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associate data analyst builders program

Tamara

<div>
 
 Why Tamara?
 
 
 
 We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.
 
 
 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.
 
 
 If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 
 
 Apply now and join the next generation of Builders!
 
 
 
 About The Program
 
 
 
 At Tamara, we believe exceptional talent deserves an exceptional launchpad.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.
 
 
 
 About The Role
 
 
 
 We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.
 
 
 
 Role
 
 
 
 This role blends the best of data analysis and data engineering. You will help turn raw data into
 
 trustworthy, well-modeled datasets
 
 that:
 
 
 <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)
 
 
 </li>
 </ul>
 You will also help make Tamara&rsquo;s data
 
 AI-ready
 
 by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.
 
 
 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.
 
 
 You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.
 
 
 
 Your Responsibilities
 
 
 
 <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.
 
 </li>
 </ul>
 </ul>
 
 Your expertise (must have)
 
 
 
 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.
 
 </li>
 
 Nice to have
 
 
 
 <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>
 
 What Success Looks Like
 
 
 
 <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>Why Tamara?

We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn. 
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. 
If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 
Apply now and join the next generation of Builders!

About the Program:

At Tamara, we believe exceptional talent deserves an exceptional launchpad. 
 
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. 
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. 
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.
 
 
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now.

About the role:

We're looking for a fresh graduate or early-career Data Analyst on an analytical engineering path.

This role blends the best of data analysis and data engineering. You will help turn raw data into trustworthy, well-modeled datasets that:
<ul>
<li>make definitions consistent (so &quot;the number&quot; 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)</li>
</ul>
You will also help make Tamara&rsquo;s data AI-ready by building well-defined datasets, metrics, and documentation that can be safely used by AI tools (and people) across the company.

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.

You will collaborate with a diverse ecosystem of engineers, product experts, and business to solve real problems that impact our customers and business outcomes.

Your responsibilities
<ul>
<li>Model and transform data for analysis
<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>Support analytics and decision making
<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><li>Enable AI-ready analytics
<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>Ensure data quality and reliability
<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>Work effectively with engineering and product
<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>Use AI tools thoughtfully
<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>Your expertise (must have)
<ul>
<li>Fresh graduate or &lt; 1 year of relevant experience (internships, projects, or part-time roles count).</li>
<li>Solid SQL fundamentals (joins, aggregations, basic window functions).</li>
<li>One programming language for analysis (preferably Python) 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>
Nice to have
<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>
What success looks like
<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>

<div>Why Tamara?

We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.

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. If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you 
 
Apply now and join the next generation of Builders! 
 
About Tamara's Builders Program 
 
At Tamara, we believe exceptional talent deserves an exceptional launchpad. 
 
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. 
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. 
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.
 
 
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now. 

About the role

We&rsquo;re looking for a fresh graduate or early-career AI Engineer on a builder track.

This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.

You&rsquo;ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.

Your responsibilities
<ul>
<li>Build AI products that ship
<ul><li>Design and implement AI-powered features and internal tools.</li>
<li>Integrate models into real systems (APIs, workflows, dashboards, and operational processes).</li>
</ul></li><li>Work with LLMs in a production-ready way
<ul><li>Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.</li>
<li>Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).</li>
</ul></li><li>Own evaluation and quality
<ul><li>Define what &ldquo;good&rdquo; means: success metrics, offline tests, and human-in-the-loop review.</li>
<li>Set up evaluations for quality, safety, latency, and cost.</li>
</ul></li><li>Make AI reliable and safe
<ul><li>Add observability: logging, tracing, and monitoring for quality regressions.</li>
<li>Implement privacy and security controls (PII handling, access control, redaction where needed).</li>
<li>Participate in incident response and postmortems when AI systems misbehave.</li>
</ul></li><li>Partner across teams
<ul><li>Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.</li>
<li>Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.</li>
</ul></li><li>Use AI tools thoughtfully
<ul><li>Use AI assistants for prototyping, debugging, and documentation.</li>
<li>Validate outputs, document assumptions, and protect sensitive data.</li>
</ul>
</li></ul>Your expertise (must have)
<ul>
<li>Fresh graduate or &lt; 1 year of relevant experience (internships and projects count).</li>
<li>Solid programming fundamentals in Python (preferred) or another language used for backend services.</li>
<li>Strong foundations in:
<ul><li>Software engineering basics (APIs, testing, reliability)</li>
<li>Data handling (SQL and/or dataframes)</li>
<li>ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)</li>
</ul></li><li>Clear communication and a collaborative approach.</li>
</ul>
Nice to have
<ul>
<li>Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).</li>
<li>Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).</li>
<li>Exposure to MLOps concepts (experiment tracking, model registry, monitoring).</li>
<li>Familiarity with vector databases, search, or information retrieval.</li>
<li>Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).</li>
<li>Experience using AI assistants responsibly for coding and analysis.</li>
</ul>
What success looks like
<ul>
<li>You ship at least one AI feature or internal tool that is used by real users.</li>
<li>You set up a simple evaluation and monitoring loop so the system improves over time.</li>
<li>Your solutions balance quality, latency, and cost, with clear tradeoffs.</li>
<li>When the AI output is wrong or risky, you can debug, mitigate, and explain why.</li>
</ul>
All qualified individuals are encouraged to apply.</div>

Associate AI Engineer - Builders Program

<div>
 
 Why Tamara?
 
 
 
 We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn.
 
 
 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.
 
 
 If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 
 
 Apply now and join the next generation of Builders!
 
 
 
 About The Program
 
 
 
 At Tamara, we believe potential should be stretched early.
 
 
 Our Flagship Builders Internship &amp; Co-Op track is crafted for students who don&rsquo;t want a passive internship but a real seat at the table. If you&rsquo;re hungry to apply what you&rsquo;ve learned, in a fast-moving, high-performance environment, this is where you begin.
 
 
 Built for current students seeking internship or co-op opportunities, this track immerses you in meaningful, hands-on work across Product, Engineering, Design, and beyond giving you real ownership, not just exposure.
 
 
 You&rsquo;ll contribute to real projects and solve real problems, gaining the kind of exposure that most early-career experiences simply don&rsquo;t offer. We treat interns and co-op students as future builders, because in many ways, they already are.
 
 
 With our January and June cohorts, you&rsquo;ll gain more than experience. You&rsquo;ll gain momentum.
 
 
 
 Your role
 
 
 
 We're seeking a Regulatory Reporting Intern for our Finance team. You will support regulatory and tax compliance activities by assisting with the preparation of accurate reports and ensuring timely submissions to regulatory authorities.
 
 
 Drawing on your attention to detail and understanding of financial reporting, you will contribute to preparing regulatory and prudential reports in line with IFRS, support collaboration with Compliance and Finance teams, and help validate financial data to ensure accuracy and completeness.
 
 
 You will also assist with tax compliance activities including VAT, corporate income tax, and withholding tax calculations and documentation, while supporting reconciliations and tax working papers to ensure compliance with regulatory requirements.
 
 
 With a proactive mindset, you will support initiatives to improve reporting processes, strengthen internal controls, and document workflows to help enhance operational efficiency.
 
 
 
 Your Responsibilities
 
 
 
 <ul>
 <li>
 Assist in preparing regulatory and prudential reports in line with IFRS.
 </li>
 <li>
 Support timely submissions to regulatory authorities in collaboration with Compliance and Finance teams.
 </li>
 <li>
 Help validate financial data to ensure accuracy and completeness.
 </li>
 <li>
 Assist with VAT, corporate income tax, and withholding tax calculations and documentation.
 </li>
 <li>
 Support monthly reconciliations and tax provision working papers.
 </li>
 <li>
 Help ensure compliance with other regulatory tax requirements.
 </li>
 <li>
 Support initiatives to enhance reporting processes and strengthen internal controls.
 </li>
 <li>
 Assist in documenting workflows and identifying opportunities for efficiency improvements.
 
 
 </li>
 </ul>
 
 Your expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Accounting, Finance, or a related field
 </li>
 <li>
 0&ndash;2 years of experience.
 </li>
 <li>
 Foundational understanding of IFRS and tax principles
 </li>
 <li>
 Strong Excel skills and analytical mindset
 </li>
 <li>
 High attention to detail and strong sense of ownership
 </li>
 <li>
 Excellent communication skills in English and Arabic
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Proficiency in Microsoft Office, particularly Excel and Word.
 </li>
 <li>
 Basic understanding of financial reporting standards (IFRS) and regulatory reporting.
 </li>
 <li>
 Familiarity with tax concepts including VAT and corporate income tax.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 
 
 </li>
 </ul>
 
 Attributes
 
 
 
 <ul>
 <li>
 Detail-oriented and precise, with strong organizational skills.
 </li>
 <li>
 Proactive and dependable, committed to delivering accurate and timely outputs.
 </li>
 <li>
 Collaborative and adaptable, comfortable working with cross-functional teams.
 </li>
 <li>
 Strong sense of accountability and commitment to regulatory compliance.
 </li>
 </ul>
</div>

Regulatory Reporting Associate - Builders Program (Co-op training or Internship)

<div>Why Tamara?

We&rsquo;re proud to be Saudi&rsquo;s first FinTech unicorn. 
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. 
If this sounds like you: curious, driven, and ready to build, we&rsquo;d love to meet you
 
Apply now and join the next generation of Builders! 
 
About the program

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

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.

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.

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.
Our January and June cohorts are your opportunity to move fast, think big, and start building what&rsquo;s next - not someday, but now. 
 
 
Role Summary

As a Training Coordinator, you will be responsible for supporting the design, delivery, and administration of training programs for care staff. This role ensures that training activities &amp; initiatives are well-organized, effectively scheduled, and aligned with organizational standards and regulatory requirements. 
 
Key Responsibilities

Training Coordination &amp; Administration
<ul>
<li>Coordinate the scheduling and logistics of training sessions, workshops, and learning programs for care staff.</li>
<li>Manage training calendars and ensure sessions are communicated clearly to participants and stakeholders.</li>
<li>Organize training venues, materials, equipment, and digital learning resources.</li>
<li>Track attendance, completion rates, and training records.</li>
</ul>
Learning Program Support
<ul>
<li>Support the implementation of care training programs, onboarding initiatives, and mandatory training requirements.</li>
<li>Work closely with the training design team to prepare training materials and learning resources.</li>
<li>Assist in maintaining learning content, presentations, and participant guides.</li>
</ul>
Learning Systems &amp; Data
<ul>
<li>Maintain accurate records within the Learning Management System (LMS) or other training tracking tools.</li>
<li>Generate reports on training completion, compliance, and participation.</li>
<li>Monitor mandatory training requirements and follow up with teams where necessary.</li>
</ul>
Stakeholder Coordination
<ul>
<li>Liaise with care trainers and operational teams to coordinate training needs.</li>
<li>Support trainers and facilitators during training sessions when required.</li>
</ul>
Quality &amp; Continuous Improvement
<ul>
<li>Collect participant feedback after training sessions.</li>
<li>Support the review and improvement of training programs and processes.</li></ul> 
 
Skills &amp; Qualifications

Required
<ul>
<li>Bachelor&rsquo;s degree in Human Resources, Education, Business Administration, or a related field (or equivalent experience).</li>
<li>1&ndash;2 years of experience in training coordination, or learning &amp; development roles.</li>
<li>Strong organizational and scheduling skills.</li>
<li>Excellent communication and stakeholder coordination abilities.</li>
<li>Proficiency in Google Suite and learning management systems.</li>
</ul>
Preferred
<ul>
<li>Experience in contact centers or fintech environments.</li>
<li>Familiarity with compliance training and mandatory learning programs.</li>
<li>Experience supporting training logistics for large or distributed teams.</li>
</ul>
Key Competencies
<ul>
<li>Organization &amp; planning</li>
<li>Attention to detail</li>
<li>Stakeholder management</li>
<li>Communication skills</li>
<li>Problem-solving</li>
<li>Data tracking and reporting</li></ul> 
 
What Success Looks Like in This Role
<ul>
<li>Training programs run smoothly with minimal logistical issues.</li>
<li>High training attendance and completion rates.</li>
<li>Accurate and up-to-date training records.</li>
<li>Positive feedback from learners and trainers.</li></ul></div>

Training Coordinator - Builders Program

RELYzIT

<div>
 
 Sr. Splunk ES Consultant (Freelance) - 3 months- Riyadh, Saudi Arabia
 
 
 At RELYzIT Talent, we don&rsquo;t recruit &mdash; we build. We unite the top 2% of builders &mdash; engineers, architects, creators &mdash; into a movement across Europe and the GCC. Vetted through our VECTOR7&trade; Signal Stack, you&rsquo;re not just hired, you&rsquo;re chosen. This is more than work. This is where builders build the future.
 
 
 About the Role
 
 
 We are seeking a hands-on, Riyadh-based Sr. Splunk Enterprise Security Consultant for a freelance engagement with our client. This is a high-impact role in a high-pressure, regulated environment where your expertise will directly shape security outcomes. You&rsquo;ll be the go-to builder for Splunk ES administration, driving mission-critical security operations and ensuring robust, audit-ready environments.
 
 
 Why This Role Matters
 
 
 Our client operates in a landscape where security, compliance, and real-time insights are non-negotiable. As a Splunk ES Consultant, you will be instrumental in architecting, optimizing, and troubleshooting the backbone of their security intelligence. Your work will empower teams to detect threats faster, respond smarter, and maintain the highest standards of compliance &mdash; making a tangible impact on business resilience and trust.
 
 
 What You&rsquo;ll Be Doing
 
 <ul>
 <li>
 Administer and optimize Splunk Enterprise Security (ES) environments, including Indexers, Search Heads, and clustering.
 </li>
 <li>
 Deploy and manage Universal Forwarders (UF) and Heavy Forwarders (HF) for seamless data ingestion.
 </li>
 <li>
 Lead end-to-end data onboarding from diverse sources: Windows, Linux, network devices, cloud platforms, and APIs.
 </li>
 <li>
 Configure and fine-tune props.conf and transforms.conf for data normalization and enrichment.
 </li>
 <li>
 Implement and maintain CIM normalization to ensure consistent, actionable data models.
 </li>
 <li>
 Design, build, and optimize SPL queries, alerts, dashboards, and correlation rules for proactive threat detection.
 </li>
 <li>
 Troubleshoot ingestion delays, license issues, and search performance bottlenecks with precision and urgency.
 </li>
 <li>
 Integrate Splunk ES with critical security infrastructure: firewalls, proxies, EDR, Active Directory, and more.
 </li>
 <li>
 Collaborate with security and compliance teams to ensure audit readiness and evidence management.
 </li>
 </ul>
 
 Technical Skills &amp; Experience
 
 <ul>
 <li>
 Proven hands-on experience in Splunk ES administration (not just analysis).
 </li>
 <li>
 Deep knowledge of Indexers, Search Heads, clustering, and distributed Splunk architectures.
 </li>
 <li>
 Expertise in deploying and managing UF/HF, and onboarding data from multiple environments.
 </li>
 <li>
 Strong command of SPL, dashboard creation, alerting, and correlation rule development.
 </li>
 <li>
 Advanced troubleshooting skills for ingestion, licensing, and performance issues.
 </li>
 <li>
 Experience with CIM normalization and configuration of props.conf/transforms.conf.
 </li>
 <li>
 Integration experience with firewalls, proxies, EDR, and Active Directory.
 </li>
 <li>
 Bonus: Experience with Splunk ES use cases, incident triage, and UBA exposure.
 </li>
 <li>
 Bonus: Background in audit-ready, compliance-driven environments and ITIL awareness.
 </li>
 </ul>
 
 Mindset &amp; Approach
 
 <ul>
 <li>
 Builder mentality: You own outcomes, not just tasks.
 </li>
 <li>
 Problem-solver: You thrive in high-pressure, regulated environments and deliver under tight deadlines.
 </li>
 <li>
 Compliance-driven: You understand the importance of evidence, audit trails, and regulatory standards.
 </li>
 <li>
 Ready to hit the ground running &mdash; this is not a learning role.
 </li>
 </ul>
 
 Language Proficiency
 
 <ul>
 <li>
 Fluent English required (spoken and written).
 </li>
 </ul>
 
 Other Requirements
 
 <ul>
 <li>
 Based in Riyadh, Saudi Arabia.
 </li>
 <li>
 Freelance position with immediate start and project-based duration.
 </li>
 <li>
 Experience in regulated, audit-ready environments preferred.
 </li>
 <li>
 Awareness of ITIL or similar frameworks is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Ready to build the future with us? Upload your CV and join the movement of elite builders at RELYzIT Talent
 
 
 
 
 
 
 .
 
 
 #RELYzIT #TechJobs #FreelanceTalent #Riyadh #Splunk #SplunkES #SecurityEngineering #SIEM #CyberSecurity #VECTO
 
 
 
 
 
 R7
 
</div>

Senior Splunk ES Consultant

Arla Foods

<div>
 
 
 Business Analyst:
 
 
 
 We are looking to hire a highly driven Business Analyst to assist the company to improve business efficiency.
 
 
 The Business Analyst will support the Commercial Operations and Digital Transformation agenda by translating business needs into data-driven insights, standardized processes, and scalable digital solutions. The role focuses on strengthening SFA utilization, commercial SOP governance, promotion and pricing implementation and governance, streamlining data insights and dashboards of performance visibility, enabling leadership to make faster and more accurate decisions.
 
 
 The Business Analyst should also be able to utilize the monthly reports to identify business areas in need of improvement and present solutions to stakeholders.
 
 
 To be successful as a Business Analyst, you should be able to effectively manage multiple priorities and projects simultaneously. Ultimately, a top-performing Business Analyst should be able to identify ways in which to improve Business-As-Usual Operations and tracking, facilitate and streamline ways of working to increase company performance, and empower all functions in different work streams.
 
 
 
 
 
 
 Business Analyst Responsibilities:
 
 
 
 &middot; Core Admin Work: Pricing Analysis, Standard Operating Procedure drafting and governance, Business Requirement Documentation
 
 
 &middot; Core Analytical Work: Analyze standard processes and identify gaps and improvements, build Power BI reports and Dashboards to increase visibility on performance and ROI insights.
 
 
 &middot; Maintain, test and improving business and systems operations.
 
 
 &middot; Identifying and capitalizing on improvement opportunities across work streams.
 
 
 &middot; Evaluating the performance of project teams to ensure that targets and deadlines are met.
 
 
 &middot; Acting as a liaison between business and local and global IT teams.
 
 
 &middot; Migrate and maintain all reporting from excel to BI tools.
 
 
 &middot; Be a Business Intelligence super user, and plan all future business upgrades/improvements.
 
 
 
 
 
 
 Business Analyst Preferred Skills &amp; Experience:
 
 
 
 Required Skills to Succeed from day 1:
 
 
 &middot; Bachelor&rsquo;s Degree in Business, or IT.
 
 
 &middot; Proficiency in MS Office (MS Word, Excel, PowerPoint).
 
 
 &middot; The ability to handle multiple projects in a fast-paced environment.
 
 
 &middot; Effective communication and time-management skills.
 
 
 &middot; Excellent problem-solving and analytical skills.
 
 
 &middot; Self-driven and motivated to learn and complete points
 
 
 
 
 
 
 Skills &amp; Experience that are highly desirable:
 
 
 
 &middot; Working cross-functionally (sales, supply chain, operations, finance, marketing)
 
 
 &middot; Analyzing mass data and summarizing overall information (customer sell-out data, company sell-in data)
 
 
 &middot; Understanding sales cycle with customers from forecasting to sales, delivery, collection
 
 
 &middot; Strong experience in Excel, Presentation, Business Intelligence tools
 
</div>

Business Analyst

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Business Analyst