Analytics Specialist

4 days ago


Lahore, Punjab, Pakistan Confiz Limited Full time

About the Role

We are looking for a talented Data Analyst to join our team at Confiz Limited. In this role, you will work closely with our data engineering and analytics team to design, develop, and implement data-driven solutions that drive business growth and success.

Responsibilities:

  1. Collaborate with cross-functional teams to gather business requirements and translate them into actionable data engineering solutions.
  2. Clean, transform, and validate large datasets for integrity and accuracy, ensuring high-quality data is delivered to stakeholders.
  3. Develop interactive reports and dashboards using tools like Excel or Power BI to visualize insights and drive business decisions.
  4. Work with data pipelines on Big Data platforms to process, transform, and analyze complex data sets for a telecommunications organization.
  5. Assist in designing and implementing data workflows and automating data extraction processes to improve efficiency and reduce manual errors.
  6. Contribute to process improvement and innovation in analytics and data engineering practices to stay ahead of the curve.
  7. Implement and adhere to data quality and governance standards to ensure compliance with organizational policies and best practices.
  8. Identify and resolve data quality issues by applying advanced data governance techniques and best practices.
  9. Stay updated with emerging trends and technologies in data engineering, Big Data, and advanced analytics to drive business growth and success.

Requirements

  1. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
  2. Strong interest in pursuing a career in data engineering and analytics, particularly on Big Data platforms.
  3. Self-starter with a high level of motivation and drive to excel in a dynamic environment.
  4. Basic proficiency in SQL for data querying and manipulation.
  5. Familiarity with at least one programming language, such as Python for data manipulation and analysis.
  6. Understanding of data visualization tools like Power BI, or similar platforms.
  7. Knowledge of Big Data technologies (e.g., Hadoop, Spark).
  8. Strong problem-solving skills, attention to detail, and ability to manage multiple tasks effectively.
  9. Excellent communication skills for presenting and collaborating with technical and non-technical stakeholders.
  10. Eagerness to learn and adapt quickly to new tools, technologies, and challenges.


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