senior marketing data analyst

Build AI

<div><h2 class="jobSectionHeader"><b>About Build AI</b></h2><p>
Build AI is the data hyperscaler for Physical AI. We co-design hardware, collection, infrastructure, and research to scale the physical labor dataset orders of magnitude faster than anyone in the world.</p><h2 class="jobSectionHeader"><b>
Job Summary</b></h2><p>
This role exists to hillclimb the dataset objective: the ideal dataset, the objective function, the taxonomy, and the value of incremental data. You take that objective and maximize it: incentives, marketplace design, and collection behavior so the next hour we collect actually moves the score.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Treat the Dataset &amp; Quality objective / value function as the thing you optimize &mdash; not raw hours, not vanity volume</p></li><li><p>
Design marketplace mechanics (task mix, targeting, bonuses, payouts, eligibility) so collectors produce high-value data</p></li><li><p>
Run experiments: treatment assignment, holdouts, pay and bonus tests; keep the ones that hillclimb the objective and kill the rest</p></li><li><p>
Measure whether incremental collection is improving the dataset under the value function, and report that in language ops can act on</p></li><li><p>
Work with software to ship incentive and payout changes into the collection product (not a spreadsheet that never lands)</p></li><li><p>
Watch for Goodhart: collectors optimizing the proxy instead of the objective, and close those holes</p></li></ul><h2 class="jobSectionHeader"><b>
You may be a good fit if you have (Must-have qualifications)</b></h2><ul><li><p>
Quantitative: you can take someone else&rsquo;s objective function and optimize against it</p></li><li><p>
Comfortable designing and reading experiments (assignment, holdouts, power, leakage)</p></li><li><p>
Comfortable with messy field / collection data</p></li><li><p>
You like iteration: small changes, measured against the objective, shipped again</p></li></ul><h2 class="jobSectionHeader"><b>
Strong candidates may also have experience with (Nice-to-have qualifications)</b></h2><ul><li><p>
Experience with marketplaces, incentives, pricing, or growth experimentation (gig, two-sided, or similar)</p></li><li><p>
Experience with payouts, bonuses, or pay systems that moved real money</p></li><li><p>
You have shipped experiment results into a product, not only a notebook</p></li></ul><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li><p>
Competitive pay</p></li><li><p>
Medical, dental, and vision packages with generous premium coverage</p></li><li><p>
$500 per month credit for waiving medical benefits</p></li><li><p>
Housing subsidy of $2k per month for those living within walking distance of the office</p></li><li><p>
Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)</p></li><li><p>
Various wellness benefits covering fitness, mental health, and more</p></li><li><p>
Daily lunch and dinner in our office</p></li><li><p>
Unlimited compute budget subject to ROI justification</p></li><li><p>
Unlimited Codex and Claude credits</p></li><li><p>
Travel</p></li></ul><h2 class="jobSectionHeader"><b>
How we're different</b></h2><p>
Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.</p><p>
We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.</p><p>
Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai</p><p>
Compensation Range: $180K - $280K</p></div>

Data Scientist, Marketplace Incentives

Inside capital

<h3>About the role</h3><p>As a Customer Data Analyst, you will play a critical role in harnessing customer insights to drive strategic decisions across the organization. This position involves analyzing customer datasets, generating actionable insights, and collaborating with various teams to enhance customer engagement and satisfaction.</p><h3>Key responsibilities</h3><ul><li>Analyze large datasets to identify trends, patterns, and insights related to customer behavior and needs, using statistical tools and methodologies.</li><li>Develop and maintain comprehensive dashboards and reports that provide key performance indicators (KPIs) to stakeholders, enabling data-driven decisions.</li><li>Collaborate with cross-functional teams, including marketing, sales, and product development, to align data analysis with business objectives and initiatives.</li><li>Conduct customer segmentation analyses to inform targeted marketing campaigns and improve customer retention strategies.</li><li>Present findings and recommendations to senior management, translating complex data insights into clear and concise narratives that support action plans.</li><li>Ensure data integrity and accuracy by performing regular audits and implementing best practices in data management.</li></ul><h3>Requirements</h3><ul><li>Proficiency in data analysis tools such as SQL, Excel, and data visualization software (e.g., Tableau, Power BI) for effective data manipulation and reporting.</li><li>Strong analytical skills with the ability to interpret complex data sets and present findings in a clear and actionable manner.</li><li>Experience in statistical analysis and customer segmentation methodologies to derive insights that drive business strategies.</li><li>Excellent communication skills, both written and verbal, allowing for effective collaboration with team members and the presentation of data-oriented narratives to various audiences.</li><li>Solid understanding of customer relationship management (CRM) systems and their application in customer analytics.</li></ul><h3>Nice to have</h3><ul><li>Familiarity with programming languages such as Python or R for advanced data analysis and automation of repetitive tasks.</li><li>Knowledge of machine learning concepts and techniques that can be applied to customer data analysis for predictive modeling.</li><li>Previous experience in a customer-focused role, providing insight into customer needs and preferences.</li><li>Certification in data analysis or business intelligence from a recognized institution, enhancing your credibility in data-driven environments.</li></ul><h3>Why join us</h3><ul><li>Join a dynamic and innovative team that values data as a key driver of success and customer engagement.</li><li>Take on a role that offers opportunities for professional growth and development in the rapidly evolving field of customer analytics.</li><li>Contribute to meaningful projects that directly impact customer satisfaction and business performance, making a difference in the organization.</li><li>Enjoy the flexibility of a fully remote work environment that promotes a work-life balance while collaborating with a talented and diverse team across various locations.</li></ul>

Customer Data Anaylst

Crypto Mize

<div><p>Artificial Intelligence Analyst jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis. This is a full-time, permanent position with immediate joining at our New Delhi HQ, applying machine learning to the practice&rsquo;s live intelligence problems. The corpora here are unlike textbook data: multilingual sentiment streams, electoral histories across 18 countries, media-mention floods and coordinated-behavior traces. Analysts build and run the models that turn those into foresight &mdash; feeding a forecasting record the practice stakes its name on. You will own models end-to-end: framing the question, engineering the features, validating honestly, and explaining results to strategists who will act on them. The complete job description &mdash; responsibilities, requirements, seniority path and selection process &mdash; follows.</p>
<div>
 <div><div><div>LOCATION New Delhi (HQ)
 </div><div>EMPLOYMENT Full-time &middot; Permanent
 </div><div>AVAILABILITY Immediate &middot; Rolling intake
 </div><div>COMPENSATION Discussed at screening
</div></div></div></div><div><div><div><div>TRACKS ON THIS DESK35
</div><div>CRAFT SKILLS NAMED11
</div><div>TOOLS &amp; SYSTEMS4
</div><div>PATH STAGES4</div></div></div></div></div>
<br>01
01The actual work
What will you actually do as a Artificial Intelligence Analyst at CryptoMize?
01
Build and run learning models on engagement corpora &mdash; sentiment trajectories, movement prediction, anomaly and coordination detection
02
Frame engagement questions as learnable problems: what to predict, from what signal, validated against what ground truth
03
Engineer features from messy multilingual media, social and survey data &mdash; the difference between a demo and a decision tool
04
Validate honestly: backtesting, leakage control, and communicating uncertainty instead of hiding it
05
Support the practice&rsquo;s electoral forecasting work &mdash; models whose historical accuracy across countries is the product&rsquo;s signature
06
Write the model documentation strategists actually read: what it predicts, what it cannot, and how confident to be
07
Partner with platform teams to move validated models into production pipelines
ROLE RESPONSIBILITIES
As an Artificial Intelligence Analyst you will apply engineering and statistical learning to the practice&rsquo;s persistent problems &mdash; augmenting what analysts and strategists can see in corpora no human could read whole. Most work addresses recurring pain: movement detection, coordination discovery, forecast support and capability augmentation across engagements.
You will carry models through their full life: framing with the strategist, data and feature work, training, honest validation, and the explanation that makes output usable in client rooms. Program leadership duties include governance of how models are used and change management when they reshape a team&rsquo;s workflow.
The standard is production thinking &mdash; REST interfaces, cloud environments, and pipelines others can rerun &mdash; because a model that lives only in a notebook has not happened yet. Client data confidentiality is absolute.
02
02Capability profile
What skills and tools does a Artificial Intelligence Analyst need?
astro-island,astro-slot,astro-static-slot{display:contents}
Craft skills11 Tools &amp; systems4 Offer standards4
Machine learning fundamentals &mdash; regression, classification, ensembles, and when simple beats cleverDeep learning literacy &mdash; sequence and transformer architectures applied to text and time-seriesNLP on noisy multilingual corpora (tokenization, embeddings, transfer learning)Feature engineering from media, social and behavioral dataRigorous validation &mdash; backtesting design, leakage control, honest baselinesPython for ML: pandas, scikit-learn, PyTorch/TensorFlowSQL on multi-gigabyte engagement datasetsUncertainty communication &mdash; confidence, error and limitation explained to non-specialistsExperiment discipline: hypotheses logged, results reproducibleDiscretion with client datasets (NDA-grade)Domain curiosity across political, reputation and security questions
Python 3.11 (pandas, scikit-learn, PyTorch)Jupyter-based analysis repos with Git review disciplinePostgreSQL for feature and training dataExperiment tracking (MLflow-class)
Depth of demonstrated skill in the specific role disciplineClassification and scope of the client engagement the role supportsUrgency and time-sensitivity of active project requirementsTrack record built across CryptoMize engagements
Also known as: ai analyst jobs &middot; machine learning analyst &middot; artificial intelligence analyst openings &middot; ml analyst
03
03Seniority ladder
Artificial Intelligence Analyst &mdash; seniority path at CryptoMize
ML careers advance on the quality of decisions the models enable &mdash; validated, explained, and trusted by the strategists who act on them.
Artificial Intelligence Analyst
Owns models for one to two engagements &mdash; sentiment, prediction and anomaly work with senior review.
1/4
Senior Artificial Intelligence Analyst
Designs modeling architecture for new engagements, leads validation standards, and mentors junior analysts.
2/4
AI Analytics Lead
Runs the modeling cell &mdash; staffing, standards, and final accountability for every number the practice forecasts.
3/4
AI Practice Principal
The apex: owns the practice&rsquo;s AI capability end-to-end &mdash; research direction, production systems and the analyst bench.
4/4
04
04The engagement surface
CryptoMize work a Artificial Intelligence Analyst touches
Every role plugs into live engagements across the five Penta-P domains &mdash; these are the services your work feeds.
Artificial Intelligence Analyst &middot; Job Opening
This seat plugs into 7 live CryptoMize services across the five Penta-P domains &mdash; the work below is where yours lands.
7 SERVICESPENTA-P
 Predictive Intelligence
 Predictive Intelligence Forecasting
 Sentiment Analysis
 Big Data Mining
 Strategic Intelligence
 Trend Analysis
 OSINT
WHAT DOES ARTIFICIAL INTELLIGENCE ANALYST COMPENSATION DEPEND ON?
Compensation is discussed during screening &mdash; never a fixed public figure, because it varies per person and per engagement. It depends on:
# OFFER CONSTRUCTION FACTOR
01 Depth of demonstrated skill in the specific role discipline
02 Classification and scope of the client engagement the role supports
03 Urgency and time-sensitivity of active project requirements
04 Track record built across CryptoMize engagements

Artificial Intelligence Analyst

DizitalAdda

<p>Placement &amp; Corporate Relations Manager</p><p><b>Company:</b> DizitalAdda Group<br/><b>Location:</b> Greater Kailash-2, New Delhi<br/><b>Job Type:</b> Full-Time<br/><b>Experience:</b> 1&ndash;4 Years<br/><b>Work Mode:</b> On-site</p><p>Job Summary</p><p>DizitalAdda Group is looking for a <b>Placement &amp; Corporate Relations Manager</b> to manage student placements and develop strong relationships with companies, HR professionals and recruiters.</p><p>The candidate will handle placements across our brands:</p><ul><li><b>DizitalAdda</b> &ndash; Digital Marketing</li><li><b>Nidads</b> &ndash; Data Science &amp; Data Analytics</li><li><b>Nigape</b> &ndash; Generative AI &amp; Prompt Engineering</li><li><b>NIHACS</b> &ndash; Cyber Security &amp; Ethical Hacking</li></ul><p>The ideal candidate should have strong communication, networking and relationship-building skills and preferably have experience in <b>placement, recruitment, HR, corporate relations or career services</b>.</p><p>Key Responsibilities</p><ul><li>Prepare students for interviews and conduct mock interviews.</li><li>Help students create and improve their CVs and LinkedIn profiles.</li><li>Understand student skills and match them with relevant job opportunities.</li><li>Coordinate interviews, follow-ups, selections and joining.</li><li>Build relationships with HRs, recruiters and hiring managers.</li><li>Generate new corporate tie-ups and placement opportunities.</li><li>Organize placement drives and recruitment activities.</li><li>Maintain company and HR/recruiter databases.</li><li>Track student placement status and prepare regular reports.</li></ul><p>Placement Domains</p><p><b>Digital Marketing:</b> SEO, Performance Marketing, Social Media, Google Ads, Meta Ads, E-commerce</p><p><b>Data &amp; Analytics:</b> Data Analyst, Business Analyst, Data Science, BI, Analytics</p><p><b>AI:</b> Generative AI, Prompt Engineering, LLM, AI Automation, NLP, Computer Vision, Deep Learning</p><p><b>Cyber Security:</b> SOC, Ethical Hacking, VAPT, Penetration Testing, Information Security</p><p>Requirements</p><ul><li>1&ndash;4 years of experience in Placement, Recruitment, HR, Corporate Relations or a similar role.</li><li>Excellent communication and interpersonal skills.</li><li>Strong networking and relationship-building abilities.</li><li>Good knowledge of recruitment and interview processes.</li><li>Comfortable communicating with HRs and hiring managers.</li><li>Strong LinkedIn networking skills.</li><li>Ability to work with targets and deliver measurable placement results.</li></ul><p>Preferred</p><p>Experience in an <b>EdTech, training institute, recruitment agency or placement department</b> will be an advantage.</p><p>An existing network of HRs/recruiters and experience in corporate tie-ups will be highly preferred.</p><p>Key Performance Areas</p><ul><li>Number of active corporate tie-ups</li><li>New companies onboarded</li><li>Job opportunities generated</li><li>Interviews scheduled</li><li>Student selections</li><li>Successful student joinings</li><li>Repeat hiring from corporate partners</li></ul><p>What We Offer</p><ul><li>Opportunity to work across multiple career-focused brands.</li><li>Exposure to Digital Marketing, Data, AI and Cyber Security domains.</li><li>Growth opportunity within a growing organization.</li><li>High ownership and responsibility.</li></ul><p>How to Apply</p><p>Interested candidates can apply through Indeed with their updated resume.<br/>Email- hr@dizitaladda.com.</p><p><b>Job Location:</b> Greater Kailash-2, New Delhi<br/><b>Job Type:</b> Full-Time<br/><b>Experience:</b> 1&ndash;4 Years</p><p>Pay: ₹15,000.00 - ₹25,000.00 per month</p><p>Benefits:</p><ul><li>Cell phone reimbursement</li><li>Paid sick time</li></ul><p>Work Location: In person</p>

Placement & Corporate Relations Manager

HelloFresh

<div><h2 class="jobSectionHeader"><b>Senior Data Analyst</b></h2>
<p><b><i>
This is a hybrid role to our Newark, NJ HelloFresh facility</i></b></p>
<h2 class="jobSectionHeader"><b>
The role</b></h2>
<p>
As a Senior Data Analyst at HelloFresh, you will anchor the data strategy driving our aggressive, automation-first transformation. Our Global Customer Experience (GCX) team's mission is to understand our customers' journeys and empower market leads with insights and intelligent solutions that improve satisfaction, retention, and efficiency. We are moving fast to scale our self-serve rate, achieve 100% chatbot coverage, improve CSAT, and launch real-time, proactive incident communications via in-app CRM channels.</p>
<p>
We need a strategic thought partner for our Product, Engineering, and CX Automation teams who brings a high bar of technical rigor. In this role, you will own our core automation analytics architecture (chatbots, voicebots, agent-assist AI, and customer self-reporting tools), dive deep into GenAI conversational landscapes, and translate complex log data into actionable roadmap strategies. If you love solving open-ended problems and want to directly shape the experience of millions of global customers, you might just be our missing ingredient.</p>
<h2 class="jobSectionHeader"><b>
What you'll do</b></h2>
<ul><li>Anchor the data strategy for our entire automation and chatbot analytics infrastructure, serving as the sole embedded analytics lead within the Global CX department.</li>
<li>Proactively monitor user intents and trends to diagnose system bugs early and establish standardized, organization-wide KPIs for bot containment and NLP accuracy.</li>
<li>Conduct deep-dive analyses of chat transcripts and user journeys, leveraging semantic clustering and LLM evaluation to uncover friction points and tune conversational flows.</li>
<li>Continuously optimize and secure our reporting environment, ensuring data integrity, normalization, and advanced visualization techniques for critical executive decision-making.</li>
<li>Partner closely with cross-functional teams (Product, Engineering, and CX Automation) to translate complex customer log data and system requirements into sustainable roadmap strategies.</li>
<li>Own and deliver core business reporting mechanisms and dashboards, including the Monthly Business Review (MBR) and EBIT reviews.</li>
</ul><h2 class="jobSectionHeader"><b>What you'll bring</b></h2>
<ul><li>A passion for driving automation-first transformations and solving complex operational problems within a fast-paced customer experience environment.</li>
<li>Advanced proficiency in Python and SQL to handle increased domain complexity and secure our underlying reporting architecture.</li>
<li>Experience with next-gen agentic workflow stacks (e.g., Claude Code, Cursor) to optimize development and analytical speed.</li>
<li>Proven track record of designing, implementing, and maintaining high-visibility BI solutions and dashboards that communicate trends clearly to Directors, VPs, and SVPs.</li>
<li>Excellent communication and stakeholder management skills, with the confidence to lead complex data analytics projects and influence cross-functional partner</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You'll get</b></h2>
<ul><li><ul><li>Competitive Salary &amp; 401k company match that vests immediately upon participation</li>
<li>Generous parental leave of 16 weeks &amp; PTO policy, as well as paid holidays off</li>
<li>$0 monthly premium and other flexible health plans</li>
<li>Amazing discounts, including up to 85% off HelloFresh subscription</li>
<li>Emergency child and adult care services</li>
<li>Snacks &amp; monthly catered lunches</li>
<li>Collaborative, dynamic work environment within a fast-paced, mission-driven company</li></ul></li><br>
</ul>
<p></p><p>This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.</p>
<div>
#data</div></div>

Senior Analyst - CX Automation Intelligence & Insights

<ul><div><div><div><div><div><div>All Locations</div></div></div><div><b>
All Locations:</b></div></div><div>
<div>Home Based, Manchester (St James Buildings), London (International House), Leeds (Brewery Wharf)
</div></div></div></div><div><div><div><div><div><div>Vacancy Type</div></div></div><div><b>
Vacancy Type</b></div></div><div>
Permanent</div>
</div></div><div><div><div><div><div><div>Business Area</div></div></div><div><b>
Business Area</b></div></div><div>
QA</div>
</div></div><div><div><div><div><div><div>Function</div></div></div><div><b>
Function</b></div></div><div>
Delivery</div></div></div></ul>
<br><div><ul><div><div><div><h2 class="jobSectionHeader"><b>About The Role</b></h2></div><b>
</b></div></div><div><div><div><div><b>Job Title:</b><br>
Senior Technical Apprenticeship Tutor (L4 Data Analyst &amp; AI Automation, AI Engineer)<br>
<br>
<b>Working Pattern:</b><br>
Homebased with occasional travel as required<br>
<br>
<b>About the role</b><br>
<b>Summary:</b><br>
As a <b>Senior Technical Learning Specialist</b> (Data, AI &amp; Automation), you will deliver apprenticeship programmes across the Data Analyst L4, AI Automation and AI Engineer pathways. You will equip learners with practical data, AI and automation skills through engaging, industry-focused learning experiences, coaching and mentoring to support successful outcomes.<br>
<br>
<b>Role Responsibilities:</b><br>
<br>
<b>Teach key topics including:</b>
<ul><li>Deliver high-quality learning across Data Analyst, AI Automation and AI Engineer programmes.</li>
<li>Teach topics including data analysis, SQL, Power BI, Python, AI, automation, machine learning fundamentals, prompt engineering and Azure technologies.</li>
<li>Use real-world business scenarios to demonstrate the value of data and AI solutions.</li>
<li>Coach and support learners to achieve successful outcomes.</li>
<li>Contribute to curriculum enhancement and best practice.</li>
<li>Maintain up-to-date knowledge of technologies, industry trends and apprenticeship standards.</li>
</ul><b>Your Experience/Skills:</b><br>
<br>
<b>Essential:</b>
<ul><li>Professional experience in Data Analytics, Data Science, AI, Automation, Software Engineering or related disciplines.</li>
<li>Degree or equivalent in a relevant area.</li>
<li>Strong knowledge of SQL, data analysis, visualisation and Python/code.</li>
<li>Experience with AI tools, automation technologies and cloud platforms, preferably Azure/AWS.</li>
<li>Excellent communication, facilitation and engagement skills.</li>
<li>Ability to translate technical concepts into practical workplace application.</li>
<li>Teaching qualification or willingness to work towards one.</li>
</ul><b>Desirable:</b>
<ul><li>Experience delivering apprenticeships, training or technical education.</li>
<li>Master&rsquo;s or PhD qualification in a relevant area.</li>
<li>Experience in AI engineering, machine learning, automation or cloud-native solutions.</li>
<li>Knowledge of modern data platforms and data engineering concepts.</li></ul><br>
<br>
</div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>About Us</b></h2></div><b>
</b></div></div><div><div><div><div><div><b>Wellbeing &amp; benefits</b></div>
<div>Your wellbeing matters to us. That&rsquo;s why we offer benefits designed to help you recharge and thrive, including:</div>
<ul><li>27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays</li>
<li>Holiday Buying scheme</li>
<li>Medicash plan, Wellhub, Cycle to Work scheme</li>
<li>Private Medical Insurance at corporate rates</li>
<li>Employee Assistance Programme</li>
<li>Employee Discounts Benefit Hub</li>
<li>3 Development days</li>
<li>2 Charity days per year</li>
<li>Pension Scheme</li>
<li>Early Friday Finish at 4pm</li>
</ul><div><b>Personal growth</b><br>
Learning and opportunity is at the core of what we do - and that applies to you too!<br>
You&rsquo;ll have the unique opportunity to develop your skills on our QA authored courses in the latest tech (you&rsquo;ll get 3 training days/year to do this). You can also delve deep into our world-class digital learning content on a variety of tech and business topics. Orperhaps you&rsquo;d like to enrol on a Degree or Masters programme to enhance your skillset or learn new things.</div>
<div></div>
<div></div><div><b>Our people</b></div>
<div>We are an equal opportunity employer, focused on promoting a welcoming and inclusive environment. We embrace diversity, welcome applications from all candidates and aim to support the career growth of everyone. This means no matter what your gender, age, ethnicity, beliefs, or sexual orientation, or if you are disabled or a carer, we welcome you and the different perspectives you bring to our diverse family. We&rsquo;re proud of the progress we&rsquo;ve achieved over the last few years to build an inclusive culture and celebrate our diversity.<br>
</div><div>As a Disability Confident Employer, we guarantee that all applicants with a disability who meet the role criteria will progress to the next stage of the process. Please let us know if you require any reasonable adjustments.</div>
<div></div>
<div></div><div><b>A little about QA</b><br>
At QA, we believe the future belongs to organisations that are able to learn, master and apply new skills at pace and scale. As the largest tech training company in the UK and the fastest growing in the US, we partner with 96% of the FTSE and most of the Fortune 500. We have served over 4,000 customers and 1+ million learners in the last 3 years.</div>
<div></div>
<div></div><div><b>Our Mission</b><br>
We teach the critical AI, technology, digital and Human skills needed to transform and succeed in a changing world.We do this through tailored learning programmes that connect learning across an organisation, create continuity for learners, and feature collaborative, cohort-based modalities to apply skills at pace and at scale. Our unique end-to-end learning solutions draw from deep expertise across Apprenticeships, Instructor-led training, Self-paced Learning and Blended Learning.</div>
<div></div><div>You can find out more about us at https://www.qa.com/about/careers/</div></div></div></div></div></ul><p></p><div><br>
<p></p><div><div>
</div><div></div><ul><div><div>Facebook</div></div>
<div></div><div><div>X</div></div>
<div></div><div><div>LinkedIn</div></div>
<div></div><div><div>WhatsApp</div></div>
<div></div><div><div>Email</div></div></ul></div></div></div>

Technical Apprenticeship Tutor (AI Automation)

Scope Investment

<h2><strong>Introduction</strong></h2><p> </p><p>Al Boom Marine has been operating in the GCC for over 35 years and is now one of the longest standing retail businesses in the MENA region. Throughout its history, ABM has demonstrated an impressive ability to keep up with ever-changing market developments, which has led to the company diversifying its operations across retail, wholesale, and successful e-commerce ventures throughout the MENA region.</p><p> </p><p>ABM’s diverse portfolio includes a wide range of brands across six main divisions: Apparel, Footwear &amp; Accessories (AFA), Cycling, Consumer Electronics, Optical, and Sports. Thanks to its market expertise and successful business endeavours, ABM has earned a reputation as a strong market leader across the MENA region.</p><p> </p><h2><strong>Purpose</strong></h2><p> </p><p>ABM is seeking an experienced and commercially driven Senior Finance Analyst to join our Finance team. The Senior Finance Analyst will play a key role in financial planning, budgeting, forecasting, management reporting, and performance analysis across Retail, Wholesale, and E-commerce channels.</p><p> </p><p>The role will work closely with cross-functional teams to provide actionable financial insights, identify business risks and opportunities, support strategic decision-making, and contribute to sustainable business growth and improved financial performance.</p><p> </p><p>This is a great opportunity for a commercially focused finance professional to join our dynamic and growing team.</p><p> </p><p><strong>Title:</strong> Senior Finance Analyst<br /><strong>Reporting Manager:</strong> Senior Finance Manager<br /><strong>Location:</strong> Dubai, UAE</p><p> </p><h2><strong>Responsibilities</strong></h2><p> </p><h3><strong>Financial Planning &amp; Analysis (FP&amp;A)</strong></h3><p> </p><ul><li>Build and maintain annual budgets, monthly budgets, and rolling forecasts across channels, brands, and stores.</li><li>Track business performance against budget, forecast, and prior year, identifying key risks and opportunities.</li><li>Prepare monthly P&amp;L analysis by channel, brand, and store, including variance analysis.</li><li>Develop and maintain KPI dashboards covering sales, margins, operating expenses, and inventory.</li><li>Provide financial insights and scenario analysis to support management decision-making.</li><li> </li></ul><h3><strong>Management Reporting &amp; Business Support</strong></h3><p> </p><ul><li>Prepare monthly management reporting packs and presentations for business reviews and leadership meetings.</li><li>Work closely with accounting during month-end close, including accruals and analytical reviews.</li><li>Support new store feasibility studies, lease renewals, and other investment cases.</li><li>Provide ad hoc financial analysis and decision support to management.</li><li> </li></ul><h3><strong>Systems &amp; Process Improvement</strong></h3><p> </p><ul><li>Improve financial models and automate recurring reports using Excel, Power BI, and AI tools.</li><li>Support ERP and BI system enhancements and ensure financial master data remains accurate.</li><li>Document reporting and financial processes to ensure consistency, efficiency, and auditability.</li></ul><h2> </h2><h2><strong>Skills &amp; Experience</strong></h2><p> </p><ul><li>Bachelor’s degree in Finance, Accounting, or a related field.</li><li>CIMA, ACCA, CA, or CFA qualification (qualified or part-qualified) is preferred.</li><li>5–8 years of experience in FP&amp;A or commercial finance, with 2–3 years preferably within retail.</li><li>Experience in multi-store, multi-channel, or franchise businesses is preferred.</li><li>GCC experience is strongly preferred.</li><li>Advanced Excel and strong PowerPoint skills are essential.</li><li>Experience with Power BI or similar business intelligence tools is an advantage.</li><li>Hands-on experience with Microsoft Dynamics or a similar major ERP system.</li><li>Strong financial modelling, analytical, and problem-solving skills.</li><li>Excellent communication and presentation skills with strong commercial acumen.</li><li>Ability to manage multiple priorities, meet deadlines, and work effectively with cross-functional teams.</li></ul>

Senior Finance Analyst

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