We are seeking a skilled Business Intelligence & Data Analytics Specialist with a strong analytical mindset, adept at interpreting complex data and transforming it into actionable insights. This role is integral to supporting our projects through data-driven decisions, visualizations, and reporting.Key Responsibilities:Advanced Excel Proficiency: Proficient in using MS Excel, including hands-on experience with lookups, pivot tables, and advanced data manipulation techniques for effective reporting and analysis.Communication Skills: Strong verbal and written communication skills, capable of articulating insights and collaborating with cross-functional teams effectively.Understanding of Development Methodologies: Exposure to the Software Development Life Cycle (SDLC) and Agile methodology, with the ability to contribute in an Agile environment.Project & Defect Management Tools: Hands-on experience using JIRA or similar project and defect management tools to track, prioritize, and report on project progress.Data Visualization: Proficient in data visualization tools like Power BI and Tableau, enabling clear representation of data insights for better decision-making.Database Knowledge: Knowledge of core database functions, data storage, data models, and data transfer protocols; an ability to handle and transform large datasets efficiently.Business Intelligence & Data Analytics: A strong background in Business Intelligence or Data Analytics, with the skills to support data-driven initiatives across the organization.SQL Proficiency: Ability to write basic SQL scripts to retrieve and manipulate data for analysis and reporting purposes.If you are passionate about data, visualization, and business intelligence, and are eager to apply your skills to real-world challenges, we would love to hear from you!

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers.Key Responsibilities:Statistical Analysis & Use Case Identification:Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making.Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction.Data Analytics Maturity Assessment:Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities.Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization.Technical Expertise:Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research.Implement, optimize, and maintain complex models, ensuring they are scalable and effective.Advanced Machine Learning:Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions.Communication & Presentation:Demonstrate excellent communication skills to convey complex analytics insights to stakeholders.Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions.Solution Development:Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions.Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value.Team Management:Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight.Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery.Experience:At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis.Proven track record in managing and mentoring a team of data scientists and engineers.Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).Skills:Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research.Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable.Exceptional problem-solving skills, with an emphasis on delivering actionable business insights.Excellent communication, presentation, and interpersonal skills.Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

Skills: SQL, SSISWe are looking for a skilled SQL Developer who will be responsible for designing, developing, and optimizing SQL queries and database models. The ideal candidate should have a strong understanding of data integration, ETL processes, and data warehousing concepts. Experience with data visualization tools and knowledge of Snowflake would be a great addition.Key Responsibilities:Develop and optimize complex SQL queries to ensure efficient data retrieval and processing.Design and implement data models and database schemas to meet business requirements.Perform data integration and ETL (Extract, Transform, Load) processes to ensure data accuracy and consistency across systems.Collaborate with stakeholders, including data analysts and business users, to understand and meet data-related requirements.Troubleshoot and resolve any data-related issues, ensuring high levels of performance and reliability.Key Skills:Strong proficiency in SQL with the ability to write optimized and complex queries.Experience with data modelling and implementing database schemas.Knowledge of ETL processes and tools for data extraction, transformation, and loading.Familiarity with data warehousing concepts and best practices.Data visualization tools knowledge (e.g., Tableau, Power BI) is a plus.

Role & responsibilities User Research: Assist in conducting user research to understand user needs and behaviors. Help in developing user personas, task flows, and information architecture. Support the team in analyzing user feedback to refine design ideas. Concept Development: Collaborate with senior designers to create wireframes, mockups, and prototypes. Develop creative ideas and contribute to brainstorming sessions. User Interface Design: Design visually engaging and consistent UI elements under guidance. Work on ensuring adherence to design guidelines and best practices. Collaboration and Communication: Work closely with team members and developers to align design solutions with project goals. Present your ideas and designs to the team for feedback and iteration. Prototyping: Support the creation of interactive prototypes for testing. Learning and Development: Stay updated with design trends and tools to enhance your skills. Learn and apply new concepts, techniques, and methodologies in UI/UX design. Preferred candidate profile Currently pursuing or recently completed a degree in Design, Fine Arts, or a related field. Basic knowledge of design tools like Figma. Understanding of design principles, colour theory, and typography. A strong interest in UX/UI design and a desire to learn and grow. Good communication skills and a collaborative mindset. Eagerness to take feedback constructively and work towards improvement. Ability to manage time effectively and handle multiple tasks.