Data Analyst

About the Role

Omygon is seeking a Data Analyst to join their growing team. This role will focus on data-driven projects involving business intelligence, reporting, data management, and analytical problem-solving. You will work with structured and unstructured datasets, identify trends, maintain reporting processes, and translate data into actionable insights. The company's technology ecosystem includes AI-powered solutions, cloud technologies, software development, and digital transformation. You will collaborate with experienced data professionals, data engineers, software developers, project managers, and business stakeholders.

Key Responsibilities

• Collect, organize, clean, and analyze datasets from multiple sources to identify trends, patterns, inconsistencies, and relevant business insights.
• Write and execute SQL queries to retrieve, manipulate, join, and validate data from relational databases.
• Develop, update, and maintain interactive dashboards and recurring reports using Power BI, Tableau, or similar visualization platforms.
• Perform data validation, reconciliation, and quality checks to identify missing values, duplicates, inconsistencies, and discrepancies.
• Assist in preparing analytical reports, KPI summaries, and data-driven presentations.
• Use Python and relevant libraries such as Pandas and NumPy for data cleaning, transformation, exploratory analysis, and automating analytical tasks.
• Work with data engineers and software development teams to understand data sources, reporting requirements, and data flow processes.
• Conduct exploratory and ad-hoc analysis to investigate business questions and provide information for operational and project-level decisions.
• Maintain documentation of datasets, metric definitions, query logic, reporting procedures, and analytical findings.

Requirements & Tech Stack

• Working knowledge of SQL, including writing queries involving joins, aggregations, filtering, and data manipulation.
• Hands-on experience with Microsoft Excel, including functions, pivot tables, lookup formulas, and working with large datasets.
• Familiarity with at least one data visualization tool such as Power BI, Tableau, Looker Studio, or similar platforms.
• Basic to intermediate knowledge of Python for data manipulation and analysis, preferably using libraries such as Pandas and NumPy.
• Understanding of data cleaning, preprocessing, validation, exploratory data analysis, and basic statistical concepts.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Engineering, Business Analytics, or a related discipline.
• 0–3 years of professional experience in data analysis, business intelligence, reporting, or a related analytical function.
• Strong analytical thinking and problem-solving abilities.
• Good written and verbal communication skills.
• Ability to manage assigned tasks, maintain attention to detail, and work effectively in a remote, collaborative environment.
• Willingness to learn new technologies, adapt to evolving project requirements, and continuously improve analytical skills.