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Salehiya Healthcare

<div>
 
 
 About Us:
 
 
 
 Salehiya started commercial activities in 1964 as a specialized healthcare company. It is one of the leading Saudi Arabian companies in distributing pharmaceuticals, medical and laboratory equipment, diagnostics, medical disposables, and hospital and consumer supplies. The company kept pace with the rapid development of the health sector in Saudi Arabia and gradually evolved to meet the needs and demands of a constantly growing market.
 
 
 
 
 
 Salehiya is based in three major cities: Riyadh, Jeddah, and Dammam. It also has branches around the kingdom to cover the whole market and provide prompt and efficient client services, with over 1000 workforce.
 
 
 
 
 
 For more information, you can visit our website: www.salehiya.com
 
 
 
 
 
 
 Why Work with Us:
 
 
 
 Salehiya Healthcare is committed to creating a diverse and inclusive workplace where all employees are valued and respected. We believe in fostering a culture that encourages creativity and innovation, particularly in technology. We utilize the latest tools in our field and stay ahead of industry trends. Our comprehensive training programs and mentorship opportunities are designed to support professional growth and development. We prioritize maintaining a welcoming atmosphere for everyone.
 
 
 
 
 
 The core values that guide our people derive from our purpose to elevate the healthcare experience in the kingdom.
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a detail-oriented and curious
 
 Data Analyst
 
 to support our team by turning data into meaningful insights. This role involves collecting, analyzing, and reporting data to help guide better business decisions.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and organize data from multiple sources
 </li>
 <li>
 Analyze data to identify trends, patterns, and key insights
 </li>
 <li>
 Build and maintain reports and dashboards using Excel
 </li>
 <li>
 Prepare clear, impactful presentations using PowerPoint to communicate findings
 </li>
 <li>
 Collaborate with team members to support ongoing data needs
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data used in reporting
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 Minimum Qualifications:
 
 
 
 Bachelor&rsquo;s degree in any field.
 
 
 
 Minimum Experience:
 
 
 
 2-5 years' experience in people data analysis.
 
 
 
 Skills:
 
 
 <ul>
 <li>
 English fluency
 </li>
 <li>
 Advanced knowledge of Microsoft Excel
 </li>
 <li>
 Strong skills in Microsoft PowerPoint for data storytelling and presentation design
 </li>
 <li>
 High attention to detail and a methodical approach to analysis
 </li>
 <li>
 Good written and verbal communication skills
 </li>
 <li>
 Ability to work collaboratively and manage time effectively
 </li>
 </ul>
</div>

People Data Analyst

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 <ul>
 <li>
 Fair and courageous Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 </li>
 <li>
 Ambition and results Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 </li>
 <li>
 Learning and innovating Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 </li>
 <li>
 Caring and sharing A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 </li>
 </ul>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.
 
 
 
 Technical and Analytical Capabilities:
 
 
 
 <ul>
 <li>
 Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling.
 </li>
 <li>
 Proficiency with Data Querying: SQL for data retrieval and manipulation.
 </li>
 <li>
 Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards.
 </li>
 <li>
 Analytical Programming: Familiarity with Python or R for exploratory analysis.
 </li>
 <li>
 Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation.
 </li>
 <li>
 Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance.
 
 
 
 </li>
 </ul>
 
 Business-Oriented Capabilities:
 
 
 
 <ul>
 <li>
 Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts.
 </li>
 <li>
 Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks.
 </li>
 <li>
 Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements.
 
 
 
 </li>
 </ul>
 
 Communication and Soft Skills:
 
 
 
 <ul>
 <li>
 Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives).
 </li>
 <li>
 Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights.
 </li>
 <li>
 Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives.
 
 
 
 </li>
 </ul>
 Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.
 
 
 
 Project and Task Management:
 
 
 
 <ul>
 <li>
 Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights.
 </li>
 <li>
 Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations.
 </li>
 <li>
 Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 One core certification (CCBA, CAP, or PMI-PBA)
 </li>
 <li>
 One data visualization certification (Tableau or Power BI)
 </li>
 <li>
 One complementary certification (optional but preferred)
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Level: Mid-senior Level
 
 
 Business Unit: Data Intelegince
</div>

Business Data Analyst

PulseMediaNL (SWANA REGION)

<div>
 Position Summary
 
 
 We are seeking a detail-oriented and analytical Entry Level Data Analyst to support data-driven decision-making across the organization. This role is ideal for individuals who are passionate about working with data, identifying trends, and translating numbers into meaningful insights.
 
 
 As a Data Analyst, you will collect, clean, and interpret datasets to help teams optimize performance, improve processes, and guide strategic initiatives. This position offers an excellent opportunity for early-career professionals looking to build hands-on experience in analytics within a remote environment.
 
 
 Key Responsibilities
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Collect and organize data from multiple internal and external sources
 </li>
 <li>
 Clean and validate datasets to ensure accuracy and consistency
 </li>
 <li>
 Analyze trends and patterns to generate actionable insights
 </li>
 <li>
 Create reports, dashboards, and visualizations to communicate findings
 </li>
 <li>
 Support business teams with ad-hoc data requests
 </li>
 <li>
 Assist in identifying process improvements through data analysis
 </li>
 <li>
 Maintain documentation of data processes and reporting standards
 </li>
 <li>
 Collaborate with cross-functional teams to understand reporting needs
 
 
 </li>
 </ul>
 Your work will directly contribute to improving operational efficiency and strategic planning.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Statistics, Mathematics, Economics, Computer Science, or a related field (or equivalent experience)
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Basic proficiency in Excel or Google Sheets
 </li>
 <li>
 Familiarity with SQL or willingness to learn
 </li>
 <li>
 Understanding of data visualization tools such as Power BI, Tableau, or similar platforms is a plus
 </li>
 <li>
 Strong attention to detail and organizational skills
 </li>
 <li>
 Ability to communicate findings clearly to non-technical stakeholders
 </li>
 <li>
 Self-motivated and comfortable working independently in a remote setting
 
 
 </li>
 </ul>
 Work Structure
 
 
 <ul>
 <li>
 Fully remote work environment
 </li>
 <li>
 Flexible scheduling based on project needs
 </li>
 <li>
 Structured onboarding and training support
 </li>
 <li>
 Opportunities for skill development and growth
 
 
 </li>
 </ul>
 Engagement Terms
 
 
 <ul>
 <li>
 Independent contractor or employee classification depending on placement
 </li>
 <li>
 Weekly payments through supported platforms
 </li>
 <li>
 Performance-based incentives may be available
 </li>
 <li>
 Role scope and duration may evolve based on business needs
 
 
 </li>
 </ul>
 Key Skills
 
 
 Data Analysis, Data Analytics, SQL, Microsoft Excel, Google Sheets, Data Cleaning, Data Visualization, Tableau, Power BI, Python for Data Analysis, R Programming, Statistical Analysis, Business Intelligence, Reporting, Dashboard Development, Data Interpretation, Trend Analysis, KPI Tracking, Predictive Analytics, ETL, Database Management, Problem Solving, Critical Thinking, Attention to Detail, Remote Work, Cross-Functional Collaboration
 
 
 Application Process
 
 
 <ul>
 <li>
 Submit your updated resume highlighting relevant coursework, internships, or project experience
 </li>
 <li>
 Qualified candidates can expect follow-up communication within a few business days
 
 
 </li>
 </ul>
 We are looking for motivated early-career professionals who are eager to develop their analytical skills and contribute to data-driven decision-making.
 
 
 If you&rsquo;d like, I can also create a version tailored specifically for recent graduates with no prior work experience.
</div>

Entry Level Data Analyst (Remote)

Tap Payments

<div>About Tap
Tap Payments is revolutionizing online payments across the MENA region by connecting businesses with simple, unified payment experiences. We need exceptional talent to help us on this journey. 
The Operations Team 
Great ideas aren't enough. To build a truly global business, we need great experiences. Join our operations team and help build, operate, and scale our customer, financial and administrative operations across the Middle East and beyond. Yalla! let's do this 
As a Tapster you will:<ul><li>
Define the criteria and formulas for all key Ops metrics &mdash; acceptance rates, chargeback ratios, onboarding TTL, KYC queue age, SLA breach rates, dispute resolution times, and more</li><li>
Work with the Ops leadership team to design new KPIs when new domains or functions are added</li><li>
Review existing dashboards and reports to identify measurement inconsistencies, formula errors, or misleading representations</li><li>
Guide the React Native Engineers and product teams on how to build data pipelines and dashboard visualisations that correctly reflect defined formulas</li><li>
Produce cohort analyses &mdash; comparing merchant segments, market performance, BIN group behaviour, or time-period comparisons</li><li>
Define segmentation logic &mdash; which merchants go into which cohort, what counts as an 'active' merchant, what defines a 'failed' transaction</li><li>
Develop and maintain a Metrics Dictionary: a living document that defines every metric Ops reports, including formula, data source, refresh frequency, and known limitations</li><li>
Validate data quality &mdash; working with Engineering to identify data gaps, duplicate entries, or incorrect event tracking that affects report accuracy</li><li>
Support leadership sessions with ad-hoc analysis &mdash; pulling specific data cuts to answer leadership questions that go beyond standard dashboards</li><li>
Work with GRC and Finance to ensure Ops metrics align with regulatory reporting requirements and financial reconciliation standards</li></ul> 
What you will bring to the party:<ul><li>
 2&ndash;4 years in a data analyst role &mdash; fintech, payments, or e-commerce strongly preferred</li><li>
Strong SQL &mdash; comfortable writing complex queries across multiple tables without assistance</li><li>
Experience defining KPIs and metrics frameworks &mdash; not just pulling numbers but designing what gets measured</li><li>
Experience working with BI tools (Metabase, Looker, Tableau, Power BI, or similar)</li><li>
Does not need to build dashboards alone but must understand how they work</li><li>
Comfortable with averages, percentiles, rates, cohort analysis, and basic statistical concepts</li><li>
Able to spot misleading aggregations</li><li>
Understanding of payment processing metrics (authorization rates, chargeback ratios, settlement cycles) is a strong advantage</li><li>
Able to explain metric definitions and methodology clearly to non-technical stakeholders, including leadership and merchant teams</li><li>
Meticulous &mdash; every formula, data source, and assumption must be documented</li><li>
Degree in Mathematics, Statistics, Economics, Computer Science, or equivalent</li><li>
2&ndash;4 years &mdash; mid-level role; depth of analytical thinking matters more than seniority</li></ul> 
 
Key Deliverables:<ul><li>
Metrics Dictionary: Complete documentation of every Ops KPI &mdash; formula, source, owner, refresh rate</li><li>
Dashboard Review: Monthly review of all active Ops dashboards for accuracy and consistency</li><li>
Cohort Analysis: Quarterly cohort performance reports across merchant segments and markets</li><li>
Ad-hoc Analysis: Turnaround within 48 hours for leadership-requested data cuts</li><li>
Data Quality Report: Quarterly report on data quality issues affecting Ops reporting</li></ul> 
Are you ready to shape the future of payments in MENA?</div>

Data Analyst (Operations Intelligence & Strategy)

Master Works

<div>
 
 Role Purpose
 
 
 
 The Linguistic Data Analyst is responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models.
 
 
 This role is critical to ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly in government, diplomatic, and formal communication domains.
 
 
 
 Key Responsibilities
 
 
 
 Linguistic Data Collection:
 
 
 <ul>
 <li>
 Collect and curate conversational audio and text data (meetings, interviews, speeches)
 </li>
 <li>
 Work with multilingual datasets, primarily Arabic and English
 </li>
 <li>
 Ensure compliance with privacy and data governance standards
 
 
 </li>
 </ul>
 Data Cleaning &amp; Structuring:
 
 
 <ul>
 <li>
 Clean datasets by removing noise, duplication, and inconsistencies
 </li>
 <li>
 Normalize formal and semi-formal language usage
 </li>
 <li>
 Organize data by speaker, context, and formality
 
 
 </li>
 </ul>
 Linguistic &amp; Terminology Analysis:
 
 
 <ul>
 <li>
 Extract and standardize diplomatic and official terminology
 </li>
 <li>
 Build and maintain a diplomatic glossary
 
 
 </li>
 </ul>
 AI Training Data Preparation:
 
 
 <ul>
 <li>
 Prepare AI-ready datasets with timestamps and metadata
 </li>
 <li>
 Support annotation teams with linguistic guidelines
 
 
 </li>
 </ul>
 Collaboration &amp; Documentation:
 
 
 <ul>
 <li>
 Work with AI Engineers, Data Scientists and PMs
 </li>
 <li>
 Document standards and methodologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Qualifications
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor's degree in Linguistics, Translation, Arabic/English Studies, or related field
 
 
 </li>
 </ul>
 Core Skills:
 
 
 <ul>
 <li>
 Strong linguistic analysis skills
 </li>
 <li>
 Experience with conversational or textual datasets
 </li>
 <li>
 High attention to detail
 
 
 </li>
 </ul>
 Technical Skills (Preferred):
 
 
 <ul>
 <li>
 Familiarity with STT and NLP concepts
 </li>
 <li>
 Experience with data annotation workflows
 
 
 </li>
 </ul>
 Languages:
 
 
 <ul>
 <li>
 Arabic: Fluent (mandatory)
 </li>
 <li>
 English: Fluent (mandatory)
 </li>
 <li>
 Additional languages are a plus
 </li>
 </ul>
</div>

Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

MASTER-WORKS

<div>Role Purpose
The Linguistic Data Analyst is responsible for collecting, analyzing, organizing, and cleaning multilingual conversational data, with a strong focus on diplomatic and formal terminology, to prepare high-quality datasets for training Speech-to-Text (STT) AI models. 
 
This role is critical to ensuring linguistic accuracy, terminology consistency, and data readiness for AI model development, particularly in government, diplomatic, and formal communication domains.
Key Responsibilities<div>
Linguistic Data Collection: 
<ul><li>Collect and curate conversational audio and text data (meetings, interviews, speeches).</li><li>Work with multilingual datasets, primarily Arabic and English.</li><li>Ensure compliance with privacy and data governance standards.</li></ul>
 
Data Cleaning &amp; Structuring: 
<ul><li>Clean datasets by removing noise, duplication, and inconsistencies.</li><li>Normalize formal and semi-formal language usage.</li><li>Organize data by speaker, context, and formality.</li></ul>
 
Linguistic &amp; Terminology Analysis: 
<ul><li>Extract and standardize diplomatic and official terminology.</li><li>Build and maintain a diplomatic glossary.</li></ul>
 
AI Training Data Preparation: 
<ul><li>Prepare AI-ready datasets with timestamps and metadata.</li><li>Support annotation teams with linguistic guidelines.</li></ul>
 
Collaboration &amp; Documentation: 
<ul><li>Work with AI Engineers, Data Scientists and PMs.</li><li>Document standards and methodologies.</li></ul></div> 
Requirements 
 
Required Qualifications<div>
Education: 
<ul><li>Bachelor&rsquo;s degree in Linguistics, Translation, Arabic/English Studies, or related field.</li></ul>
 
Core Skills: 
<ul><li>Strong linguistic analysis skills.</li><li>Experience with conversational or textual datasets.</li><li>High attention to detail.</li></ul>
 
Technical Skills (Preferred): 
<ul><li>Familiarity with STT and NLP concepts.</li><li>Experience with data annotation workflows.</li></ul>
 
Languages: 
<ul><li>Arabic: Fluent (mandatory)</li><li>English: Fluent (mandatory)</li><li>Additional languages are a plus.</li></ul></div></div>

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Healthcare Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data-driven solutions and innovative approaches.
 
 
 You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low-code/no-code tools and Python and visualization tools.
 
 
 In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm&rsquo;s proprietary innovation portfolio.
 
 
 We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
 </li>
 <li>
 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
 </li>
 <li>
 Solid understanding and application of Programming in Python and/or R
 </li>
 <li>
 Experience with machine learning frameworks (TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
 </li>
 <li>
 Familiarity with SQL and data querying from relational databases or cloud-based environments
 </li>
 <li>
 Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication in Arabic and English
 </li>
 </ul>
</div>

Senior Analyst - Healthcare Analytics

Explore 613+ Data analyst in Riyadh this March. Find roles across top companies and apply now to boost your career.

613 data analyst jobs In Riyadh

People Data Analyst

Business Data Analyst

Entry Level Data Analyst (Remote)

Data Analyst (Operations Intelligence & Strategy)

Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

Linguistic Data Analyst / AI Linguistic Specialist- Diplomatic Domain (STT AI)

Senior Analyst - Healthcare Analytics