Remote opportunity at
DISHERCustomer Analytics Specialist
DISHER seeks a Customer Analytics Specialist for a remote, full-time position. The hiring organization is currently transitioning from a traditional logistics provider into a technology-enabled services…
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About This Role
DISHER seeks a Customer Analytics Specialist for a remote, full-time position. The hiring organization is currently transitioning from a traditional logistics provider into a technology-enabled services company, utilizing technology, data, and artificial intelligence to enhance operational efficiency, differentiate its offerings, and deliver greater customer value. In this role, the individual will create and manage customer analytics designed to directly influence Net Revenue Retention and support customer success objectives. Key responsibilities…
Job Description
DISHER seeks a Customer Analytics Specialist for a remote, full-time position. The hiring organization is currently transitioning from a traditional logistics provider into a technology-enabled services company, utilizing technology, data, and artificial intelligence to enhance operational efficiency, differentiate its offerings, and deliver greater customer value.
In this role, the individual will create and manage customer analytics designed to directly influence Net Revenue Retention and support customer success objectives. Key responsibilities include translating complex data sets into automated intelligence and practical insights, enabling executives, account managers, and customer success teams to make rapid and informed choices regarding customer value, retention, and account expansion.
This position requires close collaboration with customer-facing personnel to validate the impact of the analytics and refine tools for maximum usability. Success in the role is measured by specific outcomes, such as a weekly decrease in at-risk accounts, a reduction in manual data extraction time, and timely report delivery.
The ideal candidate brings extensive background in business intelligence or data analysis, familiarity with CRM and ERP data sources, and strong communication skills. The employer utilizes artificial intelligence tools during segments of the recruitment procedure, though all final employment determinations remain strictly human-driven.
Responsibilities
- Develop and maintain a customer health score incorporating fill rate satisfaction, response time, dispute rate, and order frequency
- Generate weekly at-risk account reports categorized by color code alongside specific score change drivers
- Design a churn propensity model to flag potential account churn thirty to sixty days in advance
- Automate renewal dashboards featuring win probability estimates
- Produce monthly insight views and reports to spot expansion opportunities
- Conduct market share analysis to track wallet share movement
- Monitor service behavior and activities by account to uncover service level agreement upgrade possibilities
- Create quarterly customer value reports for account managers and customer success managers to utilize during quarterly business reviews
- Build executive-level presentations for quarterly and monthly business reviews
- Maintain connections linking internal databases, customer relationship management software, and business intelligence platforms
- Construct and update dashboards that refresh automatically on a weekly basis
- Establish automated alerts for account and customer success managers when health scores pass specific thresholds
- Document data definitions and standardize reporting procedures
- Collaborate with operations and information technology teams to address data quality issues at the source
- Spearhead artificial intelligence adoption for analytics and partner with information technology to productionize analytic models
- Implement artificial intelligence prompts and query interfaces for self-service use by account and customer success managers
- Validate artificial intelligence-generated insights to maintain accurate data quality for customer-facing groups
Requirements
- Minimum of eight years of professional experience as a Data Analyst, Business Intelligence Analyst, or Analytics Specialist
- Demonstrated history of building dashboards that communicate stories and prompt action
- Familiarity with service supply chain and spare parts logistics metrics
- Proficiency in Power BI or Tableau
- Experience connecting to enterprise resource planning or warehouse management system data sources
- Working knowledge of Python or similar tools for analysis such as pandas and basic statistics
- Familiarity with customer relationship management data structures like HubSpot, Salesforce, or Pipedrive
- Ability to translate business questions into specific data requirements
- Possession of the current and continuing right to work in the United States without restrictions or expirations
Qualifications
- Power BI preferred
- Experience in logistics, supply chain, distribution, or e-commerce fulfillment
- Spare parts experience strongly preferred
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote status of this role?
The posting specifies that the role is remote.
What employment type is this position?
This is a full-time position.
What is the salary for this position?
The salary is not stated in the job posting.
What are the primary experience requirements?
Candidates must have eight or more years of experience as a Business Intelligence Analyst, Data Analyst, or Analytics Specialist, with a strong preference for Power BI and background in logistics, supply chain, distribution, or e-commerce fulfillment.
Does the hiring process involve artificial intelligence?
The company may use artificial intelligence tools to support parts of the hiring process such as reviewing applications or analyzing resumes, but final hiring decisions are ultimately made by humans.
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