Senior Data Analyst - Business Intelligence

8 hours, 9 minutes ago
Full-time
Senior
Data Science and Analytics
Magna Legal Services

Magna Legal Services

Magna Legal Services provides comprehensive litigation support and consulting services to law firms, corporations, and governmental agencies across the nation, specializing in discovery services and jury consulting to enhance legal outcomes.

Specialized Consumer Services
251-1K
Founded 2007

Description

  • Partner with business stakeholders to identify analytics needs and translate requirements into data solutions.
  • Design, develop, maintain, and enhance dashboards and reports in Sigma.
  • Use SQL to query, transform, validate, and analyze data from multiple sources, including Snowflake.
  • Analyze complex datasets to identify trends, performance drivers, opportunities, and risks.
  • Establish reporting, data governance, metric definition, documentation, and data integrity standards.
  • Improve and scale BI assets and reporting processes through simplification, standardization, and automation.
  • Collaborate with data and technology teams on data modeling, warehouse development, and Snowflake improvements.
  • Evaluate analytics tools and processes and recommend improvements to BI effectiveness and efficiency.

Requirements

  • 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 SQL proficiency, including experience querying and analyzing large datasets.
  • Experience developing sophisticated dashboards and reports with Sigma or a comparable modern BI platform.
  • Experience with cloud data warehouses; Snowflake experience is strongly preferred.
  • Strong analytical and problem-solving skills with the ability to translate business questions into actionable insights.
  • Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
  • Experience gathering requirements, managing competing priorities, and independently driving analytics initiatives from concept through delivery.
  • Preferred experience with data modeling, ETL/ELT processes, data governance, and visualization best practices.
  • Collaborative, proactive, and comfortable working in a fast-paced environment with significant ownership.

Interested in this position?

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