Business Analyst CSM Technologies

  • company name CSM Technologies
  • working location Office Location
  • job type Full Time

Industry Type - IT - Software

Category: Project Management

Experience: 3 - 8 years required

Pay: USD 800 - USD 2000 /month

Type: Full Time

Location: Phnom Penh

Skills: Business Analysis, C++ Programming Language, Java, Python

About CSM Technologies

CSM Technologies, founded in 1998 in the capital city of Bhubaneswar, is a CMMi5 IT Solutions & Services company that has implemented 500+ projects in diverse markets, including government, enterprises, and small businesses, across multiple geographies. Over the course of two decades, the organisation has grown from three to eight hundred members of staff.

Job Description

JOB LOCATION: Phnom Penh, CAMBODIA
Coverage of Medical Insurance in Cambodia
Travel arrangements to/from office location in Cambodia

  • Analyze business technology requirements and specifications against value and risk of potential solutions.
  • Translate business needs and requirements into potential Artificial Intelligence (AI) and/or analytics problems.
  • Scope Proof-of-Concepts for AI and analytics related use cases and projects.
  • Identify suitable technological solutions for the business.
  • Balance requests and competing priorities from key stakeholders to maximize the value delivered to the organization.
  • Conduct cost-benefit and risk assessment analyses for proposed solutions to determine suitability of solutions.
  • Present business cases defining potential benefits and solutions to increase efficiencies of business processes and associated risks.
  • Examine interactions between systems elements, performance, and issues.
  • Recommend proposed solutions and/or enhancements to improve and optimize processes, workflows, performance, and systems.
  • Identify opportunities where AI and analytics can address business and user needs and create value.
  • Design the solution blueprints for the specific areas of expertise with the consideration of implications for integration across the entire solution.
  • Oversee the evaluation of proposed solutions and/or enhancements to ensure its feasibility, viability, and efficiency.
  • Evaluate the feasibility, viability, and implications of proposed solutions and/or enhancements to systems in the current and future business environment.
  • Oversee the development of different components within the proposed solutions and/or enhancements.
  • Analyze inter-dependencies and inter-linkages of systems and processes across the organization.
  • Translate business requirements and user needs into functional and technical specifications.
  • Develop a roadmap to translate existing system specifications into future- state systems requirements.
  • Function as the liaison between users and technical team throughout the implementation cycle
  • Ensure that business requirements are incorporated into the solution design.
  • Manage risks associated with new solutions and/or proposed enhancements.
  • Guide the design and development teams towards smooth solutions integration.

Skills & Experience

  • A bachelor’s degree or higher in computer science, data science, software engineering, information engineering, or a related field
  • A strong knowledge of AI and analytics concepts, tools, frameworks, and best practices
  • A proficiency in programming languages such as Python, R, Java, C++, or SQL
  • A certification in AI, machine learning, business analysis, data science, or cloud computing from a recognized institution or vendor
  • A minimum of 3 years of experience in designing, developing, and deploying AI and analytics solutions for various business domains and use cases.
  • A proven ability to communicate effectively with both technical and non-technical stakeholders, and to translate business requirements and user needs into functional and technical specifications.
  • Demonstrated skill in conducting cost-benefit and risk assessment analyses, presenting business cases, and recommending optimal solutions for complex problems.
  • A keen eye for identifying opportunities and challenges where AI and analytics can create value and improve efficiency.
  • A familiarity with the current and emerging trends and technologies in AI and analytics, and a willingness to learn and adapt to new changes.