Data Scientist/Architect

$116,064 - $128,960/Yr

Aquent - Portland, OR

Full-time

Portland, OR

Administrative and Support Services

About the position

The Data Scientist/Architect role involves designing, developing, and programming methods and systems to analyze diverse big data sources, generating actionable insights for client services and product enhancement. The position requires interaction with product and service teams to identify data analysis questions and develop software programs and algorithms for data integration and evaluation.

Responsibilities

• Lead to the accomplishment of key goals across consumer and commercial analytics functions.
• Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
• Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
• Validate key performance indicators and build queries to quantitatively measure business performance.
• Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
• Develop data governance standards from data ingestion to product dictionaries and documentation.
• Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax.
• Organize and transform information into comprehensible structures.
• Use data to predict trends and perform statistical analysis.
• Use data mining to extract information from data sets and identify correlations and patterns.
• Monitor data quality and remove corrupt data.
• Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing.
• Improve existing processes through automation and efficient workflows.
• Build and deliver scalable data and analytics solutions.
• Work independently and take initiative to identify, explore and solve problems.
• Design and build innovative data and analytics solutions to support key decisions.
• Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation.
• Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

Requirements

• Advanced AirTable Skills
• Must have Marketing / Presentation-building (Keynote)
• Self Starter, Results Driven, Outcome Oriented
• Interpersonal Skills

Nice-to-haves

• Tableau Experience
• MIRO Experience
• Program/Project Management skills

Benefits

• Compensation based on education, relevant work experience, relevant certifications, and location.