Description

Role Purpose:
To support business growth and operational efficiency by developing and maintaining business intelligence solutions that transform data into actionable insights. This role involves collaborating with cross-functional teams to define KPIs, design reports and dashboards, build and optimize data pipelines, and ensure data quality and consistency. Through advanced analytics and a deep understanding of business needs, the Business Intelligence Analyst will empowers stakeholders with timely, accurate, and meaningful information to drive informed decision-making.

Job Responsibility:

• Develop a solid understanding of the business, the contribution of each department, and the
  metrics that drive performance
• Work jointly with department heads and analysts to define KPIs and reports for company-wide
  performance measurement
• Communicating findings and recommendations to various teams and stakeholders, often working
  closely with business users to understand their needs and translate them into data-driven solutions
• Create and maintain data pipelines, database structures, make sure that data is stored efficiently,
  and write and test database code, including SQL (Structured Query Language) queries, python,
  procedures, and functions
• Implement reports and dashboards using BI / reporting software
• Perform ad-hoc analyses to answer business questions and seek data-based insights for business
  operations improvement
• Maintain a corporate repository of metric definitions, ensuring clarity and consistency
• Monitor data quality and resolve any issues in collaboration with data owners
• Proactive Initiative for creating data product
• Implementing basic to moderate advanced analytics modeling to uncover patterns or discover
  actionable insights

Qualifications

• Min 2 to 5 years experience in a similar role (business analyst, data analyst, reporting analyst, or
  quantitative analyst)
• Strong understanding of databases and SQL, NoSQL, Structure and Non-Structured Data
  processing
• Proficiency with data pipeline tools such as dbt and airflow
• Proficiency with reporting software like Tableau, Metabase
• Expertise in using Jupyter Notebooks for data exploration, analysis, and model development
• Proficiency in programming languages like Python or R for data manipulation and statistical
  analysis
• Ideally, Bachelor's Degree in Computer Science, Statistic, Engineering, Math, Physics, Finance,
  Economics or a related field
• Excellent communication skills, with the ability to listen and articulate your ideas clearly
• Analytical, diligent, and rigorous in your approach to problems
• Curiosity about data and a passion for finding answers hidden in data sets
• Bonus points for experience in consulting, operations, statistics, predictive analytics, or SaaS
• A good understanding of business principles and industry knowledge is important for relating data
  insights to business strategy especially, a business acumen on b2b commercial transaction