A Senior/Lead Data Analyst plays a pivotal role in an organization by leveraging data to provide critical insights, support data-driven decision-making, and enhance business operations. Below is a job description for a Senior/Lead Data Analyst,

Job Responsibility

Data Analysis and Insights:

  • Perform complex data analysis to uncover insights, trends, and opportunities.
  • Translate data findings into actionable recommendations for improving business strategies.

Data Strategy:

  • Develop and implement data strategies to support business objectives and goals.
  • Collaborate with stakeholders to align data initiatives with company strategies.

Data Visualization:

  • Create advanced data visualizations, dashboards, and reports to effectively communicate insights to stakeholders.

Mentorship and Leadership:

  • Provide mentorship and guidance to junior data analysts.
  • Lead the team in data-related projects and initiatives.

Data Quality and Governance:

  • Ensure data quality, accuracy, and integrity by establishing data governance standards.
  • Implement data quality assurance processes and procedures.

Predictive Modeling:

  • Develop and implement predictive models to forecast trends and support strategic decision-making.

Data Integration:

  • Oversee data integration efforts, including ETL processes, to streamline data access and analysis.


  • Collaborate with cross-functional teams to understand their data needs and provide data-driven insights.
  • Work closely with data engineers and data scientists to support data-related projects.

Continuous Learning:

  • Stay up-to-date with industry best practices, emerging tools, and technologies in data analysis.
KSAOs That You Must Have
  • Strong proficiency in data analysis tools (e.g., Python, R, SQL).
  • Expertise in data visualization tools (e.g., Tableau, Power BI).
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation skills.
  • Proven leadership and mentorship experience.
  • Experience with machine learning and advanced predictive modeling.
  • Knowledge of big data technologies (e.g., Hadoop, Spark).
  • Experience with data warehousing and ETL processes.
  • Familiarity with data quality assurance and governance.
  • Demonstrated contributions to improving data strategies and processes within an organization.
Education and Experience Requirements
  • Bachelor's or Master's degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
  • Proven experience as a Senior or Lead Data Analyst or in a similar role.
Your Remuneration and Other Benefits
  • Attractive salary as per industry best practice. Higher for the deserving ones.
  • Yearly salary review based on performance.
  • Training & Development Scopes.
  • Weekly 2 holidays.
  • 2 festival bonuses (Yearly).
  • Weekly medical consultancy.
  • Annual leave encashment.
  • Medical coverage.
  • Congenial & friendly working environment.

    November 22, 2023

Job Location
Dhaka, Bangladesh

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