Data Analyst

Overview

Position Description

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

Job Title: Data Analyst

Position: Senior Software Engineer

Experience: 10 - 14 Years

Category: Software Development/ Engineering

Shift: Hybrid - (1PM to 10 PM Shift)

Main location: Hyderabad

Position ID: J0126-0435

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are looking for a Senior Data Analyst with 10+ years of experience to join our Finance Data Office (FDO). This role is highly data-driven and requires someone who can think like a data architect, understand complex finance datasets end-to-end, identify patterns and anomalies, and translate insights into actionable outcomes for Finance leadership. The candidate should be hands-on with modern data platforms, SQL, and BI tools, and able to work independently with business and technology stakeholders.

Your future duties and responsibilities

Data Analysis & Insights

• Perform deep-dive analysis on finance datasets (revenue, expense, margin, accruals, rebate, allocations, close/reporting) to identify trends, patterns, anomalies, and drivers.
• Build and maintain KPI frameworks and metrics definitions (golden metrics) with consistent logic across reports.
• Conduct root-cause analysis and explain variances (MoM/QoQ), including reconciliation and tie-outs across sources.
• Produce executive-ready insights and storylines for dashboards and finance walkthroughs.
  
  

Data Mindset (Analyst + Architect)

• Understand data lineage across systems and define source-to-target mappings, data models, and transformation logic.
• Partner with data engineering to design curated datasets (semantic / consumption layer) optimized for BI and analytics.
• Drive data quality rules, controls, and monitoring: completeness, accuracy, timeliness, reconciliation checks, and exception reporting.
• Document business logic, definitions, and assumptions in a structured way (data dictionary, metric catalog).
  
  

Collaboration & Delivery

• Work directly with Finance stakeholders to gather requirements, clarify logic, and iterate quickly.
• Support release planning and adoption: UAT support, user training, and change management for dashboards.
  
  

Ensure governance and compliance alignment (access controls, auditability of logic, documentation).

Required Qualifications To Be Successful In This Role

• 10+ years in data analytics / BI / finance analytics roles (enterprise scale preferred).
• Expert in SQL (complex joins, window functions, performance tuning mindset).
• Strong understanding of data modeling concepts (dimensional modeling, facts/dimensions, star schema, semantic layer).
• Hands-on experience with Power BI or Tableau (dashboard design, measures, performance, usability).
• Strong experience working with data platforms / warehouses / lakehouse (Databricks, Snowflake, Redshift, Synapse, etc.).
• Proven ability to handle data quality + reconciliation + controls in finance reporting contexts.
• Strong communication: can explain complex data findings clearly to business leaders.
  
  

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Good-to-Have (Preferred)

• Exposure to Databricks / Spark / PySpark for large-scale analysis.
• Experience with ETL/ELT tools (ADF, Airflow, dbt, Informatica, etc.).
• Experience with data governance/metadata tools and practices (catalog, lineage, metric definitions).
• Familiarity with financial close/reporting processes and regulatory reporting concepts.
• Experience building reusable semantic models and certified datasets for enterprise BI.
  
  

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.