Project descriptionThis project aims to leverage a hybrid professional with a strong foundation in both data analytics (70%) and business analysis (30%). The role focuses on optimizing data processes, building efficient pipelines, and translating data insights into actionable business strategies for stakeholders.Responsibilities
Data Analysis and Engineering (70%): ETL Development: Design, develop, and optimize ETL processes to ensure smooth data flow from source to target systems, leveraging tools like SQL, Informatica, and Spark. Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs. Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations. Source to Target Mapping: Work closely with the data engineering team to map data from various sources to target systems, ensuring accurate data transformations and alignment with business logic. Business Analysis (30%): Stakeholder Engagement: Collaborate with business stakeholders to understand their requirements, translate complex data insights into clear, actionable business language, and present meaningful reports. JIRA Management: Utilize JIRA for project tracking and documentation of business requirements, ensuring efficient communication and tracking of tasks, issues, and enhancements. Data-Driven Decision Making: Use data insights to guide business decisions, helping stakeholders to make informed choices backed by accurate data analysis.
SKILLSMust have
70 % Data Analyst and 30 % Business Analyst (Mix of DA and BA role)
ETL and Data engineering background – SQL, Informatica, Spark, Rest APIs
How to translate data from source to target, Data profiling
Knowledge of Real-time data pipelines
Translate the data into business language to present to stakeholders
Nice to have
Familiarity with Agile or other project management methodologies.
Expected salary
Location
London
Job date
Sat, 26 Oct 2024 04:37:09 GMT
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