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Magna Legal Services

Senior Data Analyst, Business Intelligence

Magna Legal Services

. Partner with stakeholders across business functions and service lines to understand objectives, identify reporting and analytics needs, translate requirements into effective data solutions, and help turn insights into action.

Posted 10/6/2026full-timeRemote • United StatesSenior💰 $100,000 - $115,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in SQL and experienced in developing dashboards and reporting solutions using Sigma, with a strong focus on data governance and analytics best practices. Capable of translating complex data into actionable insights while collaborating effectively with stakeholders across various business functions.

Highest-signal resume keywords
SQL ProficiencyDashboard Development in SigmaData Analysis and ReportingExperience with SnowflakeData Governance and Best Practices

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData AnalysisDashboard DevelopmentData ModelingETL/ELT ProcessesData GovernanceData VisualizationAnalytics Tools EvaluationReporting StandardsData Integrity
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCollaborationProactive Attitude
Tools & Technologies
SigmaSnowflakeBusiness Intelligence Tools
Industry Keywords
Business IntelligenceData AnalyticsReportingData SolutionsData Insights

Tech Stack

Tools & technologies
CloudETLSQL

About the role

Key responsibilities & impact
  • Partner with stakeholders across business functions and service lines to understand objectives, identify reporting and analytics needs, translate requirements into effective data solutions, and help turn insights into action.
  • Design, develop, maintain, and enhance dashboards and reports in Sigma, delivering clear and actionable insights to leaders and teams across the organization.
  • Use SQL to query, transform, validate, and analyze data from multiple sources, including Snowflake.
  • Analyze large and complex datasets to identify trends, performance drivers, opportunities, and potential areas of concern.
  • Establish and promote best practices for reporting, data governance, metric definitions, documentation, and data integrity.
  • Improve and scale BI assets and reporting processes across the organization through simplification, standardization, and automation.
  • Partner with data and technology teams on data modeling, warehouse development, and improvements to the Snowflake environment.
  • Evaluate analytics tools, processes, and capabilities and recommend improvements that increase the effectiveness and efficiency of the BI function.
  • Help advance and evolve analytics capabilities across the organization.
  • Own the development and ongoing improvement of dashboards and reporting in Sigma, establish reporting standards, improve data quality, and strengthen the underlying analytics infrastructure.

Requirements

What you’ll need
  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field.
  • 5+ years of experience in business intelligence, data analytics, reporting, or a related role.
  • Strong proficiency with SQL, including experience querying and analyzing large datasets.
  • Experience developing sophisticated dashboards and reporting solutions using Sigma or a comparable modern BI platform.
  • Experience working with cloud data warehouses; Snowflake strongly preferred.
  • Strong analytical and problem-solving skills, with the ability to translate business questions into meaningful analysis and actionable insights.
  • Excellent written and verbal communication skills, including the ability to explain technical concepts and data findings to non-technical audiences.
  • Demonstrated ability to gather requirements, manage competing priorities, and independently drive analytics initiatives from concept through delivery.
  • Experience with data modeling, ETL/ELT processes, data governance, and visualization best practices is preferred.
  • Collaborative, proactive, and comfortable working in a fast-paced environment with a high degree of ownership.