Data Analyst

We are seeking a Data Analyst with 3-5 years of experience to join our Marketing team and play a key role in leveraging data to drive business decisions. The ideal candidate is passionate about working in a dynamic startup environment, skilled at analyzing complex datasets, and eager to deliver actionable insights that impact our growth.

Datarails is a financial planning and analysis platform that automates financial reporting and planning while enabling finance teams to continue using Excel's familiar spreadsheets and financial models.  

• Design, build, and maintain the Marketing data warehouse to ensure scalable and efficient storage of business-critical data.  
• Design, implement, and optimize ETL processes to extract, transform, and load data from various sources into data warehouses or reporting systems.
• Analyze large datasets to uncover trends, insights, and actionable recommendations to support business objectives.
• Develop and maintain dashboards, reports, and visualizations to provide stakeholders with real-time data access.
• Partner with the Marketing team to understand their needs and deliver data solutions tailored to their goals.
• Assist in defining and tracking KPIs.
• Maintain and enhance the integrity, accuracy, and quality of data.
• Identify gaps in data collection and implement strategies to improve data quality and availability.
• Use statistical techniques and machine learning models to forecast trends, measure campaign performance, and support strategic planning.
• Conduct A/B tests and other experiments to evaluate potential improvements.
• Translate analysis into clear, actionable insights to improve product performance, optimize marketing campaigns, and drive customer success initiatives.  

• Bachelor’s or Master’s degree in a relevant field such as Analytics, Statistics, Mathematics, Data Science, Computer Science, or a related analytical discipline.  
• 3-5 years of experience in data analytics, preferably in a SaaS or technology-driven environment.
• Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, SSIS, Informatica, dbt, or similar).
• Strong proficiency in SQL, Python, or R for data manipulation and analysis.
• Hands-on experience with data visualization tools like Tableau, Power BI, or Looker.
• Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, or BigQuery).
• Experience working with Salesforce or Hubspot data and integration into analytics workflows.  
• Experience in SaaS metrics and understanding of business models like ARR, churn, LTV, and CAC.
• Exposure to marketing analytics, cohort analysis, or product analytics tools (e.g., Mixpanel, Hubspot, Amplitude, Google Analytics).
• Strong communication and storytelling skills—ability to translate complex data into simple, actionable insights for non-technical stakeholders.
• Attention to detail and a commitment to delivering high-quality results.

• We offer a supportive, agile, and creative work environment with brilliant colleagues! 
• Competitive compensation, ongoing recognition, and most of all, a chance to learn, contribute, and develop your skills.
• Opportunity to join an explosive industry, a successful and growing organization, and an unmatched leadership team that is passionate about their employees!
• Most of all, we will give you fun, enthusiasm, support, a passion for healthy living, and never a dull moment!