Role Description The Data Analyst supports Justice software implementation projects and may also assist teams across Neumo's other product lines as needed. This role is responsible for analyzing, converting, validating, and loading complex data sets to ensure accurate and reliable outcomes for new and existing customers. The ideal candidate is a critical thinker who thrives in data-intensive environments, collaborates effectively with cross-functional teams, and proactively identifies long‑term solutions to data issues. - Gather, clean, and validate data from multiple sources. - Perform detailed analysis using statistical methods to uncover trends, patterns, and root causes. - Modify, convert, and load data using SQL, Excel, and internal tooling. - Create clear dashboards and reports to communicate insights. - Troubleshoot data issues and assess downstream impacts to product workflows. - Write Jira tickets documenting defects or required development work to permanently resolve data problems. - Collaborate with implementation, support, and account management teams to resolve customer data issues. - Contribute to continuous improvement of data processes and data integrity. - Communicate with customers clearly and be customer facing as needed. - Perform other duties as assigned. Qualifications - Strong proficiency in SQL and ability to understand relational table structures. - Advanced Excel skills, including macros. - Experience with data validation, cleansing, and maintaining data integrity. - Customer‑facing experience and ability to navigate challenging situations. Requirements - Excellent attention to detail and clear written/verbal communication. - Self‑motivated, able to work autonomously—especially in remote environments. - Nice to have: Java, T‑SQL, MySQL, PowerShell or similar scripting, knowledge of court/case management systems. Work Environment - Office setting with a moderate noise level. - The employee will work at an individual workstation, using a telephone and computer. Physical Demands - Must be able to remain seated for extended periods. - Regular use of a computer and other office machinery, such as printers and copy machines. - Occasional movement around the office. - Frequent communication via telephone. Company Description With the backing of four decades of public sector expertise and corporate capability, Neumo has successfully supported government services. Neumo was honored and recognized for four (4) consecutive years as a GovTech 100 Company representing the top 100 companies focused on making a difference in and selling to state and local government agencies across the United States. Neumo is committed to helping communities thrive and brings a wealth of experience combined with innovation. Today, Neumo offers more administrative and financial support to government officials than any other organization. And with a responsive, client-focused approach, we foster partnerships that give our customers the certainty they need to accomplish more. Neumo offers a competitive benefits and compensation package and are looking for team members who will thrive in our dynamic environment. Neumo is an Equal Opportunity Employer. Selection for a position will be made without regard to race, religion, national origin, sex, political affiliation, marital status, non-disqualifying physical handicap, and age.

The Data Analyst plays a central role in supporting data-driven decision making across Koin’s multi-brand e-commerce business. The position focuses on producing reliable KPI reporting while analysing data across key commercial functions including live commerce, marketing, product performance, and purchasing. This role is responsible for delivering daily, weekly, and monthly KPI reporting while identifying trends, opportunities, and performance insights across the business. The successful candidate will work closely with stakeholders across marketing, e commerce, finance, and operations to ensure data is understood, trusted, and used effectively. A key part of the role is the ability to translate complex data and technical analysis into clear, actionable insights for non-technical stakeholders, helping teams across the business make better informed decisions. In addition to reporting and analysis, the role will also contribute to improving data governance, developing KPI frameworks, and identifying opportunities for reporting automation and improved data processes. This is an individual contributor role with ownership over key elements of the business’s reporting and data management processes. Full training will be provided on Koin’s internal systems and tools, and the role is well suited to someone who is curious, analytical, and motivated to continually ask “why” when analysing data. Key Responsibilities KPI Reporting & Performance Analysis • Produce accurate daily, weekly, and monthly KPI reports across multiple business functions • Analyse performance data across live commerce, marketing, product performance, purchasing, and commercial operations • Monitor subscriber retention rates and customer lifecycle metrics • Identify trends, anomalies, and opportunities within large data sets • Provide clear, structured insights that support commercial decision-making Business Data Analysis • Analyse data from multiple operational systems to support performance optimisation • Work with stakeholders across marketing, e-commerce, product, and purchasing teams to understand reporting requirements • Translate business questions into structured data analysis and actionable insights Systems & Data Integration • Work with data from key platforms including NetSuite, Shopify, and live selling platforms • Support the development of improved data pipelines and reporting workflows • Assist in integrating and structuring data across systems where required • Data Governance & KPI Frameworks • Contribute to the development and maintenance of KPI frameworks across the business • Help define clear data definitions and reporting standards to ensure consistency • Support improvements to data governance processes and reporting structures Automation & Reporting Improvements • Identify opportunities to improve reporting efficiency through automation • Support the implementation of new reporting tools where appropriate (e.g. Looker or other BI platforms) • Use automation and AI tools to improve data analysis, reporting workflows, and operational efficiency

The Data Analyst plays a central role in supporting data-driven decision making across Koin’s multi-brand e-commerce business. The position focuses on producing reliable KPI reporting while analysing data across key commercial functions including live commerce, marketing, product performance, and purchasing. This role is responsible for delivering daily, weekly, and monthly KPI reporting while identifying trends, opportunities, and performance insights across the business. The successful candidate will work closely with stakeholders across marketing, e commerce, finance, and operations to ensure data is understood, trusted, and used effectively. A key part of the role is the ability to translate complex data and technical analysis into clear, actionable insights for non-technical stakeholders, helping teams across the business make better informed decisions. In addition to reporting and analysis, the role will also contribute to improving data governance, developing KPI frameworks, and identifying opportunities for reporting automation and improved data processes. This is an individual contributor role with ownership over key elements of the business’s reporting and data management processes. Full training will be provided on Koin’s internal systems and tools, and the role is well suited to someone who is curious, analytical, and motivated to continually ask “why” when analysing data. Key Responsibilities KPI Reporting & Performance Analysis • Produce accurate daily, weekly, and monthly KPI reports across multiple business functions • Analyse performance data across live commerce, marketing, product performance, purchasing, and commercial operations • Monitor subscriber retention rates and customer lifecycle metrics • Identify trends, anomalies, and opportunities within large data sets • Provide clear, structured insights that support commercial decision-making Business Data Analysis • Analyse data from multiple operational systems to support performance optimisation • Work with stakeholders across marketing, e-commerce, product, and purchasing teams to understand reporting requirements • Translate business questions into structured data analysis and actionable insights Systems & Data Integration • Work with data from key platforms including NetSuite, Shopify, and live selling platforms • Support the development of improved data pipelines and reporting workflows • Assist in integrating and structuring data across systems where required • Data Governance & KPI Frameworks • Contribute to the development and maintenance of KPI frameworks across the business • Help define clear data definitions and reporting standards to ensure consistency • Support improvements to data governance processes and reporting structures Automation & Reporting Improvements • Identify opportunities to improve reporting efficiency through automation • Support the implementation of new reporting tools where appropriate (e.g. Looker or other BI platforms) • Use automation and AI tools to improve data analysis, reporting workflows, and operational efficiency

The Data Analyst plays a central role in supporting data-driven decision making across Koin’s multi-brand e-commerce business. The position focuses on producing reliable KPI reporting while analysing data across key commercial functions including live commerce, marketing, product performance, and purchasing. This role is responsible for delivering daily, weekly, and monthly KPI reporting while identifying trends, opportunities, and performance insights across the business. The successful candidate will work closely with stakeholders across marketing, e commerce, finance, and operations to ensure data is understood, trusted, and used effectively. A key part of the role is the ability to translate complex data and technical analysis into clear, actionable insights for non-technical stakeholders, helping teams across the business make better informed decisions. In addition to reporting and analysis, the role will also contribute to improving data governance, developing KPI frameworks, and identifying opportunities for reporting automation and improved data processes. This is an individual contributor role with ownership over key elements of the business’s reporting and data management processes. Full training will be provided on Koin’s internal systems and tools, and the role is well suited to someone who is curious, analytical, and motivated to continually ask “why” when analysing data. Key Responsibilities KPI Reporting & Performance Analysis • Produce accurate daily, weekly, and monthly KPI reports across multiple business functions • Analyse performance data across live commerce, marketing, product performance, purchasing, and commercial operations • Monitor subscriber retention rates and customer lifecycle metrics • Identify trends, anomalies, and opportunities within large data sets • Provide clear, structured insights that support commercial decision-making Business Data Analysis • Analyse data from multiple operational systems to support performance optimisation • Work with stakeholders across marketing, e-commerce, product, and purchasing teams to understand reporting requirements • Translate business questions into structured data analysis and actionable insights Systems & Data Integration • Work with data from key platforms including NetSuite, Shopify, and live selling platforms • Support the development of improved data pipelines and reporting workflows • Assist in integrating and structuring data across systems where required • Data Governance & KPI Frameworks • Contribute to the development and maintenance of KPI frameworks across the business • Help define clear data definitions and reporting standards to ensure consistency • Support improvements to data governance processes and reporting structures Automation & Reporting Improvements • Identify opportunities to improve reporting efficiency through automation • Support the implementation of new reporting tools where appropriate (e.g. Looker or other BI platforms) • Use automation and AI tools to improve data analysis, reporting workflows, and operational efficiency