Top Data & Analytics Jobs in Charlotte, NC
As a Lead Researcher at Bjak, you will conduct in-depth research on blockchain technology and cryptocurrency trends, producing high-quality reports that influence strategic decisions and product development. Collaborating with cross-functional teams, you will ensure offerings align with industry developments and represent the company in the blockchain community.
As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
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The Senior Data Analyst at Dutchie will implement measurement strategies for digital products, collaborate with product and ad-tech experts, create insightful reports and dashboards using SQL, and ensure data quality and availability. The analyst will leverage analytics to improve products and drive action within the company.
The Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-intensive applications and analytics solutions. They lead data engineering projects and collaborate with cross-functional teams to enhance data initiatives.
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.
As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.
As a Senior Data Analyst in Sales Operations, you will enhance sales analytics by utilizing SQL, Tableau, Metabase, and Snowflake to analyze and report on sales performance, forecast data, and operational metrics. You will create dashboards and perform customer segmentation analysis while identifying opportunities for data-driven improvements and automating workflows. Collaboration with senior leadership and team members is essential for success.
As a PBM Operations Analyst, you'll manage eligibility and accumulator operations, ensuring seamless integration and functionality within the claims platform. Responsibilities include configuring benefits, conducting tests, troubleshooting issues, and maintaining documentation in collaboration with various internal stakeholders.
The Senior Revenue Operations Analyst will lead analytics projects that inform decision-making across Go-To-Market functions. Responsibilities include coordinating cross-department initiatives, improving analytics processes, ensuring data integrity, and conducting analyses to support revenue operations.
Top Companies in Charlotte, NC Hiring Data + Analytics Roles
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