Senior Business Intelligence Developer

2 days ago

Mangalore, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title:

Data Scientist

About the Role:

This is a challenging opportunity to deliver cutting-edge analytics solutions across the UK and Ireland.

The successful candidate will be responsible for designing and building advanced data visualizations, creating bespoke reports using Power BI, and performing complex data analysis using Python, SQL, and R.

  • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.
  • Perform advanced data analysis and visualization to support business decision-making.
  • Develop and maintain data pipelines and queries using SQL and Python.
  • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve 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.
Requirements:

We are looking for individuals with strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.

  • Professional Certifications (preferred or in progress):
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  • SnowPro Core Certification (Snowflake)
  • Microsoft Certified: Azure Data Engineer Associate
  • AWS Certified: Data Analytics – Specialty
  • 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:
  • Drive adoption of modern analytics tools and practices.
  • Build strong relationships across business units and with external clients.
Detailed Job Description:

Please see below for the detailed job description:

Key Accountabilities & Activities:

  1. Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.
  2. Perform advanced data analysis and visualization 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, and 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 such as scikit-learn, TensorFlow, or similar frameworks.
  7. Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.
  8. Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.
  9. Use statistical techniques and hypothesis testing to validate assumptions and support decision-making.
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.
Professional Certifications (preferred or in progress):
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
SnowPro Core Certification (Snowflake)
Microsoft Certified: Azure Data Engineer Associate
AWS Certified: Data Analytics – Specialty
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.
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.
Environment:

Able to work under pressure and adapt to change.

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