The ideal candidate for a full-time assistant professor position in analytics should have experience or a strong interest in analytics, including visualization, data mining, multivariate methods and supply chain analytics. proficiency in programming languages commonly used in analytics such as python or r, along with a solid understanding of machine learning techniques and their applications in business decision-making is also required. preference will be given to candidates with a clear commitment to research, particularly in the areas of applied analytics, data-driven decision-making, supply chain analytics and emerging technologies. a dedication to the continuous improvement of teaching and course content at both the undergraduate and graduate levels is also highly valued. applicants must hold a ph.d. or be near completion in a relevant field and demonstrate the potential to publish in high-quality, peer-reviewed journals. additionally, candidates should have a strong ability to collaborate with industry partners and engage in interdisciplinary research that bridges academia and business challenges. we are interested in candidates with: 1. a ph.d., either completed or near completion, in information systems, business administration, industrial engineering, systems engineering, economics, or another relevant field. 2. a desire and aptitude to contribute to a successful and fast-growing educational organization. 3. potential for research and publication in international peer-reviewed journals. 4. an ability to contribute to different undergraduate and postgraduate prog...
Job description: we are seeking a skilled operations research (or) analyst to join our team. in this role, you will contribute to the design, modelling, and implementation of optimization, simulation, and analytics solutions to drive business decision-making. you will work closely with cross-functional teams to solve complex problems and drive operational efficiency. responsibilities include developing and implementing mathematical models to support business processes and decision-making, assisting in the development of algorithms for logistics, scheduling, inventory management, and resource allocation problems, and using software tools like python, sql, and or-tools to build and test models. - develop and implement mathematical models to support business processes and decision-making. - assist in the development of algorithms for logistics, scheduling, inventory management, and resource allocation problems. - use software tools like python, sql, and or-tools to build and test models. skills and qualifications: - masters degree in operations research, industrial engineering, applied mathematics, computer science, or related field (required). - solid understanding of operations research techniques such as optimization, simulation, graph theory, and statistical analysis. - programming skills in python, java, or c++. - experience with optimization libraries such as or-tools, pulp, gurobi, and cplex. benefits: our team is dedicated to delivering top-tier intelligence through user-friendly platforms, empowering organizations to make informed decisions in commodities, ener...
Job description: "> we are seeking a seasoned business analytics consultant to join our team. as a key member of our performance analytics practice, you will work closely with clients across various industries to deliver actionable insights and drive business growth. "> key responsibilities: "> "> - manage deliverable development and workstreams on projects across a range of industries and problem statements. "> - contribute to/develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value. "> - manage working relationships with client managers, and act as a trusted and reliable partner. "> "> requirements: "> basic qualifications: "> "> - undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics projects. "> - experience managing clients or internal stakeholders. "> - able to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence. "> - data and analytics experience: data analytics software (e.g., python, r, sql, sas), building, managing, and maintaining database structures. "> - advanced word, excel, and powerpoint skills. "> - able to perform multiple tasks in a fast-paced, deadline-driven environment. "> - effective communication in english and the local office language. "> - eligible to work in the country where applying and for travel visas as required. "> "> preferred qualifications: "> "> - experience managing tas...
At the forefront of innovation, we're building a team of forward-thinking professionals to drive breakthrough growth for our clients. as a business intelligence manager, you'll play a key role in decoding the intersections of people, content, and technology to bring our aspirations to life. job responsibilities: - design and maintain advanced reporting and data quality dashboards to clearly communicate analytical findings and strategic recommendations to internal stakeholders and clients. - collaborate with cross-functional teams to retrieve, compile, and clean raw data to support reporting needs. - employ advanced analytics tools and techniques, such as sql, python/r, and visualization tools to conduct thorough and efficient data analysis that supports informed decision-making. - prepare campaign performance reports on a weekly, monthly, and quarterly basis. - lead and manage projects, utilizing project management tools to ensure stakeholder alignment and transparent communication of progress. - ensure that all project and data management documentation is meticulously maintained and regularly updated to reflect current operations and practices. - contribute to the enhancement of our commerce analytics capabilities to a best-in-class level by staying informed on industry trends/innovations and driving new analytics initiatives that contribute to client business goals. requirements: 1. 3-5 years of hands-on analytical experience. 2. bachelor's degree in data science, statistics, computer science, or a related field. 3. proficient in using tableau / powerbi for dashboardi...
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