Lead Database Strategist

1 week ago

Lahore, Punjab, Pakistan beBeeDataEngineer Full time 1,800,000 - 2,200,000
Job Overview

We are seeking a highly skilled and detail-oriented database engineer to lead our data initiatives. In this role, you will be responsible for managing large-scale databases, developing advanced analytical solutions, building predictive dashboards, and delivering key business insights to stakeholders.

Key Responsibilities:
  • Database Design and Optimization: Design, maintain, and optimize scalable relational databases (MS SQL Server, MySQL, PostgreSQL).
  • Advanced Analytics: Write complex and optimized SQL queries, stored procedures, and scripts for analytics and reporting.
  • Data Pipelines and Warehousing: Lead the design and implementation of data pipelines, data warehousing, and ETL processes.
  • Business Intelligence and Data Visualization: Develop advanced dashboards and visual analytics using Power BI and other BI tools.
  • Statistical Modeling and Data Mining: Apply statistical modeling and data mining techniques to derive actionable business insights.
  • Predictive and Prescriptive Analytics: Perform predictive and prescriptive analytics to support strategic planning.
  • Collaboration and Communication: Collaborate with department leads (e.g., marketing, finance, operations) to translate business needs into data solutions.
  • Quality Assurance and Security: Ensure data governance, accuracy, and compliance with quality standards. Monitor system performance and conduct regular audits for database security and integrity.
  • Team Leadership and Mentorship: Mentor junior analysts and contribute to building a data-driven culture.
Requirements
  • Bachelor's or Master's in Computer Science, Data Science, Statistics, or related field.
  • 7–8 years of hands-on experience in data analytics, business intelligence, or database development.
  • Advanced SQL proficiency with a strong understanding of RDBMS performance tuning and optimization.
  • Proficiency in Power BI (DAX, data modeling, report design) and/or Crystal Reports.
  • Experience with SSRS, SSIS, and ETL frameworks.
  • Solid understanding of statistical methods, data modeling, and analytics frameworks.
  • Strong experience working with data visualization, KPI development, and executive dashboards.
  • Exposure to cloud data platforms such as Microsoft Azure is a plus.
  • Excellent problem-solving, communication, and stakeholder engagement skills.

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