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Exl Service Data Analyst Jobs in Arizona (NOW HIRING)

Senior Data Analyst

Phoenix, AZ ยท On-site

$6.9K - $8.0K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly ... Extremely High Summary The Senior Data Analyst will work as part of the Data Services & Business ...

Senior Data Analyst

Phoenix, AZ ยท Remote

$6.9K - $8.0K/mo

Manager, Data Services Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly ... Extremely High Summary The Senior Data Analyst will work as part of the Data Services & Business ...

Data Analyst Senior

Phoenix, AZ ยท On-site +1

$107K - $155K/yr

CLA is a top 10 national professional services firm where our purpose is to create opportunities ... The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ...

Sr Data Analyst

Phoenix, AZ ยท Hybrid

$85K - $107K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Collaborate with FP&A, Service Delivery, Senior Finance leadership and other key stakeholders to ...

New

Data Analyst (REMOTE)

Phoenix, AZ ยท Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Ability to provide efficient, timely, reliable and courteous service to customers. Ability to ...

Complete projects requiring data mining, analysis and presentation Prioritize business and ... Services (SSRS), Tableau, or other reporting packages Additional Information - "All your ...

Perform root-cause analysis on cost variances, billing discrepancies, and service failures across all transportation modes. Data, Reporting & Tooling * Build and maintain scalable datasets, reports ...

Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all transportation modes. Data, Reporting & Tooling * Build and maintain scalable datasets, reports ...

Perform rootcause analysis on cost variances, billing discrepancies, and service failures across all transportation modes. Data, Reporting & Tooling * Build and maintain scalable datasets, reports ...

About the Role As a Fabric Data Analyst I at arrivia , you'll design and maintain the Power BI ... Self-service enablement: Create certified datasets and reusable templates that let teams answer ...

New

About the Role As a Fabric Data Analyst I at arrivia , you'll design and maintain the Power BI ... Self-service enablement: Create certified datasets and reusable templates that let teams answer ...

New

Senior Data Analyst

Phoenix, AZ ยท On-site

$85K - $107K/yr

Senior Data Analyst (Migration Validation) Job Code: AZ 13094 Client: State of Arizona - AZDES ... Service Cloud. The selected candidate will validate end-to-end data migration, perform ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers ...

As a Data Analyst, team members will be responsible for evaluating and improving U-Haul's products and services. You will be interacting with multi-disciplinary teams of Data Scientists, Engineers ...

Showing results 21-40

Exl Service Data Analyst information

What is an EXL Service data analyst?

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.

Is it still worth it to become a data analyst in 2026?

Data analysts remain in demand in 2026 due to the ongoing growth of data-driven decision making across industries. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are valuable, and certifications can enhance job prospects. The role offers opportunities for career advancement and specialization in areas such as data science or analytics management.

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?

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.
What cities in Arizona are hiring for Exl Service Data Analyst jobs? Cities in Arizona with the most Exl Service Data Analyst job openings:

Senior Data Analyst

Contexture

Phoenix, AZ โ€ข On-site

$6.9K - $8.0K/mo

Full-time

Posted 4 days ago


Job description

Job Code: SRDANLST
Reports To: Manager, Data Services
Base Location: AZ or CO
Work Status: Virtual Office
Minimum Starting Monthly Range: $6,943
Hiring Range (Monthly Pay): $6,943 - $8,083
Full-time / Part-time Full-time
Exempt / Non-Exempt Exempt
Risk Designation: Extremely High
Summary
The Senior Data Analyst will work as part of the Data Services & Business Intelligence team to derive business value from enterprise data by implementing data analysis and reporting specifications provided by the Data Architect and Director of Data Services & Business Intelligence, including data transformations, consumption, and automation. This role will work with multiple healthcare data sources and cross-functional teams to establish integrated datasets across legacy and greenfield data/platforms. You will work closely with data producers, consumers, and subject matter experts to enhance data service capabilities by implementing data architecture frameworks, standards, and principals, including modeling, metadata, security, and reference data.
This position is based in Phoenix Arizona; Denver Colorado; or Grand Junction, Colorado and requires local residency in one of these base locations. Our strategic flexibility allows for local work from home opportunities.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential Duties and Responsibilities include the following:
  • Develop, implement, and maintain data analysis and reporting solutions for data business intelligence, reporting, visualization, and analysis.
  • Support internal and external customers in data analysis and reporting activities, including data validation and in-depth analysis of source data.
  • Assist with the development, implementation, and maintenance of enterprise data management solutions.
  • Develop an expert understanding of internal enterprise data sources.
  • Transform data using industry-standard techniques such as standardization, normalization, de-duplication, filtering, projection, and aggregation.
  • Extract data from enterprise data sources as part of automated consumption data flows.
  • Conduct research and evaluation of data analysis and data measurement methodologies, technologies, and tools and make recommendations for implementation.
  • Prepare and present data analysis findings to internal and external stakeholders.
  • Collaborate with data producers, consumers, and subject matter experts to ensure smooth dissemination and flow of data within the organization.
  • Performs other related duties as assigned.

Skills
  • Demonstrated experience with relational and non-relational data storage models, schemas, and structures used in data lakes and warehouses for big data, business intelligence, reporting, visualization, and analytics.
  • Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
  • Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
  • Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
  • Technical Skills and Experience:
    • Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data
      • Required Languages: Python and SQL
      • Required Libraries: PyData stack
    • Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake
    • Leveraging data partitioning, parallelization, and data flow optimization principles
    • SQL query development using query planning and optimization techniques
    • File manipulation across varied file types, encodings, formats, and standards
    • Secure Software Development Lifecycle (SSDLC), version control, and release management
  • Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
  • Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
  • Strong understanding of project management disciplines such as Agile and Waterfall.
  • Ability to translate technical requirements into actionable tasks for execution.
  • Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
  • Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
  • Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Education/Experience
  • Minimum of 5+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 5+ years working with relational databases, 4+ years working with analytical data workloads.
  • Bachelor's Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.
  • Master's Degree is preferred.

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually moderate.
The position may require occasional availability for after-hours work, outside of regularly scheduled hours.
The position may require ability to periodically drive to and from clients, conferences and / or events; and / or limited travel.
This position is expected to be exposed to, process, or handle sensitive information including but not limited to Protected Health Information (PHI), Personally Identifiable Information (PII), financial information, etc. As such, the holder of this position is expected to comply with all applicable laws, regulations, organizational policies, and compliance expectations.
Physical Demands
The physical demands described here are representative of those necessary to perform the essential functions of the role:
  • Frequent communication and information exchange.
  • Regular movement within the office to access equipment and materials.
  • Ability to remain stationary for extended periods (approximately 50% of the time).
  • Continuous use of computers and office equipment (e.g., keyboard, monitor, printer).
  • Frequent handling of materials up to 10 lbs; occasional handling up to 30 lbs.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Note: This job description is not intended to be an exhaustive list of all duties, responsibilities and / or qualifications associated with the job.
Benefits: Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.
The organization is an inclusive Equal Opportunity Employer. We do not discriminate on the basis of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or other status protected by law or regulation.
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