About the company: NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements.
The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world's leading training companies owing to its vast, yet comprehensive array of talent development programs.
With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.
Link for our LinkedIn page: https://www.linkedin.com/company/niitmts/mycompany/ Link for our website : https://www.niit.com/en/learning-outsourcing/ Position: Statistical Trainer Location: Europe (Remote) Job type: Freelance contract At least 3 years experience in developing (program, training material, contents) training courses or participating in the provision of training courses.
Must have a level of education that corresponds to completed university studies attested by a diploma when the normal period of university education is four years or more.
Must have a minimum of 3 years working experience or a PhD in statistics, economy or an equivalent domain, relevant for the statistical field(s) for which he/she is proposed.
A Master degree from an EMOS labelled university (or equivalent) counts as up to two years of working experience.
Statistical methods and tools in production and innovation management in official statistics: Statistical fields: • European Statistical System (ESS) – Introduction, organization and governance, legal framework • Enterprise Architecture (EA) for official statistics • Design of statistical processes including data collection • Data integration, validation, editing and imputation • Estimation, time series analysis, seasonal adjustment • Econometrics • Data ethics and privacy • Methods for input privacy (privacy enhancing technologies) • Methods for output privacy (Statistical disclosure control and confidentiality) • Geospatial information in statistics • Information standards and technologies for describing, exchanging and disseminating data and metadata • Statistical classifications • Data Quality and Quality reporting • Big data sources, tools and Trusted Smart Statistics • Data engineering • Big data analytics • Processing of large structured, unstructured, (close to) real time, and sensor data • Artificial intelligence, machine learning, Bayesian inference, statistical modelling • Languages for statistical computing and graphics • Visualization and communication with statistics • Publication and dissemination • Relation with Media • Skills enhancement and training • Project, Programmed and Portfolio Management • Data stewardship • Relation with stakeholders • Innovation and change management • Data science skills for the next generation of statisticians • Sampling • Web scraping and online/smart data Sectoral and Regional statistics Statistical fields: • Environmental economic accounts • Agriculture and fisheries • Transport • Energy • Waste statistics • Water statistics • Statistical cartography • Environmental statistics and accounts; sustainable development • Regional statistics and geographical information Macro-economics, Social and Business statistics Statistical fields: • National Accounts • Balance of Payments statistics • Theory and practice of Harmonised Indices of Consumer Prices (HICP) • Innovative data collection in Social Statistics • Business statistics • Business registers/EuroGroups register • Financial information analysis to support business statistics • Demography, Population and migration • Labour Market NIIT is an equal-opportunity employer.
We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.