Data Analyst

TrueID

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Key Responsibilities

• Collect, clean, and analyze large datasets from multiple systems (Oracle DB, Access, Excel, CRM, Call Center, POS networks).
• Build and maintain dashboards and reports to track KPIs (e.g., merchant service time ≤ 8h, complaint rate vs fintech benchmarks, CSAT uplift, franchise workforce growth).
• Provide detailed analysis of operational performance and highlight trends, anomalies, and root causes.
• Partner with Operations Managers, Experience Assurance Squad, and senior leadership to provide data-driven recommendations.
• Support quarterly OKR tracking with accurate progress reports and predictive insights.
• Perform incident and failure-time analysis to identify patterns and propose proactive solutions.
• Work closely with technology teams to automate data flows and improve data quality.
• Benchmark performance against global fintech standards (e.g., Revolut, N26) to identify gaps and improvement opportunities.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Business Analytics, Engineering, or a related field.
• 3–6 years of experience in data analysis, preferably in fintech, banking, or large-scale operations/business.
• Strong skills in Python SQL, Excel (PivotTables, Power Query), Access, and data visualization tools (Power BI, Tableau).
• Familiarity with statistical analysis and root cause investigation.
• Excellent problem-solving and critical-thinking skills.
• Strong communication skills, able to translate data into clear insights for non-technical stakeholders.
• Experience working in fast-paced, high-growth environments is a plus.

Key Competencies

• Analytical mind-set with attention to detail.
• Strong business acumen in operations and customer experience.
• Ability to manage multiple priorities under tight deadlines.
• Collaborative, proactive, and solution-oriented approach.

interested candidates please share your resume to sarika.m@trueid.in

Please apply only if you are an immediate joiner.