A Fantastic Opportunity for

Data Analyst

Data Scienceបានបង្ហោះ 1 mo ago

Location

Chamkar Mon | Phnom Penh

Job Type

FULLTIME

Experience

2+ Years

Experience level

កម្រិតសហការី

Work Mode

On-site

Industry

Telecommunications

Languages

English, Khmer

អំពីតួនាទី និងភារកិច្ច

Build valuable use cases using the existing data sets and drive decision-making with the outputs which are driven.
Focus on outcomes and mediate user requests for data analysis.
Drive outputs with a value proposition to a non-technical audience as a coherent story with clear and easy-to-follow conclusions with understandable and executable outputs.
Develop and build strategic analytics frames.
Collecting requirements for both new and existing products of the company.
Handle prioritization of various initiatives and communicate with key stakeholders regarding progress.
Perform hands-on data analysis to design predictive systems or improve the performance of systems on all aspects of creating predictive intelligence, including collecting requirements, establishing analytics plans, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building, and testing models, and improving solutions.
Define, build, and develop use cases and solutions to solve problems using optimization, clustering, regression, statistical inference, and relevant techniques.

លក្ខខណ្ឌតម្រូវការងារ

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or other related fields is required.
Exposure to big data systems and methodologies.
Proficiency in using query s such as SQL, Hive, Spark QL, Python.
Proficiency in using statistical modeling tools such as R, SAS, SPSS.
Minimum 2 years of ing experience in a related field.
Experience in extracting, cleaning, and preparing data for modeling.
Experience in building and applying machine learning/predictive modeling in real-world use cases.
Good communication in English & Khmer, both written and spoken.
Having great communication & presentation skills.
Creative and innovative problem-solving skills.
Good team player, result-oriented attitude, strong attention to detail, and analytical mind.
Intellectual curiosity and a passion for data and analytics.
Strong desire to take initiative; ability to deal with ambiguity and competing objectives.
Curious and constantly looking for new, practical ways to improve the status quo and possess a customer-first mindset.
Hungry for innovation and improvement with a tup mindset.
Someone who has a sound understanding of principles and concepts and is able to bridge the gap between vision and technical deliverables.
Passionate about understanding customers (internal & external), knowing their needs and expectations, and ing towards exceeding them.
Dynamic and visionary with the ability and passion to drive and remove roadblocks particularly when there are time limitations and challenging resources.

ជំនាញចាំបាច់

StatisticsMathematicsEconomicsComputer ScienceEngineeringBig data systemsSQLHiveSpark QLPythonSASSPSSData extractionData cleaningData preparationMachine learningPredictive modelingEnglishKhmerCommunication

អំពី A Fantastic Opportunity for

ចូលមើលគេហទំព័រ

An awesome company. Join a winning team. You can make a difference.

Industry

Telecommunications

More at A Fantastic Opportunity for

Other open roles at this company

2 open

Sales Executive

Boeng Keng Kang | Phnom PenhFull-time

Finance Director

Chamkar Mon | Phnom PenhFull-time

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អំពីតួនាទី និងភារកិច្ច

Build valuable use cases using the existing data sets and drive decision-making with the outputs which are driven.
Focus on outcomes and mediate user requests for data analysis.
Drive outputs with a value proposition to a non-technical audience as a coherent story with clear and easy-to-follow conclusions with understandable and executable outputs.
Develop and build strategic analytics frames.
Collecting requirements for both new and existing products of the company.
Handle prioritization of various initiatives and communicate with key stakeholders regarding progress.
Perform hands-on data analysis to design predictive systems or improve the performance of systems on all aspects of creating predictive intelligence, including collecting requirements, establishing analytics plans, data exploration, cleansing, and preparation, identifying features, selecting algorithms, building, and testing models, and improving solutions.
Define, build, and develop use cases and solutions to solve problems using optimization, clustering, regression, statistical inference, and relevant techniques.

លក្ខខណ្ឌតម្រូវការងារ

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or other related fields is required.
Exposure to big data systems and methodologies.
Proficiency in using query s such as SQL, Hive, Spark QL, Python.
Proficiency in using statistical modeling tools such as R, SAS, SPSS.
Minimum 2 years of ing experience in a related field.
Experience in extracting, cleaning, and preparing data for modeling.
Experience in building and applying machine learning/predictive modeling in real-world use cases.
Good communication in English & Khmer, both written and spoken.
Having great communication & presentation skills.
Creative and innovative problem-solving skills.
Good team player, result-oriented attitude, strong attention to detail, and analytical mind.
Intellectual curiosity and a passion for data and analytics.
Strong desire to take initiative; ability to deal with ambiguity and competing objectives.
Curious and constantly looking for new, practical ways to improve the status quo and possess a customer-first mindset.
Hungry for innovation and improvement with a tup mindset.
Someone who has a sound understanding of principles and concepts and is able to bridge the gap between vision and technical deliverables.
Passionate about understanding customers (internal & external), knowing their needs and expectations, and ing towards exceeding them.
Dynamic and visionary with the ability and passion to drive and remove roadblocks particularly when there are time limitations and challenging resources.