Job Overview:
statistical modeling. In this role, you will work with cross- functional teams to collect,
process, analyze, and transform operational data across our O2O home service platform.
The goal is to enable data- informed decision making, optimize marketplace efficiency,
bTaskee is seeking a data- driven professional with strong analytical skills, hands- on
experience in ETL/data pipeline workflows, and initial exposure to machine learning or
and support early ML initiatives related to forecasting, matching, and performance
ptimization.
Responsibilities and Duties:
Develop, maintain, and improve ETL pipelines to support reporting, analytics, and ML workflows.
Contribute to small- scale ML/AI experiments (e.g., forecasting, classification, clustering, recommendation) to support decision making and automation
Conduct exploratory data analysis (EDA) to identify patterns, anomalies, operational inefficiencies, and growth opportunities.
Build dashboards, KPIs, and periodic performance reports to support Product, Ops,Business, and Strategy teams.
Work with real- time or near- real- time operational data streams to monitor performance across supply, demand, fulfillment, and customer experience.
initiatives.
Document data logic, transformation rules, definitions, and workflow specifications to ensure clarity and internal alignment.
Collaborate with Data Engineering, Product, Operations, and Tech teams to ensure data consistency, quality, and accessibility across systems.
Support experimentation and AB testing frameworks; interpret outcomes andhighlight actionable insights.
Qualifications and Skills:
Must have
Understanding of statistical analysis and data validation methodologies;
Hands- on experience with Python for analysis, automation, and/or modeling (Pandas, NumPy, Scikit- learn or equivalent);
Familiarity with data pipelines, ETL, and workflow scheduling (e.g., Airflow, Luigi, Prefect or equivalent);
Bachelor’s Degree in Software Engineer/Information Technology or IT- related major;
Ability to convert analytical results into clear insights for business or product stakeholders.
Good communication and collaboration skills; proactive problem- solving mindset.
Familiarity with dashboarding/BI tools (Power BI, Tableau, Looker, Metabase, or similar);
1–3+ years of experience in Data Analyst, Analytics, BI, or related roles;
Strong proficiency with SQL (analytical queries, joins, aggregations, window functions);
Nice to have
Experience with real- time data processing tools (e.g., Kafka, Spark Streaming, Flink, or equivalent) — early exposure is acceptable.
Exposure to ML/AI topics such as classification models, forecasting, clustering, or NLP;
Knowledge of A/B testing or experimentation frameworks;
At bTaskee, we don’t just work – we thrive with top- notch benefits!
BYOD Support – Get an allowance while enjoying the flexibility of using your own laptop;
Celebration Perks – Special benefits for birthdays, weddings, childbirth, and more;
Competitive Salary – Rewarded based on your experience and skills;
Generous Leave Policy – Enjoy 12–16 annual leave days per year;
SHUI Compliance – Contributions aligned with legal regulations;
Annual Performance Review – Unlock growth opportunities every year;
Advance Home Care Benefit – Get a monthly bTaskee package, freeing up your time for learning, relaxation, and self- care.
Engaging Workplace – Activities & exciting team- building events;
Comprehensive Healthcare – Regular check- ups & a premium health package;
KPI- Based Salary – Earn what you deserve through your contributions;
13th- Month Bonus – Rewarded based on both your performance and the company’s success;
🚀 Join us and thrive in a workplace that values both your growth and well- being!
