Data Analytics Expert

3 days ago

Malappuram, Kerala, India beBeeDataAnalytics Full time ₹ 15,00,000 - ₹ 20,00,000
Senior Data Analytics Specialist

The Senior Data Analytics Analyst plays a pivotal role in delivering tailored analytics solutions across the UK and Ireland. This position focuses on creating bespoke reports, developing interactive dashboards, and performing advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R.

  1. Main Responsibilities:
  • Design and build dynamic dashboards and reports using Power BI and Microsoft Fabric.
  • Perform sophisticated data analysis and visualisation to support informed business decision-making.
  • Develop and maintain robust data pipelines and queries using SQL and Python.
  • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve complex business problems and uncover actionable insights.
  • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
  • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks.
  • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.
  • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.
  • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making.
  • Document data science workflows and maintain reproducibility of experiments and models.
  • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts.
  1. Qualifications, Knowledge & Experience:
  • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
  • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue.
  • Hands-on experience in building and deploying machine learning models.
  • Ability to translate complex data into actionable insights.
  • Excellent problem-solving and communication skills.
  1. Judgement Skills:
  • Balances team development with delivery priorities and business needs.
  • Makes informed decisions on technical design, resource allocation, and delivery timelines.
  • Evaluates project outcomes and identifies opportunities for team and process improvement.
  • Encourages experimentation while maintaining delivery discipline and governance.
  1. Dimensions:

Financial:

  • Contributes to revenue growth through data-driven client solutions.

Non-Financial:

  • Drives adoption of modern analytics tools and practices.
  • Builds strong relationships across business units and with external clients.
  1. Environment:
  • Works effectively under pressure and adapts to change.

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