About AlphaSense: 

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Data & Analytics team works across AlphaSense to make data an asset for growth. We do that through infrastructure, process, well-modeled and documented data, analysis, and deep partnership with the business. We own and manage the data stack, consisting of Fivetran, Stitch, dbt, BigQuery and Tableau. In addition to technical leadership, we partner across departments to raise the analytics bar, drive operational improvement, and support growth. Our work spans BI dashboards for business and executive users, ML models for critical business challenges, and data & infrastructure to support our AI engineers. 

About the Role: 

This Data Analyst will be a critical member of the team as we build data models, reporting and dashboards, and deliver deep insights aimed at accelerating the growth of the company on our way toward a successful IPO. This role will partner with people across the company (Product Engineering, AI Research, Content, Sales, Revenue Operations, Marketing, Finance, etc.) to tackle key strategic, operational, and technical initiatives while building systems that will help us scale.

Who You Are:

If you excel at anticipating and keenly understanding the needs of your stakeholders, delivering tailored, impactful solutions, transforming complex data into meaningful insights, and have strong expertise in SQL and data visualization, we'd love to talk to you! This role is ideal for someone who thrives in environments that require critical thinking and proactive problem-solving, enjoys collaborating across teams, has a knack for simplifying complex concepts, and is eager to take ownership in driving impactful data-driven decisions within a dynamic and evolving business landscape.

The minimum qualifications for this role include: 

• 8+ years of experience in data analytics, which may include formal education.
• 3+ years of demonstrated experience developing and validating SQL queries to support analyses, reporting, and dashboards, with the ability to derive insights and craft strategies or narratives from large and complex data sets.
• 2+ years of applied experience in data visualization software such as Tableau, Looker, PowerBl, or another data visualization tool, with demonstrated proficiency creating compelling narratives and presentations that convey complex data insights to a non-technical audience (i.e., storytelling with data).
• Experience collaborating closely with data engineering teams, ensuring seamless data integration, pipeline development, and maintaining data quality for analytical purposes.
• Experience collaborating deeply across an organization to understand department process, needs, and goals, and building custom analysis/reporting to match.
• Capable of seamlessly switching “altitude” between specific technical questions and broad org-level KPIs/strategies.
• Possesses a growth mindset, with the passion to be challenged, learn from setbacks, and apply those lessons to drive business impact.

Preferred qualifications for this role include:

• Experience in the SaaS industry or working with subscription revenue business models.
• Knowledge of version control systems, such as GitHub, for managing and collaborating on data projects.
• Experience with Python for programmatic data analysis.
• Experience with data modeling tools (LookML, dbt, Dataform). 

What You’ll Do: 

• Analyze business performance and develop metrics, reports, and dashboards that inform our business strategy and drive action. 
• Exercise your creativi