About This Role
An Analytics Engineer is responsible for collecting, preparing, and analyzing data to support decision-making across the organization. This role focuses on ensuring data accuracy and integrity, developing reports and dashboards, and providing actionable insights to business teams. The Analytics Engineer collaborates with cross-functional units to address data needs, perform statistical analyses, and contribute to the continuous improvement of data processes and governance.
Responsibilities
- Gather data from multiple primary and secondary sources, ensuring accuracy and completeness
- Perform data cleaning, transformation, and validation to prepare datasets for analysis
- Assist in the development and maintenance of databases and data systems
- Conduct statistical analysis and data mining to identify trends, patterns, and correlations
- Support the development of analysis methodologies and techniques
- Interpret data and analyze results using statistical and analytical approaches
- Create and maintain regular and ad-hoc reports, dashboards, and visualizations
- Present data clearly and effectively using charts, graphs, and tables
- Ensure accuracy, clarity, and timeliness of reports delivered to stakeholders
- Work with Marketing, Sales, Operations, and other teams to understand data needs
- Provide analytical support and communicate findings to technical and nontechnical audiences
- Actively participate in team meetings and contribute to discussions on data use
- Identify and resolve data discrepancies to maintain quality and integrity
- Follow established data governance policies and procedures
- Document data sources, methodologies, and processes for transparency and consistency
- Stay up to date with industry trends, tools, and best practices in analytics
- Continuously improve skills in data analysis tools and programming languages
- Participate in training and development initiatives
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field
- Prior experience or internship in data analysis, data engineering, or business intelligence roles
- Familiarity with SQL and database concepts
- Exposure to data visualization tools (e.g., Tableau, Power BI, Superset)
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Strong attention to detail and commitment to data accuracy
- Ability to work independently and as part of a collaborative team
- Eagerness to learn and adapt to new technologies
