Principal Data Analyst

Mimecast • Lexington, MA

46d • $128,000 - $192,000 • Hybrid

About The Position

Mimecast is a global leader in unified email management, offering cloud services for email security, continuity, and archiving. We are seeking a Principal Data Analyst to play a pivotal role in transforming complex data into strategic assets that inform business decisions and drive growth using a modern data stack that includes Tableau, Snowflake, GitHub, and dbt. This role will collaborate with cross-functional teams to design, develop, and deliver robust data models, insightful dashboards, and in-depth analyses that illustrate business performance and opportunities. A core responsibility of this role is the ability to distill complex, multi-dimensional datasets into clear, user-friendly visualizations that tell a compelling story.  Your visualizations will cut through data complexity to highlight what matters most, enabling faster, more confident decision-making across the organization. The ideal candidate combines deep technical expertise with strong business acumen, excels at translating technical concepts into business language, and thrives in collaborative, fast-paced environments where clarity and precision are paramount.

Requirements

• Proven experience designing, building, and optimizing interactive dashboards in Tableau (or similar BI tools)
• Excellent communication skills; able to work closely with stakeholders to gather requirements and present data-driven recommendations
• Highly proficient in SQL, with the ability to improve queries for optimal dashboard performance
• Strong analytical skills with the ability to interpret complex data sets and translate findings into actionable insights
• Utilizes predictive analytics to identify trends and provide counsel to departments
• High level of accuracy and attention to detail when working with data and developing analytical outputs
• Strong organizational and time management skills, with the ability to prioritize multiple tasks and projects
• Commitment to ongoing learning and staying updated with the latest BI trends
• Experience working with data transformation tools, including dbt, for building, testing, and maintaining data models
• Familiarity with cloud data warehouses (e.g. Snowflake, AWS)
• Experience with version control systems (e.g. Git) and development of best practices
• 5+ years experience in business intelligence or data analysis roles
• 5+ years writing efficient and optimized SQL queries with the ability to write complex, optimized queries for performance and scalability
• 5+ years of hands-on experience developing interactive dashboards using Tableau (or similar BI platforms like Power BI)
• Creating executive-level visualizations or operational visualizations
• 1+ years building and maintain data models in dbt
• Bachelor's degree in a quantitative field (e.g. Mathematics, Computer Science, Economics)
• Strong understanding of data modeling principles, dimensional modeling, and data warehouse concepts

Nice To Haves

• Programming skills in Python (desired) for advanced analytics, data manipulation, automation, and statistical analysis

Responsibilities

• Partner with business leaders and technical teams to gather requirements, translate business questions into analytical projects, and communicate findings through clear, concise visualizations and executive-ready presentations
• Translate technical data complexity into business clarity, creating visualizations that distill intricate information into straightforward, digestible formats that non-technical stakeholders can immediately understand and act upon
• Develop, construct, and support last-mile SQL transformations in dbt
• Proactively identify opportunities to improve data processes, streamline workflows, implement BI best practices, and enhance the overall impact and efficiency of the analytics function
• Collaborate with data engineering and analytics teams to ensure data accuracy, consistency, and reliability across all dashboards and reports
• Coach, mentor, and upskill junior team members by providing guidance, sharing best practices, and fostering continuous professional development within the analytics team
• Support the development of self-service analytics capabilities, empowering business users to explore data independently

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees