BI Engineer

Are you a data rockstar who thrives on building interactive dashboards and empowering others with data-driven insightsDo you speak fluent SQL and business, translating complex problems into user-friendly solutionsIf so, we want to hear from you!

The Opportunity

We're searching for a passionate Analytics Engineer to join our growing team

You'll be instrumental in building a robust self-service analytics environment, enabling business users to access and analyze data independently

This means less time building pipelines and more time crafting intuitive dashboards, reports, and data models that guide strategic decision-making

Responsibilities

Design, develop, and implement data-driven solutions that support the democratization of data

Translate business requirements into actionable user stories and semantic models

Design and develop highly scalable assets using tools like Power BI, MicroStrategy, Oracle Analytics Cloud, or similar industry-leading platforms

Collaborate with stakeholders across all levels to understand needs and translate them into impactful elements of the model

Build effective dashboards and reports to facilitate insight

Implement best practices for data quality, governance, and security within a centralized BI environment

Document data models, processes, and dashboards comprehensively for easy understanding and self-service access

Contribute to a culture of enablement through training, user experience modeling, process mapping, etc,

Collaborate with other members of the data team to ensure the success of projects

Stay up-to-date on emerging analytics trends and technologies, proactively proposing innovative solutions

Qualifications

3+ years of experience as an Analytics Engineer or similar data-focused role

Deep understanding of semantic models and data modeling concepts

Proficiency in SQL and experience with data warehousing technologies like Snowflake

Proven ability to build interactive dashboards and reports using Power BI, MicroStrategy, Oracle Analytics Cloud, or similar tools

Excellent communication and presentation skills, adept at explaining complex data to both technical and non-technical audiences

Collaborative and consultative approach to problem-solving, focusing on enabling self-sufficiency

Strong attention to detail and commitment to maintaining high data quality standards

Passion for data and its potential to drive business impact