Data Analyst - Credit Card & Personal Loan

Mức lương: Thỏa thuận
Địa điểm: Hồ Chí Minh
Kinh nghiệm: Không yêu cầu
Bằng cấp: Trung cấp - Nghề trở lên

Hạn nộp hồ sơ: 27/07/2036 (Còn 3643 ngày)

Trusting Social

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Thông tin
Việc làm

Địa điểm làm việc:

Hồ Chí Minh

Ho Chi Minh City

(Trước sáp nhập: Quận 11, Hồ Chí Minh | Sau sáp nhập: Hòa Bình, Hồ Chí Minh)

CV CỦA BẠN CÓ PHÙ HỢP VỚI VIỆC LÀM NÀY?

Chi Tiết Công Việc

Mô tả công việc:

Conduct full digital banking product lifecycle analysis, including analyzing requirements, conducting analyses, developing reports, dashboards, and data insight recommendations, also monitoring performance and quality control to identify improvements.
Collaborate deeply with Data Engineering & Data Science to ensure data pipelines, event tracking, and data definitions are robust, consistent, and scalable.
Improve experimentation infrastructure and analytics workflows so insights can be delivered faster with higher confidence.
Own the full analytics loop: instrumentation → metric definition → analysis → insight synthesis → recommendation → impact tracking—ensuring insights translate into decisions and measurable outcomes.
Develop dashboards and reporting systems that are diagnostic and decision-oriented (explain drivers, isolate segments, surface anomalies), not just descriptive KPI tracking.
Proactively detect performance shifts, root causes, and risks (data quality, funnel breaks, cohort degradation), and drive structured follow-ups with teams to resolve them.
Partner closely with Product, Marketing, and Business leaders to shape strategy across acquisition, activation, engagement, retention, and profitability—using data to guide priorities, tradeoffs, and investment decisions.
Turn ambiguous questions into structured problem statements, hypotheses, and decision frameworks; define what “success” means and how to measure it.
Identify and quantify growth opportunities through segmentation, cohort/funnel analysis, and customer behavior insights; recommend concrete levers (product changes, targeting, pricing/offer strategy, lifecycle messaging) with expected impact.
Design and evaluate experiments (A/B tests, …) to validate hypotheses and convert learnings into repeatable playbooks.
Leverage AI/GenAI tools (advanced LLMs, AutoML, intelligent assistants) to improve speed, depth, and creativity of analytics, including insight acceleration, AI-assisted brainstorming, market/competitor research, and automation of data cleaning/QA checks.

Yêu cầu công việc:

Proven working experience as a data analyst.
Adept at full task flow from data query and collecting, report writing, to presenting findings based on significant amounts of information with attention to detail and accuracy.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Strong knowledge of and experience with databases (SQL).
Familiar with tools for analyzing datasets (Excel, VBA, R, Python, etc.).
Have experience with data visualization tools such as PowerBI, Google Data Studio, Tableau, Metabase, QlikView, etc.
Knowledge of credit products is optional.

Quyền lợi được hưởng:

Comprehensive health care coverage for you and your dependents.
Onsite lunch with multiple options, including vegetarian.
Unlimited free coffee, tea, snacks, and fruit to keep you energized.
Generous leave policies, including annual leave, sick leave, and flexible work hours.
All employees have endless opportunities for skill development.
Grab for work allowance.
13th-month salary and performance bonus.

Ngành nghề:

Dữ Liệu - AI - Học Máy, Nghiên Cứu Thị Trường, Quản Lý Sản Phẩm IT

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