MB Bank 3.9 ★

• Collecting data from various sources. Streamlining data collection methods to create automated and easy-to-use routines.
• Analyse collected data and put it into a format others can easily interpret.
• Manage and design the reporting environment, including data sources, security, and metadata.
• Supporting the data warehouse in identifying and revising reporting requirements.
• Interpreting data trends and patterns as they relate to the organisation.
• Preparing reports for organisational leadership to use in a business setting.
• Training end-users on new reports and dashboards.
• Collaborating with other team members, including engineers and programmers, to determine areas of improvement in relation to data.
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
• Proactively analyse data to answer critical questions for stakeholders, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution.
• Gather, understand, and document detailed business requirements using appropriate tools and techniques.

Key skills

• Proven analytics skills, including mining, evaluation, and visualisation.
• Strong SQL or Excel skills, with an aptitude for learning other analytics tools.
• Technical expertise regarding data models, database design development, data mining and segmentation techniques.
• Strong knowledge of business intelligence platforms, developing and updating BI reports, and communicating actionable insights to improve corporate decision-making.
• Strong knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), and programming (XML, JavaScript, or ETL frameworks).
• Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS, etc).
• Strong analytical skills with the ability to collect, organise, and analyse significant amounts of information with attention to detail and accuracy.
• Ability to translate business requirements into non-technical, lay terms.
• High-level experience in methodologies and processes for managing large-scale databases.
• Demonstrated experience in handling large data sets and relational databases.
• Excellent English skills encompassing writing, reading, speaking, and listening.
• Excellent interpersonal skills with the ability to collaborate effectively across departments and teams (both internal and external).

Qualifications and experience

• University Degree Qualified in a Tech or Business field.
• 3-4 years of data analysis experience.
• IELTS 6.0 or equivalent would be beneficial.
• Experience working in the payments and financial services industries.

• Gross salary includes tax, medical, social, and unemployment insurance.
• Salary review twice a year.
• 13th-month salary and performance bonus.
• 14 days annual leave + 01 birthday off.
• Laptop provided.
• Free parking, coffee, snacks, etc.
• Premium healthcare plan.
• Annual Health check.
• Online technical training courses (15.6m/year).
• Regular team dinners and team-building activities.
• International and friendly working environment.