Power BI Developer

About the role:

As a Power BI Developer –BIs Data Visualization, you will play a pivotal role in designing and delivering exceptional business intelligence experiences that empower our organization to make data-driven decisions. You will leverage your deep expertise in Power BI, DAX, and data modeling to build interactive, high-impact dash boards and reporting solutions that tell compelling data stories. This role demands a strong visualization mindset, sharp design sensibilities, and the ability to partner closely with business stakeholders to turn raw data into insight.

A working knowledge of data engineering and cloud data platform is required to support your reporting layer.

What You'll Do:

Data Visualizations Dashboard Development:

• Design and build interactive, visually compelling Power BI dashboards and reports that bring data to life and enable confident decision-making.

• Apply strong visual design principles—clarity, hierarchy, and storytelling—to deliver dashboards that are both insightful and easy to consume.

• Drive adoption of self-service BI by partnering with business users to design intuitive, reusable reporting assets

DAX s Data Modeling:

• Develop advanced DAX measures, calculated columns, and KPIs to support complex analytical scenarios.

• Design and maintain semantic data models in Power BI (star/snowflake schemas, relationships, hierarchies) optimized for performance and usability.

• Build robust dimensional models (facts, dimensions, slowly changing dimensions) tailored to business analytics use cases and aligned with enterprise data warehouse design.

• Translate complex business logic into clean, reusable data models that support both curated and ad-hoc reporting needs.

• Implement row-level security, role-based access, and work space governance for enterprise-grade reporting.

Cross-Tool Visualization (Bonus):

• Hands-on exposure to Tableau and/or Looker is a strong plus—ability to deliver across visualization platforms as needed.

Stakeholder

Collaboration:

• Partner with analysts, product owners, and business leaders to understand reporting needs and translate the min to elegant visualization solutions.

• Conduct dashboard walkthroughs, gather feedback, and continuously iterate to improve user experience.

Supporting Data Engineering's Cloud Data:

• Write efficient SQL queries to extract, transform, and prepare data for reporting.

• Support light ETL/ELT activities—basic pipelines, data refreshes, and source integrations—to ensure reporting layers are reliable and up-to-date

• Work hands-on with cloud data platforms (Snowflake, Databricks, Azure Synapse, or Redshift) to source, model, and consume data for reporting.

• Connect Power BI to cloud data sources, optimize query folding, and design efficient data refresh strategies across Direct Query, Import, and Composite models.

• Collaborate with data engineering teams on upstream data models, transformations, and pipeline dependencies.

Performances Data Quality:

• Optimize Power BI datasets, queries, and visuals for performance and scalability.

• Apply basic data validations and quality checks to ensure trustworthy reporting outputs.

On your first day, we'll expect you to have:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, ora related field.

• 3–5 years of hands-on experience as a Power BI Developer/BI Visualization Developer.

• Strong expertise in DAX, Power Query(M), and data modeling within Power BI.

• Solid understanding of dimension all modeling concepts —star schema, snowflake schema, facts, dimensions, and SCDs.

• Exceptional data visualization skills—a proven eye for design, story telling, and dashboard UX.

• Solid SQL skills with experience working across data base systems such as SQL Server, Postgres, Snowflake, or Redshift.

• Hands-on experience consuming data from cloud data platforms such as Snowflake, Databricks, Azure Synapse, or Redshift.

• Working knowledge of ETL/ELT concepts and basic exposure to tools such as Azure Data Factory or Databricks.

• Familiarity with Python for light scripting and data manipulation.

• Basic understanding of data serialization formats like JSON, Parquet, or CSV

We'd be super…