Experienced Analytics Manager with a demonstrated history of working in the internet and telco industry more than 10+ years national and multinational company. Skilled in various Databases, Data Warehousing, Data Analytics, Data engineering,Data Quality, Automation and ETL. Strong track record in Data related role, experienced implementation critical project with creation big impact for company. Strong support professional with a Bachelor's degree focused in Information Technology
Build scalable and reliable data pipelines utilizing the Azure platform, including Synapse Database, Databricks, and Azure Data Factory)
Manage data pipelines from various verticals of the analytics team, ensuring smooth operations and compliance with SLAs
Develop and manage a centralized Grab Data Warehouse, participating in all aspects of its development. Liaise with stakeholders from Product, Business, Design, and Engineering throughout the process
To ensure that the data we deliver always maintains a very high standard of quality, we initiate and implement data quality solutions for business metrics
Established dashboard monitoring and integrated it with alerting tools using Power BI for data visualization and Pagerduty for alerting. This increased visibility and awareness of our system by providing dashboards for: -Data Pipeline Monitoring -Data Quality Monitoring -Query Monitoring -Database Health Monitoring -SLA Monitoring
Lead Self Service Analytics Team, with goals is to democratize data access and analysis, empowering business users to become more self-reliant in exploring and interpreting data, thereby fostering a culture of data-driven decision-making within organizations.
Working closely with internal stakeholders (Marketing, Finance, Analytics) to gather business requirements
Creating and overseeing solutions that empower end-users to become self-reliant
Design & Build Data warehouse & Data Pipeline using GCP Environment ( Data flow, Cloud Function, BigQuery, Airflow / Composer, Data Fusion) for end to end process , currently we maintaining and developing four Data Warehouse for several entity company (Logistics, Remittance, Payment, E-money).
Build data quality solutions to ensure accuracy and availability of our Dataset
Initiate automation process to improve our team productivity
Work closely with our users from all Department so that we can always meet their expectations
Leading & Developing Data Engineering team, that support very wide organization with high standard.
Design, build and scale our data warehouse, the backbone of Grab’s Analytics, we are using Azure platform for end to end solution.
Participate in all aspects of developing a data warehouse. Design, develop, test, deploy and support scalable and exible data warehouse system that can integrate with multiple LOBs
Design and implement scripts, ETL jobs, data models, etc.Liaison with Product, Business, Design and Engineering stakeholders to dene and review technical specifications
Identify system and application metrics for quality assurance, develop dashboards and setup alerts for metrics and thresholds
Implement RLS (Row level security) to our Data Warehouse to can increase the security of the table , RLS will ensure that someone has to access only those data rows that are pertinent / relevant.
Company Description
Grab is Southeast Asia's #1 ride-hailing app, food delivery service, and cashless payment solution all in one. With the new Grab app, you'll get the most convenient booking service for private cars and taxis from the largest community of drivers in the region, food delivery from your favorite restaurants to satisfy any craving, and cashless payments in-app and at merchants across the city. Whatever you need, Grab has you covered
Developing strategies for effective data analysis and reporting
Develops and maintain an overall data architecture / Data mart that supports the information needs of the business in a flexible but secure environment
Selecting, configuring and implementing analytics solutions
Leading and developing a team of Data Analysts and Business Intelligence, totaling 8 peoples
Build data quality solutions in the Data Analytics team that can ensure data integrity and data quality is always at the highest level
Initiate several Automation projects which can significantly increase team productivity
Company Description
GrabKios is a digital app from Grab to empower traditional stores or 'warung' & small economy to become more advanced
Designs and implements ETL Job (Extract, Transform and Load)
Write complex queries on the data, making sure it is easily accessible and works smoothly
Develop and maintain Datamart For CLM (Customer Lifecycle Management)
Develop and maintain data warehouses from scratch that can be used for reporting or analysis by Data Analyst
Maintain Database and create ETL job for data ingestion to campaign tools (IBM Watson Campaign Automation)
Assist business user with reporting and analysis
Build Data warehouse from Scratch using Postgre SQL Database
Company Description
Kudo is Indonesia’s leading Online-to-Offline (O2O) platform. Kudo enables digital entrepreneurs (“agents”) across Indonesia to become the gateway for unbanked & less tech-savvy customers to the digital ecosystem. Kudo’s extensive agent network across 500+ cities in remote towns and rural areas of Indonesia enables customers to transact & pay online for the first time in their lives. The company offers a wealth of services through partnership with various merchants & suppliers, ranging from cell-phone top-up, bill payments, online shopping, all the way to fin-tech & digital payment services. Kudo was co-founded by Albert Lucius & Agung Nugroho in 2014.
Since May 2017, Kudo has officially been acquired by Grab, Southeast Asia’s leading ride-hailing platform. Together with Grab, Kudo is committed to enable underserved customers to transact online through technology in Southeast Asia.
importing, cleaning, transforming, validating or modeling data with the purpose of understanding or making conclusions from the data for decision making purposes Analytics
Presenting data in charts, graphs, tables and analyzing data, and developed various Shell script in Linux OS for provide some of different campaign result to support Business team
Developed Complex Database SQL queries using various joins and developed various dynamic SQL's thorough out the projects.
Develop all dynamic report and auto report using Jaspersoft technology from scratch to support Business Team and Product Manager.
Responsible to create Insight Analysis
Maintained RBT (RIng Back Tone) Service for Hutchinson Provider ,included Hardware, Software and Reporting and also make sure all service is running well
Responsible to monitoring trend about Revenue and Subscriber and make Analysis to Optimize the product performance
Working Closely with Managing DIrector and Product Manager
Supporting Campaign and Analytics team for Data Preparation and Presentation
Assist business user with day to day daily reporting and analysis
Support to Create Datamart for Customer based profile (Prepaid and Postpaid)
Involved in developing shell scripts for data collection and integration from another source (Oracle DB,log,text file) to a single source Teradata database for Analysis (structure and unstructured data)