cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
people with a desire to work in the home typing and data entry field, from the comfort of their own homes average typing skills The post Home Based Typist/Data Entry Clerks appeared first on freerecruit.co.za
Analyst will be responsible for collecting, analysing, and interpreting data related to market trends, customer for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor Customer Insights: Utilize customer feedback, surveys, and market segmentation analysis to identify target
Analyst will be responsible for collecting, analysing, and interpreting data related to market trends, customer for detail, and the ability to translate complex data into actionable insights and recommendations. Key landscapes. Data Analysis: Analyze large datasets using statistical techniques and data visualization forecasts and demand projections based on historical data, market trends, and industry analysis. Competitor Customer Insights: Utilize customer feedback, surveys, and market segmentation analysis to identify target
Objectives
ability to identify patterns and trends, and transform data into meaningful insights.
Understand and leverage data and convert this into actionable insights Sharing key data insights & trends & brand perceptions Interpreting and leveraging data insights to constantly enhance customer experiences sentiment tracking, NPS, market listening, polls & surveys Drive quality engagements with our customers through
research to obtain data on labour costs, materials, production times etc. Use software for data analysis, forecasting planning Requirements ND Building/BTech Quantity Surveying/Civil Engineering or similar Proficiency in CCS management principles In-depth knowledge of research and data analysis methods and estimation formulas Exquisite
experience
Qualificatins
Bachelor in Engineering/Surveying from or Equivalent from an accredited University
Use
Qualifications:
BSc Quantity Surveying or equivalent (accredited University) No Online