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We are seeking a passionate data team leader to join our dynamic team. We're revolutionizing how manufacturers extract value from their Big Data, driving Industry 4.0 forward with our cutting-edge industrial AI solutions. In this role, You'll lead a team of data analysts and engineers, collaborating with development and algorithm teams to design and implement game-changing applied data models and solutions. From developing the data strategy to overseeing data -driven client projects, you'll ensure data quality, integrity, and security throughout the entire process.
 
Contribution:
Key Responsibilities:
* Lead, mentor, and manage a team of data analysts and engineers.
* Participate and directly contribute to the team effort with 50% Hands-on involvement.
* Collaborate with development and algorithm teams to design and implement data models and AI solutions.
* Develop and maintain the data strategy, methods, and tools, aligned with business goals.
* Oversee the planning, execution, and delivery of data projects- Infrastructure and client-based solutions.
* Ensure data quality, integrity, and security across all data processes.
* Provide technical guidance in data analysis and management best practices.
* Stay current with industry trends and advancements in AI and data technologies.
* Communicate complex data concepts and insights to both technical and non-technical audiences.

We're seeking an expert Data Quality Analyst to join our Data and AI team. In this role, you will play a crucial part in ensuring the highest standard of data integrity and quality across our AI-driven platforms. You'll work closely with our Data Product Manager, Data Engineers, and Data Scientists to maintain and enhance standards in data accuracy, consistency, and reliability.
Responsibilities:
Collaborate on Data Quality Control Measures: Work alongside data engineers to define, execute, and refine data quality control measures.
Support Data Quality Analysis: Assist in analyzing data to identify trends, anomalies, and areas for improvement.
Own Data Quality Procedures: Help develop and maintain data quality standards and procedures for the work of the data scientists and data engineers.
Contribute to Data Quality Improvement Initiatives: Participate in projects aimed at data improvement, including identifying areas for improvement and possible solutions.
Monitor and Report Data Quality Issues: Establish and maintain a data monitoring and system, and contribute to the development of effective reporting mechanisms.
Engage in Cross-Functional Collaboration: Interact with various departments to understand their data needs and challenges.

We are looking for a Data Engineering Team Lead to join our in-house infrastructure group and play a pivotal role in contributing to the companys on-going success Come join us!
What You Will Do:
First, you will design a data pipeline architecture for obtaining, storing, ingesting, and routing large-scale amounts of data from various sources worldwide, both proprietary and commercial, in a distributed manner.
You will handle real time and vast data feeds which need to be accurately timestamped and recorded without congesting the network.
You will then lead a team of engineers to implement, maintain and consistently enhance the data pipeline, evaluate different data providers based on accuracy, cost, and richness, keep track of changes, monitor the quality of data sources, and suggest new ways to optimize storage and reduce latency.
Your Impact:
Conceiving innovative and novel ideas in all stages of the ETL pipeline.
End-to-end ownership POC, design, development cycles, deployment, and support.
Creative thinking using state of the art tech stack.

We are looking for a passionate analytics team lead to join our fast-growing analytics department. Using your analytical skills and leadership abilities, your mission will be to guid a team of analytics experts, help them to tell the story behind numbers, and translate data based insights into actionable business recommendations.

Responsibilities:
Lead, manage and motivate a team of business analysts, to help the company improve its business performance.
Consistently monitor the company KPIs and raise flags if needed.
Set the standard for best practices in the analytics world. Suggest new methodologies, processes and tools to analyze large data sets.
Work closely with the different business units, measure and identify hidden opportunities.
Take a key role in the companys decision making process, by leveraging data into business actions.
Initiate and lead a data driven culture.