Business Systems Analyst

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

* Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Job Summary

We are seeking a dynamic and experienced - Business Systems Analyst for data analytics and data analysis for a global organization owning the design optimization and insight generation for key analytics products that support channel strategies and aggregate spend visibility. The selected candidate will collaborate with cross functional teams to translate complex data into clear decisions that improve business performance and societal outcomes through responsible use of data.

In this role, you will:

• Drive end to end ownership of analytics product features by gathering requirements from business stakeholders and translating them into clear data solutions that improve decision quality across the organization.
• Analyze large and complex data sets using advanced data analytics techniques to uncover trends patterns and anomalies that inform strategic channel optimization and resource allocation.
• Develop and maintain robust dashboards and reports that provide transparent visibility into key performance indicators enabling teams to monitor channel effectiveness and spend behavior in real time.
• Collaborate closely with marketing finance and operations teams to understand their analytical needs and design tailored data models that connect business questions to measurable outcomes.
• Optimize data pipelines and analytical workflows to ensure consistent data quality timeliness and reliability while reducing manual effort and operational risk.
• Document analytical approaches data definitions and product capabilities in a clear and structured manner so that business users can confidently interpret and apply insights in their daily decision making.
• Partner with product management and engineering teams to refine analytics product roadmaps ensuring that enhancements are prioritized based on business impact and user feedback.
• Conduct exploratory data analysis on channel performance and aggregate spend patterns to identify opportunities for efficiency savings revenue growth and fair allocation of resources.
• Present analytical findings to cross functional stakeholders in an accessible narrative form highlighting the implications for channel strategies budgeting and responsible business practices.
• Support testing and validation of new analytics features by defining success metrics creating test scenarios and evaluating performance against expected results.
• Ensure compliance with internal data governance policies by applying rigorous standards for data privacy security and ethical use throughout all analytics activities.
• Mentor less experienced analysts on best practices in data exploration visualization and product thinking helping to build a strong analytics culture within the team.
• Contribute actively to continuous improvement initiatives by proposing enhancements to tools processes and methodologies that make analytics products more scalable and impactful.

What you need to have to be considered

• Demonstrate advanced proficiency in data analytics and data analyst disciplines including data cleansing transformation…