Data Analyst (Remote)
Job Summary
This is a remote position.
- Architect build and sustain reliable data pipelines to guarantee data integrity and accessibility throughout the enterprise.
- Execute thorough exploratory data analysis to reveal hidden patterns irregularities and potential avenues for organizational expansion.
- Develop detailed visual representations and interactive reporting dashboards to effectively convey complex findings to both technical and non-technical audiences.
- Partner with product and engineering units to establish key performance indicators (KPIs) and track project performance metrics.
- Apply statistical modeling and predictive analytics to anticipate future trends and enable proactive strategic planning.
- Maintain comprehensive documentation of analytical methodologies processing workflows and reporting frameworks to ensure clarity and reproducibility.
- Regularly assess and enhance data acquisition strategies to maximize precision and relevance.
- Bachelors degree in Computer Science Statistics Mathematics or a comparable discipline complemented by 2-5 years of practical experience in data analysis.
- Advanced proficiency in SQL for complex database queries and management coupled with expertise in Python or R for data manipulation and statistical evaluation.
- Proven track record utilizing data visualization platforms such as Tableau Power BI or equivalent tools.
- Robust knowledge of data warehousing principles Extract Transform Load (ETL) workflows and big data ecosystems.
- Demonstrated capability to convert ambiguous business challenges into structured analytical solutions.
- Superior communication abilities with the talent to articulate technical concepts to varied stakeholders.
- Self-driven individual capable of independently managing multiple concurrent projects within a remote work environment.
Required Skills:
Bachelors degree in Computer Science Statistics Mathematics or a comparable discipline complemented by 2-5 years of practical experience in data analysis. Advanced proficiency in SQL for complex database queries and management coupled with expertise in Python or R for data manipulation and statistical evaluation. Proven track record utilizing data visualization platforms such as Tableau Power BI or equivalent tools. Robust knowledge of data warehousing principles Extract Transform Load (ETL) workflows and big data ecosystems. Demonstrated capability to convert ambiguous business challenges into structured analytical solutions. Superior communication abilities with the talent to articulate technical concepts to varied stakeholders. Self-driven individual capable of independently managing multiple concurrent projects within a remote work environment.