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 processingProficiency with data pipeline tools such as dbt and AirflowProficiency with reporting software like Tableau, MetabaseExpertise in using Jupyter Notebooks for data exploration, analysis, and model developmentProficiency in programming languages like Python or R for data manipulation and statistical analysisIdeally, Bachelor’s Degree in Computer Science, Statistics, Engineering, Math, Physics, Finance, Economics or a related fieldExcellent communication skills, with the ability to listen and articulate ideas clearlyAnalytical, diligent, and rigorous in problem-solvingCuriosity about data and a passion for finding answers hidden in data setsBonus points for experience in consulting, operations, statistics, predictive analytics, or SaaSUnderstanding of business principles and industry knowledge is important for relating data insights to business strategy, especially business acumen on B2B commercial transactionsSeniority level
Mid-Senior levelEmployment type
Full-timeJob function
OtherIndustries
Software Development#J-18808-Ljbffr