Senior Data Analyst
Cennext Inc., a leading BPO company based in Vietnam, is seeking a Senior Data Analyst specialized in pricing to join their remote team. This full-time, work-from-home role supports night shift hours (7:00 PM – 4:00 AM) and plays a critical role in aligning product and service pricing with market trends and revenue goals. You’ll be responsible for analyzing market data, testing pricing models, conducting competitive benchmarking, and contributing to pricing decisions through data-driven insights. The position offers a competitive salary, a 13th-month bonus, annual reviews, and comprehensive benefits including social insurance, performance rewards, and work-from-home support.
Ideal candidates will have a Bachelor’s degree in Applied Mathematics, Computer Science, or a related technical field, along with a strong foundation in mathematics and statistics. A minimum of 3 years' experience in data analysis or quantitative modeling is required, preferably within B2B/B2C marketplaces. Proficiency in SQL and Python is a must, and familiarity with tools like SAS and R is preferred. You should be well-versed in statistical modeling techniques such as regression analysis, survival analysis, and clustering. A B2-level or higher in English is mandatory, along with a proactive mindset and experience in fast-paced startup environments.
This opportunity is perfect for analytical professionals who thrive in dynamic, collaborative remote environments and want to be part of a fast-growing company. Cennext fosters a culture of inclusion, development, and performance, with support for both personal and professional growth through training, career pathways, and wellness programs.
Job Description
Determine the pricing of products/services to align with the market, competitors, and to optimize both profit and revenue for the company. Analyze market data, customer behavior, test different pricing models, and adjust pricing strategies based on market fluctuations. Using market pricing and competitive data develop an understanding of where the company sits in the market as compared to our competitors from a pricing perspective. Actively participate in pricing decisions by providing data-driven insights, formulating optimization proposals, setting up experiments, and evaluating results. Help to manage the collection of pricing and competitive market data by working directly with external data miners to obtain data needed to build research. Participate in the development of methodology for defining key metrics, related tables, and needed calculations.
Requirements
- Technical mindset and (at least) a Bachelor's degree in a Technical Science: Applied Mathematics, Computer Science, or other related field.
- Strong knowledge of mathematics and basic knowledge of mathematical statistics.
- Proficiency in English at a level not lower than B2 (must).
- 3+ years of experience in quantitative modeling, development, or implementation.
- Working experience in data manipulation and advanced data analysis.
- Experience with SAS, R, Python, and proficiency working with large datasets is required.
- Applied experience with Logistic Regression, Linear Regression, Survival Analysis, Time Series Analysis, Decision Trees, and Cluster Analysis.
- Experience as an analyst/data scientist, preferably in B2B/B2C marketplaces.
- Hands-on experience with SQL and Python for processing and analysis (must).
- Critical thinking ability to perceive complex, ambiguous, abstract requirements and break them down into smaller components, schemes, types, and characteristics.
- Demonstrated ability to work independently and be a self-starter.
- Ability to work effectively in a team, both in a leadership and support role.
- Willingness to work in a startup environment with constantly evolving goals.
Benefits
- Competitive salary based on ability.
- 13th-month salary bonus, Best Member performance rewards, and annual salary reviews.
- Transportation support (parking and bus pass).
- Full provision of work equipment.
- Professional, dynamic, and comfortable work environment.
- Full social insurance coverage according to Vietnamese labor law.
- Access to company-supported clubs such as yoga, badminton, and more attractive welfare policies.
- Working hours 7:00 PM – 4:00 AM
Location
Work from home (Night shift).
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