Top Data & Analytics Jobs
Develop scalable reporting and analytics solutions, analyze performance trends, build cross-functional partnerships, evangelize data use, present project results.
Assist in developing engine model capabilities, methodologies, processes, and tools for John Deere Product Engineering Center. Conduct performance analysis simulations, assist in developing test protocols, calibration procedures, and support engine engineering processes.
Data Analyst role at iCapital focusing on turning data into actionable decisions. Responsibilities include full lifecycle analysis, data interpretation, database development, and process improvement. Looking for a candidate with 6+ years of experience in data analysis and strong SQL skills.
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The Engineering Manager position at Klaviyo involves leading and mentoring a team of software engineers to design and develop distributed data processing systems. The role includes owning features critical to customers, coordinating project delivery, and fostering innovation and collaboration within the team.
Lead a data engineering team at JPMorgan Chase, driving impact and innovation in data projects across departments. Make strategic decisions, deliver data pipeline solutions, and influence stakeholders. Transform traditional EDW into modern data products. Required: 10+ years of Data Engineering experience, leadership experience, Big Data technologies expertise, cloud platform experience. Preferred: Prior banking experience.
Lead the forefront of innovative solutions analysis, drive success through expertise in data analytics and technical program delivery, translate complex business requirements into technically feasible solutions, provide strategic insights to support key business initiatives, mentor team members, and foster a culture of continuous learning and improvement.
Design, implement, and deploy high-quality AI/ML solutions for complex business problems. Collaborate with business teams to deliver commercially impactful solutions. Refactor code, implement intelligent algorithms, and analyze model performance.
The Sr. Analyst, Growth (Customer Analytics) will drive insights to inform strategic decisions around customer engagement, perform analysis on the customer lifecycle, and drive business reporting. The role requires strong quantitative qualifications, ability to combine data-driven insights with conceptual thinking, and exceptional communication skills.
The Sr. Analyst, Growth (Customer Analytics) role at Grubhub involves driving insights to inform strategic decisions around customer engagement, leading analytical planning and execution of key strategic projects, analyzing the customer lifecycle, and driving business reporting. The role requires strong quantitative qualifications, data-driven insights combined with conceptual thinking, exceptional communication skills, and ability to operate in a fast-paced environment.
As a Business Intelligence Engineer, you will democratize data and drive data-driven decision making for all employees at Chime. Responsibilities include designing visually appealing dashboards, creating data insights, managing ETL workflows, and collaborating with stakeholders. Requirements include a degree in Computer Science or related field, 3+ years of BI engineering experience, expertise in Looker, and strong SQL skills. Ideal candidates have experience in data modeling, visualization, and automation.
Seeking a Senior Associate (Data & Operations) to build out the FP&A team at Chime. Responsible for financial planning, forecasting, data analysis, and process improvement. Must have 4+ years of finance/FP&A experience and strong skills in data analytics and financial modeling.
The Analytics Engineer will join SeatGeek's Data team and play a critical role in data extraction, storage, modeling, and processing. They will build and manage data models, extract data from various sources, and manage orchestration using Airflow. The work of the Analytics Engineer will drive SeatGeek towards its mission of becoming the top destination for live event goers.
The Analyst, Quantitative Developer will help with the implementation of efficiency-improving solutions for the assessment of residential real estate equity and debt investments by analyzing investment data, assessing financial models, improving Excel workflows, writing code, and learning to use Azure Data Factory.
As a Business Analyst, you will analyze business goals, update process docs, assist in resolving business issues, estimate costs, and launch new initiatives. This role offers hybrid and remote work opportunities with competitive benefits and a focus on employee well-being.
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