Top Remote Senior Level Data & Analytics Jobs
The Senior Manager, Analytics & Insights will lead the data pulling and reporting processes, create actionable insights from data analysis, and guide clients through findings. They will help establish the Analytics & Insights team and recommend tools while collaborating with marketing and PR teams.
The IT Portfolio Management Reporting Specialist manages and analyzes key performance indicators for a portfolio of IT projects, utilizing data to track progress, identify areas for improvement, and inform strategic decisions. They will create visual dashboards, monitor trends and risks, and provide insights to stakeholders, ensuring alignment with organizational goals.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
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The Sr Data Engineer will be responsible for expanding and optimizing the data pipeline architecture, collaborating with business leaders to create data assets, and participate in the design of the AWS-based data platform. The role demands extensive experience with SQL and AWS technologies, and involves building analytics tools for actionable business insights.
In this role, you will consult with clients to mature their Cyber Threat Intelligence (CTI) programs, leveraging your background in analyzing cyber threats and developing CTI products. You will manage multiple projects, mentor others, and communicate effectively across organizational levels.
As a Senior Data Scientist at BEES, you will develop and implement machine learning and deep learning algorithms to solve complex business problems, utilizing cloud platforms for data processing, and collaborating with cross-functional teams to deliver high-quality solutions.
The role involves leading a team of Solution Specialists to drive the sales of Procore's Analytics products, attract and retain talent, provide training, conduct performance reviews, and deliver forecasts to sales leadership while implementing process improvements.
As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Lead Business Planning Analyst is responsible for dataset development, modeling, reporting, and analysis to support Retail Markets. They will collaborate with Finance and Retail teams, challenge processes for profitability, and conduct analyses to inform business strategies and financial forecasts.
The Senior Data Operations Engineer will manage ETL processes, build and maintain data assets, troubleshoot data issues, support data append systems, and collaborate with various stakeholders to improve data operations.
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