Marketing data analyst Jobs in Portland, OR

Experienced, humble, curious data aficionado. As a Senior Data Analyst, you will need to have solid experience discovering, analyzing, summarizing, cleaning, and documenting data. This Senior Data Analyst role is responsible for investigating data related processes, analyzing data, discovering requirements, translating requirements into actionable activities for the project team, and identifying opportunities for improvement in process, data, or quality. You will work with clients within a project engagement to support their business and technology needs, by understanding their data and documenting data platform requirements. In return, we offer an exciting position at a rapidly growing consulting company and the opportunity to make a difference for our clients and employees.

Check out the role overview below If you are confident you have got the right skills and experience, apply today.

What you will do

You will work on various Big Data, Data Warehouse and Analytics projects for our world class clients. In addressing complex client needs, you will work as part of appropriately sized and skilled teams. You may experience a solo project, be a part of a team with a project manager, a data engineer and a report developer, or part of an even larger team. This will give you the opportunity to interact with clients, analyze and document requirements, provide input into the features and design of data and analytical solutions, and execute as part of the project team. You will primarily be working with the latest Microsoft technologies, including Azure, Fabric, Dynamics 365, and Power BI.

Your Duties and Responsibilities

• Analyze data processes to understand, document, and revise those processes
• Analyze, clean, and study data to achieve specific project outcomes, to be defined for each project
• Lead discovery, requirements gathering, and analysis sessions with clients to understand data needs and translate them into team actions to develop data solutions
• Work within a project team, typically consisting of 3 – 5 people to execute client data projects
• Establish patterns and practices for data analysis, transformation, cleansing, and requirements translation
• Identify data governance policies and procedures to ensure data confidentiality, integrity, and availability
• Stay current on emerging technologies and trends and recommend improvements to the organization's data management and analysis capabilities

What you must have to be considered

What would be nice for you to have

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