Data Analyst

Training end- users on new reports and dashboards.
Analyse collected data and put it into a format others can easily interpret.
Collecting data from various sources. Streamlining data collection methods to create automated and easy- to- use routines.
Manage and design the reporting environment, including data sources, security, and metadata.
Interpreting data trends and patterns as they relate to the organisation.
Gather, understand, and document detailed business requirements using appropriate tools and techniques.
Collaborating with other team members, including engineers and programmers, to determine areas of improvement in relation to data.
Supporting the data warehouse in identifying and revising reporting requirements.
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.
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
Preparing reports for organisational leadership to use in a business setting.
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.

Key skills

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

Qualifications and experience

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

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

Cập nhật gần nhất lúc: 2024-06-06 15:35:04