2

Entry Level Data Analytics Architect Jobs (NOW HIRING)

The Role A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong ...

Career growth opportunities within data analytics, business intelligence, data management, and reporting disciplines. Location: Birmingham, AL Schedule: Hybrid/Onsite Experience Level: Entry-Level (0 ...

Be Seen First

Junior Data Analyst

Newark, NJ · On-site

$30 - $40/hr

Entry Level Data Engineer Full-Time Candidate must be open to relocate Responsibilities: * Work ... Write and execute SQL queries to extract, transform, and analyze data. * Create and maintain Hive ...

New

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn ... The Role A Portfolio Analytics Architect is responsible for leading the data validation process end ...

The Data Analyst I performs entry-level data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data and providing results. Works under close ...

We are seeking a developer to join the data analytics team with at least 12 years of software ... Contribute to design discussions and decisions on application architecture and development ...

We are seeking a developer to join the data analytics team with at least 12 years of software ... Contribute to design discussions and decisions on application architecture and development ...

Showing results 21-40

Entry Level Data Analytics Architect information

See salary details

$10

$69

$94

How much do entry level data analytics architect jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for entry level data analytics architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Data Analytics Architect jobs?

The most popular types of Data Analytics Architect jobs are:

Infographic showing various Entry Level Data Analytics Architect job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data & Analytics Analyst

Endo International

Hazelwood, MO • On-site

Full-time

Posted 6 days ago


Job description

Why Us?

At Par Health, we believe great healthcare is built on getting the essentials right. We're looking for passionate, talented individuals who share our commitment to improving lives. With a global workforce, we lead with pride and purpose-prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork. Elevating the Essentials isn't just our tagline, it's the higher standard we live by every day.

Job Description Summary

The Data & Analytics Associate supports the Data, Analytics & Automation Center of Excellence by assisting with reporting, dashboard development, data preparation, data quality activities, business analysis and automation initiatives. This role works closely with data engineers, analytics architects, BI developers and business stakeholders to help deliver trusted data products, analytics solutions and automation opportunities across the organization.
This is a developmental role intended to provide broad exposure to modern data platforms, Power BI, Microsoft Fabric, Power Platform and Microsoft Copilot technologies while building foundational technical, analytical and business skills.

Job Description

Data Analysis & Reporting

  • Assist in the development and maintenance of Power BI dashboards, reports and scorecards.
  • Create basic visualizations, KPI tracking reports and recurring analytics summaries.
  • Support business users in understanding available reports, datasets and data assets.
  • Validate report results and investigate apparent data discrepancies or unusual trends.
  • Perform ad hoc analysis to support business questions, operational reviews and decision-making.
Data Management & Quality
  • Support data cleansing, validation, profiling and quality improvement activities.
  • Assist with documenting data definitions, source systems, business rules and KPI calculations.
  • Help maintain metadata, data catalogs, dashboard inventories and data asset documentation.
  • Participate in testing datasets, pipelines, reports and data transformations prior to release.
  • Escalate data quality issues and support root-cause analysis with senior technical team members.
Automation & Process Improvement
  • Help identify opportunities for workflow improvement, report automation and manual-effort reduction.
  • Assist with development, testing and support of Power Automate flows and lightweight Power Platform solutions.
  • Support Power Apps and low-code tools used by business teams, under guidance from senior developers.
  • Document current-state processes, business requirements and success criteria for automation use cases.
  • Participate in user acceptance testing and post-deployment support for automation solutions.
Business Engagement & CoE Operations
  • Gather and document business requirements for reporting, analytics and automation requests.
  • Support the CoE intake process, request tracking, prioritization preparation and status reporting.
  • Assist with training materials, quick reference guides, knowledge articles and user communications.
  • Maintain solution documentation, meeting notes, action items and delivery artifacts.
  • Contribute to governance standards, templates and continuous improvement practices for the CoE.
Copilot and AI-Enabled Analytics Requirements
  • Demonstrated interest in Microsoft Copilot, generative AI and AI-enabled productivity tools.
  • Ability to use Microsoft 365 Copilot or comparable AI tools to improve documentation, analysis, meeting preparation, summarization and communication tasks.
  • Willingness to learn Power BI Copilot, Fabric Copilot, Copilot Studio and related Microsoft AI capabilities as the CoE matures.
  • Ability to validate AI-generated outputs against trusted data sources, documented definitions and business context before reuse or publication.
  • Ability to help business users understand effective prompting, responsible AI usage and appropriate limits of Copilot-generated insights.
  • Interest in supporting Copilot adoption by creating examples, quick tips, training materials and use-case documentation.

Education & Experience

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or a related field; equivalent education and experience may be considered.

0 to 3 years of experience in data analytics, reporting, business intelligence, information technology, business analysis or a related area. Internship or project experience is acceptable.

Knowledge

Familiarity with Power BI or a comparable reporting/visualization tool.

Basic understanding of databases, data relationships, reporting concepts and data quality principles.

Demonstrated curiosity, attention to detail and willingness to learn new technical tools.

Skills & Abilities

  • Strong Excel skills, including formulas, tables, pivots and basic data analysis techniques.
  • Basic SQL experience or demonstrated ability to query and work with structured datasets.
  • Strong written and verbal communication skills with the ability to ask good questions and document findings clearly.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

EEO Statement:

We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.