Atlaslive is a software development company, delivering the highest quality program solutions for the iGaming business. Based on in-house built proprietary core Platform and its components, the company creates pioneering solutions to automate the work of thousands of employees to maximize the profit and increase quality of product.
6 травня 2024

Senior Data Analyst (вакансія неактивна)

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We are a forward-thinking software development company, known for our proprietary core platform and its integral components — Sportsbook, CRM, Risk Management, Antifraud, Bonus Engine, and Retail Software Suite.
Join our team to be part of pioneering solutions that not only streamline the work of thousands of employees in every department but also significantly boost profits and elevate product quality.
Your role with us is a key part of a team shaping the future of software solutions in an impactful and dynamic environment.

We are seeking an experienced Senior Data Analyst to join our team and play a key role in analyzing complex data to support informed business decisions. Ideal candidate will have in-depth knowledge and experience with databases, proficiency in query and programming languages, and the ability to extract valuable business insights from large volumes of data.

Responsibilities:

— Development and optimization of database queries for analyzing large volumes of data using PostgreSQL and TSQL.

— Create and maintain reporting and analytical dashboards that provide key business insights.

— Analyze data using Python to identify trends, anomalies and business opportunities.

— Collaborate with various teams to define business requirements and develop appropriate analytical solutions.

— Participation in the design and implementation of data management systems to improve data quality and availability.

— Implementation of best practices and standards for data analysis.

Requirements:

— Advanced knowledge and experience with PostgreSQL and writing complex TSQL queries.

— Strong Python programming skills, especially in a data science context.

— Experience with data analysis and visualization tools.

— Deep understanding of analytical modeling and statistical analysis methodologies.

— Ability to communicate clearly and effectively with colleagues and stakeholders at all levels.

— University degree in computer science, mathematics, statistics or related field.

Perspectives:

  • A real opportunity for professional growth and self-improvement in a team of professionals
  • Challenging and exciting tasks, and all the needed tools to achieve them

Work Conditions:

  • Vacation: 22 working days per year.
  • Sick leave: 5 paid days per year.
  • Sick lists: 100% paid with medical certificate up to 10 days per year
  • Benefit cafeteria personal limit for health support