At January, we believe that every day is January 1st. That every day is a fresh start. We believe that health isn’t a place you reach, but the simple process of doing just little better than yesterday. We believe that self-improvement is a team sport.

January provides the tools and insights to take charge of one’s own health in a simple and actionable way. January aims to reduce medical costs for chronic conditions like diabetes by providing a personalized and precise health solution for people to live their best lives.

Welcome to the first day of a new beginning!
Welcome to January.

As a Data Analyst at January AI, you will play a crucial role in analyzing and interpreting data to inform strategic decision-making. Your insights will contribute to the optimization of applications, user engagement, and overall business performance.

Responsibilities:

• Data Collection and Processing:
• Design and implement data collection systems such as Amplitude and SKAN, ensuring accuracy, reliability, and efficiency
• Work closely with cross-functional teams to gather relevant data from various sources within the organization

Event Design and Implementation:

• Design and implement tracking events within the mobile applications to capture user interactions and behaviors effectively
• Collaborate with the development team to integrate event tracking into the application architecture

Data Analysis:

• Perform in-depth analysis of user behavior, app performance, and other relevant metrics
• Generate actionable insights and recommendations based on data analysis to improve user experience and business outcomes

Reporting:

• Create and maintain regular reports to track key performance indicators (KPIs) and communicate findings to stakeholders
• Develop dashboards and visualizations to facilitate data-driven decision-making processes

A/B Testing:

• Plan and execute A/B tests to evaluate the impact of changes on user engagement, retention, and other metrics
• Analyze A/B test results and provide recommendations for optimizing features and functionalities

Predictive Modeling:

• Develop and implement predictive models to forecast user behavior, identify trends, and proactively address challenges
• Collaborate with the cross functional teams, product, marketing and engineering, to integrate data-driven insights into the app development process

Requirements:

• Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science)
• Proven experience as a Data Analyst, preferably in the mobile app industry
• Proficient in data analysis tools and programming languages (e.g., SQL, Python, R)
• Strong analytical and problem-solving skills with attention to detail
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus
• Knowledge of A/B testing methodologies and predictive modeling
• Excellent communication skills to convey complex findings to non-technical stakeholders
• Ability to work collaboratively in a fast-paced startup environment