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The Data Solutions Specialist leads the development of the Operations Scorecard, designs interactive dashboards, and collaborates on automating data processes. This role ensures data quality and communicates insights effectively to stakeholders.
The Data Solutions Specialist will develop and maintain the Operations Scorecard, create interactive dashboards, automate data capture, optimize APIs, and ensure data quality across various business metrics while communicating insights to stakeholders.
The Data Scientist/Sr. Data Scientist will lead analytics projects in the Life Sciences industry, focusing on Brand, Real World Data, and Marketing Analytics. Responsibilities include managing teams, client engagement, delivering solutions to business problems, and using analytical tools to drive insights.
The Senior Data Engineer in Analytics will design and implement analytics infrastructure, enabling data analysts and scientists to follow DataOps best practices. Responsibilities include data warehousing, ensuring data quality and governance, evaluating new tools, optimizing cloud costs, and maintaining security and compliance.
The Associate will support the Investment Analytics and Data group by designing investment reporting systems, assisting with data architecture, defining requirements, and collaborating with investment teams. The role involves automation and QA testing of investment data tools to enhance operational efficiency and data distribution for clients.
The Senior Manager I, Data Science and Analytics will lead a team to deliver analytics services for healthcare.gov communications. This role includes mentorship, project design and evaluation, ensuring quality of analytical products, and providing strategic insights based on data findings.
As a Sr Data Analyst, you will provide data-driven insights, implement a data visualization strategy, and serve as the main point of contact for reporting and analytics needs. You'll work with stakeholders to solve complex problems, develop analytics consumption patterns, and champion data science concepts across the business.
The Data Analyst will analyze data, support decision-making processes, and enhance existing tools for the medical supply chain. Responsibilities include collecting requirements, interpreting data, conducting trend analysis, and presenting findings to various stakeholders. The role demands strong analytical skills and the ability to work independently on complex data projects.
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The Sisense Data Analytics Technical Consultant is responsible for training customers on the Sisense tool, consulting on dashboard and report creation, and coordinating with development teams and vendors. The role includes the development of training materials and requires technical knowledge in database design and analytics tools.
The Global Consumer & Marketing Analyst will leverage consumer analytics to influence decision-making, develop modeling methodologies, and implement data-driven solutions for marketing attribution. Responsibilities include automating data collection, leading analytical processes, collaborating with teams, and staying updated on industry advancements.
The Global Digital Marketing Analyst will partner with stakeholders to develop analytical data solutions, manage relationships with tech partners, lead onboarding to CDP tools, and ensure data quality. The ideal candidate will utilize customer purchasing data to inform marketing strategies and collaborate on digital media and analytics for performance optimization.
The Manager, Data Analytics and Insights is responsible for overseeing client programs and campaigns, turning complex data into compelling insights, developing measurement strategies, and collaborating with teams to create impactful reports and presentations.
The Lead Data Analyst will analyze HR and talent data to provide insights and develop visualizations to support decision-making. Responsibilities include designing dashboards, maintaining data quality, mentoring team members, and advocating for innovative approaches in People Analytics.
The Software Manager for Data Analytics leads a team in transforming data into actionable insights, designs visualization systems, and communicates with decision-makers. Responsibilities include optimizing data strategies, managing team performance, and ensuring data privacy compliance. The role necessitates a successful track record in program management and effective interpersonal skills.
The Software Manager for Data Analytics will lead data engineering and data science initiatives, mentored by guiding team members and facilitating communication with the Product Owner and customers. Responsibilities include developing strategies for data pipelines, adhering to standards, and overseeing project execution. Ensuring successful data transformation and loading processes is also key, along with managing a technical team's performance.
The Manager, Data Analytics and Insights at Golin will oversee client programs and campaigns, utilizing tools like Sprinklr and Meltwater for data collection and reporting. Responsibilities include setting KPIs, transforming data into actionable insights, developing measurement strategies, and collaborating on reports. Strong analytical and storytelling skills are essential.
As a Senior Associate in Quant Analytics, you will develop SAS and SQL code for campaign population targeting, collaborate with marketing managers, produce data validations, analyze correlations and trends in data, and mentor junior staff while ensuring compliance and process adherence in marketing strategies.
As a Sales Representative at CoStar Group, you will engage with potential and existing clients, manage a book of business, and promote CoStar’s analytics and information products, while owning the entire sales cycle from prospecting to closing.
The Data & Analytics Manager will lead integration of data analytics within the organization, ensuring effective use of data for strategic insights. Responsibilities include defining performance metrics, developing data models, advancing SQL and Python analyses, and creating dashboards for stakeholders. Communication of complex data to non-technical audiences is essential.
As a Data Scientist in Analytics Consulting at Komodo Health, you will deliver high-value data analytics projects, implement client solutions using advanced statistical analysis or machine learning, and develop an understanding of healthcare claims data. You will work collaboratively with teams to solve complex problems and present insights effectively to various audiences.
The Senior Analytics Engineer will work with stakeholders to address data challenges, conduct exploratory analysis, and improve product features based on user feedback. They will also stay updated on analytics technologies to drive business value.
The role involves developing and maintaining production-grade analytical models, conducting data discovery, and providing insights for the Payments organization. It includes collaborating with cross-functional teams and communicating complex data challenges to both technical and non-technical audiences.
As the Data & Analytics Lead, you will lead business intelligence efforts, develop reporting dashboards, provide analytical support to teams, and drive strategic analysis through data insights. You'll improve data literacy organization-wide and collaborate cross-functionally to empower data-driven decision making.
As a Data Scientist at Twitch, you will enhance product performance measurement, lead analytics methods, and support community safety. Responsibilities include conducting A/B tests, producing reports, and translating product questions into metrics. You'll collaborate closely with product teams to improve community interactions, influence product design, and ensure data-driven decision-making.
The Developer in Test III will design and maintain automation frameworks, perform data validation, and develop test strategies for Azure data engineering projects. Responsibilities include testing large datasets, conducting various test types, and collaborating with analysts and developers to assure quality and testability.
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