Job Description Job Title: Business Analyst Job Summary: The Business Analyst is responsible for analysing and documenting business processes, gathering and documenting business requirements, and ensuring that proposed solutions meet business needs. They bridge the gap between business stakeholders and the development team. Responsibilities: 1. Requirements Gathering: Elicit, document, and manage business requirements from stakeholders. 2. Data Analysis: Analyse data to identify trends, patterns, and insights that can inform business decisions. 3. Process Analysis: Evaluate and document current business processes and recommend improvements. 4. System Analysis: Analyse existing systems, their functionalities, and limitations to identify opportunities for enhancement. 5. Documentation: Create and maintain clear and comprehensive business requirements documents, use cases, and user stories. 6. Communication: Act as a liaison between business stakeholders and technical teams, ensuring effective communication and understanding of requirements. 7. Testing Support: Collaborate with quality assurance teams to define test cases and ensure that the delivered solution meets the specified requirements. 8. Project Management: Assist in project planning, tracking, and management by providing input on scope, timeline, and resource requirements. 9. Change Management: Support the implementation of new systems or processes, including training and post-implementation support. Qualifications: 1. Experience: Minimum, 3-5 years of experience as a Business Analyst or in a related role. 2. Technical Knowledge: Familiarity with business analytical tools, as well as strong understanding of technology and systems. 3. Project Management: Familiarity with project management concepts and methodologies- Agile or SCRUM, Elicitation tools, Azure DevOps, JIRA. 4. Analytical Skills: Strong analytical and problem-solving skills, with the ability to dissect complex business problems and provide feasible solutions. 5. Domain Knowledge: Depending on the industry, knowledge of specific business domains, such as US healthcare, and/or US Mortgage, is required. 6. Certifications: Preferred-Relevant certifications, such as Certified Business Analysis Professional (CBAP) or Certified ScrumMaster (CSM). 7. Documentation Skills: Proficiency in creating detailed and organized documentation, including business requirements, use cases, and process flows. 8. Interpersonal Skills: The ability to work collaboratively, build relationships, and facilitate meetings and workshops. 9. Communication Skills: Excellent written and verbal communication skills to effectively convey ideas and requirements to both technical and non-technical stakeholders. 10. Education: A bachelor's degree in a relevant field, such as Business Administration, Computer Science, Information Technology, or a related discipline.
Job Title: Data Analyst Job Summary: We are seeking a highly analytical and technically skilled Data Analyst with AI/ML expertise to work with large, complex Accounts Receivable (AR) datasets. This role will focus on transforming raw, multi-source AR files into structured insights, defining KPIs, and providing directions for AI analytics and insights to uncover patterns, trends, and predictive signals. The insights generated will directly support our development team in building intelligent, data-driven solutions. Key Responsibilities: Understand complex AR datasets (structured/unstructured). Define core KPIs, automated dashboards and reporting for real-time visibility. Collaborate with developers and data engineers to operationalize analytics models into applications. Provide directions to use NLP, clustering, and pattern recognition to extract insights from unstructured AR files. Translate business problems into data science use cases, delivering actionable insights. Qualifications: Bachelors degree in data science, Statistics, or related field. Minimum experience of 2-3 years as a Data Analyst or working with big data analysis. Proven experience in AI/ML-driven analytics, preferably with financial or AR-related data. Strong proficiency in statistical analysis, machine learning, and automation. Knowledge of SQL and experience working with large relational databases. Experience with data visualization tools (Power BI, Tableau, Looker, or similar). Knowledge of AR/finance domain concepts (billing, collections, reconciliation) is a plus but not mandatory. Ability to translate complex technical insights into business-friendly recommendations.