Contract Duration: 6 Months
Start date: ASAP
Location: Client location at Milton Keynes/Hybrid
Experience: 6-9 Years
Number of positions: 1
Requirements
• Proven experience as a business analyst, preferably in projects involving Azure data services.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Proficiency in data modeling concepts and experience with tools like Azure Data Factory and Azure Databricks.
• Hands-on experience with Azure data services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
• Familiarity with data visualization tools like Power BI or Tableau.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively.
• Certification in Azure data services (e.g., Azure Data Engineer Associate) is a plus.
• Strong attention to detail and a commitment to delivering high-quality results.
• Bachelors/Masters degree in Business Administration, Computer Science, Information Systems, or related field.
Responsibilities:
• Collaborate with stakeholders to gather and analyze business requirements related to data analytics, reporting, and data-driven decision-making.
• Evaluate business requirements to identify opportunities for leveraging Azure data services and provide recommendations for optimal solutions.
• Analyze and interpret data from various sources to identify trends, patterns, and insights.
• Work with data architects to design data models that align with business needs and leverage Azure data services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.
• Coordinate with data engineers to ensure seamless integration of data from various sources into Azure data platforms, ensuring data quality and integrity.
• Partner with visualization experts to create meaningful dashboards and reports using tools like Power BI, enabling stakeholders to derive actionable insights from data.
• Monitor and analyze the performance of Azure data solutions, identify bottlenecks, and recommend optimizations to enhance efficiency and scalability.
• Monitor and analyze data to ensure compliance with regulations, policies, and procedures.
• Document business requirements, technical specifications, and data governance policies to ensure clarity and maintain consistency throughout the project lifecycle.
• Serve as a liaison between business stakeholders and technical teams, facilitating effective communication and alignment of goals throughout the project.