Data Analyst, Commodity and Eq · Bengaluru
Intercontinental Exchange · Intercontinental Exchange
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Job highlights
Designation Offered
Data Analyst, Commodity and Eq
Job Role
Data Analyst
Department
Business Operations
Job Type
Fulltime
Salary
6.00Lacs
Experience
Fresher
Job Location
Bengaluru
Education
Bachelors/Undergraduate Degree
Posted by
Intercontinental Exchange
Posted On
1 May 2026
Valid until
30 Jun 2026
Skillset required
Job Description for Data Analyst, Commodity and Eq
A role-focused description with responsibilities, expectations, and qualifications for this opening.
Data Analyst, Commodity and Equity Markets is a delivery-focused opportunity based in Bengaluru, India.
Key Responsibilities: Utilize data to identify and analyze trends in our markets. Provide insights to support decision-making processes.
Key Responsibilities
- Key Responsibilities: Utilize data to identify and analyze trends in our markets
- Provide insights to support decision-making processes
- Develop and implement models to enhance market performance
- Own day-to-day Data Analyst, Commodity and Equity Markets 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.
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