AlphaSense is looking to hire a Data Analyst to develop data models, create reports and dashboards, and deliver insights that support strategic decision-making and business growth, ultimately contributing to the company's mission of empowering professionals with AI-driven insights and preparing for a successful IPO.
Requirements
- 3+ years of demonstrated expertise in developing and validating SQL queries for analysis, reporting, and dashboard creation.
- 2+ years of experience with data visualization tools such as Tableau, Looker, Power BI, or similar platforms.
- Experience collaborating with data engineering teams to ensure seamless data integration, pipeline development, and data quality management.
- Proficiency in translating technical questions into strategic insights at organizational levels.
- Familiarity with version control systems like GitHub
- Programming skills in Python
- Knowledge of data modeling tools such as LookML, dbt, or Dataform
Responsibilities
- Develop data models, create comprehensive reports and dashboards, and deliver insights that support strategic decision-making and business growth.
- Collaborate closely with cross-functional teams to understand their analytical needs and deliver tailored solutions that enhance operational efficiency and drive growth.
- Maintain the integrity of the company’s data ecosystem by building reliable data models, identifying data gaps, and ensuring the organization’s single source of truth.
- Support onboarding initiatives, implement new analytics systems, and identify opportunities for process improvements.
- Analyze business performance metrics and develop dashboards, reports, and key performance indicators (KPIs) that inform strategic decisions.
- Conduct deep-dive analyses to understand underlying drivers of business outcomes, providing actionable insights.
- Perform exploratory data analysis to validate hypotheses, uncover opportunities, and prioritize business initiatives.
Other
- 8+ years of experience in data analytics, with a strong understanding of business intelligence and data-driven decision-making.
- Proven ability to communicate complex data insights effectively to non-technical stakeholders through compelling storytelling and presentations.
- Strong understanding of organizational processes, needs assessment, and the ability to build custom analytics solutions accordingly.
- Growth mindset with a passion for learning, problem-solving, and continuous improvement.
- Experience in SaaS or subscription-based business models
