Senior Associate - BI Analytics & Reporting

Accountabilities

Develop and maintain BI dashboards: Design, build, and enhance interactive dashboards, management reports, executive views, and role-specific visualizations using Microsoft Power BI to support business performance monitoring and informed decision-making.
Build and maintain data models: Develop and optimize data models, datasets, and data feeds that support reliable reporting, efficient analysis, and consistent business intelligence outputs.
Translate business requirements: Collaborate with stakeholders to understand reporting needs, clarify business questions, define key metrics, and convert functional requirements into technical specifications and effective analytical solutions.
Perform data analysis: Investigate business data to identify trends, performance drivers, anomalies, and opportunities for improvement, translating findings into clear, actionable recommendations.
Develop SQL-based solutions: Write and optimize SQL queries, views, stored procedures, and reusable data assets to support analytical use cases, reporting requirements, and data transformation processes.
Ensure data quality and reliability: Validate data accuracy, completeness, consistency, and accessibility across reporting systems, implementing appropriate checks and controls to maintain confidence in business insights.
Document reporting standards: Maintain clear documentation covering report logic, KPI definitions, data sources, assumptions, refresh schedules, and other technical details to ensure transparency and maintainability.
Optimize reporting processes: Identify opportunities to automate repetitive tasks, simplify workflows, improve reporting efficiency, and strengthen the scalability of business intelligence solutions.
Leverage AI-enabled tools: Apply AI-assisted analytics and productivity tools to support BI development, SQL generation, documentation, data analysis, and workflow automation while maintaining appropriate quality controls.
Support Power BI administration and governance: Contribute to report publishing, workspace management, security configuration, row-level security (RLS), licensing, and governance practices to ensure effective and secure reporting operations.
Collaborate across the project lifecycle: Participate in requirements analysis, solution design, data modeling, development, testing, implementation, maintenance, and end-user communication.
Follow BI development best practices: Stay informed about evolving Power BI capabilities, industry standards, and emerging technologies, sharing knowledge and recommending improvements to existing practices.
Maintain data security and compliance: Follow applicable data privacy, information security, and governance policies when developing, accessing, and distributing reports and analytical assets.
Manage priorities and delivery: Organize workloads, balance competing business requirements, adapt to changing project timelines, and deliver accurate, high-quality solutions within agreed deadlines.
Requirements
Education: A bachelor's degree in Computer Science, Information Systems, or a related discipline is required. A master's degree or MBA is preferred.
Relevant experience: At least 4 years of professional experience in business intelligence, analytics, and reporting, particularly in dashboard development, data visualization, and reporting solutions.
Microsoft Power BI expertise: Strong hands-on experience with Power BI, including complex DAX calculations, Power Query, tabular data modeling, data visualization, composite models, row-level security, Power BI Service, licensing, and administration.
SQL development: Proficiency in SQL for business intelligence and analytics, including writing queries, developing views and stored procedures, and creating reusable data assets.
Data modeling and architecture: Strong understanding of relational databases, analytical processing, data modeling principles, data warehousing, and ETL frameworks.
End-to-end BI delivery: Experience across the complete solution lifecycle, including requirements gathering, analysis, design, development, testing, implementation, maintenance, support, and communication with end users.
Cloud and data integration technologies: Familiarity with Microsoft Fabric, Azure SQL, Azure Data Factory, AWS, or similar cloud data platforms and integration technologies is an advantage.
AI-assisted analytics: Experience using tools such as Microsoft Copilot, ChatGPT, Codex, or internal AI agents to improve BI development, SQL writing, documentation, analytical workflows, and productivity is beneficial.
Additional technical skills: Knowledge of Microsoft Excel, SharePoint Online, Power Automate, Power Apps, Power BI governance, REST APIs, PowerShell, DAX Studio, Tabular Editor, Python, or R is an advantage.
Industry knowledge: Experience in banking, financial services, or other data-intensive business environments is preferred.
Agile delivery: Familiarity with Agile methodologies, iterative development, and collaborative project delivery is beneficial.
International collaboration: Ability to work effectively across different geographical regions, cultures, and business functions.
Communication and stakeholder management: Strong written and verbal communication skills, with the ability to explain technical concepts clearly, gather requirements, present findings, and collaborate with stakeholders at different levels.
Analytical and problem-solving skills: A structured, detail-oriented approach to investigating data issues, interpreting complex information, and developing practical solutions.
Adaptability and organization: Ability to manage multiple assignments, respond to changing requirements, prioritize effectively, and maintain high standards of accuracy and quality.
Professional certifications: Microsoft Power BI or SQL certifications are an advantage.
Benefits
Remote working opportunity: Work remotely from India, offering flexibility in your working environment.
Full-time employment: A full-time position with opportunities to contribute to business-critical analytics and reporting initiatives.
Competitive compensation: Compensation aligned with relevant skills, professional experience, qualifications, and market benchmarks. Specific salary figures were not provided in the job description.
Health and insurance benefits: Access to insurance, health, and wellness benefits, subject to the applicable employment package.
Career development: Opportunities to strengthen expertise in business intelligence, advanced analytics, data modeling, cloud platforms, and AI-enabled productivity tools.
Learning and innovation: Exposure to emerging technologies and evolving ways of working across data analytics and enterprise reporting.
International collaboration: Opportunities to work with diverse teams and stakeholders across geographical, cultural, and business environments.
Professional growth: Potential to expand responsibilities and develop your career within a global technology-driven organization.
Inclusive work environment: A workplace that values diverse perspectives, collaboration, professional contribution, and equal employment opportunities.