Senior Data Analyst

Job not on LinkedIn

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🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

📉 Data Analyst

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Metova, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

💼 Consulting

📣 Marketing

📦 Logistics

💰 Private Equity Round on 2018-04

Consulting • Marketing • Logistics

Metova is a digital consulting and delivery services firm that partners with enterprises and startups to provide end-to-end digital solutions. Their offerings include strategic planning, custom software development, UX/UI design, and quality assurance, all aimed at enhancing digital transformation and supporting the entire product lifecycle. By focusing on customer-centric and innovative solutions, Metova ensures that brands can effectively leverage technology to meet market demands and drive growth.

📋 Description

• Analyze, design, and support enterprise data solutions using Snowflake and advanced SQL. • Develop complex SQL queries, stored procedures, dynamic SQL, joins, and subqueries. • Design and optimize Snowflake solutions using Dynamic Tables, Materialized Views, and Role-Based Access Control (RBAC). • Perform data profiling, reconciliation, anomaly detection, and data quality analysis. • Support enterprise data architecture and data warehouse initiatives, including dimensional modeling and Star/Snowflake schemas. • Develop and maintain source-to-target mappings, data lineage, metadata, and integration patterns. • Prepare and standardize data assets for AI, machine learning, and advanced analytics use cases. • Analyze and validate healthcare data across claims, membership, provider, and health plan domains. • Develop test plans and execute source-to-target validation, reconciliation, and data quality testing. • Monitor data quality and contribute to scorecards, automated testing frameworks, defect tracking, and resolution. • Support data governance, metadata management, data cataloging, and MDM initiatives. • Gather and translate business requirements into effective data solutions. • Collaborate with technical teams, business stakeholders, and cross-functional partners to identify and resolve data issues. • Communicate analytical findings and data insights through data storytelling and clear business recommendations. • Ensure data solutions follow applicable security, governance, and healthcare data requirements, including HIPAA awareness.

🎯 Requirements

• 7+ years of experience working with databases. • 3+ years of hands-on Snowflake experience. • Expert-level SQL development skills, including complex queries, dynamic SQL, stored procedures, reconciliation, and data profiling. • Strong knowledge of Snowflake Dynamic Tables, Materialized Views, RBAC, data governance, and security. • Experience with enterprise data architecture and data warehouse design. • Strong knowledge of dimensional modeling, Star/Snowflake schemas, source-to-target mapping, data lineage, metadata management, and MDM concepts. • Experience preparing and standardizing data for AI and advanced analytics. • Strong experience working with healthcare data, including claims, membership, provider, and health plan domains. • Experience with data quality and testing, including completeness, accuracy, consistency, timeliness, validity, and uniqueness. • Experience developing test plans, reconciliation testing, source-to-target validation, automated testing, data quality monitoring, and scorecards. • Knowledge of data governance frameworks, data catalogs, metadata management, and HIPAA. • Strong business analysis and requirements-gathering skills. • Excellent stakeholder management, communication, problem-solving, and cross-functional collaboration skills. • Ability to translate complex data concepts into clear, actionable business insights. • Must be eligible to work and reside in the United States and be a U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee.