Top Hybrid Senior Level Data & Analytics Jobs
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
The Senior Data Analyst will support the Customer Success team by utilizing Python for statistical analysis and visualization, writing complex SQL queries, developing reports, identifying data trends, and communicating insights to stakeholders while ensuring quality and collaboration within the team.
The Senior Web Analyst will analyze web traffic and eCommerce performance using Google Analytics, optimize media attribution models, and deliver insights to enhance digital marketing strategies and ROI. Collaboration with cross-functional teams is key to refining strategies and improving online performance.
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Lead a team of data engineers in designing and creating scalable data platforms and fault-tolerant pipelines for modern analytics and AI services. Responsible for complex data migrations and developing distributed ETL/ELT pipelines with cloud-native data stores.
Join a team of data engineers at Egen, a data engineering and cloud modernization firm, to build scalable data platforms and fault-tolerant pipelines using Python, SQL, Linux, Bash, and cloud services. Responsibilities include leading data engineering teams, designing data pipelines, consulting with teams, preparing documentation, and facilitating data migrations. Requires a Bachelor's degree in a related field, experience with EDA leveraging Kafka, data warehousing knowledge, and strong programming skills in SQL, Python, and Bash.
As a Senior Procurement Data & Reporting Analyst, you will develop reports and data products to support procurement operations, lead automation initiatives, and participate in tool selection and implementation, collaborating with various stakeholders to meet reporting and analytics needs.
Reporting to the Manager of Change Enablement, work with Connected Shop Floor team to implement change strategies, communicate plans and engage stakeholders. Responsibilities include project support, cross-functional alignment, communication, stakeholder engagement, and continuous improvement. Requires a Bachelor's degree, 5 years of experience in similar role, strong analytical and communication skills, and willingness to travel 75%. Legal authorization to work in the US is required. Location: Remote with extensive travel.
As a Lead Data Scientist, you'll oversee project execution, collaborate with teams, and design complex machine learning models. You will ensure the delivery of scalable data science solutions and mentor the team while aligning initiatives with business goals.
The Analyst II Audit will enhance operations through effective compliance, risk management, and internal controls. Responsibilities include conducting audits, assessing compliance with regulations, documenting findings, and recommending improvements. The role requires strong analytical skills and the ability to handle large data sets, with a focus on protecting the company's assets.
In this role, you will develop and execute an analytics strategy for the consumer business, collaborate with stakeholders on analytics projects, leverage AI for data modeling, and build robust data visualization capabilities using tools like Looker. You will be responsible for turning complex data sets into actionable insights, championing a data-centric culture, and ensuring data accuracy.
The Consultant, Marketing Science Analytics role involves leading customer engagements, managing project delivery, building statistical models, and fostering client relationships to drive business growth. The consultant is accountable for data collection processes and must train team members while collaborating with leadership to meet project goals.
The Senior Staff/Principal Scientist will lead a team of data scientists to develop machine learning and AI pipelines for analyzing large biological datasets. Responsibilities include managing data, developing quality controls and visualization tools, and collaborating with cross-disciplinary teams. This role also involves writing grants and scientific papers.
The Principal Data Scientist will lead the development of predictive models to enhance revenue expansion and reduce churn for Magnify's customers. This involves leveraging various datasets, innovating around data science methodologies, and collaborating with engineering to build reliable data science pipelines.
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