GCP Data Engineer
Mindlance
Job Description
Title: Data Management Analyst
\nLocation: Charlotte, NC OR Minneapolis, MN
\n(Hybrid, 3 Days Onsite in office, 2 days remote)
\nDuration: 12+ months, possibility to extend or convert
\nNote: Only W2 (No C2C , OPT)
\n \nSummary:
\nWe are seeking a Business & Data Analyst Consultant to support enterprise data and analytics initiatives on Google Cloud Platform (GCP). This role will work closely with business stakeholders, product managers, data consumers, and technology teams to define requirements, analyze data, improve data quality, and support data-driven decision making. This role is focused on business analysis and data analysis and does not involve application development, data engineering, cloud administration, or database administration responsibilities.
\nKey Responsibilities
\n• Gather, document, and manage business and data requirements.
\n• Analyze data to identify trends, insights, and quality issues.
\n• Perform data profiling, validation, and reconciliation activities.
\n• Translate business needs into actionable data and reporting requirements.
\n• Support User Acceptance Testing (UAT) and business sign-off activities.
\n• Partner with data, product, governance, and business teams to resolve data issues.
\nRequired Qualifications
\n• Strong SQL and data analysis skills.
\n• Experience working with large-scale data warehouses and analytics platforms.
\n• Experience with GCP data environments, including BigQuery.
\n• Strong requirements gathering and documentation skills.
\n• Experience with data quality, validation, and reporting.
\n• Excellent communication and stakeholder management skills.
\nPreferred Qualifications
\n• Experience supporting enterprise data products and analytics platforms.
\n• Knowledge of data governance and data lineage concepts.
\n• Experience with Agile methodologies and Jira.
\n• Experience in Banking, Financial Services, Risk, or Compliance domains.
\n \nKey Skills
\n• Business Analysis
\n• Data Analysis
\n• SQL
\n• BigQuery
\n• Data Quality & Validation
\n• Requirements Management
\n• UAT Coordination
\n• Data Governance
\n• Stakeholder Management
\n \nFocus Areas: Business Analysis, Data Analysis, Data Quality, Reporting, Governance, and Stakeholder Engagement in a GCP Data Environment.
\n \nEEO:
\n \n“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans. ”
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