Business Intelligence Analyst

November 18

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Augeo

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Workplace Engagement • Experiential Marketing • Social Activation • Customer Loyalty • Web3 Experiences

501 - 1000 employees

Founded 1978

🤝 B2B

☁️ SaaS

Description

• As a Business Intelligence Analyst, you will play a key role in shaping our data-driven culture by delivering insights that support strategic business decisions. • This role is ideal for an analytical thinker with a proactive approach to problem-solving, a passion for transforming raw data into actionable insights, and a talent for creating clear, compelling visualizations. • You will collaborate directly with stakeholders across Product, Marketing, Sales, and Operations to understand their data needs and develop tailored reporting solutions that address their unique challenges. • You’ll spend your days on the following: Extract and analyze large datasets using SQL. • Translate complex data into concise, meaningful reports. • Design interactive data products to enable quick, informed decision-making for teams. • Collaborate with the data engineering team to optimize, ensure reliability, and enhance accessibility of data sources. • Focus on accuracy and consistency to maintain the integrity of the reporting environment. • Improve scalability of business intelligence (BI) tools and processes. • Introduce best practices for data visualization and reporting automation. • Evolve BI capabilities to support the organization’s growth.

Requirements

• Bachelor’s degree in Business Analytics, Statistics, Information Systems, or a related field • 3-5 years of experience in business intelligence, data analysis, or a similar role • Advanced proficiency in SQL for data analysis, query optimization, and data modeling • Experience with Python and R are a plus! • Strong experience with Power BI (Power BI Desktop, DAX, Power Query) to build data models and proven ability to create impactful visualizations and dashboards • Strong experience with web analytics tools (i.e., Google Analytics) • Experience with tag management tools such as Google Tag Manager • Ability to gather, clean, and interpret data from multiple sources with a high degree of accuracy • Solid understanding of data warehousing concepts, ETL processes & data pipelines, and relational databases • Excellent communication skills, with the ability to translate complex analyses into clear insights for diverse audiences • Strong problem-solving skills, a high level of attention to detail, and a commitment to data accuracy and integrity • A team player who works well in collaborative environments and is comfortable working with cross-functional teams to achieve shared goals • Experience with machine learning models including linear regression, decision trees, random forests, etc. are a plus

Benefits

• Competitive salary • Comprehensive benefits package • Opportunity to work at the nexus of technology, marketing, and loyalty • Continuous learning and development opportunities