לוח משרות דרושים Data Analyst בנתניה

We are looking for an experienced Priority system Implementer to join our team. The role requires a service-oriented individual with excellent interpersonal skills and the ability to work effectively across various interfaces. Additionally, the candidate should have strong project management and motivational skills.
Responsibilities: - Implement and configure the Priority ERP system according to company needs. - Provide ongoing support and troubleshooting for the Priority ERP system. - Collaborate with different departments to understand and address their system requirements. - Conduct training sessions for end-users on the Priority system. - Develop and maintain documentation related to system implementation and usage. - Assist in integrating the Priority ERP system with other company systems and software. - Ensure data integrity and security within the Priority system. - Drive and manage ERP -related projects from inception to completion. - Contribute to continuous improvement initiatives within the companys processes.

We are looking for a motivated and detail-oriented system Implementation Specialist to join our dynamic team. The ideal candidate will have a solid background in financial tools and applications, and hands-on experience with systems like salesforce, One Stream, and Expense Management systems. The candidate will support the implementation, configuration, and optimization of these systems within the organization. Key Responsibilities:
* Support the analysis, design, and implementation of financial systems, including salesforce, One Stream, and expense management tools.
* Collaborate with IT and business teams to ensure effective integration and functionality of financial systems.
* Assist in the configuration, maintenance, and continuous improvement of financial applications.
* Understand user needs and provide comprehensive support, including user training, guidance, and troubleshooting.
* Create and maintain documentation, including system specifications, user guides, and training materials.
* Work with cross-functional teams to ensure that system requirements align with business goals and processes.
* Assist in data analysis, reporting, and monitoring of financial applications.
* Write characterization documents and perform development tests to ensure system functionality meets business needs.

We seek an experienced and innovative Business Analyst Team Leader to lead our Operational Department.

Key Responsibilities:

Cross-functional collaboration: Act as a key analytics partner for business, product, and R&D teams, aligning projects with strategic goals.

Data Analysis & Insights: Design and execute analytics projects, including quantitative analysis, statistical modeling, automated monitoring tools, and advanced data insights.

Business Opportunity Identification: Leverage extensive first-party data to identify trends, predict behaviors, and uncover growth opportunities.

Strategic Reporting: Create impactful dashboards, reports, and presentations to communicate insights and recommendations to stakeholders at all levels.

Innovation: Drive advanced analytics techniques, such as machine learning and predictive modeling, to enhance decision-making processes.

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it’s real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? We are seeking a highly skilled and motivated Data Analytics Team Lead to join our dynamic and growing Data Group. In this role, you will lead our analytics team, be responsible for analyzing complex datasets, and design, develop, and maintain analytics infrastructure and BI products. You will play a pivotal role in transforming data into actionable insights, driving business growth, and enhancing our data-driven decision-making process. You should have a strong background in data analysis, statistical modeling, and machine learning. Working within our unique Insurtech hub, you will provide actionable insights to drive business decisions and play a key role in the company's growth and expansion. You will collaborate closely with business stakeholders, data scientists, data engineers, and tech leads to implement cutting-edge solutions that enhance our competitive stance. Our ideal candidate has experience with various data streams, a passion for data and analytics processes, and a broad business perspective. Equally important, you are a friendly, collaborative, and communicative team member. Roles and Responsibilities:
* Team Leadership & Management:?Lead, mentor, and develop a team of Data Analysts to ensure high-quality analytical deliverables. Foster a collaborative and results-oriented team environment, conduct core methodologies, and provide technical guidance, training, and career path evolution for team members.
* Data Analysis & Insights:?Design, develop, and maintain analytical products using Power BI, Data Bricks, and Tableau. Perform deep-dive analyses to derive actionable insights that support business objectives. Utilize Python and SQL for data extraction, transformation, manipulation, and analysis, and implement best practices for analytics and reporting.
* Cross-Company Collaboration:?Partner with business units to understand their analytics needs and provide effective solutions. Communicate insights effectively to technical and non-technical stakeholders and support strategic decision-making with data-driven recommendations.
* Partnership with Tech Stakeholders:?Collaborate with data engineers, data scientists, R&D, Product, and AI teams to define data product scope, objectives, and deliverables. Promote cross-functional collaboration to align analytics projects with broader AI and data science initiatives.
* Data Projects Leadership:?Manage multiple data projects from inception to completion, ensuring timely delivery and high-quality outcomes. Continuously improve the performance, accuracy, and efficiency of analytics solutions.