Data Insights Specialist

1 week ago

Belgaum, Karnataka, India beBeeDATA Full time ₹ 15,00,000 - ₹ 20,00,000

Job Role:

The Senior Data Insights Specialist will play a key role in delivering comprehensive analytics solutions across the UK and Ireland.

This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems.

Main Responsibilities & Deliverables:
  1. Create interactive dashboards and reports using Power BI and Microsoft Fabric.
  2. Perform advanced data analysis and visualisation to support business decision-making.
  3. Develop and maintain data pipelines and queries using SQL and Python.
  4. Apply data science techniques such as predictive modelling, classification, clustering, regression to solve business problems and uncover actionable insights.
  5. Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
  6. Build, validate, and tune machine learning models using tools like scikit-learn, TensorFlow, or similar frameworks.
  7. Deploy models into production environments and monitor their performance over time, ensuring consistent value delivery.
  8. Collaborate with stakeholders to translate business questions into data science problems and communicate findings clearly and effectively.
  9. Use statistical techniques and hypothesis testing to validate assumptions and support informed decision-making.
  10. Document data science workflows and maintain reproducibility of experiments and models.
  11. Support the Analytics Lead in delivering analytics projects and mentoring junior analysts.
Required Skills & Expertise:
  • Professional Certifications (preferred or in progress):
  • MICROSOFT Certified: Power BI Data Analyst Associate (PL-300)
  • SnowPro Core Certification (Snowflake)
  • Azure Data Engineer Associate
  • AWS Certified: Data Analytics – Specialty
  • 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.
Benefits & Rewards:
  • Contributes to revenue growth through data-driven client solutions.
  • Drives adoption of modern analytics tools and practices.
  • Builds strong relationships across business units and with external clients.
Work Environment:
  • Adaptable team player with excellent collaboration skills.
  • Able to work under pressure and adapt to change.

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