Lead Data Analyst

Job summary

Drive enterprise data transformation and migration by performing detailed data profiling and creating Source-to-Target Mapping (STM) documents. Collaborate with stakeholders and engineers to translate business requirements into scalable data solutions and ensure data quality across platforms.

Job details

Senior Data Analyst – Data Mapping & Data Analysis About The Role As a Senior Data Analyst – Data Mapping & Data Analysis, you will make an impact by driving enterprise data transformation, migration, and modernization initiatives through detailed data analysis, profiling, mapping, and quality assessment. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, solution architects, data engineers, product owners, and governance teams to deliver trusted, high-quality data solutions that support strategic business objectives. In this role, you will leverage your expertise in data discovery, source-to-target mappings, SQL development, and data quality analysis to transform business requirements into scalable data solutions and actionable insights. In This Role, You Will Perform detailed data analysis, profiling, and discovery across multiple source systems to assess data quality, integrity, and business readiness. Develop and maintain Source-to-Target Mapping (STM) documents for data migration, integration, transformation, and reporting initiatives. Translate business requirements into detailed data transformation rules, mapping specifications, and technical requirements. Collaborate with business stakeholders, architects, and engineering teams to define data solutions, identify gaps, and support successful project delivery. Conduct data validation, reconciliation, impact analysis, and quality assessments to ensure accurate and consistent data across enterprise platforms. Work Model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Occasional travel may be required for client meetings, workshops, or project-related activities. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What You Need to Have to Be Considered Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. 10+ years of experience in Data Analysis, Data Mapping, Data Warehousing, Data Management, or related disciplines. Extensive experience creating and maintaining Source-to-Target Mapping (STM) documentation. Strong hands-on expertise with SQL for data extraction, profiling, validation, reconciliation, and analysis. Experience with Snowflake, Databricks, Python, and Erwin. Strong understanding of data profiling, data lineage, metadata management, and data quality analysis. Experience working with relational databases, dimensional modeling, and enterprise data warehousing concepts. Experience supporting large-scale enterprise data transformation, migration, or modernization programs. Ability to translate business requirements into detailed technical specifications and mapping artifacts. Strong analytical, communication, documentation, and stakeholder management skills. These Will Help You Stand Out Experience working in Insurance, Financial Services, Healthcare, or other regulated industries. Knowledge of AWS, Azure, or Google Cloud Platform (GCP). Experience with ETL/ELT tools and modern data integration frameworks. Experience using reporting and visualization tools such as Power BI or Tableau. Understanding of data governance, metadata management, and data stewardship frameworks. Experience performing impact analysis for schema changes, business rule modifications, and data model updates. Knowledge of enterprise data architecture and modernization best practices. Experience creating data dictionaries, metadata repositories, and business glossaries. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary And Other Compensation The annual salary for this position is anticipated to be between $105,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits Cognizant offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including: Medical, dental, vision, and life insurance 401(k) plan and company contributions Employee Stock Purchase Plan (ESPP) Employee Assistance Program (EAP) Paid holidays and paid time off (PTO) Paid parental leave and fertility assistance programs Learning and development programs, certifications, and career advancement opportunities Wellness and mental health resources Career growth and internal mobility opportunities Benefits may vary by location and employment status and are subject to change. Application Deadline Applications will be accepted until October 2, 2026. Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.

What you’ll do

Drive enterprise data transformation and migration by performing detailed data profiling and creating Source-to-Target Mapping (STM) documents. Collaborate with stakeholders and engineers to translate business requirements into scalable data solutions and ensure data quality across platforms.

Requirements

Requires a Bachelor's or Master's degree in a technical field and over 10 years of experience in data analysis and warehousing. Must possess strong hands-on expertise in SQL, Snowflake, Databricks, and the ability to create detailed technical mapping artifacts.

Benefits

• Medical insurance • Dental insurance • Vision insurance • Life insurance • 401(k) plan and company contributions • Employee Stock Purchase Plan (ESPP) • Employee Assistance Program (EAP) • Paid holidays • Paid time off (PTO) • Paid parental leave • Fertility assistance programs • Learning and development programs • Certifications • Career advancement opportunities • Wellness and mental health resources • Internal mobility opportunities

Listed skills

• Technical Documentation · Preferred
• SQL · Preferred
• Data analysis · Preferred
• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data Analysis
• Data Mapping
• Source-to-Target Mapping (STM)
• SQL
• Snowflake
• Databricks
• Python
• Erwin
• Data Profiling
• Data Lineage
• Metadata Management
• Dimensional Modeling
• Data Warehousing
• Stakeholder Management
• Data Quality Analysis
• Technical Documentation

Job areas

• Data & Analytics
• Technology
• Consulting
• Engineering
• Software