Mainz Brady Group
Mainz Brady Group is hiring: Senior Data Analyst in Beaverton
Mainz Brady Group, Beaverton, OR, United States
Data Analyst
About the Role: We're seeking a
Data Analyst
to drive insights and support strategic decision-making across consumer and commercial analytics. You'll work closely with stakeholders to develop sustainable data solutions, validate KPIs, and deliver actionable recommendations. This role is key to transforming raw data into meaningful insights while ensuring data quality, governance, and efficient processes.
Key Responsibilities: Collaborate with stakeholders to understand requirements and provide tailored data solutions. Develop SQL queries, data visualizations, and scalable analytics to support reporting and ad-hoc analysis. Validate and measure business performance through key performance indicators. Identify trends, correlations, and patterns using data mining and statistical analysis. Ensure data quality and governance from ingestion to documentation. Automate workflows and optimize existing processes. Monitor and communicate data anomalies, translating complex insights into business-relevant terms. Evaluate new tools and technologies for high-volume data processing. Preferred Qualifications:
Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data governance and quality standards. Experience with data mining, predictive analytics, and statistical modeling. Ability to monitor and improve data pipelines and analytics processes. Excellent communication skills for translating technical insights into business impact.
About the Role: We're seeking a
Data Analyst
to drive insights and support strategic decision-making across consumer and commercial analytics. You'll work closely with stakeholders to develop sustainable data solutions, validate KPIs, and deliver actionable recommendations. This role is key to transforming raw data into meaningful insights while ensuring data quality, governance, and efficient processes.
Key Responsibilities: Collaborate with stakeholders to understand requirements and provide tailored data solutions. Develop SQL queries, data visualizations, and scalable analytics to support reporting and ad-hoc analysis. Validate and measure business performance through key performance indicators. Identify trends, correlations, and patterns using data mining and statistical analysis. Ensure data quality and governance from ingestion to documentation. Automate workflows and optimize existing processes. Monitor and communicate data anomalies, translating complex insights into business-relevant terms. Evaluate new tools and technologies for high-volume data processing. Preferred Qualifications:
Proficiency in SQL and data visualization tools (e.g., Tableau, Power BI). Strong understanding of data governance and quality standards. Experience with data mining, predictive analytics, and statistical modeling. Ability to monitor and improve data pipelines and analytics processes. Excellent communication skills for translating technical insights into business impact.