Data Analyst

22 hours ago


Hyderabad, Telangana, India TrueID Full time ₹ 9,00,000 - ₹ 12,00,000 per year

TrueID
is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities

Job Description:

TrueID ) is looking to hire a Data Analyst

for a
Full-time
position at our Hyderabad Office. The Operations Data Analyst will play a critical role in supporting Operations Division (Issuing, Acquiring, Field Service, and Call Center) by transforming raw operational data into actionable insights. This role is responsible for designing and executing data analysis, building dashboards, identifying trends, and providing recommendations that drive operational efficiency, customer satisfaction, and achievement of OKRs.

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

Please apply only if you are an immediate joiner.


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