Hire Data Analyst

- 12+ years experience working in the IT industry; - 12+ years experience in Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems; - Good skills working with Microsoft Azure, AWS, and GCP; - Deep abilities working with Big Data/Cloudera/Hadoop, Ecosystem/Data Warehouse, ETL, CI/CD; - Good experience working with Power BI, and Tableau; - 4+ years experience working with Python; - Strong skills with SQL, NoSQL, Spark SQL; - Good abilities working with Snowflake and DBT; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Upper-Intermediate English.

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing) - Data QA, SQL, Pipelines, ETL, Automated web scraping. - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Extensive experience with Spark and Hadoop, Databricks - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including Data Analytics/Engineering services, Kubernetes (K8s) - 5 years of experience with PowerBI - 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense; - 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch; - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

- 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 honours), 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

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 6+ years of experience with Tableau (Certified Tableau Engineer) - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies: Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

- 7 years of commercial experience with Tableau - 8 years of experience as a BI Consultant, providing data visualization expertise in Tableau, Power BI, Python, SQL - Created visually compelling and interactive Tableau dashboards for clients in the real estate domain in the US - Upper-Intermediate English

- 5 years of commercial experience with PowerBI and Tableau - 4 years of commercial experience with SQL - Prepared a comprehensive analysis of the US real estate market with Spotfire - Assessed data quality from sources that contained tens of thousands of customer and transaction data, by using SQL in Azure SQL Database - Employed data-driven techniques to develop RFM analysis, and create interactive dashboards for customer trend visualization and high-value business proposals - Upper-Intermediate English

Software engineer with extensive expertise in Python, Django, and AI/ML integration, adept at developing high-performance, scalable solutions. Significant experience in AI model training, data validation, and physics-based simulations, contributing to innovation in AI-driven applications. Strong background in data analysis and visualization using tools like Tableau and Looker Studio. Proven success in mechanical systems design and optimization. Holds a B.Sc. in Business Administration and a suite of technical certifications, including HackerRank problem-solving and Python programming. Over a decade of professional experience, offering a rich blend of technical prowess, analytical acumen, and project management skills.

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.