Latest Data Analysis & Reporting Jobs

You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. We’re hiring a

Knowledge and understanding of data platform architecture (data warehouses, lakes, ETL/ELT pipelines, reverse ETL), data modeling, and analytics software. Shape the data infrastructure to meet the quality, discoverability, and format requirements necessary for machine learning and AI models. Acting

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. This role will focus on analyzing complex manufacturing and sensor data to drive measurable improveme

We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Exposure to ranking, clustering, or statistical similarity modeling. You'll work on large-scale data challenges that require creativity, algorithmic thinking, and

Prototype and train learning-based models using a data-centric approach, applying techniques such as automated feature engineering, active learning, and fine-tuning on curated datasets; Design, develop, and maintain efficient data and feature extraction pipelines to support ML engineers in accessing

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting

The Engagement Modeling Team at Reddit focuses on building machine learning models to drive on-platform user engagement with diverse media and content, with a focus on predictive modeling to improve interactions of click-throughs and video view-throughs. Partner with PMs, data scientists, and other

Design and refine machine learning models tailored to the retail industry, enhancing our predictive capabilities and market understanding. We are seeking a visionary Senior Product Manager to lead our Machine Learning Operations initiatives, focusing on developing retail-specific models and a user

This role reports to the Chief Health Information Officer (CHIO) and will develop and oversee the data team which currently includes the Senior Manager of Data and Impact, Data Engineer, and multiple external contractors and consultants. To support our impact at scale, the Learning Center i

Design data models that bridge the Fabric Lakehouse, Power BI semantic models, and reporting layers, ensuring consistency between raw, curated, and business-facing data. Establish and maintain best practices for version control, CI/CD, testing, and deployment of data pipelines and semantic models. K

Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems. Extract, load and transform data (ETL) from structured and unstruct

Cloud data platforms, Azure (Microsoft Fabric and Synapse Analytics), Databricks, Snowflake, and the data platform ecosystem. Use data and analytics to work collaboratively with customer leaders to understand business challenges and the competitive market landscape to design the desired future state

Experience with database systems and data infrastructure development, for example SQL-based databases, data repositories, or research data management platforms desirable. Supporting reproducible and transparent research data analysis and management, including the application of FAIR principles and t

Under the guidance and supervision of the Operations Manager, the State and District Testing and Data Coordinator is responsible for planning, managing, and overseeing all aspects of local, state, and federally mandated assessments, as well as ensuring the integrity, accuracy, and compliance of stud

The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Continuously evaluate recent and upcom

Partner with other GM pillar leads to identify and define analytics needs across GM pillars– including Customer Experience, Financial Product Management, Marketing, Operations and Servicing Strategy, and Business Management – and partner with internal Data Owners and Data Scientists to align on

Oversees activities related to an internal data and analytics portfolio (may include data science, data engineering, data prep, data governance, data stewardship, visualization, alerting and dashboard development). The Manager Of Data And Analytics will lead and develop a team that implements and su

Its mission is to set the firm's data and AI strategic direction, deliver firmwide data and AI solutions and expertise, and establish standards for responsible and controlled adoption. Develop and deliver executive-level strategy documents and analyses that articulate the value, impact, and directio

Partner with other GM pillar leads to identify and define analytics needs across GM pillars including Customer Experience, Financial Product Management, Marketing, Operations and Servicing Strategy, and Business Management and partner with internal Data Owners and Data Scientists to align on appro

The role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision‑making. Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting. Role Overview We are seek