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Senior Data Analyst

Work from home Full-time role Hiring

We are looking for a Senior Data Analyst to join Mimecast's dynamic Data & Analytics team. This role focuses on driving actionable insights across our Go-to-Market (GTM) functions, analyzing key company initiatives, and ensuring data accuracy and integrity. You will partner closely with business stakeholders to gather requirements, collaborate with the data engineering team to design scalable data solutions, and lead efforts to deliver impactful analysis on critical company initiatives. We want someone who is proactive, curious, and excited about both business and data. The ideal candidate will thrive in an autonomous environment, take ownership of their work, and actively seek opportunities to improve processes and uncover insights that drive business growth. What You'll Do:

  • Analyze complex datasets to uncover trends, identify opportunities, and support GTM strategies (sales, marketing, and customer success).
  • Build and maintain data visualizations, dashboards, reports, and analytics tools to provide actionable insights for key stakeholders.
  • Track and analyze company-wide key metrics to monitor business performance and inform strategic decisions.
  • Partner with business stakeholders to gather requirements and lead efforts to deliver analysis on critical company initiatives.
  • Collaborate with the data engineering team to design and implement scalable data pipelines and ensure high-quality analytics processes.
  • Maintain data accuracy and integrity, ensuring all insights align with Mimecast’s business objectives.
  • Actively seek opportunities to improve processes, uncover new insights, and drive innovation through data.

What You'll Bring:

  • Bachelor’s degree in Business Analytics, Statistics, Economics, Mathematics, or a related field.
  • 5+ years of experience in data analysis, business intelligence, or analytics roles.
  • Proficiency in SQL.
  • Strong understanding of GTM processes and metrics, with a proven ability to support sales, marketing, or customer success teams.
  • Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights.
  • Demonstrated ability to work autonomously, take initiative, and proactively solve problems.
  • SaaS or cybersecurity industry experience.
  • Experience with data modeling and transformation tools such as dbt.
  • Familiarity with visualization tools (e.g., Tableau, Power BI) and cloud data platforms (e.g., Snowflake, Redshift).
  • Knowledge of A/B testing and predictive analytics techniques.
  • Experience with Python or similar programming languages.

The US base salary range for this position is $104,000 - $156,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for bonus, and other related benefits. Our salary ranges are determined by role, level and location. These factors and individual capabilities will also determine the individual pay offered. #LI-AD1 DEI Statement Cybersecurity is a community effort. That’s why we’re committed to building an inclusive, diverse community that celebrates and welcomes everyone – unless they’re a cybercriminal, of course. We’re proud to be an Equal Opportunity and Affirmative Action Employer, and we’d encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won’t affect your application. If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing [email protected]. Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law. Apply tot his job Apply To this Job

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