IT Data Manager

Position Objective:

The Data Manager will be responsible for actioning our collected data to help the business to see, understand and predict user behavior and market trends. You will use your analytical skills to proactively provide recommendations to senior business leaders across every department to unlock growth and efficiency opportunities. We are seeking a talented individual who is excited to lead and grow the data analysis function in our team!

You should be an energetic, curious, and independent person who is interested in proactively driving results through data and enjoys high-growth, entrepreneurial environments. This is a high impact role with a unique opportunity to further one’s career in the fields of reporting, data science, business intelligence, sales, and digital marketing.

You will act as a validation and quality assurance expert and review the functionality of existing systems. You will conduct requirement analysis, define test strategy & design and lead execution to guarantee superior outcomes. You will also be required to design an optimal test environment to simulate real-time scenarios. You will have the opportunity to collaborate with some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued

Responsibilities:

Key duties and responsibilities but are not limited to those listed below:

• Partner with internal stakeholders from Marketing, Advertising, Sales, Customer Service, Teaching quality management, Human resource, Finance and Engineering to identify the business’ analytics needs.
• Work hands-on with our data building models, tables, and visualizations from both structured and unstructured datasets.
• Formulate analysis and insights for stakeholders on business-critical questions using data acquired through the VUS website, 3rd party advertising platforms, internal applications, A/B tests, and market surveys.
• Create and present reporting insights by crafting a narrative that is easy for stakeholders to follow and has actionable next steps.
• Create innovative analytics, define requirements for analysis automation and data collection, and propose improvements.
• Ensure accuracy & integrity of data & applications through analysis, coding, writing clear documentation & problem resolution.
• Analyze & translate functional specifications & change requests into technical specifications.
• Develop, test & implement program logic.
• Work with ETL tools, such as Informatica.
• Translate business needs into end user applications.
• Design, develop & test large-scale ETL application for data lake, data warehouse application.

Facilitate Team Collaboration and Communication

• Develop and implement procedures for effective data management.
• Create rules and procedures for data sharing.
• Oversee and manage staff members in the daily use of data systems.
• Guarantee adherence to legal and company regulations.
• Regularly monitor and evaluate information and data systems that could affect analytical results.
• Assess system performance and make recommendations for software, hardware, and data storage improvements.
• Manage all incoming data files.
• Continually develop data management strategies.
• Assist with recognizing and upholding digital security systems to protect delicate information.

Business Intelligence

• Creating policies and procedures regarding collating and analyzing data.
• Critically evaluating and screening data, plus profiling to identify any issues.
• Developing new data analysis processes.
• Assessing analytics on an ongoing basis.
• Overseeing the data warehouse, including the collection and utilization of all data.
• Extending knowledge of Business Intelligence to provide ongoing refinement of processes to improve operations.

Project Management

• Develop and maintain a detailed project plan to monitor and track progress.
• Implement, manage and track changes to the project scope, project schedule, project resources and project costs.

• Age: 28-38
• At least 4 years of experience in Data lake, Data warehouse testing Skills in creating Test Strategy, Test scenarios and Test cases with hands on technical knowledge related with Cloud trends.
• 4+ years relevant job experience working in an analytics and insights capacity
• Ability to decipher and organize large amounts of data.
• An analytical mindset with superb communication and problem-solving skills.
• Ability to translate complex problems clearly and in nontechnical terms.
• Knowledge and experience with full SDLC life cycle
• Experience with Lean / Agile development methodologies
• Ability to prepare analysis independently, combining your strong background working with complex datasets and basic statistics, and your deep understanding of the business
• Strong verbal and written communicator with experience and comfort presenting to senior level stakeholders
• Ability to source information to identify potential opportunities and desire to drive solutions or tests to deliver recommendations on those opportunities
• Proficient working in SQL databases building views, stored procedures and to prep data for analysis; bonus points for experience doing similar operations in Snowflake
• Strong command of modern data visualization tools; bonus for prior working Tableau experience
• Understanding of data modeling and analysis with Python; bonus points for practical experience with those techniques
• Experience in advertising, marketing analytics, or be a quick learner of the marketing environment; bonus points for prior experience in E-commerce

• Friendly and dynamic working environment.
• English scholarships for yourself & your family (up to 100% tuition support).
• Take part in many exciting projects, develop young talents in team & become key member of the organization.
• Company trip, Team building.
• 13th month bonus, KPI Bonus.
• Personal Healthcare.
• Other attractive benefits will be discussed further in the interview.