E

EXL

Analyzes business data and runs outsourced operations

Decision Analytics Senior Manager

Data EngineeringConfirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Experience with SAS 9.4 (base and advanced).
  • Experience with SAS Viya 3.3, 3.5, and 4 (base and advanced).
  • Experience migrating from SAS Enterprise Guide (EG) and SAS Viya, including converting .EGP files to .Flow in Viya.
  • Experience scheduling regular backups and restore strategies.
  • Experience reading SAS logs to identify root causes of issues.
  • Experience preparing installation documentation and standard operating procedures.
  • A Bachelor's or Master's degree in economics, mathematics, computer science or engineering, operations research, or related analytics areas; candidates with BA/BS degrees in the same fields from top-tier academic institutions are also welcome to apply.
  • At least 4 years of experience, preferably in insurance analytics.
  • Experience managing clients directly.
  • Superior analytical and problem-solving skills.
  • Demonstrated leadership ability and willingness to take initiative.
  • A strong record of achievement, solid analytical ability, and an entrepreneurial, hands-on approach to work.
  • Ability to work in a fast-paced, continuously evolving environment and take on challenging work.
  • Ability to understand cross-cultural differences and work with clients across the globe.

Responsibilities

  • Define project deliverables and controls, and ensure adherence to them.
  • Supervise and assist the team with project execution and delivery.
  • Monitor project progress and ensure adherence to client expectations.
  • Communicate with stakeholders, including writing presentation decks.
  • Coordinate all sub-team efforts.
  • Create project plans, define milestones and timelines, and review plans with the team.
  • Deliver project outputs.
  • Facilitate and gather client feedback on problem structuring.
  • Understand and define business problems, gather background information, and collect relevant data points.
  • Create solution hypotheses, obtain client buy-in, and align on objectives, staffing needs, timelines, and budgets.
  • Manage the frequency of feedback loops with offshore resources effectively.
  • Build capabilities in junior team members.
  • Schedule jobs and monitor day-to-day activities, escalating problems to technical support when issues arise.
  • Support end users with access and connectivity issues.
  • Establish a formal, regularly scheduled backup process.
  • Work with development and testing teams to prioritize and resolve issues quickly.
  • Extract, transform, and load data from various sources into SAS datasets.
  • Perform data quality checks and implement data cleansing and validation procedures.
  • Optimize data processing and storage for efficient performance.

Desired Qualifications

  • Experience working in dual-shore engagements is preferred.
  • Experience in insurance analytics is preferred.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

Recently Posted Jobs

Explore more opportunities at EXL

See more jobs