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Contract BI Data Visualization Specialist responsible for building and maintaining user-friendly dashboards, reports, and presentations for marketing stakeholders. Must have 2-3 years of experience as a data analyst with expertise in Tableau and SQL. Strong analytical skills, familiarity with digital marketing platforms, and excellent communication abilities are required.
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.
As a Data Engineer at Datavant, you will create and maintain ETL processes, collaborate with development teams to define data flows, and ensure the quality of data models. You will document data architecture, audit data quality, and identify inefficiencies in current processes. Your role involves participating in agile projects and producing documentation to support development.
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.
Design and build data models, BI dashboards, and applications to solve business problems. Collaborate with a team to understand data and business needs. Support program management and troubleshoot issues. Recommend technical developments and optimize solutions. Continuous learning and development in BI tools, cloud platforms, databases, and version control systems.
In this role, you will design and build data pipelines, collaborate with finance and product teams to measure performance, and automate data models. You will also conduct analysis to address business questions and uphold data quality.
The Senior Data Analyst will extract business insights from data through mining, complex analysis, and visualization. Responsibilities include designing tools to identify fraud threat vectors, analyzing data patterns, partnering with product teams for solutions, and developing machine learning models.
The Data Architect will lead data management and migration projects, develop and review data processes and architecture for on-premise and cloud systems, assess risks, and communicate with clients to translate needs into data requirements. Responsibilities also include optimizing database queries, producing documentation, and enhancing data integration processes using various tools and technologies.
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As an eDiscovery Associate at Bright Labs, you'll apply expertise in forensics, predictive analytics, and machine learning to enhance case strategies and optimize litigation profiles. Key responsibilities include designing eDiscovery workflows, identifying risks, and leveraging advanced data techniques.
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
The FVP of Data Science and Monetization will lead data efforts to drive revenue, enhance customer engagement, and optimize business operations. Responsibilities include developing data strategies, leading teams, collaborating on monetization opportunities, ensuring data quality, and leveraging emerging technologies.
As an Associate Data Science Analyst, you will develop technical skills in machine learning systems, analyze datasets, and create innovative solutions to real-world data science use cases. You will work in a close-knit team-oriented environment, contributing to the company's decision-making and customer experience improvements.
The Data Scientist Analyst will analyze data to extract insights, build models, and create data visualizations to support decision-making across departments. They will perform exploratory data analysis, collaborate with business teams to gather requirements, and document analytical processes for effective communication of findings.
The Sr. Bioinformatics Data Analyst will lead and contribute to the software lifecycle of Scientific Data Applications, collaborating with scientists to enhance data models and accessibility. Responsibilities include designing scalable data solutions, analyzing data issues, unifying master data for quality improvement, and mentoring team members on best practices in data solutions and architecture.
The Sr Data Scientist will design and validate predictive models for sales forecasting and customer segmentation, lead project lifecycles from conception to delivery, and analyze customer data to enhance experiences across channels. They will collaborate with various teams and mentor junior data scientists.
The Lead Data Engineer will lead the development and implementation of data integration solutions. Responsibilities include managing a team, designing robust data pipelines, ensuring data quality, and optimizing workflows. This role involves collaboration with stakeholders and mentoring junior members in a fast-paced environment.
As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.
The Data Science Manager will lead a team of data scientists to provide insights that drive growth and enhance the user experience. Responsibilities include managing team performance, developing actionable plans from business challenges, and communicating analytical findings to stakeholders. Emphasis on collaboration and innovation is key.
As Data Technical Lead, you will oversee data consulting projects, guide data modeling and solutions, cultivate client relationships, mentor team members, and contribute to the growth of the data practice while ensuring project success and identifying business opportunities.
As a Data Scientist II at Putnam, you will lead a team to solve analytical problems for clients in the pharmaceutical and biotechnology sectors. Responsibilities include managing analytical workstreams, coaching junior team members, and synthesizing analyses into actionable recommendations. You will work extensively with big data, statistical testing, machine learning, and data visualization tools.
The Data Scientist will enhance organizational performance through innovative analytics models and processes. Responsibilities include collaborating with business stakeholders to identify opportunities for analytics solutions, conceptualizing and designing models to address business problems, sourcing data with Data Engineers, and fostering data science capabilities within teams.
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