Job Description

The Sr Analyst - Business Operations Insights will play a critical role in developing end-to-end reporting solutions, from data collection and transformation to report generation and visualization. This role involves working on the cutting edge of data engineering and analytics, leveraging machine learning, predictive modeling, and generative AI to drive business insights. The analyst will enable informed decision-making through real-time, optimized analytics and reporting capabilities, supporting the organization's data-driven initiatives, with a strong focus on business performance insights.

Join us if you are result-oriented, strategic, collaborative, customer-focused, detailed, persistent, and a self-starter. In addition, you should thrive in ambiguous environments, love multitasking, and have a deep passion for BI & analytics. You bring appropriate Business Intelligence (BI) skillsets along with understanding of Business Functions fundaments to define, drive and deliver the KPIs which matter to the business. The role encompasses independently creating self-serve, compelling & impactful dashboards aligned to the Business Functions Org priorities.

Roles and Responsibilities

• Build advanced data models and curated data layer using SQL, Python, PySpark and other tools.
• Develop and maintain BI semantic data models for large-scale data warehouses/ Lakehouse with expertise in notebook development.
• Design and create visualizations, develop, execute, and maintain regular dashboards/reports using PowerBI & Gen-UI.
• Design analytical frameworks to solve business problems, utilizing predictive models and machine learning techniques.
• Explore, clean, and visualize data sets to prepare for analysis, ensuring data quality and consistency.
• Develop customized visuals and layouts that prioritize key KPIs, providing clear and concise insights that align with business objectives.
• Implement UX best practices to improve navigation, data storytelling, and the overall usability of dashboards, ensuring that reports are actionable and user-friendly.
• Present data-driven insights and recommendations through effective storytelling using dashboards, reports, and presentations.
• Be the subject matter expert and demonstrate leadership on standardized reporting, experimentation, and analyses to support performance discussions.
• Document data processes, data architecture modelling/flow charts, and best practices for future reference and knowledge sharing.
• Engage with stakeholders, business function leads, and project teams to understand data requirements and business needs.

Desired Characteristics & Technical Expertise

• 7+ years of relevant experience with strong understanding in data modelling & analytics, reporting, and BI development.
• Expertise in SQL/Python for data transformation, with experience in big data technologies preferred.
• Hands-on experience with AI led implementation use cases in Business Intelligence.
• Very strong proficiency in data visualization tools (PowerBI and Gen-UI) along with advanced Excel skills.
• Experience mapping data flows from source systems to final reporting repositories (Data Warehouses, Data Lakes, etc.).
• Knowledge of descriptive, diagnostic, predictive, and prescriptive analytics approaches.
• Hands-on experience with predictive modeling & machine learning algorithms.
• Skilled in data architecture design, implementation best practices, and continuous optimization.
• Collaborate with stakeholders to gather requirements and iterate on designs, optimizing visual elements based on user feedback to drive better decision-making.
• Develop advanced visualization techniques to highlight trends, patterns, and outliers, making complex data easily understandable for various audiences.
• Ensure that visuals adhere to data governance standards, incorporating appropriate drill-down capabilities and interactivity for in-depth analysis.
• Regularly review and update reports to reflect evolving business needs and continuously enhance the reporting experience.
• Demonstrated ability to organize, prioritize, and deliver tasks with high attention to detail, especially in dynamic environments.
• Self-driven and open to exploring alternate technologies and methods for problem-solving.
• Strong communication skills, capable of translating technical insights into business language.

Business Acumen:
• Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.
• Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer.
• Learns organization vision statement and decision-making framework. Able to understand how team and personal goals/objectives contribute to the organization vision

Leadership Attributes:
• Voices opinions and presents clear rationale. Uses data or factual evidence to influence.
• Learns organization vision statement and decision-making framework. Able to understand how team and personal goals/objectives contribute to the organization vision.
• Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables.
• Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Additional Information