Position: Data Analyst (Big Data)
Company: SoftConstruct
Category: SQL
Experience required: 2y

Our experience is extremely wide: from working with complex computer and engineering systems, programming for data science — to developing and putting into practice innovative solutions in the field of sports, eSports, and security.
 
Project: Data Platform.
Data warehouse that delivers the performance, simplicity, concurrency, and affordability for data collecting, rapid analytics, and extracting data-driven insights for business users.
Lambda architecture, designed to handle massive quantities of data by taking advantage of both batch and stream-processing methods. This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data.
In many organizations, data consumption processes for timely reporting or crucial analytical requirements are hindered by both delays in query execution and information presentation. The main challenge is to minimize decision delay with the help of flexible solutions with open and simplified architecture and high performance based on future-oriented technologies using AI models and forecasting analytics.
 
In numbers:
— Up to 1 PB of data from 500+ partners in long-term storage
— 30+ M new records daily
— Latency for insight based on data delivery time <5 sec
Technologies: SQL, Google BigQuery, Google Colab, Metabase.
 
Requirements:
— 2+ years of experience as BI/Data Analyst
— Hands-on experience with data visualization tools
— Solid data visualization principles understanding
— Business analysis: Marketing, Operations, Finance areas
— Data analysis: SQL, basic statistics, EDA, anomaly detection, clustering problems etc.
— VCS: git, Bitbucket
— OS: Linux

Nice to have:
— Domain in Gambling area (SportsBook or casino)
— R or Python
— Familiarity with data storage and ETL pipelines
— Hands-on experience with Google Cloud Platform: Cloud Storage, BigQuery etc.

Responsibilities:
— Data collection and preparation
— Building analytic dashboards (mostly using Metabase, Grafana, Kibana)
— Collaboration with the team Backend, Data Engineers, FrontEnd, Data Science, Design
— Creation and support of project documentation
— Corporate DWH and data science workbench integration

We offer:
— Interesting and challenging work in a product and customer-oriented technology company
— Plenty of opportunities to learn, grow and progress in your career
— Health insurance
— Paid vacation and sick leave
— We keep work-life balance
— Flexible working hours and the possibility to work remotely
— Relocation bonus
— Participate in R&D projects
— Silent office near Lukyanivska metro station

Sounds interesting? Then, apply now, don’t wait up. SoftConstruct is a cool place to work, where you’ll have fun, make friends, and grow professionally.