An information agency specializing in financial markets requires MySQL/PHP Application Developer. The format of work is remote, but it will be necessary to visit the office in St. Petersburg or Yerevan once in 3 months.

Responsibilities:

• Participation in the design of the database, projections for data showcases (sites), development of replicators to keep projections up to date.
• Maintaining and developing the database operations layer, which is further utilized by other teams.
• Optimization of complex SQL queries working with large amounts of data to increase performance;
• Support and development of the project to organize data delivery to clients (data feeds);

Requirements:

• Strong understanding of relational database design principles, knowledge of SQL (MySQL 8+) and its features (CTE, window functions, triggers, etc.);
• Experience and understanding of SQL query optimization principles;
• Strong knowledge of PHP 7.4+, OOP principles, design patterns;
• Experience as a PHP backend programmer for 5+ years;
• Experience with GIT;
• Desire to work in a team;

Will be a plus:

• Experience working with highload projects and optimizing database structure and SQL queries to increase performance;
• Experience working with noSQL stores (MongoDB).

On the project on complex implementation in the international company with more than 2000 users is required 1C Consultant in the direction of logistics. 

Tasks:

Performing tasks on customization of standard and finalized solutions 1C: ERP, 1C:WMS

Development of technical specifications for finalization of 1C ERP,1C:WMS configurations, testing, implementation of fixes.

Analysis of business processes, development of technical requirements

Conducting user training and consultations;

Preparation of user documentation;

Designing methods and mechanisms of data integration and migration from existing client systems;

Participation in related IT projects of the department in the direction of business consulting.

Requirements:

Knowledge of exchange interfaces between different systems (both 1C systems and external systems);

Experience with the procurement subsystem (regular purchase, purchase of services with write-off to expense, non-invoiced deliveries, goods in transit, import, customs declarations);

Knowledge of customs declaration processing mechanisms

Knowledge of warehouse movement 

Understanding of the difference between order and non-order document flow scheme in 1C;

Writing functional and technical requirements for interfaces of exchange, changes or development of new functionality;

Writing user manuals and training them.

Will be a plus:

Knowledge of1C: WMS;

Knowledge of 1C: TMS;

Knowledge of SQL, MS Office.

Multinational company - leader in digital services is seeking an experienced Business Intelligence / Data Visualization Engineer to join a team passionate about data science and delivering cutting-edge visualizations & insights across the entire portfolio.

About the project:

This role will require working with internet-scale data across numerous product and customer touchpoints, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making across all levels of the company.

About the team:

The team’s culture is centered around rapid iteration with open feedback and debate along the way. They encourage independent decision-making and taking calculated risks. Data Science & Analytics collaborates with partners across product, design, engineering, marketing, editorial, and business teams. They produce insights to drive decisions that enhance the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy.

Job Description:

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with the Data Science team to define metrics, datasets, and automation strategy.
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how the services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery

Key Qualifications:

• 5+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, PowerBI, and Microstrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• Education - minimum of a Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field.

Soft-skills:

• Curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
• Able to communicate and collaborate across many different teams, has an agile approach to solve challenging problems quickly, and stresses the details.

Location: CA, USA.

In search of a strong Data Scientist position on a long-term project of a large international company in the field of commercial and luxury residential real estate. 

Tasks:

• Analyze and process data. Identify anomalies, dependencies, trends, etc.;
• Collect and update analytical dashboards (Power BI, DataLens), visualize data and metrics;
• Formalize business objectives and generate hypotheses for research;
• Describe data warehousing change and optimization requirements;
• Select and optimize machine learning models to solve business problems;
• Present the results of your work and research.

We expect you to:

• Has been involved in analytics and Data Science for more than 3 years;
• Worked in a team, communicative and stress-resistant;
• want to understand data deeply and learn new things;
• worked with tasks from a business customer.

Skills:

• Are confident writing in Python and SQL;
• have good spreadsheet skills (excel, google);
• know how to apply ML in applied business tasks;
• know how to put forward analytical and product hypotheses, know how to organize and conduct experiments and interpret the results;
• know statistics;
• have experience with neural networks, generative machine learning models.

Level of Russian language: from B2.