Data Analyst supporting Modeling initiatives for Pfizer Global Supply. Collaborating with teams for Strategy Analysis through Data Analytics and Engineering.
About the role
- Data Analyst connecting engineering, product and business teams at Gamers Club, ensuring data quality and transforming insights into actionable strategies.
Responsibilities
- Ensure the quality, consistency and availability of data used for strategic decision-making
- Translate data into business insights, supporting leaders and teams in defining strategies
- Collaborate with key departments and business stakeholders to understand requests and turn product needs into actionable analyses
- Support the development of a data-driven culture within the Gaming team, contributing to evidence-based decision-making
- Ensure the reliability of metrics and data structures by validating rules and integrations
- Present results clearly and concisely to technical and non-technical audiences
- Act as a bridge between engineering, marketing and executive teams, helping connect technical performance with business impact
- Develop, optimize and maintain queries and structures in SQL
- Perform data cleaning, transformation and modeling (star schema, snowflake), ensuring consistency and organization
- Build and update dashboards and visualizations (Redash, Metabase, Looker)
- Support engineers in interpreting and reviewing Python code, and contribute automations and analytical scripts
- Build and execute ETL processes in Databricks
- Use code versioning (GitHub/GitLab) for change control and integration
- Apply statistical concepts to validate hypotheses and measure the impact of initiatives
- Support operations in cloud environments (AWS)
- Produce analyses and reports on behavior, engagement and performance within the Counter-Strike 2 ecosystem
Requirements
- Advanced knowledge of SQL
- Python programming
- Visualization tools: Redash, Metabase, Looker or similar
- Knowledge of data modeling and ETL processes
- Experience with Databricks
- Code versioning (GitHub/GitLab)
- Applied statistics
- Knowledge of and familiarity with Counter-Strike 2 (CS2)
Benefits
- Meal allowance / food voucher
- Health insurance
- Dental plan
- Life insurance
- Childcare assistance
- Birthday day off
- Support for professional development
- Annual bonus
- Flexible working hours
- Possibility of fully remote work
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Analyst at Yassir, focusing on capacity planning and demand forecasting in the logistics sector. Collaborating with teams to ensure driver availability and operational efficiency.
Senior Data Analyst linking data and business strategy for Honda. Contributing to understanding vehicle telemetry and user behavior data for decision making.
Data Analyst at Great Lakes Management responsible for data quality, modeling, and AI readiness. Collaborating with teams to deliver insights and improve operational efficiency.
Data Analyst at Metrc providing analytics and insights for cannabis regulatory systems. Collaboration with internal and external teams to support strategic decisions and operational efficiency.
Business Data Analyst driving data analysis and mapping in large - scale applications for the insurance domain. Collaborating with technical and business teams while ensuring data quality and standardization.
Data Analyst developing and maintaining functionalities in big data projects with agile methodologies. Collaborating with teams on implementation and user requirements in a hybrid work setting.
Supply Chain Data Analytics Co - Op supporting supply chain professionals at Crown Equipment Corporation. Involves data analysis, reporting, and collaborative problem - solving with different teams.
Supervising Associate providing high - quality financial reporting analysis and insights at EY Global Delivery Services. Leveraging advanced analytics to support decision - making for business and finance leaders.
Data Analyst Intern supporting Power Generation initiatives at WEC Energy Group. Collaborating on data - driven improvements and efficiencies in operations.