BA: Databricks Business Analyst 

• this is NOT a data analyst role** person will need to be a have true Business Analyst / Product owner skill set.
  
  

Thank you!

Job: BA: Databricks Business Analyst

Location: 100%Remote

Term: 8-12+ months contract

Top Skills

• Databricks - look at the data and sources. Write specks. Field names, description, data type.
• Experience with DataBricks. How to work with data and understand how DataBricks as a platform works.
• Understands how did the data get there, does this look right, etc.
• Help identify and map correct data field names, descriptions and data types.
• SQL queries. Data visualization. PowerBI. Databricks.
• SAP Data experience a major plus.
• 7+ years of experience as a Business Analyst, strongly emphasizing data product development.
• Experience working on Azure Databricks project- gathering requirements, developing acceptance criteria, etc. as a Business Analyst or Product Owner (this is NOT a data analyst role)
• Experience in projects with data quality/ data validation
• Experience with SQL
  
  

Notes From Call With HM

most important factor - guiding customer through definition of a new product.

Sr. BA role not just document requirements but be able to come up with the product definitions and genuinely help translate technical needs into requirements.

product definition transferred into the data domain

Ideally some experience in product owner role in the data domain

agile product owner writes user stories for the product.

product owner understand what the customer is trying to achieve.

Job Summary

As a Senior Business Analyst, you will be instrumental in developing our data products. This role involves developing a framework for defining data products and leading the requirements-gathering efforts. You will be directly responsible for working with the data owners to identify source systems, map/transform rules, define validation/data quality rules, and design the acceptance criteria for data products.

Key Responsibilities

• Framework Development: Develop and implement a comprehensive framework for data product development, focusing on requirements gathering, analysis, and validation.
• Requirements Gathering: Lead the identification of source systems and define mapping/transformation rules. Collect, analyze, and document business requirements for data-driven projects, ensuring alignment with business goals.
• Data Analysis and Modeling: Collaborate with data scientists and engineers to establish and validate data models, ensuring they meet business needs. Provide insights based on data analysis.
• Validation and Data Quality: Define and implement data validation and quality rules to ensure the accuracy and integrity of data products.
• Designing Acceptance Criteria: Responsible for developing the acceptance criteria for data products, ensuring they meet the required standards and specifications before release.
• Stakeholder Management: Serve as the primary contact between business units and technical teams, facilitating clear communication and understanding of requirements, timelines, and deliverables.
• Continuous Improvement: Continuously seek opportunities to improve processes and strategies in data product development for enhanced efficiency and effectiveness.
  
  

Required Skills And Qualifications

• Bachelor's or Master's degree in Business Administration, Computer Science, Data Science, or related field.
• 7+ years of experience as a Business Analyst, strongly emphasizing data product development.
• Experience working on Azure Databricks project- gathering requirements, developing acceptance criteria, etc. as a Business Analyst or Product Owner (this is NOT a data analyst role)
• Experience in projects with data quality/ data validation
• Experience with SQL
• Expertise in data analysis, modeling, and data quality assurance.
• Proficient in requirement-gathering techniques, particularly for data projects.
• Excellent communication skills, capable of engaging with both technical and non-technical stakeholders.
• Experience in project management and stakeholder management.
• Knowledge of Agile methodologies and data-driven project environments.
  
  

Preferred Skills

• Leadership experience in a data analytics team.
• Understanding of Data As A Product paradigm, Data Fabric and advanced data analytics.
• Prior exposure SAP R3, SAP Datasphere, Databricks, Azure Data Factory, Azure Datalake Storage HIGHLY preferred
• Relevant certifications in Business Analysis and agile methodologies for requirement definition.