Senior Data Analytics Eng

• Role Overview:

  Design, develop, and maintain scalable analytics and reporting solutions that provide actionable insights to support data-driven decision-making. Collaborate with business stakeholders and technical teams to deliver high-quality dashboards and reporting platforms.

• Data Extraction & Transformation:

  Write complex SQL queries, stored procedures, views, and functions for extracting and transforming data from large datasets across relational and cloud-based databases (SQL Server, MySQL, PostgreSQL, Snowflake).

• Data Visualization:

  Build, optimize, and maintain interactive dashboards using Tableau, Power BI, or similar visualization tools to enable deep analytics and insights.

• Python & Automation:

  Utilize Python (and ML techniques where applicable) for data manipulation, automation of reporting processes, and integration with analytics platforms.

• Reporting Performance & Optimization:

  Continuously monitor and improve reporting system performance, ensuring scalability, data integrity, and high efficiency.

• Collaboration & Requirements Gathering:

  Work closely with business users to gather analytics requirements, define KPIs, and design actionable reporting solutions.

• Documentation & Knowledge Transfer:

  Document reporting processes, data flows, and user guidelines for seamless team knowledge sharing and system sustainability.

• Continuous Improvement:

  Stay updated with emerging technologies, best practices in data analytics, and new features in reporting tools to enhance reporting capabilities.

• Domain Knowledge (Optional but Preferred):

  Exposure to supply chain, manufacturing, or quality reporting, along with familiarity with SAP, SFDC, or Camstar reporting applications.

Mandatory Qualifications & Requirements:

• Experience:

  Minimum 5 years in data analytics, reporting, or business intelligence, preferably in manufacturing or engineering environments.

• Skills:

  SQL, Tableau, Power BI, Python, relational databases (SQL Server, MySQL, PostgreSQL), cloud databases (Snowflake, BigQuery), data visualization, data manipulation, automation, exploratory data analysis (EDA), dashboard development, reporting optimization.

• Education:

  Bachelor's degree in Computer Science, Data Analytics, Information Systems, or related field.

• Attributes:

  Strong analytical and problem-solving skills, excellent communication and collaboration skills, detail-oriented, proactive in continuous improvement.