InterTech LLC
Position
Data Analyst
Category
Job Address
Application Deadline
IT
Yerevan, Armenia
08/12/2019
Responsibilities
- Confirm project requirements by studying user requirements; conferring with others on project team - Understand and be up to date with the unique needs of the business when it comes to data - Work with management team to create a prioritized list of needs for each business segment - Use data to create models that depict trends in the customer base and the consumer population as a whole - Work with departmental managers to outline the specific data needs for each business method analysis project - Analyze data and create dashboard and custom reports based on the requests - Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts - Take ownership of data analysis activities and work closely with end users to translate requirements into data-driven applications and data visualization solutions (e.g. reporting and dashboards) - Work with reporting software and statistical techniques in order to analyze campaigns, A/B testing, ROI, etc - Create presentations, graphs, tables and other reporting deliverables to present a user-friendly version of relevant data across the Company’s verticals - Evaluate BI tools and propose the best solution for the business - Constantly be on the lookout for ways to improve reporting, discover issues and deliver better service
Required Qualifications
- MBA qualification - Relevant Degree: Statistics, IT / Computer Science, Mathematics – a must - Proven experience in a similar role - Experience in iGaming industry - a big plus - Strong knowledge of and experience with reporting/visualization software (Tableau, Power BI, etc), databases (SQL, etc), programming (Python, R) and ETL frameworks - Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc) - a big plus - Experience in advanced analytics (clustering, regression, predictive models or similar) - Advanced mathematical, analytical and conceptual thinking skills with meticulous attention to detail - Managerial experience and excellent problem-solving skills - a big plus - Proven teamwork and communication skills to ensure optimal understanding of the information provided - Excellent planning and organizational skills - Ability to see the "big picture", evaluate the business impact of issues and prioritize among many requests - Having previous team management experience is a plus - English language proficiency – a must - Flexibility regarding working hours Other Requirements: - Proven ability to develop and maintain strong professional relationships with clients, colleagues, and vendors - Experience managing multiple, competing priorities, duties and/or projects - Experience in the use of programming language such as Python, R and strong T-SQL programming - Be capable of developing database queries using SSIS packages, T-SQL, MSSQL, and MySQL scripts - Ability to design, build, and maintain the business’s ETL pipeline and data warehouse. The candidate will also demonstrate expertise in data modeling and query performance tuning on SQL Server, MySQL, Postgres or similar platforms - Highly motivated, technical savvy, analytic thinking, and entrepreneurial person to lead the day to day teams in how to best use data and ad tech to drive client goals
Application Procedures
If you think you have the right skills and experience for this job don’t hesitate to send us your most updated CV to career@intertech.am In the subject line of your e-mail message, please, mention the title of the position you are applying for. Please mention in your application that you have learned about this position from MyJob.am
Additional Information
We are looking for a Data Analyst with authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually evolving environment. You will be responsible for the maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics databases to provide data insights for business decisions. The successful candidate will be responsible for examining the business needs when it comes to data and compiling / delivering relevant reports by optimizing the reporting system and ensuring that everyone is aligned when it comes to data and fully able to understand its contents.