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Mercury

Customer Support Lead – Systems & Analytics

Mercury

Customer Support Systems & Analytics Lead at Mercury, managing data strategy and reporting across the organization. Collaborate with CS leadership and cross-functional teams to generate actionable insights.

Posted 7/7/2026full-timeRemote • California, New York, Oregon • 🇺🇸 United StatesSenior💰 $154,200 - $192,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis and reporting, with a strong focus on Zendesk administration, SQL fluency, and the ability to translate complex data into actionable insights for customer support operations. Proven ability to collaborate cross-functionally and maintain data hygiene standards to ensure high-quality reporting outcomes.

Highest-signal resume keywords
Zendesk AdministrationSQL FluencyData AnalysisDashboard DevelopmentData Hygiene Principles

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
Data AnalysisSQLZendesk ConfigurationReportingDashboard DevelopmentData GovernanceData Quality AssuranceAI Data OversightBusiness Intelligence ToolsData Documentation
Soft Skills
Analytical ThinkingExcellent CommunicationCollaborative Mindset
Tools & Technologies
ZendeskOmniMetabaseZendesk Analytics
Industry Keywords
Customer SupportOperationsData HygienePerformance MetricsCross-Functional Collaboration

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Unified reporting and analytics: Actively build and maintain reports and dashboards that give the CS organisation clear visibility into key performance metrics, trends, and performance across channels, teams and projects
  • CS Systems configuration and data governance: Work closely with systems admins to advise on the structural setup of our Zendesk instance across customer-facing teams, ensuring it is configured to generate clean, consistent, and reliable data while maintaining secure systems and efficient workflows.
  • Data hygiene standards: Define and enforce standards for how data is captured across CS systems so that reporting is accurate, trustworthy, and reproducible
  • AI automation data oversight: Monitor and analyse data from our AI chatbot, ensuring it is tracked in a way that supports quality reviews and decision-making across the CS organisation
  • Insights to action: Translate raw data and reporting into clear recommendations that help CS leadership make decisions on resourcing, tooling, process improvements, and strategy
  • Stakeholder support: Partner with cross-functional partners in areas like Product, Data and Strategic Finance to understand their data needs and deliver reporting that supports their goals
  • Systems evaluation: Assess the data capabilities of existing and new CS tools, and make recommendations on how to optimise our systems stack for better reporting outcomes
  • Process documentation: Document data structures, reporting methodologies, and system configurations to ensure institutional knowledge is retained and accessible across the team

Requirements

What you’ll need
  • 5-8 years of experience in a data analyst, business intelligence, or systems analyst role, ideally within a customer support or operations environment
  • Hands-on experience with Zendesk administration and configuration, including views, fields, triggers, and reporting, as well as using Zendesk Analytics to build reports and dashboards
  • Fluency in SQL and experience working with data and BI tools such as Omni, Metabase, or similar
  • Strong analytical thinking with the ability to turn complex datasets into clear, actionable insights
  • Experience building and maintaining dashboards and reports for non-technical stakeholders
  • Deep understanding of data hygiene principles and how system configuration impacts data quality
  • Excellent communication skills, with the ability to present data findings clearly to stakeholders at all levels
  • Collaborative mindset with experience working cross-functionally across teams such as Operations, Product, and Engineering

Benefits

Comp & perks
  • base salary
  • equity (stock options/RSUs)