Top Data & Analytics Jobs
Lead and mentor a high-performing analytics team, design and communicate complex data insights to stakeholders, collaborate in defining the data collection strategy, champion the design and analysis of A/B tests, support ad hoc data analysis for stakeholders, develop and update dashboards for various business functions, create new analysis explores, work in data analysis within the data science team, build reusable services and components, conduct QA and code reviews, ensure data product quality standards
As a Sales Executive in Data & Analytics, you will manage a sales pipeline, foster client relationships, conduct meetings for customized strategies, negotiate contracts, present sales solutions, and report on sales metrics. Your focus will be on closing significant deals in sectors like Life Sciences and Financial Services.
Seeking a Software Engineer / Data Analytics to support a U.S. Government customer by leveraging Python and Data Science skills for critical mission-related tasks. Responsibilities include vulnerability analysis, developing tradecraft, generating insights from data analysis, and maintaining automated workflows.
The Consultant will manage and implement data visualization and user interface development, collaborating with various clients to analyze and optimize these elements, while mentoring team members. Responsibilities also include overseeing data analytics and KPI development to support process improvements.
The Senior Sales Analyst will lead analyses that drive strategic decision making for the commercial organization, focusing on financial forecasting, building models, and creating dashboards to present actionable insights. Responsibilities include supporting the development of metrics, mentoring other analysts, and designing new processes for team efficiency.
The Data Analyst II will lead data integration, develop analytical models, build dashboards, and perform analyses to support workforce data trends and resource allocation for decision-making. Responsibilities include using mathematical and statistical methods to analyze data, ensure alignment with standards, and provide insights for recruitment and retention initiatives.
The Data Analyst I will integrate and analyze data across platforms to inform recruitment strategies, develop analytical models for enhanced data accessibility, create staffing models for resource allocation, and build dashboards for reporting critical activities. Responsibilities also include performing studies and assessments using various quantitative and qualitative analytical techniques.
Lead transformational change for clients by designing and executing data and analytics strategies. Collaborate with client leaders to address business challenges using data insights, contribute to practice direction, and work alongside teams to implement analytics initiatives. Provide mentorship and support to grow within a dynamic consulting environment.
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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.
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.
Responsible for analyzing user data, developing analytical frameworks, collaborating with cross-functional teams, and delivering data-driven solutions.
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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