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Entry Level Data Analyst Jobs in Dallas, TX (NOW HIRING)

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination. * Relevant ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

This is the entry level position in business analysis. The associate will develop a high degree of understanding of their assigned program. Under close supervision, they will extract data concerning ...

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

Entry-Level Associate

Addison, TX · On-site

$35K - $48K/yr

Position Overview We are seeking a motivated and driven Entry-Level Associate to join our growing ... Experience with data analysis, presentations, customer service, or project coordination.

Showing results 21-40

Entry Level Data Analyst information

See Dallas, TX salary details

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How much do entry level data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level data analyst in Dallas, TX is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.39 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Dallas, TX?

The most popular types of Data Analyst jobs in Dallas, TX are:

What job categories do people searching Entry Level Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Entry Level Data Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Data Analyst jobs?

Cities near Dallas, TX with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 67% Full Time, 14% Part Time, and 19% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $67,739 per year, or $32.6 per hour.

Informatics & Analytics Analyst

Prism Health North Texas

Dallas, TX • On-site

Full-time

Re-posted yesterday


Key responsibilities

  • Support the development, maintenance, testing, and enhancement of Power BI reports and dashboards.

  • Use Snowflake to query, extract, compare, and validate healthcare data, and support related reporting and analysis.

  • Validate report outputs against source systems, stakeholder expectations, and documented business rules, and review data for accuracy and completeness.


Job description

Our Core Values:

At Prism Health North Texas, our actions are guided by our Core Values. These values shape every aspect of the employee experience, including hiring, development, performance, and accountability. They are evident in how we serve our patients, engage with communities, and support one another. Our Core Values are:

  • We are solution seekers.
  • We have a can-do attitude. 
  • We are mission driven. 
  • We care about people.


Position Summary:  

  • The Informatics & Analytics Analyst provides hands-on reporting, analytics, data validation, documentation, and operational support across Prism Health North Texas' healthcare data and reporting environment.
  • This role supports the Informatics function by assisting with:
    • Clinical, financial, operational, pharmacy, quality, grants, and executive reporting
    • Power BI dashboard support and enhancement
    • Snowflake-based querying, validation, and analysis
    • Report inventory, documentation, and data lineage
    • Data quality review and source-to-report reconciliation
    • KPI definition and Data Governance Committee support
    • Recurring reporting and stakeholder request support
  • The Informatics & Analytics Analyst helps ensure data and reports are accurate, timely, documented, and useful for decision-making. This position works closely with the Lead Healthcare Informaticist / Analytics Developer, IT, HIM, Clinical Operations, Quality, Grants, Finance, Pharmacy, Revenue Cycle, and executive stakeholders.
  • This is not intended to be an entry-level reporting role. The position requires enough healthcare data, Snowflake, SQL, Power BI, Excel, and validation experience to contribute quickly while continuing to grow into more advanced healthcare analytics and informatics responsibilities.
ResponsibilitiesREPORTING, ANALYTICS, AND DASHBOARD SUPPORT
  • Support the development, maintenance, testing, and enhancement of Power BI reports and dashboards.
  • Assist with recurring reports supporting clinical operations, quality, grants, pharmacy, finance, executive leadership, and operational departments.
  • Modify existing reports and dashboards based on approved requirements and documented business needs.
  • Support dashboard refreshes, data updates, filter adjustments, visual changes, and routine report maintenance.
  • Assist with reports and dashboards related to:
    • Provider productivity
    • Patient access
    • Clinical quality measures
    • HRSA / UDS / grants reporting
    • Pharmacy and 340B reporting
    • Revenue cycle and payer mix
    • Executive scorecards
    • Population health and health equity
  • Help identify duplicate, outdated, unused, conflicting, or unreliable reports.


SNOWFLAKE, SQL, AND SOURCE DATA SUPPORT
  • Use Snowflake to query, extract, compare, and validate healthcare data.
  • Write and modify SQL queries to support reporting, dashboard development, data validation, and discrepancy analysis.
  • Support AthenaOne / DataView / Snowflake-based reporting and analytics.
  • Help document source tables, fields, joins, filters, relationships, and reporting logic.
  • Compare source-system outputs to Power BI dashboards, AthenaOne reports, exported files, SharePoint based reports, and stakeholder-maintained spreadsheets.
  • Support investigation of discrepancies between AthenaOne reports, Snowflake/DataView queries, Power BI dashboards and manually maintained reporting sources.
  • Escalate complex query, data model, data architecture, or source-system issues to the Lead Healthcare Informaticist / Analytics Developer.


DATA VALIDATION AND QUALITY ASSURANCE
  • Validate report outputs against source systems, stakeholder expectations, prior reports, and documented business rules.
  • Review data for accuracy, completeness, duplicate records, date-range errors, attribution issues, calculation issues, and missing values.
  • Execute QA checklists for new, modified, and recurring reports.
  • Assist in validating:
    • Numerators and denominators
    • Measure exclusions
    • Date ranges
    • Provider attribution
    • Location attribution
    • Payer groupings
    • Encounter and visit logic
    • Quality measure logic
  • Document validation results, known issues, assumptions, and open questions.
  • Track and escalate data quality issues requiring review, correction, or governance decisions.
POWER BI, EXCEL, AND DATA PREPARATION
  • Support Power BI report development, maintenance, and testing.
  • Use Excel for data analysis, reconciliation, comparison, cleanup, and validation.
  • Use Power Query to clean, transform, and prepare data for reporting where appropriate.
  • Support basic to intermediate DAX measures under the direction of the Lead Healthcare Informaticist / Analytics Developer.
  • Help maintain report filters, slicers, relationships, refresh settings, and visual layouts.
  • Test Power BI dashboards after data source, model, refresh, or calculation changes.
  • Assist with the transition from spreadsheet-heavy reporting to more reliable Power BI and Snowflake supported reporting models.
REPORT INVENTORY, DOCUMENTATION, AND LINEAGE
  • Maintain the enterprise report and dashboard inventory.
  • Document report owners, business purpose, data sources, Snowflake objects, refresh frequency, distribution method, audience, and certification status.
  • Create and maintain runbooks for recurring reports and high-priority dashboards.
  • Document manual reporting processes involving AthenaOne exports, inbox delivery, SharePoint folders, network drives, or spreadsheet manipulation.
  • Assist with documenting data lineage from source system to Snowflake, Power BI, and final report output.
  • Help reduce reliance on tribal knowledge by creating repeatable, accurate, and accessible documentation


DATA GOVERNANCE AND KPI STANDARDIZATION SUPPORT
  • Support the Data Governance Committee through report tracking, documentation, metric definition support, and certification preparation.
  • Assist in maintaining the enterprise KPI dictionary.
  • Document business definitions for commonly used metrics, including:
    • Encounters
    • Visits
    • Unique patients
    • No-show rate
    • Provider productivity
    • Clinical FTE
    • Payer mix
    • Quality measures
    • UDS-related metrics
    • Pharmacy and 340B measures
  • Track certification status for reports and dashboards.
  • Help prepare reports for review by business owners, data stewards, and governance stakeholders.
  • Support consistent use of approved definitions and reporting logic across departments.
REQUIREMENTS GATHERING AND STAKEHOLDER SUPPORT
  • Meet with stakeholders to clarify reporting requests, business needs, definitions, deadlines, and intended use.
  • Translate stakeholder requests into clear requirements, report changes, validation steps, documentation updates, or escalation items.
  • Support the Informatics intake and backlog process.
  • Communicate clearly with internal customers regarding report status, needed clarification, blockers, and expected timelines.
  • Provide service-oriented support while reinforcing standardized intake, prioritization, documentation, and governance processes.
  • Serve as a reliable liaison between stakeholders and the Lead Healthcare Informaticist / Analytics Developer for assigned work.


CLINICAL, QUALITY, GRANTS AND REGULATORY REPORTING SUPPORT
  • Assist with reporting related to clinical operations, quality measures, UDS, HRSA, grants, CQM, population health, and health equity.
  • Support validation of reports used for external, regulatory, grant-related, or executive-facing purposes.
  • Help ensure sensitive or high-impact reports are reviewed and validated before distribution.
  • Work with Clinical Operations, Quality, Grants, HIM, and operational stakeholders to understand report logic and business context.
  • Support investigation and correction of reporting discrepancies that could affect external reporting, compliance, funding, or executive decision-making.


PHARMACY, 340B, FINANCE, AND OPERATIONAL REPORTING SUPPORT
  • Support pharmacy and 340B analytics reporting, including prescription volume, contract pharmacy activity, eligible encounter reporting, referral capture, and exception reporting.
  • Assist with finance-related reporting, including payer mix, revenue cycle metrics, provider productivity, visit volume, and service line analytics.
  • Partner with the Lead Healthcare Informaticist / Analytics Developer and business stakeholders to validate finance and pharmacy reporting logic.
  • Support reconciliation activities when reports do not align across systems, departments, or reporting tools.
  • Assist in documenting assumptions, calculations, and source logic for finance, pharmacy, and operational reports.
PROCESS IMPROVEMENT AND REPORTING MATURITY
  • Identify manual, repetitive, fragile, or undocumented reporting processes that should be improved or automated.
  • Support the transition from reactive reporting support to a more governed enterprise analytics function.
  • Help improve consistency in report formats, naming conventions, documentation, QA, and distribution.
  • Participate in efforts to reduce dependency on manual exports, inbox-based reports, SharePoint file workflows, and one-off spreadsheet processes.
  • Support maturation of Prism's reporting environment through improved documentation, validation, Snowflake use, Power BI discipline, and data governance practices.
Required Skills

Required Knowledge, Skills, and Abilities:

  • Proficiency in:
    • Snowflake
    • SQL querying
    • Power BI report support or development
    • Microsoft Excel for analysis, reconciliation, and validation
    • Data validation and QA
    • Report documentation
    • Requirements gathering
    • Source-to-report comparison
    • Dashboard testing and maintenance
    • Experience with:
    • Healthcare data and reporting
    • Snowflake-based data analysis, validation, or reporting
    • Power BI or similar analytics/reporting tools
    • SQL queries used forreporting, validation, or dashboard support
    • Manual and automated reporting workflows
    • Data quality review and discrepancy investigation
    • Stakeholder-facing reporting support
    • Working understanding of:
    • Clinical, operational, financial, pharmacy, quality, or grants repofing
    • EHR reporting concepts
    • Data governance and KPI standardization
    • Report inventory and documentation practices
    • HIPAA and responsible handling of healthcare data

  • Preferred experience with:
    • AthenaOne reporting
    • AthenaOne DataView
    • Power Query
    • DAX
    • Microsoft Fabric
    • SQL Server
    • Tableau
    • Azara DRVS
    • ETL/ELT concepts
    • Semantic models or data warehouse concepts
    • Row-level security or role-based reporting access
    • Python or R
    • Excellent:
    • Attention to detail
    • Customer Service Orientation
    • Communication with technical and nontechnical stakeholders
    • Follow-through and accountability
    • Documentation discipline
    • Curiosity and problem-solving ability
    • Ability to work in a lean, changing team environment

Required Education, Experience, Certifications, and Licenses:

  • Bachelor's degree required; equivalent experience may be considered.
  • Degree fields may include:
    • Health Informatics
    • Healthcare Administration
    • Data Analytics
    • Data Science
    • Public Health
    • Finance
    • Information Systems
    • Business Analytics
    • Computer Science
    • Or related fields
  • Minimum:
    • 3+ years of experience in healthcare reporting, business intelligence, informatics, analytics, finance anal¡ics, quality reporting, or a related data role.
    • Experience using Snowflake for data analysis, querying, validation, reporting, or dashboard support.
    • Experience using SQL for reporting, data extraction, validation, or discrepancy analysis.
    • Experience supporting reports, dashboards, recurring analytics, or operational reporting processes.
  • Required experience:
    • Healthcare, healthcare operations, clinical reporting, finance reporting, quality reporting, public
    • health, or healthcare informatics environment.
    • Power BI, Excel, SQL, and Snowflake-based reporting or analytics support.
    • Data validation, source-to-report reconciliation, and documentation.
    • Strongly preferred:
    • FQHC, community health, or public health experience.
    • HRSA / UDS reporting experience.
    • Grants reporting experience.
    • Clinical quality measure / CQM reporting experience.
    • Provider productivity reporting experience.
    • Pharmacy or 3408 reporting experience.
    • Revenue cycle or payer mix reporting experience.
    • AthenaOne, AthenaOne DataView, Azara DRVS, or similar healthcare reporting platform experience.