Data Analyst

About the Job We are looking for a Data Analyst to join our growing team at Omygon and contribute to data-driven projects involving business intelligence, reporting, data management, and analytical problem-solving. This role will focus on working with structured and unstructured datasets, identifying meaningful trends, maintaining reliable reporting processes, and translating raw data into insights that support business and operational decisions. At Omygon, our technology ecosystem spans AI powered solutions, cloud technologies, software development, and digital transformation. As part of the team, you will work alongside experienced data professionals, data engineers, software developers, project managers, and business stakeholders to support analytical initiatives across different business functions. You will have opportunities to work with modern data tools, contribute to ongoing projects, and strengthen your understanding of how data supports real world business requirements. The ideal candidate is someone with a solid foundation in data analysis, a practical understanding of SQL and visualization tools, and an interest in exploring data to solve business problems. We value individuals who are detail oriented, open to feedback, comfortable collaborating with different teams, and motivated to continuously develop their technical and analytical capabilities. 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 to support reporting and analytical requirements. Develop, update, and maintain interactive dashboards and recurring reports using Power BI, Tableau, or similar visualization platforms to track business metrics and performance indicators. Perform data validation, reconciliation, and quality checks to identify missing values, duplicates, inconsistencies, and discrepancies, coordinating with relevant teams to address identified issues. Assist in preparing analytical reports, KPI summaries, and data-driven presentations that communicate findings in a clear and understandable manner. Use Python and relevant libraries such as Pandas and NumPy for data cleaning, transformation, exploratory analysis, and automating repetitive analytical tasks. Work with data engineers and software development teams to understand data sources, reporting requirements, and data flow processes, supporting improvements to data accessibility and reliability. Conduct exploratory and ad-hoc analysis to investigate business questions, recognize emerging patterns, and provide useful information for operational and project-level decisions. Maintain appropriate documentation of datasets, metric definitions, query logic, reporting procedures, and analytical findings to support consistency and knowledge sharing. 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. 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. Strong analytical thinking and problem-solving abilities, with the ability to interpret data and identify inconsistencies or meaningful patterns. Good written and verbal communication skills, with the ability to present analytical findings and collaborate with technical and non-technical stakeholders. 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. Join Omygon and be part of a team building technology driven solutions through data, innovation, and collaboration. Show more Show less