Customer Data Solutions Lead

Eshipping, Llc

Parkville (MO)

On-site

USD 90,000 - 130,000

Full time

8 days ago
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Job summary

eShipping LLC is seeking a Customer Data Solutions Lead to own customer accounts and a portfolio of improvement initiatives. You will analyze customer data using SQL and DAX, translate findings into engineering-ready requirements, and configure reporting solutions to support decision-making.

The role emphasizes AI-enabled quality, collaboration with data engineers, and ongoing monitoring of outcomes. The position combines customer consulting, business analysis, and hands-on data work to drive

Qualifications

  • Bachelor’s degree in a technical field or related discipline.
  • Experience applying customer consulting, business analysis, and data analysis to create value.
  • Experience using SQL and/or DAX to investigate data and support requirements.
  • Experience developing reports or dashboards in Power BI or BI tools.

Responsibilities

  • Own assigned customer accounts and drive adoption of solutions.
  • Lead a portfolio of improvement initiatives delivering measurable value.
  • Analyze customer data with SQL and DAX to document needs and root causes.
  • Translate needs into engineering-ready requirements for data teams.
  • Monitor solutions and adjust initiatives to improve outcomes.
  • Configure reporting solutions supporting decision-making and monitoring.
  • Validate data and reporting before release; ensure quality.
  • Leverage AI to improve output quality and efficiency.

Skills

Customer consulting
Stakeholder management
Data analysis
Written communication
Project management
AI utilization

Education

Bachelor’s degree in a technical field

Tools

SQL
DAX
Power BI
Git

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Customer Data Solutions Lead

Full-Time Employees 15 Parkville, MO, US

2 days ago Requisition ID: 1783

Position Summary

The Customer Data Solutions Lead owns the day-to-day success of assigned customer accounts and a portfolio of continuous improvement initiatives that create measurable customer value. The role understands customer operations, goals, pain points, and opportunities; prioritizes work; and serves as the primary connection between customer needs and Synapsum data products.

This position combines customer consulting, business analysis, and hands-on data analysis. The Customer Data Solutions Lead independently analyzes customer data, uses SQL and DAX to investigate and document business needs and data problems, and translates findings into engineering-ready requirements. The role also configures reporting solutions, validates data products before release, and monitors the outcomes of active initiatives. The successful candidate uses AI to improve the quality, consistency, and output of their work

Essential Duties and Responsibilities

Duties include but are not limited to the following:

  • Own assigned customer accounts by understanding customer operations, goals, pain points, opportunities, and priorities, and support successful customer adoption of our solutions.
  • Own a portfolio of continuous improvement initiatives that create measurable customer value through financial, operational, and/or customer experience improvements.
  • Analyze customer data independently using SQL and DAX to understand and document business needs, data problems, and the root causes of those problems.
  • Translate customer needs into engineering-ready requirements and act as a primary conduit between customers and data engineering.
  • Monitor delivered solutions and implemented changes to ensure customers achieve intended outcomes and adjust initiatives as needed to improve results.
  • Configure and maintain reporting solutions that support customer decision-making and performance monitoring.
  • Validate and quality assure reporting, data, and engineering solutions before release.
  • Use AI where appropriate to improve the quality of work, efficiency, and consistency.

Required Skills and Abilities

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

  • Customer consulting and business analysis, especially the ability to interpret qualitative and quantitative information and translate it into measurable improvement initiatives that create business value. Logistics experience is a plus.
  • Stakeholder management, especially the ability to build productive relationships, define priorities, manage expectations, and align customer needs with internal capabilities.
  • Data analysis, including the ability to navigate data model documentation, query data sources, and identify root causes using representative examples and edge cases.
  • SQL and/or DAX proficiency sufficient to perform data analysis and interpret existing documentation. A thorough understanding of the following SQL concepts, or equivalent DAX functionality, is required: WHERE, GROUP BY, HAVING, LEFT OUTER JOIN, INNER JOIN, and UNION.
  • Written and verbal communication, including the ability to produce concise, specific documentation that can be acted upon by a data analyst or engineer without additional discovery.
  • Project management, including the ability to manage multiple initiatives, coordinate activities and dependencies, track timelines, and proactively communicate when work requires reprioritization.
  • Report and dashboard development best practices, especially the ability to connect reporting design decisions to specific customer needs. Power BI experience is a plus.
  • Git and version control awareness. Prior experience is a plus; however, the candidate will be expected to use Git regularly and must be willing and able to learn established Git workflows.
  • AI utilization and prompting, including demonstrated experience using AI tools to simplify work, improve productivity, and enhance output quality.

Minimum Education and Experience

  • Bachelor’s degree in a technical field. Degrees in data analysis, data science, computer science, engineering, mathematics, or related disciplines are preferred.
  • Demonstrated experience applying customer consulting, business analysis, and data analysis skills to create customer value.
  • Experience using SQL and/or DAX to investigate data, validate findings, and support business or engineering requirements.
  • Experience developing reports or dashboards in Power BI or another business intelligence platform.

Physical Demands and Work Environment

  • Physical Demands: While performing the duties of this job, the employee is regularly required to remain in a stationary position for at least 50% of the time. The employee needs to occasionally move about inside the office to access file cabinets, office machinery, etc. The general level of physical activity would be defined as sedentary. The employee is regularly required to operate a computer and other office productivity machinery, such as a calculator, telephone, copy machine, and printer. Some movements of the hands, arms, and wrists may involve repetitive motions. Specific vision abilities required by this job include the ability to detect, determine, perceive, identify, recognize, judge, observe, inspect, estimate, and assess various activities and surroundings.
  • Cognitive/Mental Requirements: While performing the duties of this job, the employee is regularly required to comprehend and use basic language, either written or spoken, to communicate simple and complex information, ideas, and information. The employee is also required to use logic to define problems, collect information, establish facts, draw valid conclusions, interpret information, and deal with abstract variables for unique or unfamiliar situations. The employee must use problem-solving skills to formulate and apply appropriate courses of action for routine or familiar situations. The employee may be required to perform numerical operations including basic counting, adding, subtracting, multiplying, and dividing or more complex quantitative calculations.
  • Work Environment: While performing the duties of this job, the employee is inside a central heat and air-conditioned office building. The noise level in the work environment is minimal.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of an employee. Duties, responsibilities, and activities may change at any time with or without notice.

eShipping LLC is an equal opportunity employer.

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