Data Analyst (Power BI) - Wizeline

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities:

• Build dynamic, insight-driven Power BI dashboards with advanced DAX and custom KPIs.
• Use Power Query for data transformation, cleansing, and model preparation.
• Apply strong data modeling practices (star schema, relationships, hierarchies) for scalable reporting.
• Write and optimize SQL queries across multiple platforms (SQL Server, Snowflake, Databricks, etc.).
• Interpret and troubleshoot Python-based ETL scripts, ensuring data quality and consistency.
• Implement row-level security (RLS) and manage access through Power BI workspace governance.
• Translate business questions into analytical solutions and clear visual storytelling.
• Perform exploratory data analysis to uncover trends, gaps, and ensure data accuracy.

Must-have Skills:

• 2–5 years of experience building data visualizations and analyzing business datasets.
• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Statistics, or related field.
• Strong command of Power BI, including DAX, Power Query (M), Data Modeling, Row-Level Security (RLS), Bookmarks, and Tooltips.
• Proficiency in SQL across platforms such as SQL Server, PostgreSQL, Snowflake, and Databricks SQL.
• Experience with Python and ETL-related libraries: pandas, polars, json, SQLAlchemy, pyodbc, arm.
• Exposure to Python ETL frameworks or orchestration tools like Airflow, DBT, AWS Glue, Azure Data Factory (ADF), Databricks Workflows, etc.
• Strong analytical mindset with excellent problem-solving and documentation skills.
• Comfortable working in collaborative, cross-functional data teams.

Nice-to-have:

• AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. 
• Experience with enterprise-grade BI environments, including data refresh strategies and star / snowflake model optimization.
• Familiarity with data warehouse modeling and ETL monitoring dashboards.
• Knowledge of data quality, governance, and data cataloging practices.
• Exposure to cloud platforms such as Azure, AWS, or GCP.

What we offer:

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.