Senior Business Intelligence Analyst

20 hours ago

Palakkad, Kerala, India beBeeAnalysis Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Analytics Role Summary

A data-driven professional is sought after to spearhead analytics initiatives and collaborate with cross-functional teams. This role focuses on leveraging analytical expertise to deliver actionable insights, driving business growth through data analysis.

About the Job

The Analytics Engineer will play a pivotal role in designing, developing, and maintaining our data infrastructure. Working closely with data scientists, analysts, and stakeholders ensures data integrity, robust data pipelines, and insightful analytics solutions.

Key Responsibilities:

  • Data Management & Collaboration (40%):
  • Understand data needs from various stakeholders.
  • Analyze and interpret data to identify trends, opportunities, and areas for improvement.
  • Translate Business Requirements into functional requirements.
  • Create project scope documentations to keep project teams aligned.
  • Collaborate with cross-functional teams to integrate analytics insights into operational processes.

Data Modeling (30%):

  • Develop and maintain data models to support analytics and reporting.
  • Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics.
  • Collaborate with stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs.
  • Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards.

Data Quality Management & Governance(20%):

  • Implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data.
  • Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences.
  • Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data.
  • Provide training and support to team members on data quality best practices and validation procedures.

Project and Team Management (10%):

  • Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards.
  • Coordinate cross-functional project teams including data engineers, analysts, and stakeholders to achieve project objectives.
  • Develop detailed project plans, resource allocation strategies, and risk mitigation plans for analytics initiatives.
  • Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies.
  • Facilitate project status meetings, manage deliverable timelines, and communicate progress updates to senior leadership and clients.
  • Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures.
  • Identify and resolve project bottlenecks, resource constraints, and technical challenges to ensure successful project completion.

Qualifications and Skills

Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field.

Experience: 6+ years of experience in analytics.

Technical Skills:

  • Proficiency in SQL and database technologies.
  • Core expertise with dbt (data build tool).
  • Experience with data pipeline tools (e.g., Apache Airflow).
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud).
  • Knowledge of Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI).

You are a detail-oriented individual with excellent communication skills. You have a strong passion for analytics and data-driven decision-making.

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