modeling and simulation analyst

Trideum Corporation

<div><p><b>Principal Operations Research Analyst</b><br>
Full-time<br>
<b>Charlottesville, VA or Northern Virginia area</b></p>
<p><b>About Us</b></p>
<p>Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.</p>
<p><b>Position Summary</b></p>
<p>We are seeking candidates who are passionate about applying operations research principles to develop innovative solutions to complex problems, enabling our customers to make data-driven and analytically-informed decisions. The ideal candidate will have proficiency with multi-attribute decision-making methodologies, creating and managing study plans, collaborating with distributed stakeholders, and applying quantitative and qualitative techniques to support key leader decisions. Additionally, the ideal candidate will have a background in modeling and simulations (M&amp;S), as well as experience with intelligence organizations and systems.</p>
<p>The selected candidate will either work on-site in Charlottesville, VA, or work remotely in the Northern Virginia area, with an expectation to travel to Charlottesville as needed, up to 25%. The person in this role will be responsible for creating a study plan, developing all appropriate measures of effectiveness and performance, build a data collection plan, and conduct the appropriate analysis. The person will also be expected to utilize existing M&amp;S tools to generate input into the data collection plan. This person will work closely with NGIC partners during the development of the study plan and the M&amp;S tools required to support.
</p><p>This is an exciting opportunity for a successful applicant to have a significant and lasting impact on the Army Intelligence Enterprise by building a novel framework upon which capabilities can be evaluated using authoritative data and validated M&amp;S products. The selected candidate will merge expertise in operations research, M&amp;S, intelligence, and team leadership.
</p><p><b>What You&rsquo;ll Do</b></p>
<ul><li>Utilize quantitative and qualitative analytic techniques to develop and execute study plans, with an emphasis on multi-attribute decision making and value added analysis. Apply trade-off and sensitivity analysis to give options to decision-makers.</li>
<li>Engage with M&amp;S developers and owners of authoritative data in order to use M&amp;S outputs to inform study objectives. Work directly with data producers of M&amp;S representing key intelligence systems. Ensure threat and operational environment representations are realistic and robust.
</li><li>Collaborate with Army Intelligence organizations to establish key stakeholder priorities, to understand organizational and system level requirements, and to ensure the intelligence process is adequately represented.</li>
<li>Conduct cost assessments to inform feasibility studies, budgetary impacts of varying options, and inform trade-off space.</li>
<li>Prepare technical reports of the analytic effort, to include periodic progress reports, executive summaries, and a final report.
</li><li>If residing in Charlottesville, VA, travel less than 10% may be required. If residing in Northern Virginia, travel up to 25% may be required, which includes routine travel to Charlottesville, VA.</li>
</ul>
<p><b>Requirements and Qualifications</b></p>
<ul><li>MS degree or higher from an accredited institution in a technical discipline, preferably Mathematics, Operations Research, Engineering, Modeling and Simulation, Data Science, Information Systems, or other related field.</li>
<li>8+ years experience working in operations research, modeling and simulation, engineering, or other related field.</li>
<li>Expertise in data science, analysis, and visualization.</li>
<li>Demonstrated ability to solve technical and operational problems independently and within a team setting.</li>
<li>Excellent written and oral communication skills.</li>
<li>Familiarity with DoW and Army systems and processes.</li>
<li>US citizenship with an active Top Secret security clearance, with the ability to obtain SCI eligibility.</li>
</ul>
<p><b>We Take Care of Our People</b></p>
<p>Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:
</p><ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
<p><b>Ready to Apply?</b></p>
<p>Start Your Application now!</p>
<p><b>Equal Opportunity Employer</b></p>
<p>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</p></div>

Principal Operations Research Analyst

Ardent Health Services

<div>Overview:
<div>
Ardent Health is a leading provider of healthcare in growing mid-sized urban communities across the U.S. With a focus on people and investments in innovative services and technologies, Ardent is passionate about making healthcare better and easier to access. Through its subsidiaries, Ardent delivers care through a system of 30 acute care hospitals, 24,000+ team members and more than 280 sites of care with over 1,800 affiliated providers across six states.</div><div></div><div><b><br>
POSITION SUMMARY:</b></div><div></div><div><br>
The <b>Contract Modeling Analyst</b> will provide decision support to management for new and or changing reimbursement rates. In coordination with Managed Care, the Contract Modeling Data Analyst will provide modeling scenarios needed during contract negotiations by using both complex data models and a contract modeling system. This position will analyze yields of scenarios and monitor the alignment of billing with contract terms and assist in developing rates and terms within the contract management system to meet targeted increases. Analysis of service lines and cost components is also an integral part of this position.</div>
Responsibilities:<br>
<div></div><ul><li>
Conducts financial modeling, analysis and reporting related to managed care contract negotiations</li><li>
Concisely summarizes and communicates the results of modeling activities in time sensitive environment</li><li>
Maintains working knowledge of current Modeling, Data Warehouse and Patient Accounting systems.</li><li>
Mine data from multiple sources with multiple criterion and performing detailed analysis to verify the completeness and accuracy of the data and evaluate the data in the context of the designated project.</li><li>
Performs review of contracts and monitor financial performance and compliance to negotiated rates to ensure net revenue was realized to aid in preparation of upcoming negotiations.</li><li>
Assists with contract negotiation process by analyzing trends in current reimbursement and potential changes needed to have positive impact or improvement to reimbursement.</li><li>
Analyzes service line information by payer to understand volumes and rate shortfalls compared to costs.</li><li>
Prepares ad hoc reports around payer performance.</li><li>
Fosters relationships with facility/market and corporate personnel to understand market operations and similarities with payer contracts.</li><li>
Coordinates with other Contract Management staff for understanding of contract intent when programming rates into the Production contract management system.</li></ul>
Qualifications:
<div><b>
Education &amp; Experience:</b></div><ul><li>
Bachelor's Degree.</li><li>
4+ years of analytical experience in financial analysis, health care pricing, network management, health care economics</li><li>
2+ years of experience in creating and using financial modeling tools, spreadsheets or other related systems/tools including experience in interpreting modeling results to inform decisions in negotiations</li><li>
Experience working with data integration and self-service data preparation, models, and analytics.</li><li>
Accounting, Finance or Business degree, preferred.</li><li>
Epic Patient Accounting system, Nthrive Contract Management, and SAP Business Objects experience, preferred.</li></ul><div><b>
Knowledge, Skills &amp; Abilities:</b></div><ul><li>
Ability to plan and accomplish goals with the ability to prioritize assignments, deal with interruptions and meet deadlines with limited supervision in a fast-paced and growth-oriented environment.</li><li>
Knowledge of Payer products and product differentials</li><li>
Understands details of various reimbursement methodologies common to managed care payers as well as Government payers</li></ul></div>

Contract Modeling Analyst

Global Payments

<div><p>Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.
</p><p></p><p>Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our products and unmatched services. Simply, we create meaningful technology‑centered experiences that enable our customers to prosper. If you want to work like an entrepreneur, support and serve entrepreneurs, and bring your expertise to a dynamic team, then Global Payments is for you. If it's in your nature to work with passion to provide tangible solutions for everyone you interact with, then join us and let's see what we can do together.</p><h2 class="jobSectionHeader"><b><br>
Summary of This Role</b></h2><p><br>
We&rsquo;re ready to take our Voice of the Customer (VoC) capabilities to the next level and this role is central to making that happen. The CX Research &amp; Modeling Analyst will be a technical owner and architect of our AI enterprise text analytics program within Qualtrics Engage / XM Discover. You&rsquo;ll use natural language processing (NLP) and machine learning to build rule‑based topic models, tagging structures, and sentiment intelligence that turn unstructured customer feedback into consistently organized, accurate, and actionable insights across a diverse, multi‑line business.</p><p><br>
This is an exciting opportunity to design from the ground up. You&rsquo;ll work closely with CX researchers, analysts, and business stakeholders to understand customer needs, uncover pain points, and support the systems that help improve satisfaction, loyalty, and long‑term retention. While others create dashboards and executive insights, you&rsquo;ll build the foundation that makes those insights possible.</p><p><br>
If you love working with technology to solve complex problems, organize data, and build scalable systems that elevate the customer voice, this role is the engine behind that mission.</p><p><br>
Reports to: Manager, CX Research, Operations &amp; Design<br>
Location: Hybrid role, requiring 3 days in office at any Global Payments location in the U.S.</p><h2 class="jobSectionHeader"><b><br>
What Part Will You Play?</b></h2><ul><li><p>
Create the design and optimization of text analytics models in Qualtrics Engage / XM Discover, with a focus on rule‑based topic modeling, taxonomy development, sentiment, effort, emotion, and tagging standards.</p></li><li><p>
Build scalable frameworks across multiple business units, ensuring consistency, clarity, and alignment within a complex and growing VoC landscape.</p></li><li><p>
Develop and maintain taxonomy and governance, including naming conventions, rulesets, documentation, and quality controls that keep our programs aligned across teams.</p></li><li><p>
Ensure the accuracy and integrity of classification by regularly performing model audits and ongoing maintenance to improve model capture and precision rates.</p></li><li><p>
Collaborate with other members of the CX team to make sure models reflect the real experience of our customers and support key measures like NPS, CSAT, CES, Exit Survey responses, and at‑risk behavior indicators.</p></li><li><p>
Partner with business stakeholders to understand their needs, gather domain knowledge, and ensure text analytics structures appropriately support product, service, and experience priorities.</p></li><li><p>
Own project timelines and execution for text analytics development across different business units, ensuring timely updates and alignment with rollout plans.</p></li><li><p>
Support the broader CX team on select research projects such as journey mapping, qualitative interviews, or deep‑dive analysis.</p></li><li><p>
Create and maintain clear documentation that enables others to understand the structure, purpose, and application of models and taxonomies.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What Are We Looking For in This Role?</b></h2><h3 class="jobSectionHeader"><b>
Minimum Qualifications</b></h3><ul><li><p>
2+ years of experience in text analytics, customer experience or Voice of the Customer analytics, or similar roles.</p></li><li><p>
Hands‑on working expertise in Qualtrics Engage, XM Discover, Medallia, or similar software, including building rule‑based topic models, tagging structures, and taxonomy frameworks.</p></li><li><p>
Working knowledge of natural language processing (NLP) principles and the role of machine learning in text classification, topic modeling, and sentiment analysis.</p></li><li><p>
Strong understanding of CX metrics and surveys such as NPS, CSAT, CES, Exit Surveys, and how these relate to customer behaviors and business outcomes.</p></li><li><p>
Ability to gather stakeholder input, understand business context, and translate feedback into structured model updates.</p></li><li><p>
Solid proficiency with Microsoft Excel and comfort with the broader Microsoft toolset.</p></li><li><p>
Familiarity with basic research methodologies, such as survey design principles or bias mitigation, to ensure models reflect sound measurement practices.</p></li><li><p>
Strong project management skills, able to manage concurrent timelines and deliver predictable execution in a fast‑moving environment.</p></li><li><p>
High attention to detail with a systems‑thinking mindset; able to organize complexity into clear, repeatable structures.</p></li><li><p>
Bachelor&rsquo;s degree in a related field (e.g., Business, Data Analytics, Information Systems, Psychology/Sociology) or equivalent experience.</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><p>
Experience in Payments, FinTech, and/or POS systems, particularly supporting SMB customers.</p></li><li><p>
Background in designing or governing enterprise-level taxonomies or text analytics structures across multiple business units.</p></li><li><p>
Exposure to call center or chat‑based CX feedback (even if not hands‑on experience building models).</p></li><li><p>
Familiarity with mixed‑methods CX research processes such as journey mapping, qualitative interviewing, or thematic coding.</p></li><li><p>
Ability to connect customer signals to business implications with a practical, realistic view of what the organization can act on.</p></li><li><p>
Comfort partnering with BI or data teams; familiarity with basic data modeling concepts<b>.</b></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><p>
Global Payments offers a comprehensive benefits package to all of our team members, including medical, dental and vision care, EAP programs, paid time off, recognition programs, retirement and investment options, charitable gift matching programs, and worldwide days of service. To learn more, review our Benefits page at: https://jobs.globalpayments.com/en/why-global-payments/benefits/</p><p></p><p><b>
$50,000 - $60,000</b><br>
<b>The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.</b></p><p></p><h2 class="jobSectionHeader"><b>
Equal Employment Opportunity</b></h2><p>
Global Payments is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.</p><p></p><p>
#LI - Hybrid</p><p>
Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact jobs@globalpay.com.</p></div><p></p>

CX Research & Modeling Analyst

The University of Texas Rio Grande Valley

<p></p><div><div><div><div><div><div><div><div><b>Location</b></div> <div>Brownsville, Texas</div>
</div><br>
<div><div><b>College</b></div> <div>College of Engineering and Computer Science</div>
</div><br>
<div><div><b>Department</b></div> <div>College of Engineering and Computer Science / Informatics &amp; Engineering Systems</div>
</div><br>
<div><div><b>Division</b></div> <div>Provost - Academic Affairs</div>
</div><br>
<div><div><b>FTE</b></div> <div>.5</div>
</div><br>
<div><div><b>Scope of Job</b></div>
<div>The Graduate Research Assistant (GRA) will be based at the Brownsville campus and will support an NSF-funded project on understanding tremor propagation (TP) in the human upper limb through advanced musculoskeletal modeling, muscle fatigue modeling, and simulation of tremor-suppression devices. The maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.</div>
</div><br>
<div><div><b>Discipline Specific Required Qualifications</b></div>
<div><div>The GRA position is open to master&rsquo;s students in <b>Mechanical Engineering</b> or <b>Electrical Engineering</b>. Candidates should have experience or strong interest in at least one of the following areas:</div><ul>
<li>System dynamics and control</li>
<li>Biomechanics and musculoskeletal modeling</li>
<li>MATLAB/Simulink, OpenSim, or similar modeling tools</li>
<li>Robotics, mechatronics, or rehabilitation devices</li>
<p></p>
</ul><div>Duties will include literature review, modeling and simulation of tremor propagation, analysis of muscle fatigue and tremorogenic muscles, and assisting in the simulation of tremor-reduction devices such as orthoses or functional electrical stimulation (FES) systems.</div></div><br>
<div></div>
</div><br>
<div><div><b>Preferred Qualifications</b></div>
<div><ul><li>Coursework or project experience in dynamics, control, modeling, and simulation</li>
<li>Familiarity with computational modeling software (e.g., MATLAB, Simulink, OpenSim).</li>
<li>Interest in rehabilitation robotics or medical devices</li>
<li>Strong communication and teamwork skills</li></ul></div><br>
<p></p>
</div><br>
<div><div><b>Salary </b></div><div>Commensurate with experience.</div>
</div><br>
<div><div><b>Number of Vacancies</b></div> <div>1</div>
</div><br>
<div><div><b>Desired Start Date</b></div> <div>06/01/2026</div>
</div><br>
</div></div></div><div><div>Posting Detail Information
</div><p></p><div><div><div><div><b>EEO Statement</b></div>
<div>It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.</div>
</div><br>
<div><div><b>Open Date</b></div> <div>05/07/2026</div>
</div><br>
<div><div><b>Special Instructions to Applicants</b></div>
<div>All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu. If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application. A Criminal Background Check must be conducted for all applicants.</div></div></div></div></div></div></div></div><p></p>

Research Assistant_Informatics & Engineering Systems

Nyla Technology Solutions

Job Description
<br><br>
We are pursuing individual(s) for the position of Operations Research Analyst Level 2. If this position sounds like a good fit and you have a track record of delivering solid results, please apply.
<br><br>
The annual base salary range for this role is $193,000-$238,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
<br>,
<br>Required Skills
<br><br>
Operations Research Analyst shall possess the following capabilities:
<br><ul>
<li>Research architectures</li>
<li>Gathers Data needed to run models</li>
<li>Develop mathematical or simulation modeling prototypes</li>
<li>Maintain/update scenario runs</li>
<li>Run the selected mathematical or simulation models</li>
<li>Prepare reports defining the problem, its evaluation, and possible solutions</li>
<li>Evaluate implementation and effectiveness of research</li>
<li>Design and evaluate operational models where limited data is available</li>
</ul>
<b>Qualifications:</b><br>
Bachelor’s degree from an accredited college or university in Operations Research, Industrial Engineering Management Science or related discipline and ten (10) years of experience in conducting analyses of management and operational problems using Operations
<br>Research techniques or a Master’s degree from an accredited college or university in Operations Research, Industrial Engineering Management Science, or related discipline and three (3) years of experience in conducting analyses of management and operational problems using Operations Research techniques; or a Doctorate degree from an accredited college or university in Operations Research, Industrial Engineering Management Science, or related discipline and one (1) year of experience in conducting analyses of management and operational problems using Operations Research techniques is required.
<br><br>
<ul>
<li>Experience conducting problem definition and gathering data requirements from stakeholders</li>
<li>Oral and written communications skills to explain data analysis to stakeholders 10+ years of experience with conducting analysis of management and operational problems using operations research techniques</li>
<li>4+ years of experience with the application of modeling and simulation to address decision analysis problems</li>
<li>4+ years of experience conducting multiple objective decision analysis or cost benefit analysis in support of research objectives</li>
<li>4+ years of experience with PANDAS, R, Excel and VBA, ARENA, OCTAVE, Tableau, Gurobi and CPLEX, EXTENDSIM, SAS, NETICA, stats models, Stata, MATLAB, or SPSS TS/SCI clearance with a polygraph</li>
</ul>
,
<br>Desired Skills
<br><br>
<ul>
<li>Experience with developing and performing verification and validation of models to ensure adequacy</li>
<li>Experience developing and delivering training materials for operations research techniques</li>
<li>Experience briefing results and preparing written reports on analytic approaches and methodologies</li>
<li>Experience with the use of machine learning and large language models to solve complex problems</li>
<li>Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field</li>
</ul>
,
<br>About Nyla Technology Solutions
<br><br>
Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.
<br><br>
If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,
<br><br>
Taking Care of All of You
<br>Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.
<br><br>
The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.
<br><br>
PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
<br><br>
LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!
<br><br>
SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!
<br><br>
WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.
<br><br>
To learn more about Nyla's culture and our exceptional benefit packages click here.
<br>Nyla is an equal opportunity employer.

Operations Research Analyst Level 2

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Senior Data Analyst (Logistics Analytics),
 </strong>
 you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you&rsquo;ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Own a logistics problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.
  </li>
  <li>
   Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.
  </li>
  <li>
   Apply advanced analytical methods, including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning.
  </li>
  <li>
   Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
  </li>
  <li>
   Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
  </li>
  <li>
   Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.
  </li>
  <li>
   Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
  </li>
  <li>
   Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 Find out more about our Data Analytics folks here:
 <br/>
 <br/>
 <ul>
  <li>
   Turn insights into impact!
  </li>
  <li>
   Looking for a career in data analytics? This could be the opportunity for you!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience, with 5&ndash;8 years of experience in analytics or data science.
  </li>
  <li>
   Proven experience in logistics, supply chain, or operations analytics, with a track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.
  </li>
  <li>
   Strong technical proficiency in SQL and Python, with experience working with large-scale datasets (e.g., writing efficient queries, optimizing performance, working with NoSQL or distributed data systems).
  </li>
  <li>
   Experience working with modern data platforms, preferably within the Google Cloud ecosystem (e.g., BigQuery, Vertex AI, Google Colab, Google Sheets), or similar cloud-based data stacks.
  </li>
  <li>
   Experience applying advanced analytical methods, including simulation, optimization, and statistical modeling to real-world business problems.
  </li>
  <li>
   Experience in causal inference and experimentation, including designing and analyzing experiments (e.g., A/B, cluster, switchback) and applying quasi-experimental methods (e.g., DiD, synthetic controls).
  </li>
  <li>
   Strong problem-solving and problem structuring skills, with the ability to independently navigate ambiguity and translate business questions into robust analytical approaches.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A dynamic and challenging work environment.
  </li>
  <li>
   A company committed to developing you personally and professionally.
  </li>
  <li>
   A great working atmosphere with regular company and team events.
  </li>
  <li>
   A vibrant and international team committed to diversity and inclusion.
  </li>
  <li>
   Responsibility from day one in a fast growing and global company.
  </li>
  <li>
   Other benefits include free food, health and dental insurance, and learning and development opportunities!
   <br/>
   <br/>
  </li>
 </ul>
 foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.
 <br/>
 <br/>
 In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.
</div>


Senior Data Analyst (Logistics Analytics)

Delivery Hero

<div><b>Company Description</b><p><br>
foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><b><br>
Job Description</b><p><br>
As a <b>Senior Data Analyst (Logistics Analytics), </b>you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you&rsquo;ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.</p><ul><li><b>
Own a logistics problem domain end-to-end, </b>framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, and service performance.</li><li><b>
Act as a thought partner to business and domain leads, </b>shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact logistics challenges.</li><li><b>
Apply advanced analytical methods, </b>including simulation, optimization, and statistical modeling, to solve complex problems such as fleet sizing, routing, staffing, and demand planning<b>.</b></li><li><b>
Determine causal impact in operational environments,</b> designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.</li><li><b>
Build and scale data products and analytical tools,</b> leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.</li><li><b>
Drive exploratory and root cause analyses,</b> identifying performance drivers and uncovering opportunities for optimization across the logistics value chain.</li><li><b>
Collaborate cross-functionally with data and engineering teams, </b>contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.</li><li><b>
Communicate with clarity and influence,</b> translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.</li></ul><p></p><p><br>
Find out more about our Data Analytics folks here:</p><ul><li>
Turn insights into impact!</li><li>
Looking for a career in data analytics? This could be the opportunity for you!</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s degree in a quantitative field (e.g., Statistics, Operations Research, Mathematics, Computer Science, Engineering) or equivalent practical experience, with <b>5&ndash;8 years of experience in analytics or data science.</b></li><li><b>
Proven experience in logistics, supply chain, or operations analytics, </b>with a track record of solving problems such as fleet sizing, routing, staffing, or demand planning and delivering measurable business impact.</li><li><b>
Strong technical proficiency in SQL and Python,</b> with experience working with large-scale datasets (e.g., writing efficient queries, optimizing performance, working with NoSQL or distributed data systems).</li><li><b>
Experience working with modern data platforms, </b>preferably within the Google Cloud ecosystem (e.g., BigQuery, Vertex AI, Google Colab, Google Sheets), or similar cloud-based data stacks.</li><li><b>
Experience applying advanced analytical methods,</b> including simulation, optimization, and statistical modeling to real-world business problems.</li><li><b>
Experience in causal inference and experimentation, </b>including designing and analyzing experiments (e.g., A/B, cluster, switchback) and applying quasi-experimental methods (e.g., DiD, synthetic controls).</li><li><b>
Strong problem-solving and problem structuring skills,</b> with the ability to independently navigate ambiguity and translate business questions into robust analytical approaches.</li></ul><br>
<b>
Additional Information</b><p><b><br>
What we offer:</b></p><ul><li>
A dynamic and challenging work environment.</li><li>
A company committed to developing you personally and professionally.</li><li>
A great working atmosphere with regular company and team events.</li><li>
A vibrant and international team committed to diversity and inclusion.</li><li>
Responsibility from day one in a fast growing and global company.</li><li>
Other benefits include free food, health and dental insurance, and learning and development opportunities!</li></ul><p>
foodpanda is operated by Delivery Hero Group (&ldquo;DH Group&rdquo;) - the world&rsquo;s leading local delivery platform, operating in 70+ markets across Asia, Europe, Latin America, the Middle East, and Africa. Delivery Hero started as a food delivery service in 2011 and now employs 40,000+ people globally. Additionally, Delivery Hero is pioneering quick commerce, the next generation of e-commerce, aiming to bring groceries and household goods to customers in under one hour and often in 20 to 30 minutes. Headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017.</p><p>
In July 2024, Delivery Hero SE merged three of its market-leading food delivery businesses, foodora and Yemeksepeti in Europe, and foodpanda in Asia. All three businesses now make up the second-largest organization within the Delivery Hero Group, and leading food and QCommerce delivery in 16 markets in both regions.</p></div>

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