
Advanced Data Analytics Solutions Specialist
1 day ago
We are seeking a highly skilled Senior Data Analytics Specialist to deliver cutting-edge analytics solutions that drive business growth and improve decision-making.
This role focuses on advanced data analysis, bespoke report building, and dashboard development using industry-leading tools such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R.
- Key Responsibilities
- Data Analysis and Insights: Perform advanced data analysis and visualisation to uncover actionable insights that support business decision-making.
- Dashboards and Reports: Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.
- Data Engineering: Develop and maintain data pipelines and queries using SQL and Python.
- Predictive Modelling: Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve complex business problems.
- Feature Engineering: Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
- Model Deployment: Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks, and deploy them into production environments.
- Stakeholder Engagement: Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.
- Process Improvement: Use statistical techniques and hypothesis testing to validate assumptions and support decision-making, and document data science workflows to maintain reproducibility of experiments and models.
- Requirements
- Technical Expertise: Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
- Industry Certifications: Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), SnowPro Core Certification (Snowflake), Microsoft Certified: Azure Data Engineer Associate, and AWS Certified: Data Analytics – Specialty.
- Experience: Hands-on experience in building and deploying machine learning models, with the ability to translate complex data into actionable insights.
- Soft Skills: Excellent problem-solving and communication skills, with the ability to work under pressure and adapt to change.
- Benefits
- Personal Growth: Opportunity to develop your skills and expertise in data analytics and work with leading-edge technologies.
- Collaboration: Work with a talented team of data professionals to deliver high-impact projects and achieve business objectives.
- Innovation: Contribute to driving innovation and improving processes through data-driven insights and recommendations.
- Environment
- Culture: Join a dynamic and supportive team culture that values collaboration, innovation, and continuous learning.
- Flexibility: Enjoy a flexible working environment that allows you to balance work and personal life.
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