Data Analyst
Listed on 2026-10-15
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IT/Tech
Data Analyst, Data Science Manager, Data Engineering, Data Scientist
Astrik Coders delivers production-ready technology platforms and strategic IT services to institutions and enterprises. The company focuses on applying emerging technologies through industry-aligned solutions that address real business challenges. Astrik Coders combines consulting expertise with advanced tech implementations to help clients turn innovation into measurable business advantage. Team members collaborate on impactful projects that modernize operations and drive digital transformation for diverse organizations.
Role DescriptionIn this full-time remote role, the Data Analyst will collect, clean, and interpret data from various internal and external sources to support business decision-making. Day-to-day responsibilities include building reports and dashboards, identifying trends and patterns, and providing actionable insights to stakeholders. The role involves collaborating with product, engineering, and business teams to define data requirements and translate business questions into analytical solutions.
The Data Analyst will also validate data quality, support ongoing performance metrics, and contribute to continuous improvement of data processes and tools.
- Strong Analytical Skills and experience in Data Analytics to extract insights and support decision-making.
- Solid foundation in Statistics for hypothesis testing, forecasting, and interpreting quantitative results.
- Proficiency in Data Modeling to design, structure, and optimize datasets for reporting and analysis.
- Effective Communication skills to present complex findings clearly to technical and non-technical stakeholders.
- Experience with data analysis tools (e.g., SQL, Excel, Python, R, or BI tools such as Power BI or Tableau).
- Attention to detail and a systematic approach to data validation and quality assurance.
- Ability to work independently in a remote environment and manage multiple priorities.
- Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Economics) or equivalent practical experience.
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