Senior Data Analyst
SQL Python Data Analysis
Salary
Location
Job Overview And Responsibility
• Assist in the development and maintenance of reports, dashboards, and analytical tools to support business decision-making. • Conduct in-depth data analyses, focusing on practical problems that drive business improvement. • Support the maintenance and innovation of our analyst infrastructure, including code bases and business intelligence tools. • Work collaboratively with various departments to enhance workflows and organizational efficiency. • Participate in talent acquisition and management efforts to strengthen our analytics team.
Required Skills and Experience
• A proactive individual who is exceptional in asking the right questions that lead to actionable business insights. • Strong skills in conducting thorough analyses, whether through data analysis, market research, or effective cross-team communication. • Proficiency in SQL and Python for data querying and manipulation. • An aptitude for critically evaluating data outcomes, uncovering key insights, and challenging assumptions. • A keen interest and proven ability to leverage new technologies to enhance work quality and productivity. • A proven track record in banking, fintech, or retail business intelligence teams is highly advantageous.
Why Candidate should apply this position
• Competitive compensation package, including 13th-month salary and performance bonuses. • Comprehensive health care coverage for you and your dependents. • Generous leave policies, including annual leave, sick leave, and flexible work hours. • Convenient central District 1 office location, next to a future metro station. • Onsite lunch with multiple options, including vegetarian. • Grab for work allowance and fully equipped workstations. • Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday. • Unlimited free coffee, tea, snacks, and fruit to keep you energized. • An opportunity to make a social impact by helping to democratize credit access in emerging markets.
Preferred skills and experiences
• Prioritize candidates who can onboard as soon as possible.
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