Data visualization Jobs

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Data & BI Analytics Lead - P&C Insurance

Acunor Infotech

New Jersey, USA

Full-time

Ideal Profile: Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field. An advanced degree is preferred. Experience: 10 - 15 years of experience in data analytics, with a strong focus on insurance analytics. Expertise in the Property & Casualty (P&C) domain is strongly preferred. Technical Skills: Strong in SQL, Python, Spark, and data pipeline architecture Deep understanding of cloud platforms (AWS, Azure, or Google Cl

Applied Scientist

CX Data Labs Pvt Ltd

Dallas, Texas, USA

Full-time

Broad Responsibilities Include: Lead advanced AI opportunities and advanced algorithm development Collaborate with diverse teams to derive insights from data and support decision-making processes Design and develop sophisticated data visualizations to support business reporting needs from stakeholders Lead process improvement initiatives using a data driven approach, including workflow optimization and operational efficiency analysis Transform business requirements into structured analytical app

Business Analyst - II

Judge Group, Inc.

Alpharetta, Georgia, USA

Contract

Location: Alpharetta, GA Description: Our client is currently seeking a Business Analyst - II Create in-depth analyses, tools and dashboards to highlight the hardware and device behaviors that customer satisfaction, device health, overall performance and user retention - Create unique analytical models to track device health performance in the field - This job will have the following responsibilities: Work with our hardware engineering operations teams to deliver insights into device perform

Power Virtual Agent Developer

Lorven Technologies, Inc.

Columbia, South Carolina, USA

Third Party, Contract

Job description: Power Virtual Agent Developer Location: Columbia, SC (Onsite) Job Type: Contract 6-10 years of Experience with Microsoft Business Applications Power Platform Developer, with a strong understanding of the Power Platform suite, including Power Apps, Power Automate, Power BI, and Power Virtual Agents, AI Builder / Azure OpenAI, Dataverse, etc. Design and develop Power Apps canvas apps, model-driven apps, and custom connectors. Experience configuring Power Automate (Flow) to autom

Project Manager

Enterprise Engineering

New York, New York, USA

Third Party, Contract

Project Manager / Customer Support Location: New York, NY 4 days a week onsite mandatory - candidate must be local to be considered Full time Requirement - no visa sponsorship available at this time No third-party resumes please Role Overview: Fintech client in NYC is seeking a seasoned, passionate, and adaptable Product Manager with a passion for building the future of Open Finance, who can help us expand the capabilities of our financial data platform and drive new business and market share

Salesforce Developer with Grafana at Remote

Apetan Consulting

Remote or New Jersey, USA

Contract, Third Party

Role: Salesforce Developer with Grafana Location: Remote Duration: 6+ Months Interview Process: 2-3 round of video Grafana knowledge, building grafana dashboard UI, Salesforce platform experience, front end development experience. Responsibility: Manage the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation Familiar with source code, version management, and code deployment standards Ability to understand a project and deep di

Data Modeler

Triveni IT

Irving, Texas, USA

Full-time

Position: Data Modeler (5 yrs in Data Modeling, BigData, Hadoop) Location: Irving, TX (Initially Work from Home) Job Type: Fulltime Permanent As a Senior Data Modeler, you will be responsible for designing and modernizing the data structures for the solutions delivered across North America. You will create and maintain conceptual, logical, and physical data models, in support of the development efforts in various projects. You will plan for and implement steps towards a long-term data strategy