AI-Enabled Data Analyst — Remote (EST)

Cognizant; Lansing (MI); Remote; USD 115,000 - 135,000; Full time

Benefits offered by this job

Health benefits including Medical, etc

Paid Holidays & PTO

401(k) Plan with company contributions

Disability coverage

Paid parental leave

Employee stock purchase plan

Wellbeing programs and development

Training, Certification, and Growth

Job summary

Cognizant Technology Solutions Corporation is seeking an AI-Augmented Data Analyst to transform complex data into actionable insights for underwriting, claims, finance, and operations. You will work with data engineers and stakeholders to deliver AI-enhanced analytics while ensuring data quality and governance.

The role emphasizes building analytical datasets, dashboards, and reports, applying AI-assisted techniques, and presenting findings to both technical and non-technical audiences.

Qualifications

• 6+ years of experience in Data Analytics, BI, or related disciplines.
• Strong expertise in Snowflake SQL, query optimization, and analytical data modeling.
• Experience performing exploratory data analysis, trend analysis, statistical analysis, and business performance assessments.
• Hands-on experience developing analytical datasets, reports, dashboards, and BI solutions.
• Experience working with structured and semi-structured data in cloud analytics environments.
• Strong understanding of data quality, reconciliation, validation, and governance practices.
• Experience collaborating with business stakeholders to gather requirements and deliver data-driven recommendations.
• Excellent analytical, problem-solving, communication, and presentation skills.
• Ability to work independently in a distributed team environment while managing multiple priorities.

Responsibilities

• Develop and optimize analytical solutions using Snowflake SQL and modern data analysis tools to support enterprise reporting and decision-making.
• Perform exploratory data analysis on large structured and semi-structured datasets to identify trends, risks, opportunities, and performance drivers.
• Build and maintain analytical datasets, data marts, and reporting assets that support business intelligence and advanced analytics initiatives.
• Collaborate with business stakeholders to translate business questions into measurable analytical solutions and actionable recommendations.
• Apply AI-augmented analytics techniques to improve data exploration, pattern recognition, and insight generation while ensuring results are accurate, transparent, and business-relevant.
• Develop reports, dashboards, visualizations, and presentations that communicate complex findings to both technical and non-technical audiences.
• Implement data quality controls, validation routines, and reconciliation processes to maintain trusted analytical assets.
• Document business rules, data lineage, analytical methodologies, and reporting logic to support governance and knowledge sharing.
• Partner with data engineering teams to improve data availability, integration, performance, and analytic readiness.
• Support ad hoc analytical requests related to portfolio performance, operational effectiveness, customer behavior, and business strategy.
• Promote responsible, ethical, and compliant use of data and AI-assisted analytics technologies.

Skills

Data Analytics

Snowflake SQL

Exploratory Data Analysis

Analytical Datasets

Structured & Semi-Structured Data

Data Quality & Governance

Stakeholder Collaboration

Communication & Presentation

Independent Work in Distributed Teams

Problem Solving

Tools

Power BI

Tableau

Job description

Cognizant Technology Solutions Corporation is seeking an AI-Augmented Data Analyst to transform complex data into actionable insights for underwriting, claims, finance, and operations. You will work with data engineers and stakeholders to deliver AI-enhanced analytics while ensuring data quality and governance.

The role emphasizes building analytical datasets, dashboards, and reports, applying AI-assisted techniques, and presenting findings to both technical and non-technical audiences.