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Experience:

1 year required

Skills:

Finance, Budgeting, Accounting

Job type:

Full-time

• Lead and deliver client engagements and collaborate with senior finance executives, their team and our internal cross line of service teams to determine improvements for existing policies, processes, technologies and organization structure.
• Define and develop strategies, roadmaps, optimal target operating model and deliver finance transformation and change projects which help address our clients evolving needs in the finance function along the dimensions of insight, efficiency and effectiveness, and control.
• Budgeting, Planning, Forecasting,.
• Chart of Accounts, Financial Closing and Consolidation,.
• Profitability & Cost Management,.
• Management Reporting, Business Analytics.
• Support the implementation of relevant technology platforms in the finance function from a functional standpoint such as SAP, Oracle, MS Dynamics, Hyperion, Cognos, Anaplan, Qlikview and Tableau.
• Develop tactical plans to help clients implement these strategies and measure or monitor results.
• Conduct current state performance assessment, root-cause and gap analyses in order to address complex business and finance issues and propose change recommendations.
• Develop deep relationships with key senior finance and management executives to bring the range of Finance and other competency offerings to the client.
• Degree in Accounting/Finance related discipline from a reputable University, with strong skills and experience in finance and treasury processes.
• 15+ years of relevant experience with a Consulting (Finance) background with demonstrated skills in building pipeline, managing projects and communicating effectively with clients and teams; or otherwise with strong industry experience (e.g. Retail, Shipping, Transportation and Logistics, Financial Service, Government and Public Sector, etc.) in the finance function in a business partner role.
• Experience with working on Enterprise Resource Planning (ERP), Enterprise Performance Management (EPM) or Treasury platforms / technologies.
• Strong analytical, interpersonal, leadership and communication skills with a track record of senior executive level engagement.
• Lean / Six-Sigma or equivalent certifications will be advantageous.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Bachelor Degree Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Not Specified
• Available for Work Visa Sponsorship?.
• No
• Government Clearance Required?.
• No

Experience:

5 years required

Skills:

Data Analysis, Automation, Python

Job type:

Full-time

• Work with stakeholders throughout the organization to understand data needs, identify issues or opportunities for leveraging company data to propose solutions for support decision making to drive business solutions.
• Adopting new technology, techniques, and methods such as machine learning or statistical techniques to produce new solutions to problems.
• Conducts advanced data analysis and create the appropriate algorithm to solve analytics problems.
• Improve scalability, stability, accuracy, speed, and efficiency of existing data model.
• Collaborate with internal team and partner to scale up development to production.
• Maintain and fine tune existing analytic model in order to ensure model accuracy.
• Support the enhancement and accuracy of predictive automation capabilities based on valuable internal and external data and on established objectives for Machine Learning competencies.
• Apply algorithms to generate accurate predictions and resolve dataset issues as they arise.
• Be Project manager for Data project and manager project scope, timeline, and budget.
• Manage relationships with stakeholders and coordinate work between different parties as well as providing regular update.
• Control / manage / govern Level 2 support, identify, fix and configuration related problems.
• Keep maintaining/up to date of data modelling and training model etc.
• Run through Data flow diagram for model development.
• EDUCATION.
• Bachelor's degree or higher in computer science, statistics, or operations research or related technical discipline.
• EXPERIENCE.
• At least 5 years experience in a statistical and/or data science role optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis, Expertise in advanced Analytica l techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Expertise in advanced analytical techniques such as descriptive statistical modelling and algorithms, machine learning algorithms, optimization, data visualization, pattern recognition, cluster analysis and segmentation analysis.
• Experience using analytical tools and languages such as Python, R, SAS, Java, C, C++, C#, Matlab, SPSS IBM, Tableau, Qlikview, Rapid Miner, Apache, Pig, Spotfire, Micro S, SAP HANA, Oracle, or SOL-like languages.
• Experience working with large data sets, simulation/optimization and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
• Experience developing and deploying machine learning model in production environment.
• Knowledge in oil and gas business processes is preferrable.
• OTHER REQUIREMENTS.

Skills:

SQL, SPSS, SAS, English

Job type:

Full-time

• Create team action plans regarding data analytics in alignment with the department and company s direction.
• Work collaboratively with departmental heads to analyze business initiatives and requirements as well as deliver value through data analytics tools.
• Manage the team to design and develop data analytics outcomes including analysis results in terms of trends anomalies or patterns, insights and reporting dashboards.
• Present findings, guidance or summary of the analysis results pertaining to data-driven decision-making using business intelligence tools.
• Convince and advise business users, leads together with committees to convert insights into business action, such as sales campaign execution and interaction with customers.
• Identify and measure benefits of the company s investment, activities or action brought about by data analytics.
• Master's degree or higher in Computer Science, MIS or related fields.Computer Science / IT and / or Digital certifications preferred.
• Data management and business intelligence professional.
• At least 8-10 years of experience in data-driven analytics using tools such as SQL, SPSS, SAS, Alteryx, QlikView, Tableau and Power BI.
• Excellence Communication in Thai and English.