Manager, Data

Awantec is seeking a highly experienced and strategic Data & AI Business Analyst Manager to join our dynamic team. This role is pivotal in bridging the gap between business objectives and technology solutions, particularly within the realm of cloud-based services, system integration, and digital transformation initiatives. The successful candidate will lead complex business analysis efforts, drive process optimisation, and provide critical insights to inform strategic decision-making.

Key Responsibilities:

1. Assist in identifying and qualifying clients by analysing their data needs, challenges, and opportunities for leveraging analytics & AI solutions.
2. Help translate technical features of data analytics and Generative AI solutions into clear business value propositions tailored to client objectives.
3. Contribute to preparing presentations, demonstrations, and proof-of-concepts to showcase the effectiveness and potential of our analytics & AI solutions.
4. Develop and implement machine learning models and algorithms to solve complex business problems and enhance data-analytic & AI-driven applications.
5. Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.
6. Conduct data analysis, preprocessing, and feature engineering to extract valuable insights from large datasets, improving model performance.
7. Stay updated on the latest advancements in AI, data analytics, and machine learning, and incorporate them into AI development projects.
8. Optimise Data Analytics & AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.
9. Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI & Data Analytics solutions and development processes.
10. Troubleshoot and resolve AI and Data analytics-related issues, ensuring the reliability and accuracy of AI-driven applications
11. Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
12. Ensure data quality and integrity by implementing data validation and testing within ETL processes.
13. Assist in developing proposals and responses to RFPs/RFQs, ensuring alignment with client needs and analytics & AI capabilities.
14. Stay informed on the latest trends in data science, analytics, and AI technologies, and provide insights on how these innovations can enhance business outcomes.
15. Provide hands-on support in data collection, preparation, analysis, and visualisation for client projects, ensuring the accuracy and relevance of the insights.
16. Assist in documenting business processes and creating reports that enable data-driven decision-making and strategic planning for clients.

Key Requirements :

1. Minimum of 7-10 years of progressive experience as an Business Analyst (Data Analytic & AI) and experience Google Solution and Products.
2. Proven track record of successfully delivering complex technology projects, preferably within cloud computing, system integration, or enterprise software environments.
3. Expertise in requirements gathering techniques (e.g., interviews, workshops, use cases, user stories), process modeling (e.g., BPMN, flowcharts), and data analysis.
4. Proficiency in data visualization tools (e.g., Looker, Power BI, Tableau).
5. Programming Languages: Proficiency in Python, R, and SQL, Looker, Power BI, Tableau is crucial for data manipulation and analysis.
6. Machine Learning Algorithms: Understanding algorithms used in predictive analytics to forecast trends and build models.
7. Neural Networks: Familiarity with deep learning techniques that enable pattern recognition within large datasets.
8. Data Visualization: Skills in tools like Tableau, Power BI, or Python libraries such as Matplotlib and Seaborn to create intuitive dashboards.
9. Big Data Technologies: Knowledge of frameworks like Hadoop and Spark to handle and process massive amounts of big data.
10. Analytics Platforms: Utilizing platforms that support real time analysis to ensure insights are current and actionable