Data & Project Lead at Honest

Special capital Region of Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Collection, Data Cleaning, Data Analysis, Statistical Methods, Data Visualization, SQL, Python, R, Excel, Communication Skills, Collaboration, Continuous Improvement, Machine Learning, Predictive Modeling, Data Policies, Data Quality

Industry

Design Services

Description

Who we are: We are Honest - a company committed to building financial products that people truly love. Our products are designed to be fair, simple, and genuinely useful in everyday life. Our diverse team brings together people from different backgrounds who share the same goal: to create meaningful solutions that make finance better. After successfully launching our first product, we’re now in an exciting growth stage, learning fast, moving quickly, and building together as a team. About the role: As a Data & Project Lead, you will be responsible for collecting, processing, and analyzing large datasets to uncover valuable insights that drive business decisions. You will work closely with cross-functional teams to identify trends, create reports, and provide actionable recommendations based on your analysis. Your expertise in data visualization and statistical techniques will be essential in translating complex data into understandable formats. How you will make an impact: Data Collection & Cleaning: Gather data from various sources, including databases, spreadsheets, and APIs. Clean and preprocess data to ensure accuracy and consistency. Identify and correct data quality issues. Data Analysis: Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Use statistical methods and models to analyze data and generate insights. Develop and implement data analysis, and other strategies that optimize statistical efficiency and quality. Reporting & Visualization: Create and maintain dashboards, reports, and visualizations to present data-driven insights to stakeholders. Translate complex findings into simple, actionable recommendations. Present findings to senior management and other departments. Collaboration & Communication: Work closely with business stakeholders to understand their data needs and objectives. Collaborate with data engineers, data scientists, and other IT professionals to ensure data accuracy and availability. Communicate insights effectively to both technical and non-technical audiences. Involve in various projects that include new product development or system migration Continuous Improvement: Stay updated on the latest data analysis techniques, tools, and best practices. Propose and implement improvements to existing data collection and analysis processes. Contribute to the development of data policies and procedures. What you need to have: Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Knowledge in finance and accounting is a plus. 3+ Years of experience in a data analyst or similar role. Proven experience with data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Looker or similar. Skills: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Proficiency in querying and analyzing large datasets. Excellent communication skills, both written and verbal, with fluency in English required. Ability to work independently and manage multiple tasks/ projects simultaneously. Hands-on experience with optimization processes and continuous improvement. Technical Skills: Proficiency in SQL and experience with relational databases. Experience with data analysis tools (e.g., Python, R) Knowledge of cloud-based data platforms like Google Cloud (e.g Big Query) Knowledge of machine learning algorithms and predictive modeling is a plus. What makes you stand out: Fintech or credit experience Certified in Data Analytics Versatile in using various Data Analytics tools Our application process: Hiring is something we do with care. Because of that, having a transparent and thorough recruitment process is key. If you liked what you've read and are up for the challenge, here is what to expect after submitting your resume: The hiring team reviews your application You get invited to an initial call with the hiring team Onsite Interviews with relevant team members Offer Why you'll love it here: We’re all owners; Everyone at Honest gets ESOP (Employee Stock Option Plan) Training course and book subsidies You’ll be working with the smartest people in the industry Top-of-the-line medical healthcare plan Monthly wellness allowance One of the best-funded start-ups in South East Asia with Silicon Valley investors We don’t believe in titles or hierarchy but value contribution & celebrate achievements as a team Honest hiring: At Honest, we’re working hard to build the future of finance for Asia. To do so, we prioritize attracting the best talent worldwide to join us – regardless of their background and heritage. At Honest, we are committed to equal employment opportunities regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, or other class protected by applicable law. We are proud to be an equal opportunity workplace. If you want to be part of changing how people access finance in Asia, join us and help us build a global company where we’re all proud to belong.

Responsibilities

As a Data & Project Lead, you will collect, process, and analyze large datasets to provide insights that drive business decisions. You will collaborate with cross-functional teams to create reports and actionable recommendations based on your analysis.