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Data Analyst

Yesterday

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rockITdata

Artificial Intelligence • Consulting • Technology

rockITdata is a consulting firm that specializes in providing strategic solutions and support in the areas of AI, Data & Analytics, IT Transformation, and Management Consulting. The company focuses on leveraging cloud-based and AI-driven technologies to transform customer experiences and streamline operations. Their expertise lies in serving both commercial and public sector industries, offering bespoke solutions that integrate dual-use technologies to drive business growth and enhance customer engagement. rockITdata is committed to delivering innovative solutions that empower teams and optimize customer relationships through advanced technology partnerships.

11 - 50 employees

🤖 Artificial Intelligence

📋 Description

• Collaborate with the Product Owner, stakeholders, and end users to gather and analyze data requirements • Work with data engineers to understand the technical landscape, data sources, and data flows within the organization • Translate business requirements into detailed technical specifications, including data models, data dictionaries, and ETL (Extract, Transform, Load) processes • Participate in the design and implementation of data pipelines, data warehouses, and data marts • Assist in the development of data quality and validation procedures • Support the testing and validation of data solutions, ensuring data accuracy and integrity • Conduct in-depth analysis of complex datasets to identify trends, patterns, insights, and improvement opportunities and potential solutions • Develop and maintain comprehensive data dictionaries and mappings • Design conceptual, logical, and physical data models to support business needs • Create and maintain Entity-Relationship Diagrams (ERDs) to visualize data relationships • Establish and enforce data naming conventions to ensure consistency and clarity • Utilize advanced SQL skills to query, manipulate, and analyze large datasets • Develop and optimize SQL queries for performance and efficiency • Create and maintain data validation scripts to ensure data quality • Participate in agile ceremonies, such as Sprint planning, backlog refinement, and Sprint reviews • Work with our clients and data engineering team to create features and user stories that align with business goals and product vision • Maintain regular communication with clients to provide updates, gather feedback and address their expectations

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field • 3+ years of proven experience as a Data Analyst, with a strong emphasis on data modelling and SQL • Strong understanding of data engineering principles, data warehousing, data modeling, and ETL processes • Proficiency in SQL and data analysis tools • Experience working with Agile methodologies • Excellent analytical, problem-solving, and communication skills • Ability to work independently and as part of a team

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work arrangements • Paid time off • Professional development opportunities

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