About Alphasense:

AlphaSense is a market intelligence and search platform used by the world's leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ research content.

Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Finland, Germany, India, and Singapore.

For more information, please visit www.alpha-sense.com 

Check out what we’ve built so far: 

1. The decision that matters -

2. India Office -

About the Team:

The Data & Analytics team works across AlphaSense to make data an asset for growth. We do that through infrastructure, process, well-modelled and documented data, analysis, and deep partnership with the business. We own and manage the data stack, consisting of Stitch, DBT, Dataform, 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: 

We are looking for a motivated and detail-oriented Junior Data analyst to join our team. 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:

• Fresher or 1+ years of experience writing SQL query
• Bachelor's degree in a relevant field such as data science, statistics, mathematics, computer science, or a related discipline.
• Must have SQL knowledge and experience working with databases
• Familiarity with data visualisation tools such as Tableau, Power BI, or similar platforms.
• Strong analytical and problem-solving skills, with attention to detail.
• Passionate about data with a business focus is a plus.
• Growth Mindset practitioner - ability and passion to be challenged, fail fast, learn, and grow.
• Demonstrate proficiency at telling a story with data.
• Understanding of the industry preferred (consulting, sales, marketing, operations, finance, product, etc.)
• Good communication skills, both written and verbal, with the ability to explain technical concepts to non-technical audiences.
• Willingness to learn new tools and technologies in the data analytics field.