Data Analyst responsible for creating reports and automating data analysis processes at Evertec. Collaborating with cross - functional teams to enhance data - driven decision - making.
About the role
- Data Analyst joining Data Squad at Stay22 to contribute to data insights for decision-making. Collaborating with cross-functional teams to enhance data pipelines and business intelligence.
Responsibilities
- Collaborate with the Neuro Squad on analysis and experimentation to evaluate and guide initiatives aimed at improving ML models
- Collaborate with the Integrations Squad to validate partner integration data, ensure data accuracy and consistency in reports, and align with the Supply team and other stakeholders
- Work with cross-functional teams to understand data needs and provide analytical and technical expertise
- Identify, analyze, and interpret trends and patterns in complex datasets to support strategic decision-making and uncover growth opportunities
- Present insights and recommendations to key stakeholders, translating data into concrete actions
- Identify, coordinate, and support A/B tests and experimentation initiatives
- Create, maintain, and evolve dashboards to ensure company-wide visibility and alignment on key metrics
- Train and mentor teams to enable them to perform their own analyses and make data-driven decisions
- Contribute to defining and improving instrumentation, tracking standards, and naming conventions to ensure data consistency and reliability
- Ensure data accuracy, quality, and integrity by implementing validation (QA) processes
Requirements
- Strong proficiency in English is required for daily communication with international colleagues.
- Bachelor's degree in computer science, information management, statistics, or a related field
- 3–5+ years of experience as an analyst (analytics, data science, BI, strategy, or insights)
- Excellent proficiency in SQL
- Strong experience in data visualization using Looker
- Strong command of data analysis and visualization tools (Excel, Google Sheets, etc.)
- Advanced knowledge of Python
- Good understanding of statistical modeling and machine learning techniques (hypothesis testing, regression, logistic regression, random forest, etc.)
- Experience with experimentation and A/B testing
- Strong ability to generate insights and make business recommendations
- Excellent communication skills to simplify complex concepts for non-technical stakeholders
- Comfortable working in an ambiguous and fast-moving environment
- Ability to manage multiple priorities and coordinate resources
Benefits
- Health and dental insurance
- Retirement plan
- Training
- Professional development
- Social activities
- Company retreats
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Customer Success & Data Analyst responsible for operational management of survey projects and statistical analysis for clients. Collaborating with internal teams to enhance employee experiences in various organizations.
Data Analyst working at Ki to support analytics, data models, and drive strategic business goals. Collaboration in an agile team for data - driven product optimization.
Senior Data Analyst developing and maintaining BI solutions at Heartland Business Systems. Collaborating with clients to enhance their data strategy and improve business processes.
Senior Data Analyst in IT at ICEYE enhancing analytics and reporting to drive actionable insights across teams. Focusing on governance and self - service for decision - making efficiency.
Data Analyst focusing on advertising analytics for Allegro. Working with large datasets to inform business decisions and drive growth.
Data Analyst creating data - driven solutions to enhance sales and advertising at Allegro. Working with cloud environments, data analysis, and stakeholder collaboration.
Senior Data Analyst turning complex commercial data into clear business insights for Lyka, Australia's pet wellness company. Collaborating with teams to enhance revenue, ROI, and forecasting.
Data Analyst for retail client within AI, Analytics & Data department. Drive data - driven decisions for performance optimization and customer insights in digital channels.
Werkstudent für Datenanalyse bei innovativen Verpackungslösungen und der Rekonditionierung von IBCs. Füllguterkennung verbessern durch Auswertung der Inspektionen und enge Zusammenarbeit.