Business Workspaces - Product BA

Saama Technologies Inc

105d

About The Position

The position involves collaborating 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. The role also requires analyzing large, complex datasets to identify patterns, trends, and insights, creating data models, defining metrics, and ensuring data quality and governance. Additionally, the candidate will manage the lifecycle of data products from ideation to launch, which involves creating user stories, prioritizing the product backlog, and working with engineers and data scientists to build, test, and deploy solutions. Effective communication with stakeholders is crucial, as the candidate will act as the primary point of contact between technical teams and business users, translating complex data concepts to a non-technical audience. Maintaining clear documentation of data requirements, definitions, and business processes is also a key responsibility.

Requirements

• Strong proficiency in SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Understanding of data warehousing concepts.
• Proven ability to analyze complex data sets and extract meaningful insights.
• Solid understanding of business operations and ability to translate 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.

Nice To Haves

• Familiarity with machine learning concepts.
• Experience with statistical methods.
• Knowledge of data engineering principles.

Responsibilities

• Collaborate with business stakeholders to identify and define data needs.
• Conduct interviews, workshops, and surveys to understand business problems and objectives.
• Analyze large, complex datasets to identify patterns, trends, and insights.
• Create data models, define metrics, and ensure data quality and governance.
• Manage the lifecycle of data products from ideation to launch.
• Create user stories and prioritize the product backlog.
• Work with engineers and data scientists to build, test, and deploy solutions.
• Act as the primary point of contact between technical teams and business users.
• Communicate complex data concepts to a non-technical audience.
• Maintain clear and concise documentation of data requirements and business processes.

Benefits

• Equal employment opportunities without discrimination.
• Comprehensive training and development programs.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees