Hire Data Analyst

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5+ years in Data Science - 5+ years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honors), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting - Engineering, Understanding AI and LLMs

- Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. - Business and Data Analyst with expertise in analysis and testing of business requirements. - Upper-Intermediate English. - Available ASAP.

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

Engineer with in-depth knowledge in accounting principles, statistical analysis, and technology tools. Notable for their expertise in QuickBooks, MS Excel, and SPSS for financial and data analysis tasks. Proven track record in full-cycle accounting, budget forecasting, financial reporting, and optimization of financial operations through dynamic pricing models and statistical forecasting. Demonstrated ability to improve operational efficiency and decision-making in various roles, including public sector planning and private sector data analysis. Strong foundation in tax compliance, financial accounting, and performance reporting. High proficiency in data analysis, auditing, budgeting, and financial planning, supplemented with skills in Adobe Creative Suite and Canva for creative design and digital marketing.

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

- 20+ years of experience in IT - Experience in Support Analyst, Systems Analysis, Software Development, Data Engineer, Database Engineer, Systems Integration, Integration Developer, Data Analysis, Data Structures, Data Integration, Database Migration, Database Modeler, Database Analyst/Developer, Database Design, Database Management, Data Warehouse, Data Discovery, ELT/ETL, Extract, Transform, Load, Data Pipelines, Data Replication, Business Intelligence, Data Modeling (Dimension and Relational), Performance Tuning (SQL, PL/SQL Applications), experience in working with large databases and datasets, testing, validation, implementation, and troubleshooting skills, performance and resource optimization improvements, maintaining development, test and production environments, experience with process automation (monitoring, alerting, auto-corrective) and distributed systems, strong knowledge in PL/SQL, SQL, Oracle Database and - Knowledge in Agile methodology (Scrum, Kanban). - Upper-Intermediate English - Available ASAP - No vacation plans

- Software engineer with over a decade of experience and background in AI and data science. - Skilled in predictive machine learning models, financial market analysis, and microcontroller development. - Proficient in Python, SQL, ETL processes, and data visualization tools like Power BI and Tableau. - Demonstrated expertise in managing technical directions of organizations and a history of academic excellence with a Master’s in Agronomy and advanced certifications in Data Analytics and Data Science. - ChatGPT 3 Turbo API and automating analysis tasks, showcasing the ability to leverage modern AI technologies to solve complex problems.

An experienced Data Analyst with a background in Mechanical Engineering and Investment & Risk Finance, this engineer boasts over 6 years of experience in data analysis and project management. Key technical skills include expertise in Power BI, Excel, and SQL with a proven track record of producing automated sales management systems and dynamic reporting dashboards. Demonstrated ability to convert complex datasets into actionable insights and develop strategic roadmaps for non-commodity exports, showcasing strong analytical research competencies. Experience includes managing and implementing innovative projects within Kazakhstan's digital development and aerospace sectors.