About the job
About This Role:
Join our dynamic team at tyme as a Data Analyst, where your passion for numbers and insights will drive strategic decisions. In this pivotal role, you will collaborate with diverse teams across the organization, addressing their inquiries, diving deep into data, and translating your discoveries into actionable recommendations.
Your primary focus will be on data analysis and storytelling, but your technical expertise will be crucial in developing reliable datasets, enhancing reporting processes, and ensuring data accuracy and usability. By doing so, you will contribute significantly to fostering a data-driven culture, making information accessible, and empowering your colleagues to utilize data confidently.
Key Responsibilities
Data Exploration & Modeling
- Gather, cleanse, and analyze data from various sources to fulfill business requirements.
- Develop and sustain essential analytical datasets and reports for cross-functional teams.
- Guarantee data accuracy, consistency, and reliability through validation and quality assurance measures.
- Utilize statistical and analytical methods to identify trends and opportunities.
Business Partnership & Strategic Analysis
- Work closely with business stakeholders to comprehend their needs and provide actionable insights.
- Perform comprehensive analyses on customer behaviors, product usage, and market trends.
- Convert complex data findings into clear, impactful recommendations for business strategies.
- Facilitate data-informed decision-making across marketing, operations, finance, and product teams.
Analytics
- Construct dashboards and KPI tracking tools to evaluate business performance.
- Design and implement experiments (e.g., A/B testing) to assess initiatives.
- Effectively communicate insights to both technical and non-technical audiences.
Team Development & Knowledge Sharing
- Encourage data literacy by assisting colleagues in understanding and utilizing analytical tools.
- Share best practices in data analysis, visualization, and reporting.
- Contribute to documentation and training to elevate organizational analytics maturity.
- Allocate time for cross-departmental projects that strengthen company-wide data capabilities.

