Lead Data Engineer

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), AWS, Data pipelines, JavaScript, Lambda, Linux Operating system, Node.js, Unix Operating system

Job Description

When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page.

Job Description

The Auto practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada. Part of a 1,600-member global team, the practice offers the automotive world’s largest service reminder platform along with agency services and digital media solutions. A leader in the automotive space, the team supports over 50% dealers in the US and manages 280M+ customer vehicle relations. Our Auto team is home to innovative thoughts, latest in technology and is always at the front of learning new. The Automotive Analytics team within Epsilon partners with internal and external clients and data providers, leveraging advanced statistical and data management techniques to drive strategic thought and effective decision making. The Senior Data Analyst manages analytic initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives. This role requires a strong analytical mindset, being able to take large datasets and use statistical methodologies to solve business problems.

Role Responsibilities:

• Drive analytical projects employing various statistical methodologies and software packages.
• Serve as the day-to-day contact for project phases from kick-off to presentation of results.
• Explore data requirements, integrates data from multiple sources using programming scripts to produce required data elements.
• Prepare reports, uncovering insights and developing business recommendations based on data findings and effectively present that to key internal and external stakeholders.
• Bring in value addition and innovation to the existing or new process/projects by researching new ways of doing things.
• Follows the best practices of programming, reporting, dashboarding, project documentation, and system management.
• Ensures data integrity and accuracy through rigorous testing and quality control processes, inspiring confidence in the analysis results.
• Collaborates within and cross teams to gather details and deliver results to stakeholders.

Qualifications

• Master’s or Bachelor’s degree in engineering or quantitative discipline (Statistics, Economics, Mathematics, Analytics, Data Science).
• 5-7 years of hands-on coding skills in Python, SAS, SQL, PySpark
• 4+ years of experience working on Apache Spark, DBMS (Oracle, SQL Server)
• 4+ years of experience in Reporting, Dashboarding and Presenting Insights.
• Good knowledge of Statistical concepts. Machine Learning knowledge is a plus.
• Deep knowledge of Primary and Secondary Market Research
• Telecom B2B marketing experience/knowledge preferred.
• Good experience in visual representation of data, presentation, and storytelling skills.
• Excellent communication skills and able to build good working relationship with clients.
• Flexibility to work in a virtual environment with stakeholders in US time zones.
• Exhibit technical acumen and possess good learning mindset.
• Highly motivated and collaborative team player with good interpersonal skills.