Senior Data Analyst

About the Role

As our Data Analyst, you’ll be part of GoTo’s Enterprise Data Team that manages the Enterprise Data Warehouse as the Central repository of data for all Enterprise Functions which includes Finance, Accounting, Tax (FAT), HR, Corporate Planning, ESG, Procurement etc. This team is responsible for producing and managing GoTo’s critical Financial / Corporate reports. You’ll work as the Business Partner for these functions to enable some of these key processes. You’ll have ample opportunity to flex your SQL and Python programming skills, streamlining and automating various corporate planning and financial operations for the wider team to utilize.

Your primary responsibilities includes:

• Identify business problems and design data analytics solutions, ensuring end-to-end data flow to deliver actionable insights.
• Act as a "Data Advisor" to business teams, transforming terabytes of data into impactful stories through analysis, profiling, and sampling.
• Analyze complex datasets to uncover patterns, root causes, and propose data-driven solutions to improve business outcomes.
• Develop and automate data collection, analysis, and reporting processes, ensuring data quality and alignment with business needs.
• Collaborate with cross-functional teams, providing data insights, supporting data engineering, and ensuring data quality and security standards.

What You Will Do

• Partner with users to deeply understand their needs, transforming requirements into innovative and impactful data solutions
• Dive into complex datasets, uncovering hidden patterns and insights to solve critical problems, identify root causes, and propose strategic solutions
• Develop, refine, and maintain cutting-edge data analysis scripts that drive powerful insights and streamline data workflows
• Spot opportunities to automate processes, enhance data collection, elevate analytics, and create smarter visualizations to boost reporting efficiency and quality
• Build and integrate large, complex datasets that seamlessly align with both business and technical needs, ensuring robust, actionable insights
• Adhere to data governance, security protocols, and best practices to ensure data integrity and compliance

What You Will Need

• 3 to 5+ years of experience in Data Analytics with a graduate degree in a quantitative field (e.g., Computer Science, Statistics, Informatics, Information Systems, Mathematics)
• Passionate and highly knowledgable in big data technologies and big data stack ecosystems
• Proficiency in databases (Relational & NoSQL: BigQuery, MySQL, SQL Server, PostgreSQL, etc.) and visualization tools (Tableau, MS PowerBI, Metabase, GStudio)
• Hands-on experience with data pipeline and workflow management tools (e.g. Airflow)
• In-depth knowledge of database structure principles, data warehousing, and data mining concepts
• Strong SQL, programming skills, relational databases, and query authoring experience
• Experience in gathering and analyzing system requirements, with expertise in big data analytics, architectures, and large datasets
• Skilled in processing, manipulating, and extracting value from large, disconnected datasets
• Experience with cloud computing platform (preferably GCP) and UNIX environment
• Ability to analyze data-related issues and drive improvements through root cause analysis
• Strong communication skills in Bahasa and English (written and spoken), with the ability to collaborate across teams

Plus Points

• Experience in finance and accounting processes
• Skills in DevOps/DataOps for optimizing data pipelines

About the Team

The office of the CIO leads the company's information technology strategy and implementation. All internal and enterprise systems are maintained and implemented by the CIO’s team; they look after a variety of systems, including (but, not limited to): finance, people services, productivity, operations, internal security login, authentication, account authorization, account audits, and email. This office also leads all IT asset procurement, budgeting, and implementing equipment policies.

Under the office of the CIO, the IT Enterprise Systems team governs, manages, and aids GoTo’s Enterprise applications and information globally. The Enterprise Data team, part of the IT Enterprise Systems Team (which this role will be situated within), is a new team being built. Based in Jakarta, Indonesia, this team will be the single source of truth for the GoTo Enterprise, catering to all corporate functions of GoTo and its operating units. This team will work alongside the IT Infrastructure and IT Information team. This is an exciting time to join our squad as we’re prepared to expand rapidly in 2023 by tapping into newly-emerged offerings within the GoTo group ecosystem and beyond.

Our roles range from carrying out project implementations to supporting users globally. We’re part of the team that oversees all internal enterprise systems that are maintained and implemented by the CIO’s team, and work together to govern, troubleshoot, and improve them. It’s our job to ensure that GoTo Enterprise applications run seamlessly. We're a highly dynamic team, so our emphasis on learning and working on new things (i.e. going the extra mile) is our key to success.

We are a tight-knit group that is bonded by two things: supporting GoTo's capability as a global company, and supporting each other as a family. For real - our weekly conversations range from the latest automation breakthroughs to sharing our favorite ways to stay healthy and happy as we get through this pandemic together. We don't mind working extra hours if need be (sometimes, things come unexpectedly) because we're encouraged by seeing our efforts come to fruition and benefit our users around the globe.

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