Data Engineer – Analytics Specialist

5 days ago

Lucknow, Uttar Pradesh, India beBeeAnalyticsEngineer Full time ₹ 12,80,000 - ₹ 21,56,000

Job Overview

Fornax is a team of cross-functional individuals who solve critical business challenges using core concepts of analytics and strategic thinking.

We are seeking a skilled Analytics Engineer with experience in the Retail/Ecommerce domain. The ideal candidate will possess a strong blend of functional and technical expertise, working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions.

  • Stake Holder Management & Collaboration (20%):
    • Analyze and interpret data to identify trends, opportunities, and areas for improvement.
    • Analyze business needs of stakeholders and customers.
    • Translate Business Requirements into functional requirements.
    • Create extensive project scope documentations to keep project and client teams on the same page.
    • Collaborate with cross-functional teams to integrate analytics insights into the client's 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.
    • Document data lineage, business rules, and model specifications to ensure knowledge transfer and maintain data governance standards.
  • Data Quality Management & Governance (20%):
    • Develop and 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.
  • Project and Team Management (30%):
    • Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards.
    • Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies.
    • Establish and maintain project documentation standards, including technical specifications, testing protocols, and deployment procedures.

Key Qualifications

A Bachelor's degree in Computer Science, Data Science, Engineering, or related field, and 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, and experience with data visualization tools (e.g., Tableau, Power BI).

Responsibilities

Data Pipeline Development, Data Modeling, Collaboration, and Data Quality.

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