Senior Data Analyst, ML Expert · Bengaluru
Philips · Philips
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Job highlights
Designation Offered
Senior Data Analyst, ML Expert
Job Role
Data Analyst
Department
Business Operations
Job Type
Fulltime
Salary
12.00Lacs
Experience
6–10 years
Job Location
Bengaluru
Education
Masters/Post Graduation Degree, Bachelors/Undergraduate Degree
Posted by
Philips
Posted On
2 May 2026
Valid until
1 Jul 2026
Skillset required
Job Description for Senior Data Analyst, ML Expert
A role-focused description with responsibilities, expectations, and qualifications for this opening.
Senior Data Analyst, ML Expert is a delivery-focused opportunity based in Bengaluru, India.
Job Responsibilities Analyze complex datasets using advanced statistical methods and machine learning techniques. Create predictive models and data visualizations using Python, R, and Palentir.
Key Responsibilities
- Job Responsibilities Analyze complex datasets using advanced statistical methods and machine learning techniques
- Create predictive models and data visualizations using Python, R, and Palentir
- Present data-driven insights and strategic recommendations to stakeholders
- Own day-to-day Data Analyst, ML Expert workflows with a focus on throughput, control, and process clarity.
- Track operational execution closely and intervene early when bottlenecks or exceptions emerge.
- Coordinate across teams to keep dependencies moving and stakeholders informed.
- Review reports, data, or reconciliations to identify gaps, risks, and corrective actions.
- Standardize repeatable processes and improve documentation so work is easier to execute reliably.
- Resolve escalations with urgency while preserving process integrity and service quality.
- Maintain clear records of outcomes, blockers, and action items for operational visibility.
- Partner with managers and functional teams to improve workflow design and turnaround times.
- Use operational metrics to prioritize improvement efforts and measure changes over time.
Preferred Qualifications
- Bachelor's degree or equivalent practical experience in operations, commerce, business, or a related field.
- Strong analytical thinking with the ability to work through ambiguity and operational bottlenecks.
- Excellent coordination, communication, and stakeholder-management skills.
- Comfort working across data, process, and execution details to improve throughput.
- Strong ownership mindset with attention to detail and follow-through.
- Ability to balance process discipline with fast-moving business needs.
Applications should be submitted through the listed apply link.