Senior Analytics Consultant
At a glance
Senior Data Analysis & BI role at Fa Ewjt Saasfaprod1. New York · full-time · $173,000–$175,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build data-quality tools that support changing business definitions and work intuitively for users
- Use Python, SQL and Spark to run large-scale data processing, analysis and production deployment
- Work with clients to clarify business problems, collect requirements and deliver analysis and insights
- Present data-backed findings to senior executives and use client feedback to improve the work
- Lead project delivery, keeping tasks managed and deliverables on track
What you bring
- A master’s degree in statistics, computer science, mathematics or another related field
- At least four years working in data engineering and analytics
- At least three years using Python, SQL, Spark and SAS, and building and maintaining scalable data pipelines
- At least three years handling project delivery from planning through testing, presenting to senior leaders, and documenting data systems
Who this fits
This senior role suits someone who combines data engineering and analytics with client-facing problem solving and executive presentations. The role is full-time, with a stated schedule of 9:00am to 5:00pm for 40 hours each week. Telecommuting is permitted, and work may take place at various sites across the United States.
From the employer
Company: EXLService.com, LLC
Location: New York, NY
Position Title: Senior Analytics Consultant
Job Description:
Lead and execute advanced analytics and Data Engineering projects in the data governance domain. Leverage expertise in Python, SQL and Spark to build data tools and solve complex business problems. Collaborate closely with business stakeholders and client teams to deliver impactful, data-driven solutions.
Design and develop scalable tools that enable organizationwide data quality checks, while supporting evolving business definitions in an intuitive and user-friendly manner. Build reliable and adaptable software that streamlines processes and enhances overall efficiency across diverse use cases.
Work closely with clients to define business challenges, gather requirements, and deliver comprehensive data analysis and insights. Lead communication efforts, including creating data-driven presentations (decks) and presenting findings to senior executives.
Leverage SQL, Python, Spark, and a suite of advanced data engineering frameworks and statistical methodologies to execute end-to-end, large-scale data processing and analytical workflows.
Use EXL analytics methodologies and analysis tools, and licensed software to perform data extraction, data understanding, Big Data processing, and production deployment.
Lead projects, ensuring that all tasks are properly managed, and deliverables are met.
Facilitate client feedback sessions to refine problem structuring and improve output quality.
Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Master’s degree in Statistics, Computer Science, Mathematics, or a related field plus Four (4) years of experience in data engineering and analytics.
Must have at least three (3) years of experience with the following:
• Coding with Python, SQL, Spark, and SAS.
• Developing and maintaining scalable data pipelines for efficient data collection, transformation, and storage.
• Project delivery, including planning, requirements gathering, design, development, and testing.
• Presenting findings and insights to senior leadership.
• Maintaining documentation for data architecture, data flows, and processes to facilitate knowledge sharing and compliance.
40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $175,000 per year
To apply: Send resume and cover letter to us.careers@exlservice.com. Must cite job title and code EXL96 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
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