Data Analyst

🔥 2 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

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OneMagnify

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1967

📣 Marketing

🛍️ eCommerce

🤖 Artificial Intelligence

Marketing • eCommerce • Artificial Intelligence

OneMagnify is a company focused on creating optimal customer experiences through digital transformation. They specialize in a variety of services including customer research, brand experience, UI/UX design, website development, eCommerce, and programmatic media powered by AI. By leveraging data-driven strategies and technology, OneMagnify enhances customer engagement and develops personalized experiences at scale for their clients.

📋 Description

• Leverage data, analytics, and technology solutions to help clients achieve business objectives and advance Data & Analytics initiatives • Conduct discovery sessions and end-to-end data analysis to understand business needs, identify opportunities, and recommend solutions • Gather, analyze, and translate business requirements into scalable data products, reports, dashboards, and analytical solutions • Evaluate, document, and support data architectures, including ERDs, dimensional and analytical data models, ETL/ELT processes, data pipelines, business rules, transformation logic, data governance, lineage, metadata frameworks, and reporting requirements • Use SQL and analytical tools to explore, profile, and analyze large datasets • Develop and support data quality initiatives, including profiling, validation, monitoring, and remediation • Investigate, troubleshoot, and resolve data-related issues with clients and internal teams • Support adoption of modern data platforms, analytics capabilities, and AI-driven solutions through training, documentation, and best practices • Collaborate with data owners, data stewards, business stakeholders, engineers, and solution architects to implement and enhance data products and governance processes • Contribute to continuous improvement initiatives that increase data reliability, accessibility, usability, and business value • Drive client adoption of data capabilities through scalable applications, self-service analytics, and data-driven business processes • Stay current on emerging technologies and analytics trends and bring new ideas and best practices to client engagements

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field (preferred qualification) • Strong SQL skills for querying, manipulating, and analyzing large datasets • Experience with data modeling, data warehousing, ETL/ELT development, and data integration • Knowledge of data governance, metadata management, data lineage, and data quality frameworks • Experience gathering business requirements and translating them into technical solutions • Familiarity with cloud-based data platforms and modern analytics ecosystems, including Azure, AWS, Databricks, Snowflake, or similar • Experience with reporting and visualization tools such as Power BI, Tableau, or similar platforms • Strong analytical, problem-solving, and communication skills • Ability to manage multiple priorities and deliver results in a fast-paced, client-focused environment

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • 401(k) retirement plan • Paid holidays • Flexible Time Off (FTO) • Wellness programs • Financial security programs • Professional growth programs