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 foreign 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.
