Junior Data Analyst Needed at Arms Pension

Summary

The incumbent will be responsible for turning complex data sets into actionable insights to support data-driven decision-making across the organization.

Responsibilities
  • Collect, clean, and validate data from various sources, ensuring the accuracy, consistency, and reliability of data sets.
  • Perform in-depth data analysis using advanced statistical tools and techniques to identify trends, patterns, and correlations in complex data sets.
  • Develop and maintain data models, reports, and dashboards, using data visualization tools such as Tableau or Power BI, to effectively communicate insights to stakeholders.
  • Collaborate with cross-functional teams to define key performance indicators (KPIs), understand their data needs, and develop data-driven solutions to support decision-making.
  • Design and implement data collection systems, strategies, and procedures to improve data quality and efficiency.
  • Monitor and maintain data quality and integrity by identifying and addressing inconsistencies and errors in data sets.
  • Continuously improve data analysis processes and methodologies to ensure efficiency, effectiveness, and alignment with industry best practices.
  • Stay current with industry trends, advancements in data analytics tools and technologies, and emerging data analysis techniques.
  • Mentor and provide guidance to entry-level data analysts, assisting them in developing their skills and knowledge.
  • Lead and manage data-related projects, ensuring timely delivery and alignment with stakeholder expectations.

 

Requirements
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 3-5 years of experience in data analysis or a related field, with a proven track record of delivering data-driven insights.
  • Advanced proficiency in programming languages (e.g., Python, R, SQL) and experience with data analysis tools and libraries (e.g., Excel, Tableau, Power BI).
  • Strong knowledge of statistical concepts, data analysis techniques, and machine learning algorithms.
  • Excellent analytical and problem-solving skills, with the ability to draw conclusions from complex data sets and provide actionable recommendations.
  • Exceptional attention to detail and commitment to data accuracy.
  • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
  • Strong organizational and project management skills, with the ability to manage multiple tasks and priorities simultaneously.
  • Experience working with database management systems (e.g., SQL Server, MySQL, PostgreSQL) and ETL processes.
  • A proactive and curious mindset, with a passion for using data to drive business decisions.

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