Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level data role in Bangalore with broad toolset and skills attracts high competition.
Core analytics skills are transferable, but business acumen and domain context create moderate industry specificity.
Mandatory four-year minimum plus required Python, SQL, Power BI and cloud/data platform skills increases strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Collect, process, and analyze complex datasets to generate actionable insights and maintain automated reporting systems across Asia Pacific.
Build detailed reports and dashboards using data tools (e.g., Power BI, Python, SQL) to communicate data clearly and support decision-making.
Apply analytics, AI/ML, and data science techniques to develop and deliver analytical models and solutions, while collaborating with multi-functional teams to improve data processes.
Minimum Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics or related field, or equivalent experience.
Minimum 4 years of relevant experience in data analysis and reporting.
Proficiency in Python, SQL, VBA, MS Excel, and Power BI for data manipulation, modeling, visualization, and communication.
Strong understanding of data warehousing, cloud data platforms (e.g., AWS, Snowflake), big data technologies, and ability to automate data workflows using Power Platform (Power Automate, Power Apps).
Ideal Candidate Profile
Experienced in handling moderately complex datasets with strong skills in statistical and predictive analytics including AI/ML techniques.
Strategic thinker with solid business and financial acumen to translate data insights into value-creation for stakeholders.
Comfortable working in an agile environment managing multiple priorities with strong communication and collaboration skills across technical and business teams.