Build and maintain SQL-first data transformation pipelines with testing
Design and maintain analytics tables and dimensional models in the cloud warehouse
Develop and maintain Power BI dashboards and reports for several business teams
Monitor and report on key performance indicators and business metrics
Translate business needs into scalable data solutions with department heads
From the employer’s posting
Build and maintain data transformation logic and pipelines (SQL-first; dbt or equivalent preferred)
Design and maintain analytics tables and dimensional models (marts) in the cloud data warehouse
Develop and maintain dashboards and reports using Power BI and internal systems
Monitor and report on key performance indicators and business metrics.
Collaborate with department heads to understand analytical requirements and translate business needs into scalable data solutions.
About Playtech
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B and B2C businesses.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Azure
BigQuery
dbt
GCP
Looker
Metabase
Power BI
Tableau
Airflow
Where the posting names them
- Are experienced in working with both real-time and batch data processing.
- Possess experience in SQL and Python.
- Are an excellent collaborator with strong analytical skills.
- Extract, transform, and analyze data from multiple sources, including proprietary systems, databases, and real-time feeds.
- Build and maintain data transformation logic and pipelines (SQL-first; dbt or equivalent preferred) to ingest, transform, and load data into the data warehouse, with testing and validation at every layer.
- Design and maintain analytics tables and dimensional models (marts) in the cloud data warehouse (e.g., GCP/BigQuery/Azure) and support orchestrated workflows (e.g., Apache Airflow) for batch and near-real-time data processing.
- Build and maintain data transformation logic and pipelines (SQL-first; dbt or equivalent preferred) to ingest, transform, and load data into the data warehouse, with testing and validation at every layer.
- Design and maintain analytics tables and dimensional models (marts) in the cloud data warehouse (e.g., GCP/BigQuery/Azure) and support orchestrated workflows (e.g., Apache Airflow) for batch and near-real-time data processing.
- Develop and maintain dashboards and reports using Power BI and internal systems to provide actionable insights for Customer Service, Risk Management, Player Engagement, and Product teams.
- Are experienced working with Power BI (or similar BI tools such as Looker, Tableau, Metabase).
- Are familiar with cloud data warehouses (GCP/BigQuery, Azure, or equivalent).
- Have hands-on exposure to data pipelines, orchestration, and scheduling (e.g., Apache Airflow).
- Are fluent in English.
- Are experienced working with Power BI (or similar BI tools such as Looker, Tableau, Metabase).
- Are familiar with cloud data warehouses (GCP/BigQuery, Azure, or equivalent).
- Design and maintain analytics tables and dimensional models (marts) in the cloud data warehouse (e.g., GCP/BigQuery/Azure) and support orchestrated workflows (e.g., Apache Airflow) for batch and near-real-time data processing.
- Develop and maintain dashboards and reports using Power BI and internal systems to provide actionable insights for Customer Service, Risk Management, Player Engagement, and Product teams.
- Monitor and report on key performance indicators and business metrics.
- Are familiar with cloud data warehouses (GCP/BigQuery, Azure, or equivalent).
- Have hands-on exposure to data pipelines, orchestration, and scheduling (e.g., Apache Airflow).
- Are experienced in working with both real-time and batch data processing.
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About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Playtech Managed Services is looking for an experienced Junior Data Analyst to help support new products related to Business Intelligence and Marketing in the iGaming industry. This role will be a key member of the Product team supporting the advancement of new and innovative products for a strategic partner in a regulated market.
Your influential mission. You will...
Extract, transform, and analyze data from multiple sources, including proprietary systems, databases, and real-time feeds.
Build and maintain data transformation logic and pipelines (SQL-first; dbt or equivalent preferred) to ingest, transform, and load data into the data warehouse, with testing and validation at every layer.
Design and maintain analytics tables and dimensional models (marts) in the cloud data warehouse (e.g., GCP/BigQuery/Azure) and support orchestrated workflows (e.g., Apache Airflow) for batch and near-real-time data processing.
Develop and maintain dashboards and reports using Power BI and internal systems to provide actionable insights for Customer Service, Risk Management, Player Engagement, and Product teams.
Monitor and report on key performance indicators and business metrics.
Collaborate with department heads to understand analytical requirements and translate business needs into scalable data solutions.
Ensure all data analysis and solutions follow regulatory requirements, data governance standards, and responsible gaming principles specific to the gaming industry.
Qualifications
Components for success. You...
Have strong expertise in data quality assurance and validation processes.
Have 6 months to 1 year of experience in data analysis, business intelligence, or analytics engineering roles.
Are fluent in English.
Are experienced working with Power BI (or similar BI tools such as Looker, Tableau, Metabase).
Are familiar with cloud data warehouses (GCP/BigQuery, Azure, or equivalent).
Have hands-on exposure to data pipelines, orchestration, and scheduling (e.g., Apache Airflow).
Are experienced in working with both real-time and batch data processing.
Possess experience in SQL and Python.
Are an excellent collaborator with strong analytical skills.
Additional Information
Thrive in a culture that values...
Contribution and achievements by offering performance bonuses and ample opportunities for internal growth.
Employees' health and well-being through comprehensive health and dental insurance plans, life insurance, MultiSport card, employee assistance program, food, travel, and wellness allowances.
Work-life balance by providing 25 days of paid annual leave, allowing you to relax and recharge.
Continuous growth with company-sponsored seminars, training programs, social activities, and events, guiding your professional journey and helping you achieve your career goals.
Celebrating life events with additional bonuses such as newlywed, and baby bonuses.
PLAYTECH MANAGED SERVICES
Established in 2007 in Sofia, Bulgaria, Playtech Management Services, a company of Playtech Group has grown into a thriving hub of 500 dedicated professionals, fostering a culture of collaboration, respect, and support. Specializing in customer support and risk management services for leading gaming platforms worldwide, our teams boast industry-leading response times and expertise. At Playtech Managed Services, we prioritize the personal and professional development of our team members, offering opportunities for both horizontal and vertical growth. Our dedicated employees invest their time and expertise in our success, and in return, we invest our passion in them. We provide a fun, creative, rewarding, and inspiring environment where individuals have the freedom to express themselves.
Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.
Company Description
About Playtech
Founded in 1999, the company has a premium listing on the Main Market of the London Stock Exchange and is focused on regulated and regulating markets across its B2B and B2C businesses. Both divisions leverage Playtech’s proprietary technology to deliver innovative products and services to ensure a safe, engaging, and entertaining gaming experience. Playtech is the gaming industry's leading technology company delivering business intelligence-driven gaming software, services, content, and platform technology across the industry. Read more about who we are and what we do here: www.playtechpeople.com
Here at Playtech, we genuinely believe that people are our biggest asset. Diverse thoughts, experiences, and individual characteristics enrich our work environment and lead to better business decisions. Recognizing differences and ensuring our processes are transparent is the core of Playtech's overall commitment to responsible business practices.