Junior Data Analyst

Role Overview

We are looking for a precise and inquisitive Junior Data Analyst to aid in the collection, interpretation, and reporting of data that supports strategic business decisions. This opportunity involves collaborating with various departments to acquire, cleanse, and analyze data, uncover trends, and produce meaningful reports and dashboards. The position requires ensuring data accuracy and providing insights that enhance business performance.

Key Responsibilities

• Gather, clean, validate, and analyze datasets from diverse origins.
• Create and update reports, visual dashboards, and data presentations for decision support.
• Track KPIs and detect significant patterns or irregularities.
• Perform validation steps to maintain consistency and integrity of data.
• Offer insightful data analyses and recommendations to business units.
• Prepare both scheduled and ad hoc analytical reports for internal stakeholders.
• Work closely with cross-functional teams to comprehend reporting needs and business goals.
• Apply fundamental statistical analyses and interpret results effectively.
• Contribute to data migration, quality assurance, and process enhancement projects.
• Document definitions, methodologies, and reporting procedures comprehensively.
• Help automate reporting functions and optimize data workflows.
• Investigate and rectify data discrepancies or reporting problems.
• Keep up-to-date with advancements in data analytic tools and best practices.

Candidate Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, Information Systems, or a related discipline.
• Detail-oriented with excellent analytical and problem-solving abilities.
• Proficient in Microsoft Excel for advanced data manipulation and reporting.
• Working knowledge of SQL for querying databases.
• Basic experience with data visualization software such as Power BI, Tableau, or Looker.
• Understanding of statistical principles and analytical techniques.
• Familiarity with Python or R programming for data analysis is beneficial.
• Knowledge of relational database structures and data modeling fundamentals.
• Strong communication skills, both written and oral.
• Highly organized with effective time management skills.
• Able to juggle multiple tasks and collaborate within team environments.
• Critical thinker capable of interpreting analytic data and conveying insights clearly.
• Dedicated to ongoing professional growth in data analytics.