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Data Analyst Senior Lead

Company

Gojek

Address Jakarta, Indonesia
Employment type FULL_TIME
Salary
Category Teknologi, Informasi, dan Internet
Expires 2023-08-25
Posted at 9 months ago
Job Description
About The Role
As our Lead 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.
Your Primary Responsibilities Includes
  • Own the Project Development and Delivery of Enterprise DWH, which encompasses the following activities at large:
  • Build the Analytics eco-system to help decision-makers throughout the company make better and more quantifiable decisions
  • Help the Users and stakeholders realize a data-informed culture
  • Follow Organization standards for data quality, security, access
  • Ensure access to clean and usable data for stakeholders throughout the company.
  • Manages a large pool of Data Analysts supporting various Clusters / OpCo and Functions of GoTo;
  • Define the e-2-e flow of data to derive the Business Solution
  • Provide inputs to Data Engineering teams on requirements to support data
  • Responsible to develop and manage the Enterprise Data Warehouse of GoTo
  • Thorough Data Validation and correctness, identify data quality checks and propose improvements
  • Develop data automation for data collection, analysis, output to support BAU for Busness
  • Collaborate with Data and IT team members in enhancing the data platform
  • Represent data-related opportunities to GoTo as a member of our Extended Leadership Team
  • Implement best practices in data model & SQL using knowledge of GoTo’s Business Functions
  • Find new opportunities to put our data to work in service of business teams without compromising privacy or security;
  • Become the “Data Advisor” for business team and making an impact storytelling with data by summarizing, profiling, sampling and analyzing terabytes of data
  • Develop code and scripts using SQL and Python programming
  • Build highly insightful data analytics, reports and dashboards
  • Research opportunities for new uses cases
  • Understand a Business Problem and identify a Data Analytics Solution
What Will You Do
  • Own the responsibility of deliverables by:
  • Mentor the team in their approaches in analytics problem-solving, as well as soft skills
  • Follow data governance and security guidelines
  • Identify opportunities for automation, efficient data collection, smarter analytics, enhanced visualization and other technical strategies to optimize reporting efficiency and quality
  • Ensures team of data engineers utilizes diverse perspectives in developing solutions
  • Understand business requirements from users, analyze these findings, and and define the data solutions
  • Distinguishing important and unimportant approaches in data-based problem solving
  • Manage large team of data engineers across multiple Clusters / OpCos
  • Lead them into the optimal problem solving direction through critical analysis and evaluation of problems in hand
  • Identify, analyze, and interpret patterns in complex data sets to investigate issues, find root causes, and propose solutions
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Resolves conflicts and manage issues in between a team of data engineers and other departments
  • Presenting crafted solutions and proposals to stakeholders and analysts teams
  • Analyse current subordinates performances through KPIs and metrics, then develop methodologies to improve KPIs in the workforce procedures.
  • Builds a collaborative culture in the data engineer team
  • Create and maintain optimal data analysis scripts
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, e-commerce, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek, Tokopedia and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
About Tokopedia
Tokopedia is an Indonesian technology company with a mission to democratize commerce through technology. It has been a driving force behind Indonesia's digital development since its foundation in 2009, with more than 99% of districts and empowered around 12 million merchants listed nationwide. With Nakama ranging all across Indonesia, Tokopedia aims to simplify the lives of many to #FindYourPurpose together.