Back
Mid-level Bengaluru data analyst role with common tech stack and strong brand, high applicant density.
Strong analytics and engineering skills are transferable, though research/publishing domain familiarity helps.
Explicit 5+ years requirement plus mandatory Databricks, SQL, Python, and PySpark skills.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Deliver complex analytical projects using Databricks, Snowflake, SQL, Python, and related technologies independently.
Analyze large datasets to generate advanced insights, assess data and product quality, and support data product development.
Collaborate with Product Owners and Data Scientists within Research Data Platform domains to test hypotheses, validate data science algorithms, and provide recommendations.
Minimum 5 years of experience in business intelligence, data engineering, analytics, or related fields.
Strong SQL skills with experience on large and complex datasets and proficiency in Python programming.
Practical experience with Databricks, Apache Spark, PySpark, Pandas, and Snowflake for data analysis and transformation.
Not explicitly mentioned in the JD: Education qualifications and notice period.
Experienced working with distributed data-processing technologies and comfortable with statistical concepts like precision and recall relevant to data science.
Able to manage stakeholder expectations and communicate technical findings clearly to both technical and non-technical audiences.
Proficient in using visualization tools (Tableau or Power BI) and Agile tools (JIRA) to support analytic delivery and collaboration.