Who We Are

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world’s leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation, and boost business productivity. We listen, learn, question, discover, innovate, and deliver—for each other and our clients—to make the world work better for people.

Why Escalent? Once you join our team, you will have the opportunity to...

• Access experts across industries for maximum learning opportunities including Weekly Knowledge Sharing Sessions, LinkedIn Learning, and more.
• Gain exposure to a rich variety of research techniques from knowledgeable professionals.
• Enjoy a remote first/hybrid work environment with a flexible schedule.
• Obtain insights into the needs and challenges of your clients—to learn how the world’s leading brands use research.
• Experience peace of mind working for a company with a commitment to conducting research ethically.
• Build lasting relationships with fun colleagues in a culture that values each person.

Role Overview:

The role will be part of an offshore alternative data team working for a global investment banking client. The team provides evidence-based research and analytics to equity analysts, economists and strategists.

As a Data Engineer, you will be expected to:

• Interact with clients to understand their business objectives and existing data architecture, and accordingly devise sustainable and automated solutions to expedite data collection, storage/integration, quality assurance, accessibility and analysis
• Design, develop, and maintain robust ETL/ELT pipelines to process datasets, market data, and alternative data using Python and Snowflake.
• Automate ingestion of large-scale structured and unstructured data from platforms, APIs, and third-party providers.
• Use pandas & python to clean, transform and analyze structure & unstructured datasets
• Use a variety of technical skills and tools to produce ready-to-use forms to support client’s data needs
• Deal with multiple types of datasets, yet provide structured approaches that can be leveraged across projects and answer client’s objectives
• Focus on continuous efficiency improvements via automation of, but not limited to, web scraping robots, data quality check scripts, and analysis codes

Background:

• Graduate with an Engineering degree (preferably Computer Science) or a degree in Statistics/Math with advanced experience in coding or equivalent
• 3-5 years of relevant experience as a data engineer, data scientist or software developer with a track record of manipulating, processing and extracting value from large datasets
• At least 1-2 years of experience in dealing with international clients, and involved in driving a data engineering and analytics solution from business needs identification to conceptualization to development to continuous improvement
  • Experience working with or for an investment bank or top consulting firm is a plus

Skills Needed:

• Experience of working with and creating data architectures, and in dealing with both structured and unstructured datasets
• Experience of creating automated solutions for data accessibility and analytics, and process efficiencies
• Well versed with creating systematic or programmatic data quality checks
• Well versed with programming in Python/R and SQL
• Familiar with statistical models and data mining algorithms
• Experience working in an Agile environment and the use of JIRA a plus
• Familiar with web scraping a plus
• Experience of handling ETL tools and BI dashboards a plus
• Excellent written and verbal communication for extensive client engagement
• Good English communication skills both verbal and written.

Role and Responsibilities:

• Understand client objective and managing client expectations across all projects in a multi-shore team model
• Work with client and/or offshore teams to create algorithms for (1) data collection, (2) data storage, (3) data quality checks, (4) data accessibility, and (5) data analytics
• Independently work with client to scope and deliver on projects, or as part of larger team, as required
• Align requirements on different work streams and tasks assigned by the client, as part of a larger team
• Contribute to and at times independently take on client calls
• Support other functional tasks (BA, QA, Dev) as needed
• Assist other client/internal teams, based on specific skill/insights requirements
• Any adhoc tasks as advised by the manager

Explore our Careers and Culture page to learn more about the people behind the brand: https://escalent.co/careers-and-culture/