Senior Data Analyst - Lending
Description
What Will You Do:
- Provide analysis to measure impact of new feature, business flow, campaign and present the result in visual way to make data storytelling easier
- Create new & manage automated report/dashboard based on requirement defined by Stakeholders to ensure Stakeholders consume correct and latest data
- Create new & manage Data Mart to make work easier & faster
- Ensure correctness of data by collaborate with Data Engineer to maintain data quality aspect
- Become strategic partner with Stakeholders from various background by advising new metrics, data source, visualization and other analytical methods for better data-based decisions
- Must be capable of tailoring complex messages into simplified and business applicable material
- Aware of beside high accuracy, speed delivery of task as important as well
- Stay up-to-date with data and analytics trend
What You Need To Have:
- Have experience related with data analyst at least 3 years
- Can create user friendly and insightful dashboard/report using one of various BI Tools (Eg : Tableau, Power BI, Google Data Studio, etc)
- Can operate various type of data sources (eg. NoSQL, RDBMS, JSON, etc) to be implemented in analysis & report/dashboard
- Have experience to provide analysis (Descriptive/Diagnostic/Predictive/Prescriptive) with help of analytics tool (Eg : Big Query, Python, R, SPSS, etc)
- Have knowledge of Data Mining concept (Eg : Statistics, Machine Learning, Forecasting, etc)
- Experience to process Core Banking data and fully understand end to end flow process of Digital Lending
- Can explain of own project which he/she worked on using great storytelling skill
- Thinks of a more holistic approach/cross functions
- Comfortable working with million rows of data
- Thinks out of the box to propose and implement an alternative solution if needed
- Good intrapersonal skills to collaborate within/across function
- Self driven, high curiosity, problem solving mindset and very detail oriented
Plus Point If You Have:
- Have experience using Google Big Query & Looker
- Have experience to explore data from 3rd party platform (eg : Web & Mobile Analytics Platform, Marketing Attribution Platform, API logging platform, etc)
- Have best practice to build Data Mart
Skills
As published by lever · 13 questions · 5 written answers
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website
Short answers (4)
- How many years of Data Analyst experience do you currently have?
- Your current salary
- Your expected salary
- When can you start working (notice period)?
Pick from a list (4)
- Please fill out the required screening form through this link: http://bit.ly/AmarBankScreeningForm optional
- Are you willing if your employment status is contract 12 months?
- Are you willing to fully work from office (WFO) in South Jakarta?
- Have you ever handled product lending and funding?
Written answers (5)
- Do you have experience managing team? If yes, how many team members that under your supervision?
- What tools do you use to analyze data (Programming languages, BI tools) ?
- What lending products have you analyzed? Which specific area of lending did you focus on? optional
- What products have you worked on as a Data Analyst?
- Do you have experience in providing analysis across various levels, including Descriptive, Diagnostic, Predictive, and Prescriptive? If so, could you share examples of projects where you applied each type of analysis?

