Finance & Business Intelligence Analyst will be working within the CEO Office team on supporting analytics and data products (automated dashboards, reports, & budgeting tools) which will create business impact at scale in regards to business in general, operational, and finance metrics. The main purpose of the Finance & BI stream within the CEO Office/Strategy is to assist the CEO Office Team in making a company-wide strategy analysis that would be affecting Pinhome future direction and decisions with a focus on optimizing Pinhome’s ROI in each product vertical. This team is dedicated to providing, ensuring quality, developing self-service data products, and acting as a thought partner for the CEO Office and CEO. Our vision is for the CEO Office team to be able to focus on making the decisions while not worrying about the data, its integrity, and how to use them.
1. Lead and/or assist the creation of data infrastructure alongside Pinhome’s data team
2. Deliver insight, analysis using statistical tools, data visualization and business use case to product and business team
3. Perform high-level analysis on company level perspective including customer-centric analysis, budgeting analysis, & unit economics analysis
4. Building & maintaining dashboards for tracking OKR, company performance, & unit economics
5. Partnering with Business teams to help them create decisions based on decision science
1. Have at least 2-3 years of working experience with basic statistics and Machine Learning (forecasting, clustering, and statistical significance test). Furthermore with a strong business sense and data-driven role background
2. Expert in SQL and strong experience with a data visualization and dashboarding tool (e.g. Tableau, Metabase, Google Data Studio, etc) - Familiar with doing data analysis with R or Python Analyst: Fresh graduate with outstanding credentials is welcome
3. Bachelor’s degree in a relevant field of study. Top public/private university background with outstanding academic record - Comfortable working both independently with minimal guidance and in a team setting
4. Ability to use critical thinking daily to manage daily tasks while being goal-oriented
5. Ability to transform an ambiguous business or product problem into a well-scoped and impactful analysis; able to design simple experiments
6. Fundamental analytical and conceptual thinking skills; a track record of following through on commitments; excellent planning, organizational, and time management skill
6. The ability to influence stakeholders and work closely with them to determine acceptable solutions.
7. Attention to detail and ability to multitask
8. Fundamental knowledge in data warehouse and data modeling concept - Practical experience in predictive modeling
Bonus Points: If Have had exposure in finance/business field