Staff Analytics Engineer at AlphaSense

New Delhi, Delhi, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Market Intelligence, AIIndustries

Requirements

Bachelor's (or Master’s) degree in Computer Science, Information Systems, or a closely related discipline
5+ years of experience as an Analytics Engineer
Overall solid programming skills, able to write modular, maintainable code in Python
Experience in creating data pipelines and transforming data using SQL in GCP
Experience in creating Tableau workbooks
Experience in working with AWS Services like S3, SNS, SQS, and AWS Lambda Function
Experience in Kubernetes and CI/CD Process
Experience in working with NoSQL DBs (e.g. MongoDB, DynamoDB)
Experience in working with event-driven systems
Familiarity with Agile methodologies and product development processes
Excellent communication and collaboration skills

Responsibilities

Develop R&D Analytical Data Lake for real-time data ingestion, storage, processing and analytics on BI tools
Develop and maintain data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from a wide variety of data sources using Python and SQL
Develop Tableau dashboards by establishing connections with GCP and other tools

Skills

Python

Google Cloud Platform

GCP

ETL

Data Pipelines

Engineering Platforms

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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