Back
Tier-1 brand, common data title, mid-level experience, metro location, and broad skills increase competition.
Core analytics skills are transferable, though travel connectivity domain knowledge increases industry fit sensitivity.
Explicit 2+ years and required SQL/Python plus analytics domain skills make shortlisting moderately strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end analytics projects including problem framing, data preparation, analysis, visualization, and delivery targeting measurable business improvements.
Develop reliable, reusable datasets and data pipelines by extracting and combining large datasets from multiple sources using SQL and Python.
Create clear dashboards and automated reporting for diverse audiences, applying AI/LLM tools to enhance productivity while ensuring data quality and clear communication of methodology and recommendations.
Bachelor's or Master's degree in Mathematics, Science, Statistics, or related technical field, or equivalent professional experience.
1–2+ years of relevant experience in data analytics or 2+ years in a comparable professional role.
Intermediate proficiency in SQL, Python (or R), with experience in handling large datasets and creating reusable code/data pipelines.
Working knowledge of statistics, regression, experimental design, and experience with visualization tools like Tableau or Looker.
Experienced in applying analytical methods such as causal impact analysis, regression, and clustering to solve business problems.
Skilled at using AI and LLM tools to streamline workflows and automate repetitive tasks with appropriate quality control.
Able to communicate complex analytical findings effectively to both technical and non-technical stakeholders, enabling data-driven decision making.