Negotiable
Outside
Remote
USA
Summary: The Business Workspaces - Product BA role focuses on the implementation of Google Cloud Platform, emphasizing data needs assessment, analysis, and product lifecycle management. The position requires collaboration with stakeholders to gather requirements, analyze data, and communicate insights effectively. The role also involves managing the development of data products and ensuring documentation is maintained for clarity and governance. This contract position is remote and targets candidates with a strong background in data analysis and business operations.
Key Responsibilities:
- Collaborate with business stakeholders to identify and define data needs through interviews, workshops, and surveys.
- Analyze large datasets to identify patterns and create data models, ensuring data quality and governance.
- Manage the lifecycle of data products from ideation to launch, including creating user stories and prioritizing the product backlog.
- Act as the primary point of contact between technical teams and business users, communicating complex data concepts effectively.
- Maintain clear documentation of data requirements, definitions, and business processes.
Key Skills:
- Strong proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
- Proven analytical skills with the ability to extract insights from complex data sets.
- Solid understanding of business operations and translating strategic goals into data requirements.
- Familiarity with machine learning concepts, statistical methods, and data engineering principles.
- Exceptional verbal and written communication skills.
- Prior experience as a Business Analyst, Data Analyst, or Product Manager in a data-centric environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Business Workspaces - Product BA Job Location: Remote (USA)
Job duration: Contract
Skills: Focused on the Google Cloud Platform implementation and consumption enablement of the BWS Specialist in Platform Design.
Requirements Gathering: Collaborate with business stakeholders across various departments to identify and define their data needs. This includes conducting interviews, workshops, and surveys to understand business problems and objectives.
Data Analysis & Modeling: Analyze large, complex datasets to identify patterns, trends, and insights. They will be responsible for creating data models, defining metrics, and ensuring data quality and governance.
Product Development Lifecycle: Manage the lifecycle of data products from ideation to launch. This involves creating user stories, prioritizing the product backlog, and working with engineers and data scientists to build, test, and deploy solutions.
Communication & Stakeholder Management:Act as the primary point of contact between technical teams and business users. They must effectively communicate complex data concepts to a non-technical audience and manage stakeholder expectations.
Documentation: Maintain clear and concise documentation of data requirements, definitions, and business processes. This ensures that the data products are well-understood and can be maintained over time.
Required Skills & Qualifications Data Expertise: Strong proficiency in SQL is essential. Experience with data visualization tools (e.g., Tableau, Power BI) and an understanding of data warehousing concepts are also highly valued.
Analytical Skills: Proven ability to analyze complex data sets and extract meaningful insights.
Business Acumen: A solid understanding of business operations and the ability to translate strategic goals into data requirements.
Technical Knowledge: Familiarity with machine learning concepts, statistical methods, and data engineering principles is a plus.
Communication: Exceptional verbal and written communication skills with the ability to bridge the gap between technical and non-technical teams.
Experience: Prior experience as a Business Analyst, Data Analyst, or Product Manager, particularly in a data-centric environment, is a key requirement.