2025-7570Data Analyst Junior
2025-7570Data Analyst Junior
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1 Vacancy
Job Description
- Automation Initiatives: Identify opportunities and lead efforts to automate IA and SOX activities with an orientation towards reducing manual effort and enhancing coverage and accuracy.
- Data Analytics & Insights:
- Utilize data analytic tools programming languages and big data technologies to identify extract transform and analyze complex datasets for audit and SOX purposes.
- Identify trends patterns and anomalies and translate these insights into actionable recommendations for the IA team and / or stakeholders.
- Data Visualization: Design and create compelling data visualizations to facilitate decisionmaking and communicate findings effectively for both technical and nontechnical audiences.
- Modeling & Forecasting: Apply statistical and machine learning techniques to build predictive models.
- Training & Knowledge: Stay current with the latest analytics trends tools and best practices.
- AdHoc Analysis: Respond to requests for specific analyses as needed.
- Team Collaboration: Partner with IA team members and other stakeholders across the organization to understand their analytics needs and deliver tailored solutions.
Qualifications :
Required Skills:
- Experience with Power BI and SQL
- Strong analytical mindset with excellent problemsolving abilities and keen attention to detail.
- Proactive mindset for innovating new solutions improving existing approaches and challenging status quo.
- Collaborative team player with a commitment to achieving excellence.
- Strong written and verbal communication skills.
Desired Skills:
- Experience with Alteryx Snowflake or programming languages such as Python.
- Experience with data engineering and the architecture of ETL processes data pipeline development and data management.
- Experience with business analysis including stakeholder engagement identifying requirements and recommending solutions.
- Familiarity or experience working within Agile environments.
- Previous insurance industry experience ideally within a global firm
- Willingness and ability to adapt to new circumstances information and challenges
Additional Information :
- Bachelors degree in Data Science Statistics Computer Science or a related field with meaningful coursework in research methods statistics programming or a related field.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
