data science analyst

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>233169
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Pilots &amp; Flight Operations
</div></div><div><div><ul><li>Closing Date: 2026-05-12</li></ul><br>
</div></div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div><div></div><div><div><div><div><p><b>About the role:</b></p><p>
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.</p><p>
As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage a broad toolkit; including machine learning, optimization techniques, root cause analysis, and rapid prototyping of decision‑support tools to transform data into actionable insights. Working closely with cross‑functional teams, you will deliver high‑impact analyses and provide clear, strategic recommendations to Senior Management and key business stakeholders.</p><p><b>
Specific responsibilities for the role include:</b></p><ul><li><p>
Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.</p></li><li><p>
Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.</p></li><li><p>
Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations&rsquo; teams to understand contextual problems and deliver innovative solutions that address business needs.</p></li><li><p>
Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.</p></li><li><p>
Develop and deploy machine learning and optimization models.</p></li><li><p>
Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.</p></li><li><p>
Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.</p></li></ul><p><b>
Be part of an extraordinary story</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><p>
The successful candidate will have the following skills and qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.</p></li><li><p>
Minimum of 5 years of relevant experience and minimum 3 years&rsquo; experience in Data Science role.</p></li><li><p>
Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.</p></li><li><p>
Any certification in Data Science or Machine learning using any cloud platform is considered as an added advantage.</p></li><li><p>
Excellent presentation skills and data visualization.</p></li><li><p>
Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.</p></li><li><p>
Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.</p></li><li><p>
Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.</p></li><li><p>
Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.</p></li><li><p>
Experience with top-tier BI tools such as Qlik, Power BI, Tableau.</p></li><li><p>
Experience with the Skywise platform will be considered as an added advantage.</p></li><li><p>
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of Partners, Senior Managers, and Subject Matter Experts.</p></li></ul><p><b>
About Qatar Airways Group</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply</b><br>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=233169</div></div></div></div></div></div></div></div><div></div>

Senior Data Science Analyst

Mayo Clinic

<div><div><b>Why Mayo Clinic</b></div><div><br>
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans &ndash; to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.</div><div><br>
</div><div><b>
Benefits Highlights</b><br>
<ul><li>
Medical: Multiple plan options.</li><li>
Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>
Vision: Affordable plan with national network.</li><li>
Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>
Retirement: Competitive retirement package to secure your future.</li></ul></div><br>
<b>
Responsibilities</b><div><br>
Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.<br>
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.<br>
<br>
Other responsibilities:<br>
<ul><li>Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.</li><li>Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.</li><li>Executes analytical procedures in the framework of a specific project work request.</li><li>Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.</li><li>Contributes to the interpretation of data analysis and to writing reports.</li><li>Helps customers understand the data set and provide training and suggestions for improvement on the data request.</li><li>Leverages communication and interpersonal skills and works with subject matter experts</li><li>Presents findings in easy to understand terms for the business or clinical practice.</li></ul></div><p><b>
This position is a combination of remote and on-site work; individual must live within driving distance to the Rochester Mayo Clinic campus.</b></p><p><b>
**Visa sponsorship is not available for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.</b></p><b><br>
Qualifications</b><p><br>
A Bachelor&rsquo;s degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.</p><p><br>
The preferred candidate will possess a Master&rsquo;s degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.</p><b><br>
Exemption Status</b><br>
<br>
Exempt<br>
<br>
<b>Compensation Detail</b><br>
<br>
$99,070.40 - $148,616.00 / year<br>
<br>
<b>Benefits Eligible</b><br>
<br>
Yes<br>
<br>
<b>Schedule</b><br>
<br>
Full Time<br>
<br>
<b>Hours/Pay Period</b><br>
<br>
80<br>
<br>
<b>Schedule Details</b><br>
<br>
Monday &ndash; Friday, 8:00 a.m. &ndash; 5:00 p.m.<br>
<br>
<b>Weekend Schedule</b><br>
<br>
N/A<br>
<br>
<b>International Assignment</b><br>
<br>
No<br>
<br>
<b>Site Description</b><br>
<div>
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</div><div><div><b><br>
Equal Opportunity</b></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the &quot;EOE is the Law&quot;. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.<br>
</div></div><br>
<br>
<b>Recruiter</b><br>
<br>
Pam Sivly</div>

Data Science Analyst

<div>
 Aon is looking for a Data Scientist Analyst to join the Health Commercial Analytics team.
 <br/>
 <br/>
 As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions as part of the Commercial Analytics team within Aon.
 <br/>
 <br/>
 This is a hybrid role with the flexibility to work both virtually and from our Atlanta, GA or Chicago, IL offices
 <br/>
 <br/>
 <strong>
  Aon is in the business of better decisions
  <br/>
  <br/>
 </strong>
 At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
 <br/>
 <br/>
 As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
 <br/>
 <br/>
 <strong>
  What The Day Will Look Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work with large health claims and risk datasets such as eligibility data, medical claims, and prescription drug claims data.
  </li>
  <li>
   Build statistical models on large health claims and risk datasets such as eligibility data, medical claims, and prescription drug claims data.
  </li>
  <li>
   Evaluate healthcare costs, outcomes, utilization and major drivers.
  </li>
  <li>
   Collaborate with data engineering and innovation teams
  </li>
  <li>
   Translate and simplify results for presentation to clients
  </li>
  <li>
   Work in collaboration with external healthcare carriers, data vendors and startups
  </li>
  <li>
   Be up to date on upcoming vendors and startups in the healthcare space in areas such as healthcare navigation, digital health and care delivery
  </li>
  <li>
   Support client teams and actuaries with data related requests
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How This Opportunity Is Different
  <br/>
  <br/>
 </strong>
 A competitive total rewards package, continuing education &amp; training, and tremendous potential with a growing worldwide organization.
 <br/>
 <br/>
 <strong>
  Skills And Experience That Will Lead To Success
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years&rsquo; experience in health data analytics, statistics or related area
  </li>
  <li>
   Experience in data cleaning, exploratory analysis, predictive analytics
  </li>
  <li>
   Have familiarity with medical claims reporting and billing
  </li>
  <li>
   Experience working with large datasets
  </li>
  <li>
   Strong applied statistics skills such as model training and validation, statistical testing
  </li>
  <li>
   Knowledge of Python, SQL, R or other coding languages
  </li>
  <li>
   Experience with data visualisation tools: Power BI/plotly/ Rshiny
  </li>
  <li>
   Good communication skills, both oral and in writing
  </li>
  <li>
   Good organization and time management skills; ability to work independently
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in actuarial science, data science, economics, mathematics, statistics or other related fields
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Pay Transparency
  <br/>
  <br/>
 </strong>
 The salary range for this position (intended for U.S. applicants) is $90,000 - $109,000 annually. The actual salary will vary based on applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant&rsquo;s geographic location.
 <br/>
 <br/>
 This position is eligible to participate in one of Aon&rsquo;s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.
 <br/>
 <br/>
 <strong>
  How We Support Our Colleagues
  <br/>
  <br/>
 </strong>
 Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon&rsquo;s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&amp;D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.
 <br/>
 <br/>
 In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two &ldquo;Global Wellbeing Days&rdquo; each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.
 <br/>
 <br/>
 Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
 <br/>
 <br/>
 Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.
 <br/>
 <br/>
 Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.
 <br/>
 <br/>
 We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email ReasonableAccommodations@Aon.com
 <br/>
 <br/>
 For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.
 <br/>
 <br/>
 <strong>
  Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.
  <br/>
  <br/>
 </strong>
 Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
 <br/>
 <br/>
 2575501
 <br/>
 <br/>
</div>


Health Analytics - Data Science Analyst

<div><div><b>Why Mayo Clinic</b></div><div><br>
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans &ndash; to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.</div><div><br>
</div><div><b>
Benefits Highlights</b><br>
<ul><li>
Medical: Multiple plan options.</li><li>
Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>
Vision: Affordable plan with national network.</li><li>
Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>
Retirement: Competitive retirement package to secure your future.</li></ul></div><br>
<b>
Responsibilities</b><div><br>
This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.</div><div></div><div>
Other responsibilities:</div><ul><li>Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.</li><li>Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.</li><li>Executes analytical procedures in the framework of a specific project work request.</li><li>Modifies scripts or software applications to support data management, data extraction and data analysis as required.</li><li>Contributes to the interpretation of data analysis and to writing reports.</li><li>May help customers understand the data set and provide training and suggestions for improvement on the data request.</li><li>Leverages communication and interpersonal skills and works with subject matter experts</li></ul><div>
Presents findings in easy to understand terms for the business or clinical practice.</div><b><br>
Qualifications</b><div><br>
Bachelor&rsquo;s degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or other analytical/quantitative field.</div><div></div><div>
Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) is required. Incumbent must stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and a commitment to customer service.</div><b><br>
Exemption Status</b><br>
<br>
Exempt<br>
<br>
<b>Compensation Detail</b><br>
<br>
Experience and tenure may be considered along with internal equity when job offers are extended.; $78,270 -117,312 annually.<br>
<br>
<b>Benefits Eligible</b><br>
<br>
Yes<br>
<br>
<b>Schedule</b><br>
<br>
Full Time<br>
<br>
<b>Hours/Pay Period</b><br>
<br>
80<br>
<br>
<b>Schedule Details</b><br>
<br>
M- F 8:00 am &ndash; 4:30 pm This position will work remotely and on site in Rochester, MN. Business needs require employees to live a reasonable driving distance from Rochester, MN.<br>
<br>
<b>Weekend Schedule</b><br>
<br>
As needed<br>
<br>
<b>International Assignment</b><br>
<br>
No<br>
<br>
<b>Site Description</b><br>
<div>
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</div><div><div><b><br>
Equal Opportunity</b></div><div><br>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the &quot;EOE is the Law&quot;. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.<br>
</div></div><br>
<br>
<b>Recruiter</b><br>
<br>
Jill Squier</div>

Associate Data Science Analyst - Hematology Research

Roc Nation

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 Title: Data Analyst
 <br/>
 <br/>
 Reports to: Sr. Director, Data Science &amp; Analytics
 <br/>
 <br/>
 Location: New York, NY (On-Site, 5 days a week in office)
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Roc Nation is seeking a Data Analyst to join our growing Data Science &amp; Analytics team. This role sits at the intersection of data, music, marketing, and business operations &mdash; requiring technical proficiency in data modeling, querying and reporting.
 <br/>
 <br/>
 The incumbent will have experience partnering with stakeholders and bridging the gap between data, decisions, and operational processes. You will work across all business verticals including Music, Distribution, Sports, Brands and Philanthropy to deliver impactful insights.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Reporting &mdash; Deliver regular reporting to stakeholders on music streaming performance and social engagement for our roster of clients. Support the digital marketing and brand partnerships teams with ad-roc analysis and reporting
  </li>
  <li>
   Insights &mdash; Address incoming requests for analysis and reporting that supports decision making across digital marketing, brand partnerships, and distribution
  </li>
  <li>
   Data Products &mdash;Build, maintain, and improve data products and self-service analytics offering with an emphasis on decisions and operational use cases
  </li>
  <li>
   Stakeholder Partnerships &mdash; Partner with stakeholders to understand business context, decisions, and operational processes while translating stakeholder needs into analysis and data product requirements
  </li>
  <li>
   Champion a Data Centric Culture &mdash; where stakeholders are empowered by data to make the right decisions at the right time
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience as a data analyst developing data models and building data products and self-service analytics dashboards with modern business intelligence tools (Looker, Tableau, Power BI, etc.) that drive decision making and outcomes
  </li>
  <li>
   Experience working with and developing cloud data warehouses (Big Query, Snowflake, Redshift, etc.)
  </li>
  <li>
   A highly analytical and systems-level mindset focused on using data to drive decisions and business outcomes
  </li>
  <li>
   Ability to clearly articulate insights to a non-technical audience
  </li>
  <li>
   Comfortable partnering with engineering to define business requirements for dataset and metric development
  </li>
  <li>
   Proficiency with Microsoft Office products (Excel, Powerpoint, etc.)
  </li>
  <li>
   Familiarity with core music industry domains (marketing, distribution, artist and label services, brand partnerships)
   <br/>
   <br/>
  </li>
 </ul>
 Bonus Points For
 <br/>
 <br/>
 <ul>
  <li>
   Experience with python, dbt, and analytics engineering concepts
  </li>
  <li>
   Direct music industry experience
   <br/>
   <br/>
  </li>
 </ul>
 Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa.
 <br/>
 <br/>
 <strong>
  Benefits &amp; Perks
  <br/>
  <br/>
 </strong>
 <strong>
  HEALTH
 </strong>
 : Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA)
 <br/>
 <br/>
 <strong>
  YOURSELF
 </strong>
 : Free concert tickets, generous paid time off including paid holidays, sick time and floating days
 <br/>
 <br/>
 <strong>
  CAREER
 </strong>
 : Career and skill development programs with School of Live
 <br/>
 <br/>
 <strong>
  WEALTH
 </strong>
 : 401(k) program with company match
 <br/>
 <br/>
 Note &ndash; Roc Nation benefits and policies differ from Live Nation.
 <br/>
 <br/>
 <strong>
  The Expected Compensation For This Position Is
  <br/>
  <br/>
 </strong>
 $68,000.00 USD - $85,000.00 USD
 <br/>
 <br/>
 <ul>
  <li>
   Pay is based on a number of factors including market location, qualifications, skills, and experience.
   <br/>
   <br/>
  </li>
 </ul>
 Live Nation Entertainment will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official Live Nation or affiliated brand email domains.
</div>


Data Analyst

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Worldwide Grocery Stores (WWGS) is seeking an experienced analyst to join our Business and Customer Analytics team. This role will be responsible for generating business insights that lead to partner actions and strategy across the company.
<br>
<br>
In this role you will support analytics initiatives and provide comprehensive analysis for assigned and ad hoc requests. You will analyze and synthesize business and customer performance data using internal and external sources. Your insights will inform business decisions across multiple teams and contribute to goal achievement. You will partner on new analytics development and work collaboratively with other Analytics teams, Finance, Data Science, Marketing, and Business Intelligence Engineers to identify reporting needs and implement solutions for analytical process improvements.<br>
<br>
Key job responsibilities<br>
<ul><li>Provide strategic guidance by delivering data-driven, actionable insights that support leadership and key partner teams</li><li>Contribute to strategic discussions and generate business hypotheses</li></ul>
- Analyze business impact levers (promotions, -price, product, customer, etc.) using 3rd party competitive landscape tools, customer behavior metrics, and data science models.
<br>
<ul><li>Own and drive analytical projects from definition through delivery by working across stakeholder teams as a key point of contact</li><li>Collaborate with business partners to identify gaps in analytical processes and reporting</li><li>Work with cross-functional partners to address gaps and influence decision making</li><li>Synthesize and communicate complex data and analyses through effective written documents and presentations</li><li>Mentor and develop more junior analysts by sharing analytics best practices and domain knowledge</li><li>Translate complex data and analyses to various levels within the organization to generate actionable insights.</li><li>Present information effectively and respond to questions in meetings involving various levels of leadership.</li><li>Be analytically curious by investigating the &ldquo;why&rdquo; behind various results</li><li>Build and maintain dashboards using tools such as QuickSight, Tableau, or similar platforms to enable self-service access to performance metrics.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent</li><li>3+ years of business analyst, data analyst or similar role experience</li><li>3+ years of Excel or Tableau (data manipulation, macros, charts and pivot tables) experience</li><li>Experience with SQL</li><li>Experience making business recommendations and influencing stakeholders</li><li>Experience defining requirements and using data and metrics to draw business insights</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field</li><li>Experience in data science, business analytics, business intelligence, or similar experience in big data environments</li><li>Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions</li><li>Experience in financial analysis, retail buying, retail planning &amp; allocation, product/project management, marketing, business development, consulting, negotiation or supply chain</li><li>Experience with advanced analytics</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 74,300.00 - 130,100.00 USD annually<br>
USA, WA, Seattle - 82,700.00 - 130,100.00 USD annually</div><p></p>

Business Analyst, WWGS Business and Customer Analytics

Ventas, Inc.

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
 <br/>
 <br/>
 The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
 <br/>
 <br/>
 <ul>
  <li>
   Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
  </li>
  <li>
   Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
  </li>
  <li>
   Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
  </li>
  <li>
   Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
  </li>
  <li>
   Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
  </li>
  <li>
   Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
  </li>
  <li>
   Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
  </li>
  <li>
   Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
  </li>
  <li>
   Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
  </li>
  <li>
   2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
  </li>
  <li>
   Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
  </li>
  <li>
   Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
  </li>
  <li>
   Proficiency in SQL and Python required.
  </li>
  <li>
   Experience translating ambiguous business questions to analytical problems
  </li>
  <li>
   Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
  </li>
  <li>
   Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
  </li>
  <li>
   Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
  <br/>
  <br/>
 </em>
 <em>
  In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
  <br/>
  <br/>
 </em>
 Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
 <br/>
 <br/>
 Ventas, Inc. is an Equal Opportunity Employer.
 <br/>
 <br/>
 Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
 <br/>
 <br/>
</div>


Analyst, Data Science

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