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Data Source Jobs in Texas (NOW HIRING)

... source for analysis, ensuring data accuracy and consistency across reporting environments.-Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise ...

... source for analysis, ensuring data accuracy and consistency across reporting environments. -Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise ...

Work you'll do The position supports data source onboarding and quality functions, ensuring security data is accurately ingested into the SIEM for monitoring and threat detection. The role also ...

Work you'll do The position supports data source onboarding and quality functions, ensuring security data is accurately ingested into the SIEM for monitoring and threat detection. The role also ...

Work you'll do The position supports data source onboarding and quality functions, ensuring security data is accurately ingested into the SIEM for monitoring and threat detection. The role also ...

Work you'll do The position supports data source onboarding and quality functions, ensuring security data is accurately ingested into the SIEM for monitoring and threat detection. The role also ...

Review the deliverables of junior associates and provide guidance on data source and quality. Build the infrastructure required for optimal transformation and integration from a wide variety of data ...

Senior Data Analyst

Plano, TX · On-site

$100K - $115K/yr

... data source development. * The candidate will have an understating of the software development lifecycle process. * The candidate will lead working sessions with technical and business users. These ...

SAP Manager

Plano, TX · On-site +1

Remote Required skillset: 1. Good understanding of BW data source and related configuration for the smooth running of TPM solution 2. End-to-end experience with different phases of TPM design and ...

... structure, data source connections, calculated fields, usage analytics. · Working knowledge of SSRS: report catalog, parameter handling, subscriptions, RDL structure. · Solid understanding of ...

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Data Source information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data source jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data source in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Source, and why are they important?

To thrive as a Data Source, you need a comprehensive understanding of data collection, data integrity, and compliance with relevant data standards, often supported by experience in data management or information systems. Familiarity with database management systems, data warehousing tools, and data governance frameworks is typically required. Strong attention to detail, analytical thinking, and effective communication skills are essential soft skills for ensuring accurate and accessible data delivery. These abilities are crucial for maintaining data quality, supporting decision-making, and upholding organizational trust in information assets.

How do Data Source professionals typically collaborate with data engineers and analysts on large projects?

Data Source professionals play a key role in bridging the gap between raw data and actionable insights. They work closely with data engineers to ensure data is collected, integrated, and maintained accurately from multiple sources, while also collaborating with analysts to understand data requirements and support reporting needs. Regular communication and alignment meetings are common, and successful collaboration often involves clearly documenting data flows, troubleshooting data quality issues, and jointly developing data pipelines. This teamwork helps ensure that data is reliable, accessible, and tailored to the organization's analytical goals.

What is the difference between Data Source vs Data Analyst?

AspectData SourceData Analyst
Primary RoleProvides raw data for analysisInterprets and analyzes data to generate insights
Required SkillsData collection, database managementData analysis, visualization, reporting
Work EnvironmentData collection points, databases, data warehousesOffice, remote, analytics teams
CertificationsDatabase certifications, data managementExcel, SQL, data analysis certifications

In summary, a Data Source focuses on providing and managing raw data, while a Data Analyst interprets this data to support decision-making. Both roles are essential in the data ecosystem but serve different functions within the data workflow.

What are Data Sources?

Data sources are origins or locations from which data is obtained for analysis, reporting, or storage. They can include databases, spreadsheets, APIs, data warehouses, or even physical files. In technology and business contexts, a data source provides the raw information that systems and analysts use to make informed decisions or drive applications. Understanding the type and structure of a data source is crucial for effective data integration and management.
Data Analyst

Full-time

Posted 24 days ago


Job description

OverviewCentral Health's Data Analyst will work alongside a team of other collaborative and engaged data analysts, epidemiologists, biostatisticians and data scientists to serve as a key resource for business intelligence, performance, clinical and operational analytics for Central Health. Under the general direction of the Analytics Quality Manager, our Data Analyst is responsible for organizing, analyzing, and reporting on data from large EHR, clinical, financial and enrollment data sets. This analyst will act as an Epic subject matter expert for front/back-end Epic reporting development. They will also assist in the design and validation of datamarts, performance dashboards and other systems that support the needs of an integrated network of physicians, safety net providers and hospitals to advance care that is patient centered, equitable and data driven.Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple sources, initially in SQL Server and later within Snowflake.-Develop, validate, and maintain analytical reports, dashboards and visual analytics (e.g., Power BI, Tableau) to communicate findings effectively to stakeholders.-Use analytical reasoning to interpret trends, relationships, and outliers; synthesize findings into actionable insights for business, operational, or clinical teams.-Collaborate with operational, business and clinical units to define metrics, KPIs, and performance indicators aligned with organizational goals and document business rules and transformation logic that support consistent use of data across reports.-Translate complex data into clear insights and visualizations that highlight trends, opportunities, and areas for improvement.-Perform data validation, reconciliation, and spot checks to ensure accuracy and reliability of data migrated from on-prem to cloud systems.-Support the development of automated data pipelines and quality checks in collaboration with data engineers.-Utilize SQL and Python for data querying, modeling, staging, reporting automation.-Create reports and dashboards in the Epic EHR as well as reports and dashboard in Power BI-Leverage Epic Clarity and Caboodle as a primary EHR data source for analysis, ensuring data accuracy and consistency across reporting environments.-Aid in the development and validation of analytic datasets within Epic Caboodle to support enterprise reporting and population health initiatives.-Participate in the development of data dictionaries, metadata documentation, and validation routines.-Identify and troubleshoot data anomalies and irregularities.-Contribute to continuous improvement of data quality and analytic capabilities by identifying process enhancements and automating manual workflows.-Work closely with Data Engineering, Integration, and Governance teams to ensure data definitions, lineage, and access controls are properly maintained.-Become a data subject matter expert (SME) and understand various sources and applications of Central Health data.-Performs other duties as assigned.Qualifications

MINIMUM EDUCATION:

  • Finance, Mathematics, Economics, Statistics, Actuarial Science, Computer Science, Engineering or related quantitative discipline. Hands on experience with healthcare data analysis can substitute for for specific fields of study.

Required Work Experience:

  • 2 years of experience in healthcare, statistics, experimental research, data science, reporting and analytics, economics, or public health.
  • 1 year of experience in SQL (preferably T-SQL) and Python scripting with an intermediate to advanced level of expertise
  • 1 year of experience with Power BI or Tableau. 
Preferred Work Experience:
  • 1 year of experience in report development within Epic EMR using Clarity, Caboodle, SlicerDicer, Reporting Workbench, Radar
  • Familiarity with health care claims processing including billing codes
  • Experience using statistical analysis software such as SAS, R, or Python.
  • 1 year experience in Azure/ Snowflake environment. 
Employment Type: FULL_TIME