Data Engineering Consultant/Analyst
New York, United States
eClerx
eClerx is a global leader in productized services, enhancing business outcomes through technology, Artificial Intelligence, and deep domain expertise.Data Engineering Consultant/Analyst
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Location: United States
Type: Full-time/Contractor (18 Months)
Department: Technology
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Summary
eClerx is looking for data wrangling and analytics professionals with hands-on experience with different data processes. Knowledge of data warehouse strategies, ETL processes and in using the following tools: Tableau, SQL and Python/R is also required.
The candidate should have previous experience at a banking or capital markets firm.
Duties & Responsibilities:
- Provide data wrangling services to make data (structured and unstructured), by transformations, normalization, and data mapping, consumable for a variety of downstream purposes such as applications, visualizations, and analytics
- Design and model analytical methods based on the statistical methods. Validate, test, and deploy data models and analytical products/tools
- Research, troubleshoot and recommend solutions to complex business and technical problems. Prepare and communicate through effective presentations and written communications
- Work with large data sets and identify patterns, anomalies, and propose steps for remedial actions
- Query and join multiple tables in SQL databases to provide data needed to support analytics and/or process improvement
- Prepare technical specifications and documentation for technology solutions in order to support downstream uses
- Ensure quality solution delivery by performing end to end data validation on technology solutions
Skills & Abilities: (Technical and General)
Minimum Requirements:
- 8 to 10 total years of data experience
- 8+ years writing complex SQL queries and performing query optimization.
- 3+ years of related, hands-on experience with Python, R or similar analytical programming language
- 3+ years’ experience in a trade-related, technology position at a financial institution
- Demonstrably proficient in ETL tools such as Informatica and Alteryx
- Knowledgeable with Jira and agile methodologies
- Experience developing data models and analytical products for financial services firms
- Strong analytical, problem solving, and troubleshooting abilities
- Innovation minded, highly capable to think systematically, capable to redefine the solutions to overcome the competitors and solving problem
- Curious and willing to challenge existing solutions with innovative technology concepts
In the US, the target base salary for this role is $100,000-$120,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors.
About eClerx
eClerx provides business process management, analytics, and automation services to a number of Fortune 2000 enterprises, including some of the world's leading companies across financial services, cable & telecom, retail, fashion, media & entertainment, manufacturing, travel & leisure, software and high-tech. Incorporated in 2000, eClerx is one of India's leading process management and data analytics companies and is today traded on both the Bombay and National Stock Exchanges of India. eClerx employs 17,000+ people across its global sites in the US, Canada, UK, Australia, Italy, Germany, Switzerland, Dubai and Singapore, along with its delivery centers in India and Thailand. For more information, visit www.eclerx.com
eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here
Tags: Agile Banking Data Analytics Data warehouse Engineering ETL Informatica Jira Python R Research SQL Statistics Tableau
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