Data Analyst trainee · Gurugram

Data Analyst trainee is a delivery-focused opportunity based in Gurugram, India.

You will work closely with our senior data analysts to gather, process, and analyze large datasets. This role offers an excellent opportunity to gain hands-on experience with data analysis tools and techniques in a dynamic and fast-growing environment.Key ResponsibilitiesAssist in gathering and interpreting data from multiple sources.Clean and preprocess data for analysis purposes.Perform data analysis to extract valuable insights.Create and maintain reports/dashboards using Excel, Tableau, or Power BI.Support senior analysts in building and optimizing queries in Python and SQL.Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.Skills RequiredProficiency in Advanced MS Excel, including pivot tables, formulas, and data manipulation techniques.Hands-on experience or strong understanding of Python and SQL for query building and data manipulation.Familiarity with data visualization tools such as Tableau or Power BI.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Excellent communication and presentation skills.QualificationsBachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field.Prior internship or project experience in data analysis is a plus.Ability to work independently and collabora

Key Responsibilities

• You will work closely with our senior data analysts to gather, process, and analyze large datasets
• This role offers an excellent opportunity to gain hands-on experience with data analysis tools and techniques in a dynamic and fast-growing environment.Key ResponsibilitiesAssist in gathering and interpreting data from multiple sources.Clean and preprocess data for analysis purposes.Perform data analysis to extract valuable insights.Create and maintain reports/dashboards using Excel, Tableau, or Power BI.Support senior analysts in building and optimizing queries in Python and SQL.Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.Skills RequiredProficiency in Advanced MS Excel, including pivot tables, formulas, and data manipulation techniques.Hands-on experience or strong understanding of Python and SQL for query building and data manipulation.Familiarity with data visualization tools such as Tableau or Power BI.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Excellent communication and presentation skills.QualificationsBachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field.Prior internship or project experience in data analysis is a plus.Ability to work independently and collabora
• Own day-to-day Data Analyst trainee 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.
• Support audits, governance checks, or compliance requirements where process accuracy matters.

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.