Enterprise Data Analyst Job at Solomon Page (Austin)

Enterprise Data Analyst III

The Enterprise Data Analyst III serves as a Subject Matter Expert (SME) contribu...

Location

United States , Los Angeles

Salary:

88854.00 - 142166.00 USD / Year

L.A. Care Health Plan

Expiration Date

Until further notice

Requirements

Bachelor's Degree (or equivalent education/experience)
At least 4 years of experience in analytics, with substantial exposure to healthcare operations, managed care, or population health
Experience leading end-to-end analytic projects, including requirements gathering, data validation, analysis, and delivery of insights
Experience analyzing multiple data sources and translate findings into actionable recommendations
Expert in SQL for complex exploratory analysis, data modeling, and Extract, Transform, and Load (ETL) processes
Advanced proficiency in Tableau (or equivalent BI tools)
Strong statistical and analytical skills, including multivariate analyses, regression, and control charts
Knowledge of version control (Git, GitHub) and collaborative development workflows
Ability to develop and maintain reusable analytic frameworks, templates, and processes
Proficiency in data validation, reconciliation, and adherence to governance standards

Job Responsibility

Leads end-to-end analytic development, from structured business case definition and requirements gathering to delivery of validated, actionable insights
Conducts advanced analyses evaluating drivers of quality, operational efficiency, and financial performance
Coordinates with IT and product owners to ensure analytic outputs are integrated into enterprise systems and recurring workflows
Develops, optimizes, and automates analytic assets (data models, dashboards, reports) following enterprise design and refresh standards
Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases
Maintains awareness of data lineage and governance compliance throughout all analytic work
Manages project planning, tracking, and post-implementation assessment for assigned deliverables
Mentors and models adherence to analytic development best practices
Applies subject matter expertise in evaluating business operations and processes
Identifies areas where technical solutions would improve business performance

What we offer

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Fulltime

Data Analyst (for Enterprise Architecture Repository)

We are currently seeking a Data Analyst (for Enterprise Architecture Repository)...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Experience with EA tools (e.g., OrbusInfinity)
Proficiency with data quality analysis, reconciliation, and lifecycle management
Understanding of technology lifecycle concepts (EOL/EOS)
Familiarity with cloud platforms and cloud‑deployment metadata (Azure, AWS, on‑prem hybrid)
Ability to analyse system inventories, metadata, and key attributes (owners, DR, resilience, cost centres)
Experience with ITSM/CMDB frameworks (ServiceNow CSDM preferred)
Understanding of TBM taxonomy and IT cost‑allocation principles
Strong Excel/Power BI / data‑manipulation capabilities
Requirements gathering and stakeholder interviewing
Ability to map business services, capabilities, and processes to underpinning systems (IBS mapping)

Job Responsibility

Support enterprise‑wide technology, system, and service mapping across multiple data domains including EOL/EOS lifecycle management, cloud deployments, TBM taxonomy alignment, Operational Resilience/DR attributes, and Important business‑service mapping
Engage with architecture, technology owners, finance teams, and operational SMEs to reconcile data, enhance BAU processes, improve data governance, and maintain the accuracy of system inventories and architecture repositories
Contribute to project governance, vendor engagement, and reporting
Ensure data for EMEA systems held in OrbusInfinity Architecture tool is accurate for regulatory Operational Resilience mapping, vendor mapping, End of Life records, and quality data for future ServiceNow import
Enhance processes to maintain data as part of BAU

Senior Analyst, Enterprise BI Data Products & Governance

Our analysts transform data into meaningful insights that drive strategic decisi...

Location

United States , Philadelphia

Salary:

Not provided

Comcast Advertising

Expiration Date

Until further notice

Requirements

SQL & Python mastery
Experience with large-scale enterprise systems
Data modeling & architecture know-how
Operational data maintenance & manipulation
Strong attention to detail
Technical documentation & system design translation

Job Responsibility

Be the data subject matter expert—know it, love it, explain it
Curate and validate data that feeds into sales compensation systems
Translate business needs into technical requirements and data models
Collaborating across teams: Sales Comp, HRBPs, Data Engineering, Reporting
Own the data lifecycle: discovery, profiling, testing, documentation
Build and execute UAT plans and ensure data quality through QA checks
Provide transparency and alerts to upstream data owners
Drive proactive improvements and suggest enhancements to data systems
Consistent exercise of independent judgment and discretion in matters of significance
Regular, consistent and punctual attendance

What we offer

Paid Time off
Physical Wellbeing
Financial Wellbeing
Emotional Wellbeing
Life Events + Family Support

Fulltime

Jr. Data Analyst - Master Data Governance

Our client, a global media company, is looking for a Jr. Data Analyst (Master Da...

Location

United States , Los Angeles

Salary:

34.00 - 39.00 USD / Hour

Solomon Page

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Accounting, Finance, Business, or a related field
1+ years of experience in a master data-related role
Hands-on experience using ERP systems, Oracle Fusion experience is a plus
Experience with Enterprise Data Management systems is preferred
Advanced Microsoft Excel proficiency
Excellent written and verbal communication skills
Ability to multi-task and work independently

Job Responsibility

Support the day-to-day master data governance operations in Oracle Fusion
Set up master data, handle data conversions, and rationalize information from other ERP systems
Perform data quality checks and validate mandatory attributes
Assist with legacy mapping updates and data corrections
Track operational metrics and flag potential risks or bottlenecks

What we offer

medical
dental
401(k)
direct deposit
commuter benefits

Fulltime

Data Engineer (Enterprise Data & Intelligence)

As a Data Engineer on the Enterprise Data & Intelligence team, you will design, ...

Location

Bulgaria , Sofia

Salary:

Not provided

HotSchedules Corporate

Expiration Date

Until further notice

Requirements

3+ years in data engineering or a closely related role
Bachelor's degree in Computer Science, Data Engineering, or a related field
Strong T-SQL skills and working proficiency in PySpark or Python for data processing
Hands-on experience with MS Azure Storage Explorer and SSMS
Hands-on experience with cloud-based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric)
Practical experience building ETL/ELT pipelines and dimensional or analytical data models
Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing
Active use of AI productivity tools (e.g., ChatGPT, Claude, Copilot, Cursor) as an integrated part of development, testing, documentation, and day-to-day engineering workflows
Ability to work collaboratively with both technical and non-technical stakeholders
Good documentation habits and a willingness to communicate technical concepts clearly

Job Responsibility

Design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth
Gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform
Collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams
Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform
Develop and refine data models to support BI reporting, analytics, and ML/AI use cases
Write efficient, well-documented T-SQL and PySpark code following team coding standards
Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability
Contribute to data governance practices, including lineage tracking, metadata management, and quality controls
Support CI/CD pipelines for data assets, ensuring version control and reproducibility
Partner with Analytics Engineers to scope, refine, and prioritise data requirements from business stakeholders

What we offer

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

Fulltime

Senior Data Profiling Analyst (SQL, Data Governance & Analytics)

We are seeking a highly analytical and detail-oriented Senior Data Profiling Ana...

Location

United States , Austin

Salary:

Not provided

Dutech Systems

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Analysis, Business Analysis, Systems Analysis, Data Governance, or Data Liaison roles
8+ years of experience gathering business requirements and translating complex data needs into actionable analytical solutions
8+ years of experience working with complex enterprise datasets and analytics projects
Strong SQL expertise for data extraction, transformation, profiling, analysis, and validation
Experience performing data profiling, data discovery, and data quality assessments
Experience documenting and validating business data lineage and data relationships
Strong communication skills with the ability to present technical information to business users and executive stakeholders
Excellent analytical, problem-solving, presentation, and interpersonal skills
Experience collaborating with cross-functional teams and stakeholders across business and technology organizations

Job Responsibility

Gather and analyze business requirements and translate complex data acquisition and operational requirements into actionable data profiling and analytics solutions
Perform data discovery, profiling, validation, and quality assessments across multiple enterprise data sources
Utilize SQL to extract, manipulate, enrich, and analyze large datasets to support business and analytics initiatives
Collaborate with business users, performance analysts, data engineers, and IT leadership to identify and document data relationships, dependencies, and lineage
Analyze data quality issues and recommend corrective actions to improve data accuracy, consistency, and reliability
Document data definitions, business rules, metadata, and data lineage artifacts to support enterprise data governance initiatives
Serve as a liaison between business stakeholders and technical teams to ensure data requirements are clearly understood and implemented
Explain technical findings, data limitations, and analysis results in clear, concise language for non-technical audiences and executive leadership
Support analytics development efforts by validating data sources and ensuring data readiness for reporting and business intelligence solutions
Participate in data governance activities and contribute to the development of data quality standards and best practices

Senior Data Quality Analyst, Master Data, Procurement Services

As the Senior Data Quality Analyst for Master Data within PG&E’s Procurement Ser...

Location

United States , Oakland

Salary:

98000.00 - 134000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
Demonstrated experience writing and implementing data quality rules, validations, and thresholds
Experience with data profiling, analytics, and quality reporting tools

Job Responsibility

Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
Track and escalate data issues using structured issue tracking and remediation workflows
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability

What we offer

eligible to participate in PG&E’s discretionary incentive compensation programs

Fulltime

Business Analyst 3, App/Dev Data Analyst

We are seeking a highly skilled Business Analyst III / Data Analyst to support e...

Location

United States , Austin

Salary:

Not provided

MMC Group LP

Expiration Date

Until further notice

Requirements

8+ years of experience reviewing, analyzing, and evaluating business systems and user needs
8+ years of experience in core business analysis functions and associated methodologies
8+ years of experience participating in software development reviews and supporting analysis, design, and testing
8+ years of experience performing or supporting unit testing, system testing, and user acceptance testing
8+ years of experience in Software Development Lifecycle (SDLC) methodologies
Strong experience as a Data Analyst working with raw data analysis
Minimum 5 years of experience serving as a liaison between business teams and IT organizations
Strong understanding of enterprise application development and technology workflows
Extensive planning and organizational skills with the ability to manage multiple assignments accurately
Strong written and verbal communication skills across technical and business teams

Job Responsibility

Serve as a liaison between business stakeholders and IT teams including Architecture, Project Delivery, and Application Sustainment
Review, analyze, and evaluate business systems and user needs to support strategic technology solutions
Gather, document, and validate business, functional, and technical requirements
Analyze raw data and business processes to identify improvement opportunities and support project objectives
Support business process reengineering and identify new applications of technology to improve efficiency
Participate in software development reviews and provide analysis, design, and testing support
Assist with unit testing, system testing, and user acceptance testing (UAT)
Collaborate with IT developers and analysts to understand application functionality and enhancements
Develop and maintain user guides, how-to documents, and application support documentation
Create and update screenshots, step-by-step visuals, and reference materials for end users

What we offer

Medical, dental, and vision coverage
Life and disability insurance
Additional voluntary benefits

Fulltime

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Enterprise Data Analyst

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