associate data analyst

Workday

<div>
 <strong>
  Your work days are brighter here.
  <br/>
  <br/>
 </strong>
 We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Are you passionate about building data products that solve problems across an entire company? We are a cross‑functional team of Data Analysts who partner with product, sales, operations, and business leaders to design and deliver data products that drive better decisions at scale. As a Sr. Associate Data Analyst, you will work across domains and functions to understand business needs, shape data product requirements, and turn complex data into reliable, intuitive solutions and insights for stakeholders.
 <br/>
 <br/>
 You&rsquo;ll collaborate closely with colleagues who deeply understand Workday&rsquo;s data, systems, and business processes, giving you opportunities to develop strong foundations in analytics, data modeling, and product thinking. This role is a great fit if you enjoy learning new domains, working with diverse partners, and seeing your work embedded in reusable data products that power decisions across the company.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Workday is looking for a
 <strong>
  Associate Data Analyst
 </strong>
 with a passion for cross‑functional collaboration and building scalable data products. In this role, you will use your analytical thinking, business analysis skills, and technical toolkit (including SQL and modern analytics tools) to analyze complex business problems using data from internal and external sources, and to translate those needs into well‑designed, reusable data assets.
 <br/>
 <br/>
 You&rsquo;ll partner with stakeholders across multiple organizations to:
 <br/>
 <br/>
 <ul>
  <li>
   Understand their objectives and pain points,
  </li>
  <li>
   Define shared metrics and data requirements,
  </li>
  <li>
   Co‑design data products (datasets, models, reports, and dashboards) that can be used broadly rather than as one‑off solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with cross‑functional stakeholders (e.g., product, sales, finance, HR, operations) to identify, define, and clarify business problems and opportunities, and translate these into clear data product requirements.
  </li>
  <li>
   Analyze datasets from Workday and other systems to identify trends, patterns, and drivers that inform the design of scalable data products and shared metrics.
  </li>
  <li>
   Design and iterate on reusable data assets (e.g., curated datasets, semantic layers, standardized dashboards) that can support multiple teams and use cases, rather than one‑off analyses.
  </li>
  <li>
   Write and optimize SQL queries to extract, join, and validate data from relational sources, ensuring performance, reliability, and alignment with our data models.
  </li>
  <li>
   Use data analysis tools and visualization platforms to build intuitive, self‑service reporting and analytics experiences that empower stakeholders to answer their own questions where appropriate.
  </li>
  <li>
   Apply strong Analytical Thinking and Problem Analysis to break down complex, ambiguous questions into structured problems with clear hypotheses, methods, and success criteria.
  </li>
  <li>
   Demonstrate Business Acumen by understanding how different functions operate, how their metrics relate, and how shared data products can create leverage across organizations.
  </li>
  <li>
   Contribute to Data Governance by helping define and document metrics, data definitions, and usage guidelines for data products, and by raising and tracking data quality issues with appropriate owners.
  </li>
  <li>
   Collaborate with analytics engineers, data engineers, and other analysts to align on data models, pipelines, and technical standards that support reliable data products.
  </li>
  <li>
   Participate in and sometimes facilitate cross‑functional design reviews, stakeholder workshops, and feedback sessions to refine data products and ensure they meet real user needs.
  </li>
  <li>
   Support testing and validation of new or updated data products, including sanity checks, reconciliation with source systems, and tracking issues through to resolution.
  </li>
  <li>
   Contribute to documentation, playbooks, and knowledge‑sharing so that data products are well understood and easy to adopt across teams.
   <br/>
   <br/>
  </li>
 </ul>
 Over time, you will deepen both your product and analytics capabilities, taking on more complex cross‑functional initiatives.
 <br/>
 <br/>
 <strong>
  About You
  <br/>
  <br/>
 </strong>
 Basic Qualifications
 <br/>
 <br/>
 <ul>
  <li>
   2+ years of professional experience in a data‑focused role (e.g., Data Analyst, Product Analyst, Business Analyst, Reporting Analyst) working closely with stakeholders to solve business problems using data.
  </li>
  <li>
   Hands‑on experience writing and using SQL to query and manipulate data from relational databases or structured datasets.
  </li>
  <li>
   Experience with at least one data visualization / BI tool (e.g., Tableau, Power BI, Looker, or similar) to build reports or dashboards that are used by multiple stakeholders.
  </li>
  <li>
   Experience in Finances is a must.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Solid understanding of relational data concepts and basic data modeling, including relationships, joins, aggregations, and how to structure data for analytics and reporting.
  </li>
  <li>
   Strong Analytical Thinking and Problem Analysis skills, with the ability to decompose complex, cross‑functional questions into smaller, answerable components and choose appropriate analytical approaches.
  </li>
  <li>
   Demonstrated experience in Business Analysis: capturing requirements, mapping business processes to data, and converting stakeholder needs into clear data or reporting specifications.
  </li>
  <li>
   Strong verbal and written communication skills, with the ability to explain data concepts, trade‑offs, and findings in a way that resonates with different audiences, from technical partners to business leaders.
  </li>
  <li>
   Experience with Python or R for data analysis, automation, or experimentation is a plus.
  </li>
  <li>
   Familiarity with Workday data, Salesforce.com, reporting, analytics, or similar enterprise application data domains is a plus.
  </li>
  <li>
   Demonstrated ability to collaborate effectively across multiple teams and levels, build trust, and influence through data and clear reasoning.
  </li>
  <li>
   Comfortable working in an iterative or agile environment, incorporating feedback, and adjusting as priorities and learnings evolve.
  </li>
  <li>
   Ability to maintain high standards of data integrity and confidentiality, and to support Data Governance practices in your day‑to‑day work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Workday Pay Transparency Statement
  <br/>
  <br/>
 </strong>
 The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here.
 <br/>
 <br/>
 Primary Location: CRI.Heredia
 <br/>
 <br/>
 Primary Location Base Pay Range: ₡20,170,400 CRC - ₡30,255,600 CRC
 <br/>
 <br/>
 Additional US Location(s) Base Pay Range: $79,800 USD - $141,700 USD
 <br/>
 <br/>
 <strong>
  Our Approach to Flexible Work
  <br/>
  <br/>
 </strong>
 With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply
 <strong>
  spend at least half (50%) of our time each quarter in the office or in the field
 </strong>
 with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.
 <br/>
 <br/>
 Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
 <br/>
 <br/>
 At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com.
 <br/>
 <br/>
 <strong>
  Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
  <br/>
  <br/>
 </strong>
 At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.
 <br/>
 <br/>
 Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.
 <br/>
 <br/>
 In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.
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 ,
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</div>


Associate Data Analyst

Powers Health

<div><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<h2 class="jobSectionHeader"><b>The Associate Data Analyst provides analytical and reporting support across the Powers Health data ecosystem under the guidance of senior analysts and Data &amp; Analytics leadership. This role focuses on learning healthcare data structures, analytical tools, and reporting standards while supporting operational and strategic initiatives. The Associate Data Analyst assists with data collection, preparation, validation, and basic analysis to help transform raw data into meaningful insights. The role works closely with business stakeholders to understand data needs, contributes to dashboards and reports, and ensures data accuracy and consistency.</b></h2>
<p> <b>Required Skills &amp; Qualifications:</b><b><i>
</i></b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Economics, Health Informatics or a related field.
</li><li>0&ndash;2 years of experience in data analysis, reporting, or similar roles including internships or academic.</li>
</ul><ul><li>Proficient in Excel and other basic data analysis tools.</li>
<li>Working knowledge of SQL and relational databases.
</li><li>Exposure to data visualization tools such as Tibco Spotfire, Tableau, or Power BI.</li>
<li>Proficient in PowerPoint for summarizing analysis and supporting project updates.</li>
<li>Basic knowledge of statistical concepts and data manipulation techniques.</li>
<li>Familiarity with healthcare data (claims, patient, provider) is a plus.</li>
</ul><ul><li>Strong communication, documentation and collaboration skills.
</li></ul><ul><li>Detail-oriented with the ability to manage multiple tasks accurately and on time.</li><br>
</ul>
 <p></p><p><b>Your Extraordinary Career Starts Here</b></p>
<p> We invite you to join our team of professionals where your unique talents will be well utilized in a work environment that promotes your further growth and development. In return for your valuable service and contributions, Powers Health offers a competitive wage and benefits package along with the necessary tools, resources, and mentoring opportunities to support your career advancement goals.</p><br>
<p></p>
<p><b>Our comprehensive benefits program includes, but is not limited to:</b></p>
<ul><li>Medical, dental and vision coverage</li>
<li>Wellness program, including free screenings</li>
<li>Healthcare and Dependent Care Spending Accounts (HSA)</li>
<li>Retirement savings plan</li>
<li>Life insurance</li>
<li>Disability income protection</li>
<li>Employee Assistance Program (EAP)</li>
<li>Fitness center discount program</li>
<li>Tuition assistance and career development</li>
<li>Paid Time Off (PTO)</li>
<li>Reward and recognition programs</li></ul><br>
<p>
 </p><p>Join our team of healthcare professionals at Powers Health. <b>Apply today!</b></p></div><br>
<p></p>
Location: Powers Health &middot; Data Analytics and Informatics<br>
Schedule: Full-time, Days, M-F Days</div>

Associate Data Analyst - DAI

IEngineering

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div>04/13/2026
</div></div><div><p>Job Type</p>
<div>Full time
</div></div><div><p>Industry</p>
<div>IT Services
</div></div><div><p>Work Experience</p>
<div>1+ year
</div></div><div><p>City</p>
<div>Islamabad
</div></div><div><p>State/Province</p>
<div>Federal Capital
</div></div><div><p>Country</p>
<div>Pakistan
</div></div><div><p>Zip/Postal Code</p>
<div>44000
</div></div></ul></div><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><div><b>What we&rsquo;re looking for:</b><br>
</div><div>
iENGINEERING is currently seeking an ideal candidate who will assume the responsibility of leveraging AI pipelines to manipulate data across diverse projects. This individual will play a key role in identifying and addressing any issues within the pipeline, while also maintaining performance analytics to guarantee optimal functionality.</div><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><div></div><div><b><br>
What you&rsquo;ll be doing:</b>
<br>
</div><ul><li>Utilize AI pipelines to manipulate, process, and analyze data across multiple projects based on specific requirements.
<br>
</li><li>Leverage GIS tools such as QGIS and ArcGIS for advanced geospatial data analysis and visualization.<br>
</li><li>
Troubleshoot and resolve issues within AI pipelines, including data quality discrepancies, algorithmic errors, and performance bottlenecks.<br>
</li><li>
Track key metrics, develop Grafana dashboards, and analyze operational data to optimize the balance between automated and manual processes.<br>
</li><li>
Provide technical guidance and support to team members regarding the configuration, usage, and maintenance of AI pipelines.<br>
</li><li>
Demonstrate strong communication and collaboration skills by serving as a bridge between Service Delivery and the AI team for smooth project execution.<br>
</li><li>
Manage and oversee multiple projects simultaneously, effectively prioritizing tasks and consistently meeting deadlines.<br>
</li><li>
Continuously learn and adapt to emerging technologies and best practices in AI, GIS, and data analytics.<br>
</li><li>
Ensure compliance with data security policies and maintain high standards of data integrity across all AI pipeline operations.<br>
</li></ul><div><b>
What you&rsquo;ll bring along:</b><br>
</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
<br>
</li><li>1+ years of hands-on experience in data analytics, AI pipelines, or related technical roles.<br>
</li><li>
Proficiency in SQL and Python for exploratory data analysis (EDA) and data processing, with experience using libraries such as Pandas, NumPy, Matplotlib, GeoPandas, and Shapely.<br>
</li><li>
Experience working with geospatial data, including tools like QGIS, ArcGIS, and other ESRI products.<br>
</li><li>
Strong analytical and problem-solving abilities, with the capability to diagnose and resolve technical issues efficiently.<br>
</li><li>
Detail-oriented approach with a strong commitment to delivering high-quality outputs.<br>
</li><li>
Experience in performance analytics, dashboarding, or deriving actionable insights from data.<br>
</li><li>
Knowledge of Transportation Infrastructure or Asset Management domains is a plus.<br>
</li><li>
Certifications in AI, data analytics, or related areas are considered an advantage.<br>
</li></ul><div><b>
What we offer:</b><br>
</div><ul><li>
Integral role in our journey to make roads safer and save lives that are lost due to road accidents: Vision Zero.<br>
</li><li>
The chance to impact the success of our constantly growing project within the organization, iENGINEERING.<br>
</li><li>
Stability of an established company, iENGINEERING.<br>
</li><li>
Autonomous and empowering culture with high degree of freedom.<br>
</li><li>
Centrally located office in Blue Area, Islamabad.<br>
</li><li>
A competitive compensation package.<br>
</li><li>
20 days of annual/sick leaves plus gazette holidays.<br>
</li></ul><div><b>
A little about us:</b><br>
</div><div>
iENGINEERING, aims to revolutionize the entire road asset management chain: from collecting roadway/drone imagery to extracting features of interest to providing data maps and decision support systems. We are revamping our end-to-end product and service line to deliver up-to-date and accurate road data to our customers. This data allows road authorities in the US to develop maintenance plans and take measures to make roads safer for everyone. These authorities no longer need to rely on tedious, expensive, and unreliable processes to get their hands around this data. Countermeasures taken by road authorities based on this data not only save lives but also contribute towards our deep passion of making Vision Zero a reality.</div><div></div><div><br>
iENGINEERING is an equal employer and values diversity. We are committed to equal employment opportunity regardless of sex, race, color, religion, ancestry, age, marital status, or disability. All employment is decided on the basis of qualifications, merit, and business need.</div></div></div></div><p></p>

Rhombus Power Inc.

<div>
 Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products&mdash; Ambient AI and Guardian&mdash; are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.
 <br/>
 <br/>
 Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.
 <br/>
 <br/>
 Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:
 <br/>
 <br/>
 https://www.youtube.com/watch?v=3PxY6su1Q-Q
 <br/>
 <br/>
 https://www.youtube.com/@rhombuspower8558/videos
 <br/>
 <br/>
 https://www.youtube.com/watch?v=Iby5WVNfQiI
 <br/>
 <br/>
 See the following articles to learn more about what we do:
 <br/>
 <br/>
 https://www.rhombuspower.com/news-and-media
 <br/>
 <br/>
 <strong>
  About the Role: This is a contractor role. Candidates need to be located in the D.C. region, and have the ability to come onsite.
  <br/>
  <br/>
 </strong>
 As an Associate Data Analyst, you will play a critical role in verifying and improving the quality of event data that fuels our predictive intelligence systems. You'll review event records extracted from global news sources&mdash;checking the accuracy of event classifications, actor identification, geographic tagging, and temporal coding against original source material.
 <br/>
 <br/>
 <strong>
  This Position Is Perfect For Individuals Who Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Highly detail-oriented with strong reading comprehension
  </li>
  <li>
   Knowledgeable about and interested in global current events and geopolitics
  </li>
  <li>
   Able to navigate and interpret news articles from diverse international sources
  </li>
  <li>
   Excited to apply their analytical skills to real-world defense applications and gain experience working with machine learning and artificial intelligence.
  </li>
  <li>
   Have prior experience serving in a data labeling role maintaining high accuracy under demanding timelines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Review event records against original news sources to verify accuracy of event type, actors involved, location, and date.
  </li>
  <li>
   Identify and flag coding errors, misattributions, or inconsistencies in event data.
  </li>
  <li>
   Apply sound judgment on ambiguous cases; document reasoning to maintain validation consistency.
  </li>
  <li>
   Proactively communicate with project leadership on progress, challenges, and workflow improvements, including quality assurance.
  </li>
  <li>
   Help refine validation standards and contribute to process improvements where possible.
  </li>
  <li>
   Develop deeper expertise in event data structures and gain familiarity with how validated datasets improve machine learning model performance.
  </li>
  <li>
   Maintain and uphold data security standards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An undergraduate degree, completed or in-progress.
  </li>
  <li>
   Strong knowledge of international affairs, geopolitics, or current events&mdash;regional expertise (South Asia, East Asia, Middle East, etc.) is a plus.
  </li>
  <li>
   Excellent English reading comprehension; additional language proficiency is highly valued.
  </li>
  <li>
   Strong command of Microsoft Suite and Google tools such as Excel, Word, Sheets, etc. and well-versed in file management&mdash;we want those who are highly organized.
  </li>
  <li>
   Detail oriented with experience reviewing data for errors or inconsistencies and making corrections to maintain quality and accuracy.
  </li>
  <li>
   Proven analytical and logical reasoning skills&mdash;able to manage multiple datasets and tasks with precision and consistency.
  </li>
  <li>
   Self-starter with a bias for action, strong attention to detail, and ability to maintain accuracy and productivity under tight deadlines.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Rhombus
  <br/>
  <br/>
 </strong>
 Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner.
 <br/>
 <br/>
 Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations &ndash; and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.
 <br/>
 <br/>
 Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.
</div>


Associate Data Analyst, Washington D.C.

Tamara

<div>
 <strong>
  Why Tamara?
  <br/>
  <br/>
 </strong>
 We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.
 <br/>
 <br/>
 Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. &amp; There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
 <br/>
 <br/>
 If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 <br/>
 <br/>
 Apply now and join the next generation of Builders!
 <br/>
 <br/>
 <strong>
  About The Program
  <br/>
  <br/>
 </strong>
 At Tamara, we believe exceptional talent deserves an exceptional launchpad.
 <br/>
 <br/>
 Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;s a career accelerator built for those who want to build, own, and raise the bar early.
 <br/>
 <br/>
 Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You&rsquo;ll contribute immediately and grow at an accelerated pace.
 <br/>
 <br/>
 From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
 <br/>
 <br/>
 Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 This role blends the best of data analysis and data engineering. You will help turn raw data into
 <strong>
  trustworthy, well-modeled datasets
 </strong>
 that:
 <br/>
 <br/>
 <ul>
  <li>
   make definitions consistent (so "the number" means the same thing everywhere)
  </li>
  <li>
   improve data quality and reliability
  </li>
  <li>
   enable self-serve analytics and AI-assisted insights across teams (not just dashboards)
   <br/>
   <br/>
  </li>
 </ul>
 You will also help make Tamara&rsquo;s data
 <strong>
  AI-ready
 </strong>
 by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.
 <br/>
 <br/>
 With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data structures, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, data quality, and interpretation.
 <br/>
 <br/>
 You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   Model and transform data for analysis
  </li>
  <ul>
   <li>
    Build and maintain clean, reusable datasets (fact and dimension tables) that power reporting and self-serve analytics.
   </li>
   <li>
    Contribute to a scalable metrics layer: define, document, and align business definitions (for example, "active user", "approval rate", "default rate").
   </li>
  </ul>
  <li>
   Support analytics and decision making
  </li>
  <ul>
   <li>
    Answer ad-hoc questions with clear analysis and explainable methodology.
   </li>
   <li>
    Turn common questions into reusable, self-serve assets: dashboards and AI-enabled workflows (a curated dataset + definitions that an AI assistant can query correctly, plus validated example analyses).
   </li>
   <li>
    Create AI-friendly data products (well-defined datasets, metrics, and documentation) that teams can query through AI tools.
   </li>
  </ul>
  <li>
   Enable AI-ready analytics
  </li>
  <ul>
   <li>
    Package datasets and metrics so they can be reliably used by AI tools (clear grain, business definitions, data contracts, examples).
   </li>
   <li>
    Write AI-friendly documentation: glossary, metric definitions, common queries, and pitfalls.
   </li>
   <li>
    Partner with AI and platform teams to ensure critical tables are discoverable, permissioned correctly, and safe to use.
   </li>
  </ul>
  <li>
   Ensure data quality and reliability
  </li>
  <ul>
   <li>
    Write basic tests, checks, and monitoring for key datasets and critical metrics.
   </li>
   <li>
    Troubleshoot data issues and improve reliability from source to reporting.
   </li>
  </ul>
  <li>
   Work effectively with engineering and product
  </li>
  <ul>
   <li>
    Collaborate with data engineers on schema changes, event tracking, and pipeline improvements.
   </li>
   <li>
    Translate ambiguous business questions into measurable analyses, and communicate findings clearly.
   </li>
  </ul>
  <li>
   Use AI tools thoughtfully
  </li>
  <ul>
   <li>
    Use AI to accelerate SQL drafting, code scaffolding, and documentation.
   </li>
   <li>
    Validate AI outputs, document assumptions, and protect sensitive data.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Your expertise (must have)
 </strong>
 <br/>
 <br/>
 Fresh graduate or &lt; 1 year of relevant experience (internships, projects, or part-time roles count).
 <li>
  Solid SQL fundamentals (joins, aggregations, basic window functions).
 </li>
 <li>
  One programming language for analysis (preferably Python) with basic skills in:
 </li>
 <ul>
  <li>
   Data manipulation (tables/dataframes)
  </li>
  <li>
   Basic statistics (distributions, sampling intuition, confidence basics)
  </li>
 </ul>
 <li>
  Strong analytical thinking:
 </li>
 <ul>
  <li>
   Ability to define a problem, form hypotheses, validate data, and explain results.
  </li>
 </ul>
 <li>
  Strong attention to detail and commitment to accurate, reliable outputs.
 </li>
 <li>
  Ability to work effectively in a team-oriented environment.
  <br/>
 </li>
 <strong>
  Nice to have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to data modeling concepts (star schema, slowly changing dimensions, metrics definition).
  </li>
  <li>
   Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.
  </li>
  <li>
   Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and evaluation or sanity-check checklists) is a plus.
  </li>
  <li>
   Experience using AI assistants responsibly to accelerate analysis or analytics engineering work (for example, SQL drafting, code scaffolding, documentation).
  </li>
  <li>
   Experience with version control (Git) or basic software engineering practices.
  </li>
  <li>
   Understanding of event tracking and product analytics (funnels, cohorts, retention).
  </li>
  <li>
   Knowledge of responsible data handling (PII basics, access controls, safe sharing).
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You can independently produce a well-structured analysis with clear assumptions and validation steps.
  </li>
  <li>
   You contribute at least one reliable dataset or transformation that becomes a shared building block for analytics.
  </li>
  <li>
   Stakeholders can answer more questions with self-serve and AI-assisted exploration, with less back-and-forth.
  </li>
  <li>
   A key dataset or metric you built becomes usable through AI tools with consistent answers (validated against a source-of-truth definition).
  </li>
  <li>
   You can spot when results look off, debug quickly, and explain the root cause.
  </li>
 </ul>
</div>


Associate Data Analyst - Builders Program

<div><p><b>Why Tamara?</b></p>
<p>
We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.<br>
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. &amp; There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.<br>
If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
<br>
Apply now and join the next generation of Builders!</p>
<p><b>
About the Program:</b></p>
<p>
At Tamara, we believe exceptional talent deserves an exceptional launchpad.<br>
<br>
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;s a career accelerator built for those who want to build, own, and raise the bar early.<br>
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You&rsquo;ll contribute immediately and grow at an accelerated pace.<br>
From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
<br>
<br>
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.</p>
<p><b>
About the role:</b></p>
<p>
We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.</p>
<p>
This role blends the best of data analysis and data engineering. You will help turn raw data into <b>trustworthy, well-modeled datasets</b> that:</p>
<ul>
<li>make definitions consistent (so &quot;the number&quot; means the same thing everywhere)</li>
<li>improve data quality and reliability</li>
<li><i>enable self-serve analytics and AI-assisted insights across teams</i> (not just dashboards)</li>
</ul>
<p>You will also help make Tamara&rsquo;s data <b>AI-ready</b> by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.</p>
<p>
With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data structures, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, data quality, and interpretation.</p>
<p>
You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.</p>
<p><b>
Your responsibilities</b></p>
<ul>
<li><b>Model and transform data for analysis</b>
<ul><li>Build and maintain clean, reusable datasets (fact and dimension tables) that power reporting and self-serve analytics.</li>
<li>Contribute to a scalable metrics layer: define, document, and align business definitions (for example, &quot;active user&quot;, &quot;approval rate&quot;, &quot;default rate&quot;).</li>
</ul></li><li><b>Support analytics and decision making</b>
<ul><li>Answer ad-hoc questions with clear analysis and explainable methodology.</li>
<li>Turn common questions into reusable, self-serve assets: dashboards <i>and</i> AI-enabled workflows (a curated dataset + definitions that an AI assistant can query correctly, plus validated example analyses).</li>
<li>Create AI-friendly data products (well-defined datasets, metrics, and documentation) that teams can query through AI tools.</li>
</ul></li><li><b>Enable AI-ready analytics</b>
<ul><li>Package datasets and metrics so they can be reliably used by AI tools (clear grain, business definitions, data contracts, examples).</li>
<li>Write AI-friendly documentation: glossary, metric definitions, common queries, and pitfalls.</li>
<li>Partner with AI and platform teams to ensure critical tables are discoverable, permissioned correctly, and safe to use.</li>
</ul></li><li><b>Ensure data quality and reliability</b>
<ul><li>Write basic tests, checks, and monitoring for key datasets and critical metrics.</li>
<li>Troubleshoot data issues and improve reliability from source to reporting.</li>
</ul></li><li><b>Work effectively with engineering and product</b>
<ul><li>Collaborate with data engineers on schema changes, event tracking, and pipeline improvements.</li>
<li>Translate ambiguous business questions into measurable analyses, and communicate findings clearly.</li>
</ul></li><li><b>Use AI tools thoughtfully</b>
<ul><li>Use AI to accelerate SQL drafting, code scaffolding, and documentation.</li>
<li>Validate AI outputs, document assumptions, and protect sensitive data.</li>
</ul>
</li></ul><p><b>Your expertise (must have)</b></p>
<ul>
<li>Fresh graduate or <b>&lt; 1 year</b> of relevant experience (internships, projects, or part-time roles count).</li>
<li>Solid <b>SQL fundamentals</b> (joins, aggregations, basic window functions).</li>
<li>One programming language for analysis (preferably <b>Python</b>) with basic skills in:
<ul><li>Data manipulation (tables/dataframes)</li>
<li>Basic statistics (distributions, sampling intuition, confidence basics)</li>
</ul></li><li>Strong analytical thinking:
<ul><li>Ability to define a problem, form hypotheses, validate data, and explain results.</li>
</ul></li><li>Strong attention to detail and commitment to accurate, reliable outputs.</li>
<li>Ability to work effectively in a team-oriented environment.</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>Exposure to data modeling concepts (star schema, slowly changing dimensions, metrics definition).</li>
<li>Familiarity with modern analytics stacks (dbt, BigQuery, Snowflake, Looker, PowerBI, Tableau) through coursework or projects.</li>
<li>Experience creating AI-ready data assets (clean semantic layers, metric definitions, data contracts, documentation, and evaluation or sanity-check checklists) is a plus.</li>
<li>Experience using AI assistants responsibly to accelerate analysis or analytics engineering work (for example, SQL drafting, code scaffolding, documentation).</li>
<li>Experience with version control (Git) or basic software engineering practices.</li>
<li>Understanding of event tracking and product analytics (funnels, cohorts, retention).</li>
<li>Knowledge of responsible data handling (PII basics, access controls, safe sharing).</li>
</ul>
<p><b>What success looks like</b></p>
<ul>
<li>You can independently produce a well-structured analysis with clear assumptions and validation steps.</li>
<li>You contribute at least one reliable dataset or transformation that becomes a shared building block for analytics.</li>
<li>Stakeholders can answer more questions with self-serve and AI-assisted exploration, with less back-and-forth.</li>
<li>A key dataset or metric you built becomes usable through AI tools with consistent answers (validated against a source-of-truth definition).</li>
<li>You can spot when results look off, debug quickly, and explain the root cause.</li></ul></div><p></p>

Mayo Clinic

<div><div><p>CityRochester</p>
<p>StateMN</p>
<p>RemoteNO</p>
<p>DepartmentInformation Technology</p>
</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.<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 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>
Presents findings in easy to understand terms for the business or clinical practice.</div><b><br>
Qualifications</b><p><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.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.</p><b><br>
Exemption Status</b><br>
<br>
Exempt<br>
<br>
<b>Compensation Detail</b><br>
<br>
$80,184.00 - $112,257.60 / 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 - Friday, 8am - 5pm<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>
Ted Keefe</div>

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