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Senior Data Analyst

October 31, 2023 | Database/Data Engineering/Data Analytics | 2 positions in Phnom Penh

Job responsibilities

  • Building valuable use cases using the existing data sets and driving business decision-making with outputs that are business driven.
  • Focusing on outputs and mediating user requests for data analysis.
  • Driving outputs with a value proposition to a non-technical audience as a coherent story with clear, easy-to-follow conclusions and understandable and executable business outputs.
  • Ensuring governance of data, the correctness of reporting, alignment of use cases, and promoting the use of a data-driven decision-making process.
  • Developing and building strategic analytics frameworks.
  • Collecting requirements for both new and existing products of the company.
  • Handling prioritization of various initiatives, and communicating with key stakeholders regarding progress.
  • Performing hands-on data analysis to design predictive systems or improve the performance of systems.
  • Presenting complex ideas and their value proposition to a non-technical audience as a coherent story with clear and easy-to-follow conclusions.
  • Guiding business decisions by interpreting statistics, and preparing high-level presentations of data for administrative review.
  • Planning and developing data flow (execute with the help of junior members) that ensures data availability of essential data points, data consistency of various KPIs, and data accuracy of all reported KPIs.
  • Working on all aspects of creating predictive intelligence, including collecting requirements, establishing analytics work plans, data exploration, cleansing, preparing, identifying features, selecting algorithms, building and testing models, and iteratively improving solutions.
  • Defining, building, and developing use cases and solutions to solve business problems using optimization, clustering, regression, statistical inference, and relevant techniques.
  • Exploring, developing, and being a pioneer in harnessing the domain of text mining, social network analysis, sentiment analysis, and usage of unstructured data in the organization.
  • Studying cutting-edge research papers for use case implementation and customization within the organization.
  • Performing hands-on data analysis to design predictive systems or improve the performance of systems.
  • Analyzing performance trends and indicators and recommending necessary actions to achieve business goals.
  • Spearheading the development and interpretation of statistical models to aid in decision-making.

Job requirements

  • Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline. Advanced degree preferred.
  • Minimum of 4-5 years of professional experience in a related field.
  • Experience in extracting, cleansing, and preparing data for modeling purposes.
  • Experience in constructing and implementing machine learning and predictive models in practical scenarios.
  • Strong familiarity with big data systems and methodologies.
  • Proficiency in utilizing query languages, including SQL, Hive, Spark QL, and Python.
  • Proficiency in utilizing statistical modeling tools, such as R, SAS, and SPSS.
  • Excellent written and verbal communication skills in English and Khmer.
  • Outstanding communication and presentation abilities.
  • Demonstrated capacity for creative and innovative problem-solving.
  • Strong team player with a result-oriented mindset, meticulous attention to detail, and analytical mindset.
  • Intellectual curiosity and a deep passion for data and analytics.
  • Curiosity-driven and consistently seeking innovative and practical avenues to enhance existing processes and practices, while prioritizing customer satisfaction.
  • Strong entrepreneurial mindset, constantly seeking opportunities for growth and improvement, particularly within a startup environment.
  • Possesses a solid grasp of fundamental business principles and concepts, and can effectively connect business objectives with technical implementation.
  • Demonstrates a deep passion for comprehending the needs and expectations of both internal and external customers, and strives to surpass them.
  • Dynamic and visionary individual who possesses the drive and determination to overcome obstacles, particularly when faced with time constraints and limited resources.

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