About the Role
The role involves working on a defined-duration project requiring strong analytical skills, experience with data modeling, and the ability to communicate findings effectively to non-technical stakeholders.
Responsibilities
- Analyze large and complex datasets to identify patterns and trends
- Develop and maintain data pipelines for reliable information flow
- Create clear and actionable reports and dashboards
- Collaborate with project stakeholders to define key metrics
- Ensure data accuracy and integrity across sources
- Perform ad-hoc analysis as needed by the team
- Translate business requirements into data-driven solutions
- Optimize queries and improve data retrieval efficiency
- Support data validation and quality assurance processes
- Present findings to project leads with practical recommendations
- Work closely with technical and non-technical team members
- Document analytical methods and data sources
- Use statistical techniques to forecast and model outcomes
- Maintain up-to-date knowledge of project goals and KPIs
- Identify opportunities for process improvements through data
- Apply data visualization tools to simplify complex results
- Assist in defining project success criteria
- Manage data tasks within project timelines
- Ensure compliance with data handling standards
- Conduct root cause analysis on data discrepancies
Nice to Have
- Master’s degree in data science, analytics, or related field
- Experience working with unstructured or semi-structured data
- Familiarity with machine learning concepts
- Certification in data analysis or business intelligence tools
- Prior work on time-limited analytical projects
- Knowledge of A/B testing methodologies
- Experience in the tech or digital services industry
- Exposure to automated reporting systems
- Background in financial or operational analysis
- Proficiency with collaboration tools like Jira or Confluence
Compensation
Competitive project-based pay
Work Arrangement
Remote
Team
Cross-functional project team
Project Duration
This position is tied to a specific project with a defined end date. The expected duration is approximately 6 months, with possible extension based on project needs.
Application Process
Candidates must submit a resume and a brief cover letter outlining relevant project experience. Shortlisted applicants will complete a data analysis task and participate in a technical interview.
Not available
