Data Analytics and AI Engineer @ ZIEL in ZIEL

We are seeking a Fact-Obsessed Data Science and Analytics Expert who thrives on transforming complex data into actionable insights. This role is ideal for a data enthusiast who combines advanced analytical skills with a strategic mindset, aiming to drive data-informed decisions across our organization.

Advanced Data Analysis and Modeling

• Proficient in complex data analysis, statistical modeling, and predictive analytics, using tools like Python, R, SQL, and advanced Excel.
• Expertise in developing and interpreting sophisticated data models to forecast trends and inform business strategies.

Data Infrastructure and Management

• Skilled in designing, implementing, and managing robust data infrastructures, including databases, data warehouses, and cloud-based data storage solutions.
• Familiarity with big data technologies and platforms like Hadoop, Spark, and Kafka for handling large-scale data processing.

Artificial Intelligence and Machine Learning

• Strong understanding of AI and machine learning concepts, including experience in developing and deploying machine learning models to automate data processes and derive insights.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Automation and Efficiency Technologies

• Proficiency in implementing automation tools and technologies, such as robotic process automation (RPA) and AI-powered bots, to streamline data operations.
• Ability to identify opportunities for automating repetitive data tasks to increase efficiency and accuracy.

Data Visualization and Reporting

• Advanced skills in data visualization tools like Tableau, Power BI, or Looker, capable of creating compelling and insightful reports and dashboards.
• Adept at translating complex data findings into clear, understandable visual representations and reports for diverse audiences.

Legal Compliance and Data Ethics

• Deep knowledge of legal and regulatory requirements related to data, including GDPR, HIPAA, and other data protection and privacy laws.
• Commitment to ethical data practices, ensuring data is handled responsibly and in compliance with all regulations and standards.

Problem-Solving and Analytical Thinking

• Excellent problem-solving skills, with the ability to approach complex data challenges logically and systematically.
• Strong analytical mindset, capable of dissecting large data sets to uncover hidden patterns and insights.

Communication and Collaboration

• Exceptional communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Collaborative team player, adept at working across various departments and aligning data initiatives with broader business goals.

We are seeking a Fact-Obsessed Data Science and Analytics Expert who thrives on transforming complex data into actionable insights. This role is ideal for a data enthusiast who combines advanced analytical skills with a strategic mindset, aiming to drive data-informed decisions across our organization.

,[Development of Analytical Use Cases, Strategically identify, design and implement analytical use cases focused on product relevance, timing, and market alignment, incorporating automation as a fundamental aspect of product development lifecycle., Utilize data analysis to make informed decisions on product features, enhancements, and launch strategies, ensuring they meet market demands effectively., , Data Infrastructure Design and Management, Architect and manage a targeted data infrastructure that supports comprehensive data activities, including collection, analysis, and interpretation., Ensure the infrastructure is not only robust and secure but also optimized for efficient data handling and scalability to accommodate growing data needs., , Creation of a Comprehensive Data Ecosystem, Develop a clear and transparent system for data sourcing, storage, and utilization, providing a holistic view of data operations., Implement measures to ensure data integrity, quality, and compliance, making data easily accessible and understandable to stakeholders., , Metrics and Dashboard Development, Define critical business metrics and construct interactive, user-friendly dashboards that offer real-time insights and facilitate data-driven decision-making., Tailor dashboards to cater to the unique needs of different departments, enabling more informed and strategic operational choices across the organization, ]

Requirements: Data analysis, Python, SQL, Excel, Data models, Storage, Big Data, Hadoop, Spark, Kafka, Machine learning, AI, TensorFlow, PyTorch, scikit-learn, Robotic process automation, Data visualization, Tableau, BI, Looker, GDPR, Communication skills