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Data Analytics Consultant
2 months ago
BDO is seeking a highly skilled Data Analytics Consultant/ Data Engineer to join our growing client-facing team on a full-time permanent basis.
Key Responsibilities- Play a pivotal role in our delivery practice, executing on enterprise-level client engagements through various industry specializations.
- Engage directly with clients, driving the implementation and successful end-user experience of analytics solutions, ensuring timely and budget-friendly delivery.
- Design and develop industry-specific data models for client projects in sectors such as Natural Resources, Finance, Manufacturing, and Distribution, and Retail.
- Collaborate with other engineers to enhance data models and improve data query efficiency, creating complex data queries for ad hoc and exploratory analytics.
- Build real-time data capture and transformation functionality across all products, developing a technology stack for Business Intelligence and Data Warehouse.
- Clean and wrangle data, reviewing for inconsistencies and identifying opportunities to improve data collection processes.
- Develop, construct, test, and maintain architectures such as databases and large-scale data processing systems, designing and constructing highly scalable data management systems.
- Employ various languages and tools to integrate systems, building or recommending data visualization tools and business intelligence tools for swift, fact-based decision-making.
- Stay up-to-date with development technologies, both current and future, to deliver state-of-the-art Analytics solutions for customers.
- Demonstrate BDO's core values through all aspects of work: Integrity, Respect, and Collaboration.
- Understand client industries, challenges, and opportunities, with clients describing you as positive, professional, and delivering high-quality work.
- Identify, recommend, and focus on effective service delivery to clients.
- Contribute to an inclusive and engaging work environment that develops, retains, and attracts talent.
- Actively participate in the adoption of digital tools and strategies to drive an innovative workplace.
- Grow expertise through learning and professional development.
- Post-secondary education in engineering or computer science or equivalent work experience.
- Good experience working with Azure Databricks, Azure Data Factory, and Azure Data Lake.
- Strong attention to the quality of work delivered (attention to detail).
- Able to adapt quickly to changing client requirements.
- Experience with the Microsoft SQL Server Analytics stack, including Core SQL, SSIS, SSRS, and SSAS.
- Programming experience in Python.
- Experience working with SQL and NoSQL databases.
- Knowledge of Continuous Integration and Source Control systems.
- Data Visualization experience in Power BI, Tableau, or similar.
- Experience using the Apache Hadoop ecosystem to tackle 'big data' problems.
- Exposure to data science, machine learning, or statistics.
- Some experience using Docker.
- Knowledge of ETL, ELT, Lambda, and Kappa data architectures.