Senior Software Engineer-Data Analyst (ETL, SQL, Python)

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: Senior Data Analyst (ETL, SQL, Python) Position: Senior Data Analyst (ETL, SQL, Python) Experience: 4 to 7 Years Category: Software Development/ Engineering Shift: General (5 Days work from Office) Main location: India, Hyderabad Position ID:J0626-1250 Employment Type: Full Time Education: BE / B. Tech / MCA / BCA Your future duties and responsibilities We are seeking a detail-oriented and curious Data Analyst to join our team. The ideal candidate possesses a unique blend of technical expertise and business acumen. You will be responsible for querying and manipulating large datasets, analyzing information to identify trends, and communicating your findings to stakeholders across the organization. You will use your strong SQL and Python skills to access, clean, and analyze data, and your understanding of ETL processes will be crucial for ensuring data integrity and understanding data lineage. Data Analysis & Insights Write advanced SQL and Python scripts to query, manipulate, and analyze complex datasets to identify actionable insights, trends, and anomalies. Reporting & Visualization Develop, maintain, and enhance dashboards and reports using BI tools (e.g., Power BI, Tableau) to provide clear and compelling visualizations of key business metrics. Data Validation & Quality Leverage your understanding of ETL processes to validate data as it moves through pipelines, troubleshoot data quality issues, and work with data engineering teams to ensure accuracy. Business Inquiry Partner with business stakeholders to understand their questions and challenges, and translate those needs into data-driven analysis and reports. Process Improvement Identify opportunities to automate analytical processes and reporting, making data more accessible to the organization. Documentation Clearly document your analysis, methodologies, and data sources to ensure transparency and repeatability.

Required Qualifications To Be Successful In This Role

• Experience: 4+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar role.
• SQL Expertise: Expert-level proficiency in SQL, including window functions, complex joins, and performance tuning. You should be able to write queries to answer complex business questions from scratch.
• Python for Analysis: Strong practical experience using Python for data analysis, particularly with libraries like Pandas, NumPy, and Matplotlib/Seaborn.
• ETL Understanding: Solid conceptual understanding of ETL (Extract, Transform, Load) processes and data warehousing principles. You know how to trace data lineage and identify potential data quality pitfalls.
• BI & Visualization: Hands-on experience creating dashboards and reports with at least one major BI tool (e.g., Power BI, Tableau, Qlik).
• Analytical Mindset: Exceptional analytical, critical thinking, and problem-solving skills with a high degree of accuracy. Good to Have Skills
• ETL Tool Exposure: Familiarity with viewing or debugging ETL jobs in tools like SSIS, Informatica, or Azure Data Factory.
• Statistical Knowledge: Basic understanding of statistical analysis and modeling.
• Cloud Environment: Experience working with data in a cloud environment (e.g., Azure Synapse, AWS Redshift, Google BigQuery).
• Version Control: Familiarity with using Git for managing scripts.
• Domain Knowledge: Previous experience in a specific business domain such as Finance, Marketing, or Operations is a strong plus. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Together, as owners, let’s turn meaningful insights into action. 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. That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals. Come join our team—one of the largest IT and business consulting services firms in the world.