Hire Data Analyst (DA) Developer

- 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). - 8+ years with Python for data applications, including hands-on scripting experience - 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

- 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.

- 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

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.

- 10+ years of experience as a Business Analyst; - Strong skills with SQL, MySQL, XML, JSON, SOAP, REST, Figma, Lucidchart, Power BI; - Familiar with Camunda, Shell Scripts, MS Dynamics 365, and Atlassian Confluence; - Experience with Azure and SQL Server ecosystems; - Holds Oracle certification in Primavera P6; - Experience with UX, cyber security; - Deep skills in Agile methodology and PMI PMBOK principles.

- Full-stack iOS Developer with over three years of experience, specialized in Swift, Python, and Xcode, with a successful track record of designing, developing, and launching high-quality iOS applications. - Demonstrated expertise in the complete app development lifecycle, skilled in UI/UX design, front-end coding, back-end integration, and database management. - Extensive 11-year background as a Data Analyst, proficient in data visualization, econometric modeling, and using tools like Stata, EViews, and Python to deliver data-driven solutions. - Strong foundation in various statistical techniques and models, including ARDL, Spatial Autocorrelation, Probit and Multinomial Logit regressions, and VECMX model. - Proven experience in project management, including conducting feasibility studies for PPP projects, and an adept understanding of risk assessment and stakeholder collaboration in the economic sector. - A well-rounded educational background with a Master of Arts in Economics and a Bachelor of Arts in Economic Informatics, graduating with honors.

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.

- Over 7 years of experience in Digital Marketing, 3 of which are in the Trading Ecosystem as a Director Marketing/Team Lead Marketing - Skilled in using major tools like Facebook Ads, LinkedIn Ads, Google Analytics, GTM, and Data Studio, as well as newer platforms like TikTok Ads. Demonstrated success in managing large budgets, leading cross-functional teams, and launching products in the US and European markets, primarily in the EdTech and FinTech sectors. - Proficient in SEO, comprehensive analytics, and the creation of data-driven marketing sales funnels, specializing in formulating digital promotion strategies that enhance lead generation and customer segmentation for SaaS products. - Upper-Intermediate English

Engineer with 4 years in IT, specializing in analytics, data visualization, and machine learning. Proven track record in Agile project execution and innovative solution design. Proficient in Power BI, Python, R, and various ML techniques. Experienced in database modeling and ETL processes, with certifications in Power BI Data Analyst and expertise in multiple data-centric tools. Skilled in optimizing workflows and algorithms for business intelligence across diverse domains.