Business Intelligence Data Scientist

2 days ago

palakkad, India beBeeData Full time

Job Title: Business Intelligence SpecialistAbout the RoleWe are seeking a highly skilled and technically strong Business Intelligence Specialist who can transform diverse datasets into actionable insights.This role combines programming, analytics, cloud technologies, and foundational machine learning concepts to deliver scalable data solutions that empower teams across the organization.The ideal candidate enjoys building reliable data pipelines with Python, crafting intuitive dashboards with JavaScript, writing efficient SQL, and validating workflows and product end-to-end to ensure accuracy and trust.Key ResponsibilitiesDesign, automate, and refine analytical workflows using Python/R.Translate complex data findings into clear, actionable insights through effective storytelling and strong communication.Develop business intelligence dashboards that clearly communicate key performance indicators (KPIs) and insights; familiarity with Superset is a plus.Use JavaScript to enhance interactive dashboard features or custom visual components.Write efficient, well-structured SQL for reporting, analytics, and data modeling.Implement data pipelines, including cleaning, transformation, enrichment, and schema alignment.Work with cloud platforms such as AWS or GCP to support scalable data processing and analytical tasks.Utilize clusters and VM-based compute environments to run high-volume or distributed workloads.Apply fundamental machine learning techniques to support exploratory modeling and predictive analysis.Validate data, workflows, dashboards, and analytics outputs through systematic testing to ensure reliability.Collaborate with product, engineering, and analytics teams to translate business needs into insight-driven decisions.Maintain accurate documentation and contribute to improving analytical processes, data workflows, and reporting clarity.Required Skills & QualificationsStrong proficiency in Python and its data ecosystem (Pandas, NumPy, PySpark preferred).Experience building dashboards; Superset familiarity is advantageous.Advanced SQL skills for query optimization, data modeling, and validation.Hands-on experience with data pipeline development, including cleaning and transformation.Practical knowledge of cloud platforms such as AWS or GCP.Understanding of distributed compute concepts (VMs, clusters, containers).Familiarity with basic machine learning practices and model evaluation.Proficiency in JavaScript for visualization or dashboard-related enhancements.Strong attention to detail with experience validating analytical outputs through structured testing.Curiosity, problem-solving ability, and an eagerness to learn new tools and technologies.Preferred QualificationsExperience with cloud warehouses such as BigQuery or Snowflake.Exposure to event-driven data pipelines or API-driven ingestion.Familiarity with version control systems such as Git and collaborative development workflows.Understanding of experimentation, statistical analysis, or metrics design.What We ValueA mindset that combines curiosity with precision, the ability to communicate insights clearly, and the commitment to building dependable, scalable data solutions that drive business outcomes.

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