Data Analyst
5 days ago
About the Role
The Data Analyst - Product will be a key member of the Data Analyses & Data Science team, working closely with Product Managers, Engineering, and other stakeholders to derive actionable insights that drive business growth. This role will report to the Director of Product Operations and will play a critical role in supporting and developing the overall Data Analysis capabilities for the Product team.
Key Responsibilities
- Gather, consolidate, and analyze data from diverse sources and systems to inform business decisions.
- Ensure data accuracy, reliability, and consistency through rigorous validation and documentation practices.
- Develop and maintain dashboards and reports to track key product metrics, providing actionable insights to stakeholders.
- Analyze data and proactively derive actionable insights through quantitative analysis and statistical techniques.
- Extract insights related to user behavior, product usage, and performance metrics, driving business growth and product improvements.
- Develop and implement new metrics for measuring business performance, recommending new reports as needed.
- Manage projects efficiently by prioritizing thorough discovery, gathering precise requirements, and clearly defining problem spaces.
- Effectively manage stakeholders by providing frequent progress updates and distilling results into concise presentations.
- Maintain proficiency within the data analysis domain by staying up-to-date with technology and trend shifts.
- Develop and maintain a deep understanding of Appcast's programmatic job advertising software and industry to effectively work on all aspects of data analysis.
- Lead and execute ad hoc projects as needed.
Requirements
- Advanced analytics skills, knowledge of statistics, SQL, Excel, and Python.
- Fluency with data visualization tools (primarily Tableau).
- Proven ability to translate data into actionable insights that drive business growth.
- Exceptional communication and teamwork skills.
- Project management skills, ability to ramp-up on projects quickly.
Education and Experience
- Bachelor's degree or Post-Secondary Diploma in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics) or equivalent experience.
- 3+ years of experience in a similar data analysis position.
Travel Requirements
- Travel for this position may include 1-2 times-a-year travel to attend internal meetings, however, this may vary based on business needs and opportunities.
Supervisory Responsibilities
- This position does not supervise others.
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