Business Intelligence Engineer

A Client is looking for a Business Intelligence Engineer in the Seattle, WA area. You will be working with this e-commerce giant's B2B marketing teams to help drive customer insights and reporting. You will be working within an AWS database helping to identify which marketing channels are driving value and how the marketing team can help target customers more effectively. The ideal candidate will have a business focused background, Is eager to understand the business and insights behind the numbers; considers him / herself a co-owner of the project / business, and excellent communication skills.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy : .

• Degree in Computer Science, Mathematics, Statistics, or related field;
• 5+ year of experience in business intelligence and statistical analysis role;
• Experience with SQL / Python / VBA;
• Power user with Tableau / PowerBI or other BI tools;
• Proficiency in MS Excel;
• Experience in building relational databases, reporting / BI platforms or leveraging statistics for data analytics;
• Experience in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.);
• Creation and ownership of metrics / reporting / dashboards / financial models for the different Business reviews cycles;
• Participation in recurring performance reviews with leadership teams, owning one or multiple KPI's or improvement areas including customer returns and bad debt / payments;
• Work on various analysis and benchmarking exercises to highlight new areas for opportunities, socializing and driving best practice and insights across the operational teams;
• Strong team player and the ability to work in a diverse environment with people in various locations; Excellent verbal and written communication skills;
• Impeccable attention to detail, passion for processes, systems and data mining;
• Excellent listener, quick learner, and able to handle ambiguity;

Ability to work independently in a fast-paced and rapidly changing environment.

Ability to work independently in a fast-paced and rapidly changing environment.