Job Purpose:
The data analyst is responsible for analyzing data trends, identifying key insights, and providing actionable recommendations to improve business performance. This role involves gathering, cleaning, and interpreting data from various sources to support strategic decision-making across the organization.
Responsibilities:
- Create comprehensive reports and data visualizations to communicate findings effectively and support business goals.
- Identify opportunities for process improvements and implement data collection systems and strategies that optimize statistical efficiency and data quality.
- Perform detailed data analysis using statistical methods to identify trends, patterns, and actionable insights that drive business growth.
- Conduct ad-hoc analysis to support business queries and provide data-driven recommendations to stakeholders.
- Develop, maintain, and automate data dashboards and reporting tools to monitor Objectives and Key Results (OKRs) and support strategic decision-making.
- Collect, organize, and validate data from various sources, including internal databases, external data providers, and third-party applications.
- Collaborate with cross-functional teams to understand data requirements and provide relevant insights that support business initiatives.
- Ensure data integrity and accuracy by conducting regular audits and implementing data cleaning processes.
- Ensure compliance with data governance policies and best practices for data management, maintaining high standards of data quality and security.
- Train end-users and stakeholders on new reports, dashboards, and data visualization tools to enhance data literacy and utilization.
Requirements
- Bachelor's degree in mathematics, statistics, computer science, or a related field.
- Experience with data visualization tools such as Tableau, Power BI, Metabase, Looker or similar.
- Proven experience as a Data Analyst or in a similar role.
- Proficiency in data analysis tools such as SQL, Python, R, or similar.
- Strong analytical and problem-solving skills.
- Excellent attention to detail.
- Ability to interpret and communicate data findings effectively.
- Experience in collecting, analyzing, and interpreting large datasets.
- Ability to work in a collaborative team environment.
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