Data Analyst

Responsibilities Communicate with customers (external and internal) to find out, consult and convert from actual requirements/processes into system requirements Communicate and discuss issues related to the business of the project team Creating and proposing competitive solutions for new and existing clients Promoting customer advocacy and building trusted relationship with the key stakeholders of our clients Preparing overall technical solution and efforts estimation for request for proposal (e.g. tender proposal write-up and response to RFP) Managing and running multiple concurrent opportunities and delivering on time Model business problems into practical analysis and achieve solutions and recommendations Design and deliver solutions from start to end for a defined Data Analysis problem Present results to project stakeholders with good communication and good data visualization Proactively be involved in the bidding process to turn potential leads into projects Create reusable documentation, presentations and code libraries during projects Participate in internal education and research tasks Proactively enrich organizational data and discover new insights Requirements Must have: At least 3 years professional experience in BI/Data Analytics Extensive experience with database environments, data visualization (Tableau, Power BI, Superset,etc); SQL and Python Ability to consult, and presale directly with customers Experience delivering recommendations to business users and measuring effectiveness of analysis Effective presentation skills– able to distill complex results or processes into simple, clear visualizations/presentations Demonstrated experience in leadership Willingness to work in case of time zone differences Critical thinking, result & detail-oriented with strong problem-solving intuittions Solid knowledge of statistical concepts (probablity theory, statistics and their real-world applications) Thorough understanding of data architecture/data governance within an organization Nice to have: Experience working abroad is preferred Passion for sharing expertise and helping team members grow Degree in data-centric disciplines e.g. Economics/Statistics/Analytics/Computer Science/Data Science Knowledge of Machine Learning fundamentals and applications, experience with predictive analytics Knowledge of Big Data Platform and applications (Hadoop, Cloudera, etc.) Benefits Working hours: 8:00 AM – 5:30 PM, lunch break 1.5 hours (12:00 PM – 1:30 PM), Monday to Friday. 13 months of salary + holiday bonuses; annual salary reviews (twice a year). Annual trips, monthly/quarterly team-building events. Social insurance and health insurance as per government regulations. Health insurance package (BIC). Annual health check-ups. Young, flat, and comfortable work environment. Opportunity to be part of a promising, challenging, and exciting project.