Top Analytics Jobs in Wichita, KS

The Forest Carbon Analyst will assess and assist in the development, execution, and monitoring of forest carbon projects. Responsibilities include preparing project documents, analyzing data, estimating carbon revenue, conducting research, and coordinating with stakeholders. The role involves a mix of office work and occasional field visits across North America.

The Cash Applications Analyst is responsible for processing customer payments via various methods, analyzing banking data, resolving payment discrepancies, and coordinating with customers and internal teams to facilitate efficient payment processes. Additional tasks may include research of unapplied payments and improvement of cash application procedures.

As the Head of Data, you will define and execute the data strategy for Apollo, collaborating with cross-functional teams to translate business needs into data insights. You will lead hands-on projects in advanced analytics, mentor team members, and guide the company’s data governance and decision-making processes.

As a Research and Insights Analyst, you will analyze large datasets, collaborate with teams to enhance tools, and contribute to thought leadership, focusing on delivering actionable insights to support business development and knowledge management initiatives.

As a Sales Engineer, you will engage with clients to design and implement cloud data solutions using platforms like Databricks and Snowflake, focusing on AI/ML integration and data engineering workflows. Your role includes presenting tailored solutions, conducting workshops, and providing ongoing customer support.

The Sales Data Analyst will analyze sales data, identify trends, and improve CRM data for better sales strategies. Responsibilities include developing complex Excel spreadsheets, utilizing SQL for data manipulation, and generating reports on sales performance indicators. Collaboration with cross-functional teams is essential for providing actionable insights.

The Revenue Operations Analyst will focus on improving revenue visibility and operational efficiency at Veda by utilizing data analysis and providing insights. The role includes managing data sets, setting reporting standards, collaborating with various teams, and implementing processes for data accuracy.