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Cohere Beauty

Commercial Data Specialist

Cohere Beauty, Omaha, Nebraska, us, 68197

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Get AI-powered advice on this job and more exclusive features. Cohere Beauty is a diverse team of strategic collaborators, product innovators, R&D formulators, and manufacturing professionals. Built on beauty and rooted in quality, our promise is to collaborate, co-innovate, co-develop, and co-manufacture. Promoting diversity and sustainability through our facilities and supply chains, Cohere Beautys approach to social, safety, and environmental responsibility is grounded in a commitment to our employees, customers, and the communities where we live and work. At Cohere Beauty, were here for whats next. Job Summary The Commercial Data Specialist is an entry-level role responsible for supporting Cohere Beautys commercial operations by collecting, organizing, and analyzing data to drive informed decision-making. This role plays a critical part in tracking team KPIs, managing sales and project pipelines, maintaining schedules, and producing reporting that supports leadership visibility and performance improvement. This is what you will do: Data & KPI Management Maintain accurate records of commercial KPIs. Including sales activity, project timelines, and customer satisfaction metrics. Track progress toward team goals and prepare regular KPI summaries for leadership review. Audit data for accuracy and completeness, making corrections as needed. Monday.com administrator Monitor and update the sales and project pipeline in CRM and project management tools. Ensure all opportunities and active projects have accurate status, timing, and owner assignments. Flag potential risks to timelines, capacity, or revenue targets for follow-up. Scheduling and Coordination: Support scheduling of key commercial meetings, including pipeline reviews, business updates, and cross-functional status calls. Maintain key milestone calendars for customer projects to ensure timely follow-up and delivery. Assist with preparing meeting agendas and distributing summaries/action items. Analysis & Reporting: Gather and compile data from multiple systems (CRM, ERP, project management tools) into consolidated reports. Perform basic analysis to identify trends, gaps, or opportunities for process improvement. Create visual dashboards and charts to present data in an accessible and actionable format. Support ad hoc reporting requests from leadership and cross-functional teams. Process Support: Assist in developing standard reporting templates and automated processes to streamline data capture and analysis. Support the continuous improvement of data quality, reporting speed and information accuracy. Other Duties: Perform additional duties as assigned to support the overall success of the organization. This is what you will need: Associates or Bachelors degree in business, data analytics, supply chain, or related field preferred; equivalent experience considered. 0 2 years of experience in data entry, reporting, or analysis (internships and project work accepted). Experience with Monday.com Experience in a commercial, sales operations, or customer service environment is a plus Strong attention to detail with a high level of accuracy in data and analysis. Ability to organize and manage large amounts of information from multiple sources. Proficiency in Microsoft Excel (pivot tables, charts, basic formulas) and PowerPoint; CRM and ERP experience preferred. Strong communication skills, with the ability to summarize complex data into clear insights. Ability to manage multiple tasks and deadlines in a fast-paced environment. Proactive problem-solving and willingness to learn new systems and tools. Commitment to maintaining regular and predictable attendance. Ability to work onsite. We enthusiastically welcome your application, as we recognize the invaluable perspective, experience, and potential you possess. Apply with us today! Together, we win! Seniority level

Seniority level

Entry level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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