XTN-566B932 | SENIOR DATA ANALYST
We’re hiring a Senior Data Analyst to support our Data and Insights team by leveraging AI/ML tools, data visualization platforms, and statistical analysis to transform raw data into actionable insights. This role will also contribute to market research, competitive intelligence, and web scraping initiatives, helping drive informed business decisions in a
fast-evolving environment.
- Health Insurance/HMO
- Enjoy unlimited MadMax Coffee
- Diverse learning & growth opportunities
- Accessible Cloud HR platform (Sprout)
- Above standard leaves
Key Responsibilities:
Collect, clean, and manipulate large datasets using SQL, Python, or R to support
business insights.
Apply statistical methods and quantitative analysis to identify trends, correlations, and
actionable insights.
Support AI/ML initiatives by preparing datasets, training basic models, and leveraging
tools such as TensorFlow, PyTorch, or scikit-learn.
Create and maintain interactive dashboards and reports using data visualization
platforms like Power BI, Tableau, or Looker.
Conduct web scraping using tools such as BeautifulSoup, Scrapy, or Selenium to
gather competitive intelligence and market research data.
Utilize market research tools and competitive intelligence platforms to support
business strategy and growth initiatives.
Collaborate with senior analysts and cross-functional teams to translate business needs
into data-driven solutions.
Present findings and insights clearly through presentations, reports, and visual
storytelling tailored to both technical and non-technical stakeholders.
Stay updated with evolving AI technologies, data tools, and industry best practices,
applying them to improve analytical processes.
Ensure accuracy, consistency, and integrity of data used in reporting and analysis.
Skills:
At least 4 years of relevant data analytics experience.
Proficiency in AI/ML tools (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with data visualization (Power BI, Tableau, or Looker).
Web Scraping: Familiarity with tools like BeautifulSoup, Scrapy, or Selenium.
Strong command of SQL, Python, or R for data manipulation.
Familiarity with market research tools and competitive intelligence platforms.
Exceptional statistical and quantitative analysis skill.
Strong analytical and critical thinking skills.
Excellent communication and ability for presenting data insights.
Adaptability to fast-changing AI technologies and market dynamics.