Product Analytics (Multiple seniority level positions available)

GudangAda; Tangerang; On-site; IDR 539,374,325 - 898,957,209; Full time

Benefits offered by this job

Personal growth

Huge impact to society

Full WFH during the pandemic

Job summary

GudangAda, located in Tangerang, Indonesia, is seeking a Product Analytics professional. This role involves collaborating with product and data teams to drive product growth and ensure data integrity.

Ideal candidates hold a degree in a quantitative field, possess strong SQL skills, and have experience with various data visualization tools. The position emphasizes personal growth and the opportunity to make a significant societal impact. Full work-from-home is offered during the pandemic.

Qualifications

• Bachelor's or Master's degree in a quantitative field from a reputable university.
• Strong SQL skills to perform complex data queries.
• Experience with data visualization tools.
• Good understanding of statistical concepts.
• Strong problem solving and analytical skills.

Responsibilities

• Work closely with product team to improve product deliverables.
• Collaborate with data team to maintain data integrity.
• Set up and monitor metrics for product performance.
• Conduct quantitative analysis for business questions.
• Deliver presentations of findings to stakeholders.

Skills

Strong SQL skills

Data visualization tools experience

Scripting for data analysis

Statistical concepts understanding

Analytical skills

Communication skills

Education

Bachelor's or Master's degree in quantitative field

Tools

Metabase

Tableau

Power BI

Python

R

Job description

Product Analytics (Multiple seniority level positions available)

• Full-time

GudangAda is a leading B2B marketplace platform with USD 120+ million raised from Sequoia Capital, Alpha JWC, Asia Partner, and Falcon Edge. We focus on addressing the underserved needs of millions of traditional retailers in Indonesia, a segment that faces challenges including limited product variety, uncompetitive wholesale prices, lack of access to producers’ promotional support, and lack of reliable and cost-effective delivery services.

Responsibilities

• Work closely with the product team members such as product managers, engineering, research, and design to push product growth while continuously improving product deliverables
• Work collaboratively with core data team members such as data engineers and data scientists to maintain data integrity and improve data deliverables
• Setting up and monitoring metrics for measuring product/project/functional performance and responsibility to define and examine tracking specifications for those metrics
• Work with a complex and large volume of data to understand trends, behaviors, and opportunities for improvement using an analytical approach/technique
• Conduct quantitative analysis to answer the various business questions (e.g. impact analysis, funnel analysis, cost-benefit, segmentation, forecasting)
• Help design, execute and interpret the results of A/B tests to optimize existing features or evaluate new features implementation
• Deliver effective presentations of findings and recommendations to multiple levels of technical and non-technical stakeholders, creating visual displays of quantitative information

Qualifications

• Bachelor's or Master's degree in a quantitative field such as Computer Science, Mathematics, Statistics, Engineering from reputable university.
• Fresh graduates and experienced hires can apply
• Strong SQL skills to perform complex data queries and data manipulation
• Experience developing reports and/or dashboard using data visualization tools (metabase, mixpanel, tableau, power BI)
• Experience with scripting for data analysis and/or visualization (phyton, R)
• Good understanding of statistical concepts and experimental design (especially A/B experiments)
• Strong problem solving and analytical skills, able to effectively turn business questions and/or problems into data analysis and interpret data analysis into understandable insights
• Ability to work in a fast paced startup environment by maintaining high standards of accuracy and attention to details
• Strong communication skills and able to tell story with data
• Prior exposure to web or android tracking is a great plus
• Prior experience in marketplace, logistic, e-commerce, B2B or top tech company is a plus
• Prior experience in any data analytics role (data analyst, business intelligence, data scientist) is a plus

Benefits

• Personal growth
• Huge impact to the society
• Full WFH during the pandemic