
Data Analyst
2 weeks ago
Responsibilities Management, Analysis and Visualization :
- Create visualizations that communicate insights clearly and support business storytelling.
- Support the development and maintenance of dashboards and reports using Power BI to enable data-driven decision-making.
- Assist in integrating data from various sources (e.g., Azure, SharePoint, SQL Server, APIs) and perform ETL tasks using Power Query and DAX.
- Contribute to designing effective data models and implementing Row-Level Security (RLS) to ensure secure and personalized data access.
- Explore opportunities to apply machine learning techniques for predictive insights and anomaly detection, in collaboration with the broader analytics team.
- Work closely with stakeholders to understand reporting needs and translate them into actionable solutions.
Project Management :
- Assist the team lead in planning, executing, and monitoring data-driven projects.
- Coordinate with cross-functional teams to ensure project goals are met within timelines.
Quality Assurance :
- Develop and implement data quality control procedures to ensure data accuracy and completeness.
- Conduct regular data audits and perform root cause analysis for any data discrepancies.
- Work closely with data engineers to maintain and improve data infrastructure.
Stakeholder Engagement :
- Communicate complex data-related concepts to non-technical stakeholders in a clear and concise manner.
- Act as a liaison between the Data and Analytics Team and other departments to facilitate data-sharing and collaboration.
Continuous Improvement :
- Stay updated with industry trends and best practices in data management and analytics.
- Propose and implement process improvements to enhance team efficiency and effectiveness.
- Participate in knowledge sharing sessions to foster a culture of continuous learning and growth.
Qualifications :
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science or a related field.
Professional Experience :
- The candidate must have 4 - 6 years of relevant experience in Data analytics, BI solutioning or a related field.
Skills :
- Proficiency in Power BI and SQL.
- Solid understanding of data warehousing concepts and ETL processes.
- Experience working with PySpark and big data platforms is a plus.
- Familiarity with cloud services and basic machine learning tools.
- Strong analytical and problem-solving abilities.
- Effective communication and collaboration skills.
- Ability to manage multiple tasks and meet deadlines in a dynamic environment.
(ref:hirist.tech)
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