data analytics engineer

ShadowObjects, LLC

<div><p><b>Job Title:</b> Data Analytics Engineer<br>
<b>Clearance Requirement:</b> Active DoD Secret Clearance required<br>
<b>Location:</b> Remote / Pentagon</p><p></p><h3 class="jobSectionHeader"><b>
Position Overview</b></h3><p>
The Data Analytics Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.</p><p>
This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><p><b>
Data Analysis &amp; Insights</b></p><ul><li>
Gather, clean, and analyze complex datasets using advanced analytical techniques</li><li>
Apply statistical methods to identify trends, patterns, and anomalies</li><li>
Conduct exploratory data analysis (EDA) to support decision-making</li><li>
Translate data findings into actionable insights for technical and non-technical stakeholders</li></ul><p><b>
Data Engineering &amp; Pipeline Development</b></p><ul><li>
Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake</li><li>
Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability</li><li>
Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)</li><li>
Build and maintain data pipelines within DoD environments such as Advana/Jupiter</li><li>
Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions</li></ul><p><b>
Data Visualization &amp; Reporting</b></p><ul><li>
Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry</li><li>
Create interactive dashboards and reports to support operational and strategic decisions</li><li>
Ensure accuracy, quality, and usability of all data visualizations and deliverables</li></ul><p><b>
Integration &amp; System Support</b></p><ul><li>
Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions</li><li>
Support real-time data streaming using Databricks Structured Streaming</li><li>
Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)</li></ul><p><b>
Governance &amp; Compliance</b></p><ul><li>
Maintain data lineage and governance using tools such as Collibra</li><li>
Ensure compliance with data security, privacy, and DoD requirements</li><li>
Establish and enforce data quality standards across multiple data sources</li></ul><p><b>
Collaboration &amp; Communication</b></p><ul><li>
Work closely with cross-functional teams to gather and refine requirements</li><li>
Communicate findings, recommendations, and metrics clearly and professionally</li><li>
Track assigned tasks and provide regular updates to leadership</li><li>
Mentor junior team members and support team development initiatives</li></ul><p></p><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Active DoD Secret Clearance</li><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field</li><li>
5+ years of experience in data engineering and building data pipelines and architectures</li><li>
5+ years of experience in data analysis, data mining, or business intelligence</li><li>
3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)</li><li>
Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Familiarity with big data frameworks (Hadoop, Spark, Kafka)</li><li>
Strong understanding of ETL processes, data warehousing, and BI best practices</li><li>
Proven ability to analyze large datasets and communicate insights effectively</li><li>
Strong problem-solving skills and attention to detail</li><li>
U.S. work authorization required</li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Master&rsquo;s degree in Data Engineering, Computer Science, or related field</li><li>
Experience with DoD data platforms such as Advana and Jupiter</li><li>
Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)</li><li>
Experience with SAP, Foundry, or advanced analytics platforms</li><li>
Experience with NoSQL databases (e.g., Cassandra, MongoDB)</li><li>
Knowledge of containerization tools (Docker, Kubernetes)</li><li>
Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)</li><li>
Prior experience in a client-facing government environment</li></ul><p></p><h3 class="jobSectionHeader"><b>
Equal Employment Opportunity Statement</b></h3><p>
ShadowObjects, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.</p></div>

Data Analytics Engineer

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>04/03/2026</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>4-5 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Ar Riyad</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div>Job Overview:<br>
</div><div>
We are looking for a detail-oriented and analytical <b>Data Analytics Engineer</b> with <b>3+ years of experience</b> in data analysis, reporting, and dashboard development. The ideal candidate should have strong hands-on experience in <b>Power BI</b>, data modeling, SQL, and transforming raw data into meaningful business insights to support decision-making.</div><div></div><p><b><br>
Key Responsibilities:</b></p><br>
<ul><li>
Develop, maintain, and optimize <b>interactive dashboards and reports in Power BI</b>.<br>
</li><li>
Gather, analyze, and interpret data from multiple sources to provide actionable insights.<br>
</li><li>
Design and implement <b>data models, DAX measures, and calculated fields</b> in Power BI.<br>
</li><li>
Create <b>ETL / data transformation workflows</b> using Power Query and SQL.<br>
</li><li>
Work closely with business stakeholders to understand reporting requirements and translate them into dashboards.<br>
</li><li>
Ensure data accuracy, consistency, and integrity across reports and systems.<br>
</li><li>
Monitor report performance and improve dashboard usability and visualization standards.<br>
</li><li>
Support ad hoc data analysis requests and generate periodic MIS reports.<br>
</li><li>
Collaborate with cross-functional teams including IT, business, and operations teams.</li></ul><p><b><br>
</b><br>
</p><div></div><br>
<br>
<h3 class="jobSectionHeader"><b>Requirements</b></h3><ul><li>
3+ years of experience in <b>Data Analytics / BI Engineering / Reporting</b><br>
</li><li>
Strong expertise in <b>Power BI (Dashboards, DAX, Power Query, Data Modeling)</b><br>
</li><li>
Good experience in <b>SQL queries, joins, stored procedures, and data extraction</b><br>
</li><li>
Knowledge of <b>Excel (advanced formulas, pivot tables, data analysis)</b><br>
</li><li>
Understanding of <b>ETL processes and data warehousing concepts</b><br>
</li><li>
Strong analytical and problem-solving skills<br>
</li><li>
Good communication and stakeholder management skills</li></ul><p><b><br>
Preferred Skills:</b></p><br>
<ul><li>
Experience with <b>Python / Excel VBA / Tableau</b> is an added advantage<br>
</li><li>
Exposure to <b>Azure / cloud-based data platforms</b> preferred<br>
</li><li>
Knowledge of KPI reporting and business intelligence best practices</li></ul></div></div></div><p></p>

Oddball

<p>Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.</p><p>We're looking for a <b>Data Analytics Engineer</b> to support data reporting and analytics work on a VA program. You'll own Power BI reporting, work across complex data environments, and help drive the team's AI-forward data strategy.</p><p><b>What You&rsquo;ll Be Doing</b></p><ul><li>Building and maintaining <b>Power BI</b> dashboards and reports connected to multiple data sources</li><li>Writing and optimizing queries in <b>SQL (DML)</b> within <b>Databricks</b> or <b>Microsoft Synapse</b> environments</li><li>Developing and maintaining <b>Python</b> scripts and pipelines within <b>Databricks</b> or <b>Synapse</b></li><li>Authoring <b>DAX</b> measures and calculations to support reporting logic</li><li>Designing and interpreting data models using <b>Entity Relationship Diagrams</b> and normalization principles</li><li>Supporting AI/ML data initiatives aligned with VA's evolving data strategy</li></ul><p><b>What you&rsquo;ll bring:</b></p><ul><li>2&ndash;5 years of <b>Python</b> development experience in <b>Databricks</b> or <b>Microsoft Synapse</b></li><li>5+ years of <b>SQL (DML)</b> experience in <b>Databricks</b> or <b>Microsoft Synapse</b></li><li>2&ndash;5 years building <b>Power BI</b> reports and dashboards across varied data sources</li><li>Working knowledge of <b>Power BI DAX</b> and data modeling best practices</li><li>Familiarity with <b>ER diagrams</b> and Codd's normalization rules</li><li>VA or federal agency experience is a plus</li><li>Comfortable working remotely and communicating across distributed teams</li><li>Performs other related duties as assigned</li></ul><p><b>Requirements:</b></p><ul><li>Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.</li></ul><p><b>Education:</b></p><ul><li>Bachelor&rsquo;s Degree</li></ul><p><b>Benefits:</b></p><ul><li>Fully remote</li><li>Tech &amp; Education Stipend</li><li>Comprehensive Benefits Package</li><li>Company Match 401(k) plan</li><li>Flexible PTO, Paid Holidays</li></ul><p>Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing</p><p><b>Compensation:</b></p><p>At Oddball, it&rsquo;s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.</p><p>United States Wage Range: $90,000 &ndash; $120,000</p><p>Job Type: Full-time</p><p>Pay: $80,000.00 - $120,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Parental leave</li><li>Referral program</li><li>Vision insurance</li></ul><p>Work Location: Remote</p>

Northern Trust Corp.

<div><p><b>About Northern Trust:</b></p><p></p><p>
Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.
</p><p></p><p>Northern Trust is proud to provide innovative financial services and guidance to the world&rsquo;s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world&rsquo;s most sophisticated clients using leading technology and exceptional service.</p><p></p><p><b>
Title: Data Analytics Engineer</b></p><p></p><p><b>
Key skills required for the role:</b></p><ul><li>
Advanced data analytics skills using ML, AI and GenAI.</li><li>
Expertise in designing data driven AI solution for complex business needs.</li><li>
Investment Management or Asset Management experience recommended.</li><li>
Expert level understanding of relational database concepts, dimensional database concepts and database architecture and design, ontology and taxonomy design.</li><li>
Intellectual curiosity, inclination for independent and self-directed work, and attention to detail.</li><li>
Professional experience driving change, transformation, and process improvement initiatives.</li><li>
Manage relationships with stakeholders and executive leadership to achieve business outcomes</li><li>
Understanding of data security, cyber-security and PII management</li><li>
Deep understanding of relational and NoSQL data stores, methods and approaches.</li></ul><p></p><p><b>
Roles and Responsibilities:</b></p><ul><li>
Manage relationships with all stakeholders, with a focus on setting expectations and maintaining ongoing client satisfaction through effective project management and a strong commitment to customer service.</li><li>
Evangelize data strategist working through design, documentation, review and cross team negotiations to support strategic business and technology goals.</li><li>
Displays thought leadership in pursuit of modern architecture principals and technology</li><li>
Leads technology proof of concepts to ensure feasibility of architecture solutions.</li><li>
Provides architecture direction for engineers in support of a technical pattern.</li><li>
Drives continuous technology transformation to minimize technical debt. Continuously improve efficiency and effectiveness of the architecture.</li><li>
Looks for opportunities to capitalize on technology advances through analysis of key industry and technology trends to assess potential impact on the enterprise.</li><li>
Participates in defining target state technology architecture and roadmaps. Ensures alignment of IT initiatives with the target state.</li><li>
Contribute to a fast-paced Agile team and participate in multiple aspects of planning, documentation, execution, testing and launch of projects</li><li>
Interface with global teams to collaborative work on business deliveries.</li><li>
Strong grasp of value creation and business capability models for large scale technology platforms.</li></ul><p></p><p><b>
Experience :</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science or a related discipline is required.</li><li>
Seasoned expert with technical and business knowledge and functional expertise that has been developed over several years.</li><li>
Experience in systems analysis and application program development.</li><li>
Experience with project feasibility, definition requirements, design and/or project leadership.</li><li>
Experience with various technical programming languages, and phase report studies is required.</li></ul><p></p><p>
Salary Range:</p>
$114,500 - 194,700 USD<p></p><p><i>
Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life &amp; accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.</i></p><p></p><p><b>
Working with Us:</b></p><p></p><p>
As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.</p><p></p><p>
Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.</p><p></p><p>
We&rsquo;d love to learn more about how your interests and experience could be a fit with one of the world&rsquo;s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater</p><p></p><p><b>
Reasonable accommodation</b></p><p><br>
</p><p>Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.</p><p><br>
<br>
We hope you&rsquo;re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.</p><p></p><p>
Apply today and talk to us about your flexible working requirements and together we can achieve greater.</p></div>

Rivian

<div><div>The Durability Attribute engineers predict and test the range of loads and stresses Rivian vehicles will experience over life and need to be durable for&mdash;a challenging prediction problem with many unknowns. With access to large-scale vehicle fleet data and software-defined vehicles that offer greater scope for control and autonomy, vehicle durability is at the forefront of data-driven engineering at Rivian ensuring the &ldquo;Forever&rdquo; in Rivian&rsquo;s mission of Keeping the World Adventurous Forever.</div><div></div><div><br>
As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers. You will work with real-world, virtual, and vehicle test data, to identify, classify, and predict customer travel, driving, road surfaces, and other use cases, as well as undesirable events such as ground strikes or recovery events that impact loads on the vehicle and cause lifetime degradation. You will also develop and correlate a hybrid of data- and physics-based models to predict loads and vibrations at various suspension, body, and propulsion components to reduce the need for repeated complex-physics simulations and instrumented vehicle tests. Through your work, you will have the opportunity to improve process automation, efficiency, and standardization of vehicle durability target development.</div><br>
<ul><li>
Fleet Data Analytics:</li><li><ul><li>
Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets. Build classification models to identify usage archetypes, usage frequency, and their correlations.</li></ul></li><li>
Data-Driven Modeling and Standardization: ,</li><li><ul><li>
Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue damage, and vibration spectra from vehicle CAN data signals, wheel-force transducer data, or accelerometer data.</li><li>
Develop models to standardize vibration spectra at different vehicle locations across vehicle variants and platforms.</li><li>
Learn from simulation and test data to develop a library of regression models for variance in component loads and fatigue damage with variations in system design parameters and usage types.</li></ul></li><li>
Process Optimization:</li><li><ul><li>
Automate processes such as component block cycle development and accelerated duty cycle development from real-world duty cycle.</li><li>
Apply machine learning on past CAE results to develop ways to reduce the number of CAE test cases and runs.</li></ul></li></ul><br>
<ul><li>
Bachelor's degree in Mechanical Engineering, Aerospace Engineering, or Computer Science.</li><li>
A good understanding of vehicle physics and automotive engineering.</li><li>
Passion for Rivian&rsquo;s mission and commitment to fostering an inclusive, respectful, and collaborative workplace.</li><li>
1-3 years experience in data analytics for automotive or related engineering applications.</li><li>
Experience with Python (Pandas, Numpy), PySpark, Matlab, and SQL applied to big datasets. Project or research experience with large time series datasets is desired.</li><li>
Demonstrated expertise with various machine learning techniques applied to automotive use data, test data, or simulation data.</li><li>
Experience in fatigue life estimation (e.g., Rainflow counting, Miner&rsquo;s Rule) and statistical methods (e.g., Weibull analysis)</li><li>
Demonstrated experience in analytical writing (reports, white papers, publications) and clear-and-concise presentations, with attention to detail.</li></ul></div>

Durability Data Analytics Engineer

Integrated Diagnostics Holdings - IDH

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <span>
   We are seeking a highly skilled BI Engineer to join our Data Management team. The ideal candidate will play a key role in designing, developing, and maintaining our data pipelines, integrations, and reporting solutions. You will work closely with SAP modules, SAP BDC Data Warehouse, and modern platforms like SAP Datasphere and Databricks to ensure reliable data flow and insightful analytics.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Design, build, and optimize ETL processes to integrate data from SAP modules into SAP BDC Data Warehouse, SAP Datasphere, and Databricks.
   </span>
  </li>
  <li>
   <span>
    Develop and maintain data models that support business intelligence and analytics needs.
   </span>
  </li>
  <li>
   <span>
    Create interactive dashboards and reports using Power BI and SAP Analytics Cloud (SAC).
   </span>
  </li>
  <li>
   <span>
    Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
   </span>
  </li>
  <li>
   <span>
    Ensure data quality, consistency, and governance across all reporting layers.
   </span>
  </li>
  <li>
   <span>
    Implement best practices for data integration, performance tuning, and automation.
   </span>
  </li>
  <li>
   <span>
    Support ad-hoc data analysis and provide actionable insights to stakeholders.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Strong experience with SAP modules and SAP BDC Data Warehouse.
   </span>
  </li>
  <li>
   <span>
    Hands-on expertise in SAP Datasphere and Databricks.
   </span>
  </li>
  <li>
   <span>
    Proficiency in Power BI and SAP Analytics Cloud (SAC) for visualization.
   </span>
  </li>
  <li>
   <span>
    Solid knowledge of SQL for querying and data manipulation.
   </span>
  </li>
  <li>
   <span>
    Experience with Python for data processing, automation, and advanced analytics.
   </span>
  </li>
  <li>
   <span>
    Proven track record in ETL development, data integration, and system interoperability.
   </span>
  </li>
  <li>
   <span>
    Strong analytical and problem-solving skills with attention to detail.
   </span>
  </li>
  <li>
   <span>
    Ability to work collaboratively in a fast-paced environment.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Experience with cloud-based data platforms (Azure, AWS, or GCP).
   </span>
  </li>
  <li>
   <span>
    Familiarity with data governance frameworks and security best practices.
   </span>
  </li>
  <li>
   <span>
    Knowledge of machine learning basics for advanced analytics is a plus
   </span>
  </li>
 </ul>
</div>


CommonSpirit Health

<div><b>Job Summary and Responsibilities</b><div><br>
As an SSRM (Strategic Sourcing &amp; Resource Management) Data Analyticse Engineer, you will provide critical support and expert insights, transforming complex procurement and resource data into actionable intelligence to drive strategic decision-making and optimize operational efficiency.<br>
<br>
Every day you will expertly collect, analyze, and interpret large datasets related to sourcing, contracts, and resource utilization, identify trends and cost-saving opportunities, develop comprehensive reports and dashboards, and meticulously present findings to inform strategic sourcing initiatives.<br>
<br>
To be successful, you will demonstrate outstanding analytical capabilities, strong statistical and data visualization skills, and a meticulous, inquisitive demeanor, contributing significantly to cost optimization, supplier performance improvement, and effective resource management.</div><ul><li>
Develops analytic models to provide insight to supply chain contracting, savings opportunities and strategy development.</li><li>
Develop prototype analytics into mature production applications, with good reliability and support in changing conditions. Recommend improvements and manage the backlog and release schedule.</li><li>
Craft code that meets internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.</li><li>
Apply software engineering best practices, such as version control, testing and continuous integrations, to analytics code.</li><li>
Deliver well-defined, transformed, tested, documented, and code-reviewed data sets.</li><li>
Provide clean transformed data ready for analysis.</li></ul><br>
<b>
Job Requirements</b><div><br>
Required</div><ul><li>
Bachelors Other (BA/BS) in related field from four year college or university or An equivalent combination of education and experience may be considered, upon hire</li><li>
10 years of demonstrated analytical experience</li></ul><div><br>
Preferred</div><ul><li>
Masters Other or Post Graduate Degree in a related field (e.g., MBA) and Healthcare and supply chain experience, upon hire</li></ul><b>
Where You'll Work</b><div><br>
Inspired by faith. Driven by innovation. Powered by humankindness. CommonSpirit Health is building a healthier future for all through its integrated health services. As one of the nation&rsquo;s largest nonprofit Catholic healthcare organizations, CommonSpirit Health delivers more than 20 million patient encounters annually through more than 2,300 clinics, care sites and 137 hospital-based locations, in addition to its home-based services and virtual care offerings. CommonSpirit has more than 157,000 employees, 45,000 nurses and 25,000 physicians and advanced practice providers across 24 states and contributes more than $4.2 billion annually in charity care, community benefits and unreimbursed government programs. Together with our patients, physicians, partners, and communities, we are creating a more just, equitable, and innovative healthcare delivery system.</div><b><br>
Pay Range</b><br>
$49.78 - $74.05 /hour</div>

SSRM Data Analytics Engineer

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