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Our client is a leading investment management firm in Nigeria, with four core business areas; Investment Banking, Asset Management, Securities Trading, and Investment Research. The company deploys a full range of…
Builds and deploys AI/ML models and data pipelines to analyze VA healthcare/benefits data, optimize workflows, and support decision-making for government IT solutions.
Specific Duties and Responsibilities · Oversee work streams and staff examiners; maintain exam/project schedule. · Manage interactions and communications with examinee company point(s) of contact. · Supervise multiple…
Reporting to the Airport IT Supervisor, the IT Support Technician is responsible for optimizing the use of IT equipment and providing on-site assistance to the end user, ensuring the maximum availability of the…
Build predictive models and analytics systems using Python, R, and SQL; lead a team of data scientists and collaborate with engineering/product teams.
Leads financial planning and analytics for a medical school, forecasting budgets, analyzing financial data, and building dashboards to support strategic decisions. Works with cross-functional teams to improve data systems and drive data-driven operations in a healthcare setting.
A Business Intelligence Developer and Financial Analyst role responsible for providing financial activities and system analytics for the Department of Emergency Medicine. The position requires advanced proficiency in Microsoft SQL Server, SSMS, SSRS, SSAS, SSIS, Power BI, PowerPivot, and Excel to develop financial reports and dashboards.
A Senior Department Data Analyst at UT Southwestern Medical Center supports nursing research by managing databases, conducting data quality checks, cleaning data, and building reports/dashboards for clinical and research projects.
Full Stack developer role involving frontend data visualization and backend data mining algorithm development using Java (Spring framework), JavaScript (React/Angular), and AWS technologies. Responsible for performance optimization, code reviews, and mentoring junior developers.
Leads advanced analytics and AI solutions for Campbell Soup, developing ML models (MLOps, TensorFlow, PyTorch) to optimize supply chain, marketing, and retail operations while mentoring teams and driving data-driven decision-making.
Lead algorithm development and analyze complex datasets for clients in sectors like national intelligence using machine learning, NLP, and statistical analysis.
A mid-level Data Scientist who provides statistical and mathematical support to analyze data, design analysis projects, and generate insights for leadership to inform strategic decisions, using tools like SQL, Pandas, and Jupyter Notebook.
Senior Data Scientist designing and implementing ML solutions for anomaly detection, root cause analysis, and predictive models on terabytes of streaming datacenter network data using Python, Golang, and big data tools like Spark and Flink.
Job Title: Senior Analyst – Pharma Analytics – OBU Career Level: D1 Introduction to role: Are you ready to turn complex healthcare data into decisions that accelerate access to life-changing medicines? Based in…
Build and automate procurement analytics dashboards and data models using Power BI, Tableau, SQL, and Snowflake to deliver spend and savings insights for Truist’s corporate services.
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Senior Data Analyst builds measurement frameworks and dashboards to track audience insights, content performance, and AI-driven discovery for Hearst's media products, using SQL, BI tools, and first-party data.
Senior Data Analyst builds measurement frameworks and dashboards to track audience insights, content performance, and AI-driven discovery for a media company’s data products.
The Senior Business Analyst, FinOps will define, document, and optimize end-to-end financial transaction workflows while bridging the gap between business operations and technology teams. The role requires extensive experience in financial processes, SQL, and process re-engineering to drive automation and operational efficiency.
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