Technical Specialist

Role Overview

The Data Analyst plays a vital role in transforming raw information into meaningful insights that support strategic decisions across the organization. This position involves gathering and preparing datasets, performing analytical evaluations, and creating visualizations and reports. The role requires strong attention to detail, analytical thinking, and the ability to communicate findings clearly to both technical and non-technical stakeholders. Ideal candidates enjoy working with data, identifying trends, and using evidence to influence business outcomes.

Key Responsibilities

• Collect, clean, and organize data from multiple internal and external sources to ensure accuracy and consistency.
• Conduct data exploration and statistical analysis to identify patterns, anomalies, and actionable insights.
• Build dashboards, reports, and visualizations that support decision-making for teams and leadership.
• Develop and maintain data models, KPIs, and performance metrics used across business units.
• Write and optimize SQL queries to extract, manipulate, and analyze datasets efficiently.
• Collaborate with cross-functional teams including product, operations, marketing, finance, and engineering.
• Interpret analytical results and communicate insights in a clear, structured, and compelling manner.
• Validate data quality, perform audits, and recommend improvements to data pipelines or collection processes.
• Assist with automation of reporting processes to improve efficiency and reduce manual work.
• Support ad hoc requests for analysis, forecasting, and scenario modeling.
• Document methodologies, data definitions, and workflow processes for consistency and transparency.
• Contribute to strategic discussions by providing data-driven recommendations.

Qualifications and Requirements

• Bachelor’s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 1–3 years of experience in data analysis, business intelligence, or similar analytical roles.
• Strong proficiency in SQL and experience with relational database systems.
• Hands-on experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Familiarity with analytical programming languages such as Python or R is preferred.
• Solid understanding of statistical concepts and data modeling techniques.
• Strong problem-solving skills with the ability to work with complex datasets.
• Excellent communication skills for presenting insights in both written and verbal formats.
• Ability to manage multiple tasks with attention to detail and consistent accuracy.
• Knowledge of data governance principles and best practices.

Summary

The Data Analyst provides essential insights that guide strategic planning, improve operational efficiency, and support business growth. By combining technical skills with analytical thinking and clear communication, this role serves as a strong foundation for career paths such as Senior Data Analyst, Business Intelligence Analyst, Data Scientist, or Analytics Engineer.