A Technical Business Analyst (TBA) bridges the gap between business needs and technical teams by analyzing problems and implementing technology-driven solutions. Key responsibilities include translating business requirements into technical specifications collaborating with developers ensuring the successful implementation of new systems and improving existing software and processes. The role requires a blend of strong analytical skills technical knowledge and communication abilities.
Core responsibilities
Requirements gathering and analysis: Collect and analyze data to understand business problems and opportunities then translate these requirements into detailed technical specifications.
Solution design and implementation: Develop and oversee the implementation of technical solutions ensuring they align with business goals and integrate smoothly with existing systems.
Technical documentation: Create and maintain technical specifications system documentation and other project-related documents.
Stakeholder collaboration: Act as a liaison between business stakeholders and technical teams (such as developers and data analysts) to ensure clear communication and alignment.
Process improvement: Analyze current systems identify inefficiencies and propose and implement improvements to enhance workflow and performance.
System testing and support: Provide support during the testing phase and assist end-users in adopting new systems or applications.
Risk assessment: Identify potential risks in both current and proposed IT systems and recommend mitigation strategies.
Requirements
Required skills
Technical skills: Proficiency in areas like data analysis SQL and understanding of concepts like APIs cloud computing and data modeling is often required.
Analytical skills: Strong critical thinking problem-solving and data analysis abilities are essential for identifying issues and evaluating solutions.
Communication skills: The ability to clearly communicate complex technical information to non-technical audiences and to document technical details precisely is crucial.
Project management: Skills in project management are often necessary for overseeing the implementation of new systems and solutions.
Business acumen: A strong understanding of business processes and how technology can be used to improve them is fundamental.
Required Skills:
Required Skills & Qualifications Bachelors or Masters in ML Engineering (preferred) or Data Science. 56 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN SVM Naive Bayes. Proven work with NLP CNNs LLMs and deep learning architectures. Experience working with cloud platforms AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework Dialogflow or OpenAI APIs. Knowledge of model versioning monitoring or MLOps practices. Bonus: Open-source contributions or AI research experience.
Required Education:
Bachelors
A Technical Business Analyst (TBA) bridges the gap between business needs and technical teams by analyzing problems and implementing technology-driven solutions. Key responsibilities include translating business requirements into technical specifications collaborating with developers ensuring the su...
A Technical Business Analyst (TBA) bridges the gap between business needs and technical teams by analyzing problems and implementing technology-driven solutions. Key responsibilities include translating business requirements into technical specifications collaborating with developers ensuring the successful implementation of new systems and improving existing software and processes. The role requires a blend of strong analytical skills technical knowledge and communication abilities.
Core responsibilities
Requirements gathering and analysis: Collect and analyze data to understand business problems and opportunities then translate these requirements into detailed technical specifications.
Solution design and implementation: Develop and oversee the implementation of technical solutions ensuring they align with business goals and integrate smoothly with existing systems.
Technical documentation: Create and maintain technical specifications system documentation and other project-related documents.
Stakeholder collaboration: Act as a liaison between business stakeholders and technical teams (such as developers and data analysts) to ensure clear communication and alignment.
Process improvement: Analyze current systems identify inefficiencies and propose and implement improvements to enhance workflow and performance.
System testing and support: Provide support during the testing phase and assist end-users in adopting new systems or applications.
Risk assessment: Identify potential risks in both current and proposed IT systems and recommend mitigation strategies.
Requirements
Required skills
Technical skills: Proficiency in areas like data analysis SQL and understanding of concepts like APIs cloud computing and data modeling is often required.
Analytical skills: Strong critical thinking problem-solving and data analysis abilities are essential for identifying issues and evaluating solutions.
Communication skills: The ability to clearly communicate complex technical information to non-technical audiences and to document technical details precisely is crucial.
Project management: Skills in project management are often necessary for overseeing the implementation of new systems and solutions.
Business acumen: A strong understanding of business processes and how technology can be used to improve them is fundamental.
Required Skills:
Required Skills & Qualifications Bachelors or Masters in ML Engineering (preferred) or Data Science. 56 years of experience in ML/AI engineering or data science roles. Strong Python programming skills. Solid knowledge of algorithms like KNN SVM Naive Bayes. Proven work with NLP CNNs LLMs and deep learning architectures. Experience working with cloud platforms AWS or Azure. Prior experience integrating chatbots or conversational AI in production. Preferred Skills Familiarity with Microsoft Bot Framework Dialogflow or OpenAI APIs. Knowledge of model versioning monitoring or MLOps practices. Bonus: Open-source contributions or AI research experience.
Required Education:
Bachelors
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
