Top Data & Analytics Jobs
The role involves leading secondary data analytics projects in the pharmaceutical sector to provide insights on healthcare professionals, patients, and market dynamics. The consultant will communicate with stakeholders to address business questions and translate analytics into actionable insights.
Collect and analyze complex datasets, turn data into actionable insights, use statistical techniques to find trends, improve efficiency, develop processes and tools to monitor data, deliver scalable insights, collaborate with teams, stay up-to-date on technologies, and build new skills in data engineering.
Responsible for developing data pipelines, transforming data into valuable assets, and collaborating with Data Scientists and Analysts to solve complex challenges in the retail industry.
The Tech Refresh Data Analyst will perform overall data analysis, providing insights and recommendations for improving Tech Refresh operations, data management, and process automation. Responsibilities also include analyzing complex data sets, identifying trends, and preparing reports for management and stakeholders, while collaborating with engineers, programmers, and management.
The role involves driving the data science and analytics initiatives by partnering with go-to-market leaders to define KPIs, analyze customer behavior, and build a data-driven culture in a rapidly growing AI organization.
The Software Manager will develop data engineering and science strategies, mentor team members, design and develop data pipelines, and communicate with stakeholders regarding data needs. The role involves leading projects and ensuring compliance with GDAS standards while maintaining communication with product teams and customers.
The Data Scientist will enhance organizational performance by applying innovative analytic methods, identifying business problems, conceptualizing models, sourcing data, and developing analytics solutions. They will also assist in building data science capabilities within business functions and demonstrate strong team building and creative thinking skills.
As a Senior Analytics Engineer, you will build and maintain data models, facilitate data management, and translate business needs into analytical solutions. Collaborating with cross-functional teams, you'll enhance data literacy and drive insights through well-documented datasets and visualizations.
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The Sales Representative will engage potential clients, manage existing relationships, and sell CoStar and LoopNet products. Responsibilities include understanding client needs, handling the full sales cycle, conducting product demos, and networking at industry events.
The Data & Analytics Manager will lead efforts to integrate data analytics across the organization to drive data-driven decision making. Responsibilities include defining key performance metrics, designing data models using SQL and dbt, analyzing datasets with SQL and Python, and creating dashboards and visualizations to provide actionable insights.
The Investment Data & Analytics Intern will support portfolio analytics and provide analytical solutions for Portfolio Management and other stakeholders, focusing on quality control and project tracking using platforms such as BlackRock Aladdin and Power BI.
Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.
The Data Scientist will collect, analyze, and interpret data to drive insights for business decisions in the gaming industry. Responsibilities include developing automated processes for analysis, collaborating on end-to-end solutions, and researching machine learning approaches.
As a Data Lead at Lumos, you will enhance data-driven decision-making by developing data infrastructure, creating actionable dashboards, and collaborating with product teams to define key performance indicators. You'll enable customer success teams with data insights and manage operational reporting to drive performance.
The Senior Payments Growth Analyst at LastPass will analyze payment processes using data analytics and machine learning to optimize customer experiences, reduce churn, and drive growth strategies. The role involves collaboration with multiple teams to enhance payment solutions and improve metrics related to customer acquisition and retention.
As a Senior Data Engineer at Smartsheet, you will analyze and mine large datasets to develop insights that drive decisions, specifically partnering with Finance. You will complete the analytics lifecycle, automate reporting, and effectively communicate complex findings to both technical and non-technical stakeholders, enhancing financial data analysis and creating self-serve capabilities.
Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.
The Senior Data Analyst at MNTN will analyze data, create visualizations, and support data analysis needs within the Production Operations team. Responsibilities include conducting analytics for stakeholders, debugging data incidents, and collaborating on product improvements based on data insights.
The Data Analyst 3 will support the setup of a new Enterprise Data Warehouse for the Commonwealth's behavioral health initiative. Responsibilities include collaborating with data architects, creating data dictionaries, and assisting in data analysis. Proficiency in SQL, Excel, and data visualization tools like Tableau and Power BI is necessary, along with strong analytical skills.
The Data Analyst will provide advanced analytical support to USSOCOM, focusing on big data analysis, programming, and algorithm development. Responsibilities include improving data collection methods, fixing coding errors, performing statistical analysis, and collaborating with intelligence teams to enhance data usability and automation for consumers.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
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