Data Analyst

One Magnify is an AI-native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by designing smarter customer experiences and delivering integrated solutions across digital, media, analytics, and technology. By combining deep industry expertise with advanced analytics, data engineering, and artificial intelligence, we empower our clients to make better decisions, accelerate innovation, and compete more effectively in rapidly evolving markets.

The impact you’ll have:
You are a passionate data professional with a strong technical foundation, exceptional analytical skills, and a relentless curiosity for solving complex business challenges. You enjoy transforming data into actionable insights, scalable solutions, and meaningful business outcomes. You thrive in collaborative environments, excel at connecting business needs with technical solutions, and are motivated by helping organizations unlock the full value of their data.

• Resourceful & Results-Oriented – Proactively seeks information, navigates ambiguity, and drives initiatives to successful completion.
• Collaborative Team Player – Builds trusted relationships, works effectively across cross-functional teams, and prioritizes collective success.
• Analytical Problem Solver – Applies structured thinking to investigate issues, identify root causes, and develop practical, scalable solutions.
• Effective Communicator – Clearly communicates complex technical concepts to both technical and non-technical stakeholders while fostering alignment and understanding.
• Customer-Focused – Understands client objectives and delivers solutions that drive measurable business value.

• Leverage data, analytics, and technology solutions to help clients achieve their business objectives and advance strategic Data & Analytics initiatives.
• Conduct discovery sessions and perform end-to-end data analysis to understand business needs, identify opportunities, and recommend solutions that improve data quality, governance, and analytical capabilities.
• Gather, analyze, and translate business requirements into scalable data products, reports, dashboards, and analytical solutions.
• Evaluate, document, and support the development of data architectures, including:
  Entity Relationship Diagrams (ERDs) Dimensional and analytical data models ETL/ELT processes and data pipelines Business rules and transformation logic Data governance, lineage, and metadata frameworks Reporting and visualization requirements.
• Use SQL and other analytical tools to explore, profile, and analyze large datasets, identifying trends, anomalies, and opportunities for improvement.
• Develop and support data quality initiatives, including profiling, validation, monitoring, and remediation processes.
• Partner with clients and internal teams to investigate, troubleshoot, and resolve data-related issues.
• Support the adoption and enablement 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, analytics trends and bring new ideas and best practices to client engagements.

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
• Strong SQL skills with experience 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.
• F…