data and transform it into actionable information
          • Apply common statistical methods, data modeling, and predictive analysis to answer strategic questions for the online business
            • Use advanced data visualization techniques to communicate solutions to business stakeholders

              Requirements

              • A quantitative degree in mathematics, statistics, computer science, engineering, or similar quantitative analytics discipline
                • 5+ years of corporate data analysis experience in online analytics (online retail a plus)
                  • 1+ years of relevant leadership experience
                    • Strong experience with SQL
                      • Familiarity with an analytic scripting language such as R or Python preferred
                        • Experience with BI Tools like Tableau, Mode, Looker preferred
                          • Should have a high degree of curiosity about the business and the skills to discover impactful insights from data
                            • Good verbal and written communication skills, ability to convey results to non-experts
                              • Strong English both written and verbal (B2+)
                                Data ScienceSQLR Language
                                Python.Core
                                BI.Tableau

                                Benefits in eligible locations

                                location.svg
                                ImageImage

                                For you

                                • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                                • Individual sessions with professional psychologists and coaches
                                • Free corporate sports and wellness programs
                                • Stable income
                                • Paid time off
                                ImageImage

                                For your comfortable work

                                • 100% remote work forever
                                • Free licensed software
                                • Possibility to work on your own device (BYOD)
                                • Stable workload
                                • Relocation opportunities
                                • Flexible engagement models
                                  ImageImage

                                  For your growth

                                  • Free trainings for technical and soft skills
                                  • Access to LinkedIn Learning platform
                                  • Language courses
                                  • Access to internal and external e-Libraries
                                  • Certification opportunities
                                  • Skill advisory service

                                    40 hrs/week

                                    Hours per week

                                    12+ months

                                    Project length

                                    Belarus, Russia, Ukraine

                                    Locations eligible for the position