Senior Analytics Manager

Mimecast•Lexington, MA

5d•Hybrid

About The Position

The Senior Analytics Manager will lead Mimecast’s analytics team and turn complex data into insights that inform business decisions and drive growth. This business-focused role owns the analytics roadmap, sets priorities, and ensures analysis supports decisions across the organization. It combines business acumen and people leadership with technical credibility across Tableau, Snowflake, GitHub, and dbt. The manager establishes standards for data models and dashboards, translates technical concepts into business language, and influences senior stakeholders. The role is hybrid and based in Lexington, Massachusetts. The base salary range is $144,000–$216,000, with possible eligibility for incentive plans and additional benefits in accordance with company policy and local regulations. Final compensation may vary based on qualifications, experience, skills, role level, and location.

Requirements

Demonstrated experience leading a business intelligence or analytics function and managing, mentoring, and developing analysts.
Strong business acumen and experience owning an analytics roadmap and independently prioritizing competing requests according to business value and team capacity.
Experience in a SaaS or similar subscription-based technology company, with working knowledge of ARR, churn, and retention.
Expert SQL skills, including writing complex queries and optimizing them for performance and scalability.
Experience designing, building, and governing executive-level and operational dashboards in Tableau, Power BI, or a similar platform.
Ability to build, test, and maintain dbt models, with a strong understanding of data modeling, dimensional modeling, and data warehouse concepts.
Experience with Git-based version control and establishing team development standards.
Clear communication and stakeholder management skills, including explaining technical concepts to senior, non-technical audiences and influencing their decisions.
Strong prioritization, organization, and attention to detail, with a commitment to staying current with BI and analytics trends.
Practical experience using AI tools to improve analytics productivity, with sound judgment in validating outputs and using AI responsibly.
Bachelor’s degree in a quantitative field, such as Mathematics, Computer Science, or Economics.

Nice To Haves

Python skills for advanced analytics, automation, and statistical analysis.

Responsibilities

Define and own the analytics roadmap, align it with business strategy, and prioritize work by business impact while balancing stakeholder demand with team capacity.
Lead, coach, and develop analysts by setting objectives, providing regular feedback, and planning for team growth and hiring.
Partner with business leaders and technical teams to translate business questions into analytical projects, and communicate findings through clear visualizations and executive-ready presentations.
Define and govern company-wide metrics, working with data engineering to maintain a trusted single source of truth and a consistent semantic layer.
Set standards for dbt modeling, SQL quality, testing, code review, and GitHub version control; participate in design reviews and complex builds.
Drive self-service analytics through documentation and training that help business users explore data independently.
Embed AI assistants and agents in SQL and dbt development, code review, documentation, and data quality checks; automate routine reporting and ad hoc requests.
Use AI to accelerate insight and storytelling, including summarizing trends, drafting executive narratives, and enabling natural-language data exploration, while validating outputs for accuracy.
Evaluate and introduce AI-enabled analytics capabilities, establish responsible-use guidelines for data privacy, governance, and quality, and help the team use AI effectively.