Manager – Business Intelligence

5 days ago


Noida, Uttar Pradesh, India Ramp Infotech Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Title
: Manager – Business Intelligence & Data Analytics

Location
: Noida-58 (WFO)

Job Description:

A. General Purpose of the Job

The Manager – Business Intelligence & Data Analytics will lead reporting, data insights, and process optimization initiatives while supporting US-based clients and internal stakeholders. This role requires working in the 
US shift
 to align with client operations, reporting schedules, and communication needs.]

B. Essential Job Functions

1. Business Intelligence & Reporting

  • Lead end-to-end reporting and analytics using SQL, DB2 (AS400), Crystal Reports, Ontario Reports, and Artiva datasets.
  • Prepare weekly, monthly, and ad-hoc analyses for senior leadership and US-based clients within strict timelines.
  • Build, automate, and optimize dashboards, KPI reports, and operational performance metrics (roll rates, contact rates, payments, penetration, etc.).
  • Update and distribute monthly department performance and productivity reports.
  • Act as the analytical resource for cross-department special projects and client-driven reporting needs.

2. Artiva & System Expertise

  • Work across Artiva RM (Dev/Test/QA/Prod) environments for reporting, data extraction, configuration support, and system enhancements.
  • Support Artiva namespace maintenance, role-based access, and security configuration.
  • Provide operational support to the Collections team, including performance analytics and skip tracing oversight.

3. Data Management & Technical Operations

  • Write, execute, and optimize complex SQL queries across DB2 (AS400) and Intersystem Caché databases.
  • Collaborate with Technology teams to gather business requirements and perform User Acceptance Testing (UAT).
  • Manage secure file transfers, PGP encryption, and automate report delivery using GoAnywhere.
  • Perform data validation, troubleshoot inconsistencies, and implement corrective actions for process improvement.

4. Project Management & Process Optimization

  • Lead analytics-driven projects supporting business units and US client operations.
  • Evaluate existing systems, workflows, and reporting processes; recommend improvements and drive implementation.
  • Provide reporting support and operational insights to leadership across the US and India.
  • Maintain effective stakeholder relationships and work under pressure to meet US-shift deadlines and deliverables.

C. Marginal Job Functions

  • Participate in prioritizing system fixes, enhancements, and new reporting requests.
  • Perform additional responsibilities and tasks as assigned by management.

D. Qualification Standards

Education & Experience

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related discipline (or equivalent experience).
  • 7+ years of experience
     in Business Intelligence, Data Analytics, or Reporting roles.
  • Hands-on experience with 
    DB2

    AS400

    SQL
    , and enterprise BI/reporting tools (mandatory).
  • Strong preference for candidates with experience in 
    Artiva / Finvi collection systems
    .
  • Prior exposure to US-based clients or US operations is highly beneficial.
  • Experience in collections, financial services, or operations analytics is a plus.

Skills & Abilities

  • Strong expertise in SQL (DB2, Caché) with a solid understanding of relational databases and data modeling.
  • Proficiency in Crystal Reports, Ontario Reports, and business intelligence/reporting tools.
  • Strong understanding of KPI reporting, operational trend analysis, and productivity metrics.
  • Experience working with AS400 green-screen commands, DB2 queries, and CL scripting (preferred).
  • Working knowledge of secure file management tools such as PGP, SFTP/FTP, and GoAnywhere.
  • Excellent verbal and written communication skills for interaction with US-based clients and senior stakeholders.
  • Ability to work independently, manage deadlines effectively, and adapt to the requirements of a US shift.
  • Strong sense of confidentiality, professionalism, and attention to detail.


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