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Senior Data Analyst, Customer Experience at Darktrace

Senior Data Analyst, Customer Experience

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Darktrace

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Posted on: 
July 6, 2026
Status: 
Expired
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Summary of the Senior Data Analyst, Customer Experience job at Darktrace

Darktrace is hiring a Senior Data Analyst, Customer Experience with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working. The expected salary range for this role is $100,000 - $120,000
About Darktrace

Darktrace is a global leader in AI cybersecurity, providing the essential cybersecurity platform to secure organizations today and for an ever-changing future. Darktrace AI learns from each business's unique data in real time, detecting threats and intervening against attacks with precision and speed. We are a diverse and inclusive team of over 2,400 employees, each playing a crucial role in protecting nearly 10,000 organizations and communities worldwide from known, unknown, and novel cyber-threats.

Senior Data Analyst, Customer Experience job description

Job Description:

The CX Operations team is seeking a Senior Customer Experience Operations Analyst to build and own a series of CX Metrics dashboards that provide leading indicators and performance results across all Chief Customer Officer (CCO) functions: Professional Services, Customer Success, Analyst Services, and Support. In this role, you will become the go-to expert on CX data and data sources, working hands-on to investigate, clean up, and consolidate information that today is spread across multiple commercial and proprietary systems. The ideal candidate is curious, organized, and comfortable working in environments where data is messy and poorly documented. They are motivated by turning scattered information into something business stakeholders can actually use.

Please note that while this role is remote, candidates must be based in the Eastern Time Zone.

Key Duties & Responsibilities:

Develop a phased CX Metrics dashboard strategy. Start by delivering initial core metrics for each CCO function (Professional Services, Customer Success, Analyst Services, Support) and then build out a more robust dashboard and insights framework over time

Investigate and map CX data across multiple systems (including Salesforce, Gong, and proprietary applications) to identify which fields and field combinations are needed to produce each desired metric

Partner with IT, Application, and Data Warehouse teams to get access to source data, while owning the CX-layer logic for how that data is structured, transformed, and used for operational reporting

Perform hands-on data transformation and cleansing as an interim solution for immediate business needs and migrate to the data warehouse solution as that source evolves to meet the business needs

Design and build automated dashboard feeds that pull data from multiple systems into a single view of CX leading indicators and performance metrics

Become the CX organization's go-to person on data lineage, data quality, and source-system quirks. Proactively identify and resolve data integrity issues that affect metric accuracy

Work through ambiguous data situations by talking to people across departments, piecing together undocumented logic, and documenting the resulting data definitions and calculation methods

Share insights and recommendations from the dashboards with CX leaders and functional teams. This role is not just about building reports; we need you to surface trends, flag anomalies, and identify opportunities for improvement

Build and maintain a CX metrics catalog that documents the standard metrics for each CCO function, what they measure, where the data comes from, and how often it refreshes

Work with Revenue Operations, Data & Analytics, and Business Systems teams as a consumer and partner (not a substitute), making sure CX-specific reporting and insights needs are met without duplicating what those teams already provide

Leverage AI tools to accelerate data exploration, automate repetitive transformation tasks, and generate initial drafts of analyses or documentation

Senior Data Analyst, Customer Experience job requirements

Qualifications & Experience:

3+ years of experience in analytics, business intelligence, or data-focused roles within Customer Experience, Customer Success, or SaaS operations environments

Experience building dashboards and automated reporting using tools such as Tableau and Power BI with live data connections

Hands-on proficiency with data transformation and preparation. Comfortable writing SQL queries and simple ETL logic to manage data as an interim solution for immediate business needs while the data warehouse team implements the long term strategy

Strong working knowledge of Salesforce data architecture, reporting and dashboards and experience extracting, joining, and interpreting data from CRM and adjacent systems (e.g., Gong, Gainsight, proprietary platforms)

Familiarity with standard CX metrics (Customer Success, Professional Services, Renewals, Support) and an understanding of how each metric drives outcomes

Proven ability to work in situations where nobody has a clear answer. You should be comfortable interviewing stakeholders, reverse-engineering undocumented processes, and pulling together incomplete information into reliable metric definitions

Comfortable using AI and large language model tools (e.g., Copilot, Claude) to speed up data analysis, write or debug code, and draft documentation.

Strong communication skills. You will need to present findings to senior leaders and explain complex data concepts in plain business terms

Highly organized and self-directed. You will be managing a phased roadmap of deliverables across multiple functional stakeholders at the same time

Collaborative mindset with experience partnering across IT, Data Engineering, and business teams, while maintaining clear ownership boundaries appropriate to an operations role

What we offer at Darktrace

Benefits:

100% medical, dental and vision insurance, plus dependents

Paid parental leave

Pet insurance Discount

Life insurance

Commuter benefits

401(k)

Employee Assistance Program

Apply now

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Darktrace

Darktrace

is hiring

Senior Data Analyst, Customer Experience

Website:
Posted on: 
July 6, 2026

About Our Company

Darktrace is a global leader in AI cybersecurity, providing the essential cybersecurity platform to secure organizations today and for an ever-changing future. Darktrace AI learns from each business's unique data in real time, detecting threats and intervening against attacks with precision and speed. We are a diverse and inclusive team of over 2,400 employees, each playing a crucial role in protecting nearly 10,000 organizations and communities worldwide from known, unknown, and novel cyber-threats.

Job Description & Responsibilities

Job Description:

The CX Operations team is seeking a Senior Customer Experience Operations Analyst to build and own a series of CX Metrics dashboards that provide leading indicators and performance results across all Chief Customer Officer (CCO) functions: Professional Services, Customer Success, Analyst Services, and Support. In this role, you will become the go-to expert on CX data and data sources, working hands-on to investigate, clean up, and consolidate information that today is spread across multiple commercial and proprietary systems. The ideal candidate is curious, organized, and comfortable working in environments where data is messy and poorly documented. They are motivated by turning scattered information into something business stakeholders can actually use.

Please note that while this role is remote, candidates must be based in the Eastern Time Zone.

Key Duties & Responsibilities:

Develop a phased CX Metrics dashboard strategy. Start by delivering initial core metrics for each CCO function (Professional Services, Customer Success, Analyst Services, Support) and then build out a more robust dashboard and insights framework over time

Investigate and map CX data across multiple systems (including Salesforce, Gong, and proprietary applications) to identify which fields and field combinations are needed to produce each desired metric

Partner with IT, Application, and Data Warehouse teams to get access to source data, while owning the CX-layer logic for how that data is structured, transformed, and used for operational reporting

Perform hands-on data transformation and cleansing as an interim solution for immediate business needs and migrate to the data warehouse solution as that source evolves to meet the business needs

Design and build automated dashboard feeds that pull data from multiple systems into a single view of CX leading indicators and performance metrics

Become the CX organization's go-to person on data lineage, data quality, and source-system quirks. Proactively identify and resolve data integrity issues that affect metric accuracy

Work through ambiguous data situations by talking to people across departments, piecing together undocumented logic, and documenting the resulting data definitions and calculation methods

Share insights and recommendations from the dashboards with CX leaders and functional teams. This role is not just about building reports; we need you to surface trends, flag anomalies, and identify opportunities for improvement

Build and maintain a CX metrics catalog that documents the standard metrics for each CCO function, what they measure, where the data comes from, and how often it refreshes

Work with Revenue Operations, Data & Analytics, and Business Systems teams as a consumer and partner (not a substitute), making sure CX-specific reporting and insights needs are met without duplicating what those teams already provide

Leverage AI tools to accelerate data exploration, automate repetitive transformation tasks, and generate initial drafts of analyses or documentation

Requirements

Qualifications & Experience:

3+ years of experience in analytics, business intelligence, or data-focused roles within Customer Experience, Customer Success, or SaaS operations environments

Experience building dashboards and automated reporting using tools such as Tableau and Power BI with live data connections

Hands-on proficiency with data transformation and preparation. Comfortable writing SQL queries and simple ETL logic to manage data as an interim solution for immediate business needs while the data warehouse team implements the long term strategy

Strong working knowledge of Salesforce data architecture, reporting and dashboards and experience extracting, joining, and interpreting data from CRM and adjacent systems (e.g., Gong, Gainsight, proprietary platforms)

Familiarity with standard CX metrics (Customer Success, Professional Services, Renewals, Support) and an understanding of how each metric drives outcomes

Proven ability to work in situations where nobody has a clear answer. You should be comfortable interviewing stakeholders, reverse-engineering undocumented processes, and pulling together incomplete information into reliable metric definitions

Comfortable using AI and large language model tools (e.g., Copilot, Claude) to speed up data analysis, write or debug code, and draft documentation.

Strong communication skills. You will need to present findings to senior leaders and explain complex data concepts in plain business terms

Highly organized and self-directed. You will be managing a phased roadmap of deliverables across multiple functional stakeholders at the same time

Collaborative mindset with experience partnering across IT, Data Engineering, and business teams, while maintaining clear ownership boundaries appropriate to an operations role

What we offer

Benefits:

100% medical, dental and vision insurance, plus dependents

Paid parental leave

Pet insurance Discount

Life insurance

Commuter benefits

401(k)

Employee Assistance Program

Apply now
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