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.

Requirements:

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.
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.

What You'll Do:

Design, build, and maintain the Marketing data warehouse to ensure scalable and efficient storage of business-critical data.
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.

What We Offer:

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!