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Exl Service Data Analyst Jobs (NOW HIRING)

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company ... financial services, media, and retail, among others. Focused on creating value from data for ...

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Exl Service Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do exl service data analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for exl service data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are Exl Service Data Analysts?

Exl Service Data Analysts are professionals who work at EXL Service, a global analytics and digital solutions company. They are responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed business decisions. Their role typically involves data cleaning, data visualization, preparing reports, and providing actionable insights for clients across various industries. Data Analysts at EXL often use tools like SQL, Excel, Python, and visualization platforms such as Power BI or Tableau. They collaborate closely with business teams to solve complex problems and drive efficiency using data-driven approaches.

What is the difference between Exl Service Data Analyst vs Exl Service Business Analyst?

AspectExl Service Data AnalystExl Service Business Analyst
Primary FocusData collection, analysis, and reportingBusiness process improvement and requirements gathering
Skills & CertificationsData analysis tools, SQL, Excel, certifications like Microsoft Excel or TableauBusiness analysis, process modeling, stakeholder communication
Work EnvironmentData-driven projects within finance, healthcare, or insurance sectorsBusiness process and project management within similar industries

While both roles work within the same industry and often share skills like analytical thinking, the Exl Service Data Analyst primarily focuses on analyzing data sets to support decision-making. In contrast, the Exl Service Business Analyst concentrates on understanding business needs and improving processes. Both roles are essential but serve different functions within organizations.

What are some common challenges faced by Data Analysts at EXL Service, and how can they be addressed?

Data Analysts at EXL Service often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for deliverables. To address these, it's important to develop strong data cleaning and validation skills, utilize automated tools for data processing, and communicate proactively with team members and stakeholders to clarify requirements. Collaboration within cross-functional teams also helps in overcoming data ambiguities and aligning analyses with business objectives.

What are the key skills and qualifications needed to thrive as an EXL Service Data Analyst, and why are they important?

To thrive as an EXL Service Data Analyst, you typically need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Experience with data analysis tools such as SQL, Excel, Python, and business intelligence platforms, along with certifications like Tableau or SAS, is highly valuable. Attention to detail, effective communication, and problem-solving abilities help analysts interpret data insights and present findings to stakeholders. These skills are crucial for transforming complex data into actionable business solutions that drive decision-making and organizational success.
More about Exl Service Data Analyst jobs
What cities are hiring for Exl Service Data Analyst jobs? Cities with the most Exl Service Data Analyst job openings:
What states have the most Exl Service Data Analyst jobs? States with the most job openings for Exl Service Data Analyst jobs include:
Principle Data Engineer

Principle Data Engineer

EXL Service

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Posted 22 days ago


ExlService Holdings rating

8.3

Company rating: 8.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

62nd of 437 rated business services


Job description

Company Overview and Culture
EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
Required Skills:
Python, Pyspark/Spark, SQL, Data Lake (ON Prem or cloud) AWS, Snowflake.
Job Summary:
The Data Engineer's role is to play a lead role in developing a high-performance data platform, integrating data from a variety of internal and external sources, in order to support data and analytics activities. This is a technical role that involves defining changes to the warehouse data model and building scalable and efficient processes to populate or modify warehouse data. The successful candidate will have hands-on data processing and data modeling experience in cloud and on-prem environments.
Responsibilities:
  • Be a technical lead in the development of high-volume platforms to drive decisions and have a tangible beneficial impact on our clients and on business results.
  • Design and implement efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Data Warehouse.
  • Design and implement data model changes that align with warehouse standards.
  • Design and implement backfill or other warehouse data management processes.
  • Develop and execute testing strategies to ensure high quality warehouse data.
  • Provide documentation, training, and consulting for data warehouse users.
  • Perform requirement and data analysis in order to support warehouse project definition.
  • Provide input and feedback to support continuous improvement in team processes.
  • Experience in working both, On-Prem and Cloud (AWS preferred).
  • Responsible for leading the team onsite and off shore with technical leadership and guidance.

Qualifications:
  • 5+ years in a Data Engineering role
  • 7+ years hands on experience with SQL:
    • Ability to write/ interpret SQL and Complex Joins/ Queries
    • Execution plan and SQL optimization (Oracle SQL Profiler)
  1. o 3+ years coding experience (Python and/or PySpark).
  2. o 3+ years hands on experience with big data and cloud technologies (Snowflake, EMR, Redshift, or similar technologies) is highly preferred
    • Schema design and architecture on snowflake
    • Architecture and design experience with AWS cloud
    • AWS services expertise: S3, RDS, EC2, ETL services (Glue, Kinesis)
    • Consumption layer design experience for reporting and dashboard
  • Expert level understanding and experience of ETL fundamentals and building efficient data pipelines.
  • 3+ years at least - Enterprise GitHub - branch, release, DevOps, CI/CD pipeline.
  • Team player, Strong communication and collaboration skills.
  • Experience with Agile methodologies.
  • Master's Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field.
EEO/Minorities/Females/Vets/Disabilities
Please be aware that EXL requires all employees to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination. EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.