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Business Intelligence Analyst

Business Intelligence Analyst

OnlinePajakJakarta Pusat, Jawa, Indonesia
2 days ago
Job description

Overview

Join to apply for the Business Intelligence Analyst role at OnlinePajak .

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 empower stakeholders with timely, accurate, and meaningful information to drive informed decision-making.

Job Responsibilities

  • 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
  • Communicate 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, ensure data is stored efficiently, and write and test database code, including SQL 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 products
  • Implement basic to moderately 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, structured 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, Statistics, Engineering, Math, Physics, Finance, Economics or a related field
  • Excellent communication skills, with the ability to listen and articulate ideas clearly
  • Analytical, diligent, and rigorous in problem-solving
  • 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
  • Understanding of business principles and industry knowledge is important for relating data insights to business strategy, especially business acumen on B2B commercial transactions
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Other
  • Industries

  • Software Development
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