ai business analyst

NATIONMIND LLC

<div><div><div>About NationMind LLC:<br>
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Business Analyst with Prompt Engineering to join our growing team.<br>
<br>
<b>Role:</b> AI Business Analyst with Prompt Engineering<br>
<b>Location:</b> Houston, TX or US Remote<br>
<b>Duration:</b> 6-12 Months<br>
</div><div><b>Job Description</b></div>
<div>We are seeking an <b>AI Business Analyst with Prompt Engineering</b> experience to support AI-driven business initiatives and enterprise AI operations.<br>
</div><div><b>Required Qualifications</b></div>
<ul><li>Strong business analysis experience in AI, IT operations, automation, software delivery, digital transformation, enterprise support, platform enablement, or SaaS operations.</li>
<li>Good understanding of GenAI tools and platforms such as ChatGPT Enterprise, Claude Enterprise, OpenAI API, enterprise AI workspaces, and model orchestration concepts.</li>
<li>Experience with Slack-based support, Zendesk, Jira, Confluence, ServiceNow, or similar intake, workflow, and ticketing platforms.</li>
<li>Understanding of AI agents, tool calling, prompt behavior, human-in-the-loop workflows, agent lifecycle management, and runtime orchestration concepts.</li>
<li>Understanding of license management, user provisioning, Okta SCIM, access approvals, enterprise identity workflows, and access governance concepts.</li>
<li>Ability to convert ambiguous business and AI operations needs into structured requirements, workflows, user stories, acceptance criteria, test cases, and operating procedures.</li>
<li>Strong process mapping skills for workflows involving users, systems, approvals, exceptions, escalations, and operational support flows.</li>
<li>Ability to work with technical teams on APIs, integrations, MCP tools, data sources, runtime behavior, and model configuration requirements.</li>
<li>Experience working in Agile delivery teams with sprint planning, backlog grooming, demos, velocity tracking, and iterative delivery methodologies.</li>
<li>Ability to write clear process documents, SOPs, runbooks, user guides, support playbooks, and structured operational documentation.</li>
<li>Strong stakeholder management and communication skills across business users, product owners, engineering, security, governance, platform, and support teams.</li>
<li>Working knowledge of AI governance concepts including data privacy, access control, retention, redaction, model usage policies, responsible AI, and enterprise governance requirements.</li>
<li>Comfortable creating structured documentation for agent builds, testing, deployment, operational support, lifecycle management, and release processes.</li>
</ul><div><b>Key Responsibilities</b></div>
<ul><li>Gather, analyze, and document business requirements for AI and enterprise operations initiatives.</li>
<li>Support AI platform operations, automation workflows, and digital transformation programs.</li>
<li>Collaborate with cross-functional teams including business users, product owners, engineering, security, governance, and support teams.</li>
<li>Define and document workflows, user stories, acceptance criteria, test cases, SOPs, runbooks, and operational procedures.</li>
<li>Assist in AI agent lifecycle management, prompt engineering activities, workflow orchestration, testing, deployment, and operational support.</li>
<li>Support integrations involving APIs, MCP tools, enterprise systems, and AI platforms.</li>
<li>Ensure adherence to AI governance, data privacy, access control, and enterprise compliance requirements.</li>
<li>Participate in Agile ceremonies including sprint planning, backlog grooming, demos, and delivery tracking.</li>
</ul>
</div><p>This is a remote position.</p></div>

AI Business Analyst with Prompt Engineering

Impronics Technologies

<div><div><b>Job Summary</b></div><div>
We are looking for an experienced Business Analyst with strong expertise in banking processes and AI-driven solutions. The ideal candidate will work closely with business stakeholders, technology teams, and data science teams to gather requirements, analyze business processes, and support the implementation of AI/ML-based banking solutions. The role requires strong analytical skills, stakeholder management, and knowledge of digital banking and regulatory frameworks.</div><div></div><div><b><br>
Key Responsibilities</b></div><div><b>
Business Analysis &amp; Requirement Gathering</b></div><ul><li>
Gather, analyze, and document business requirements for AI-driven banking solutions.</li><li>
Translate business needs into functional specifications, BRDs, FRDs, user stories, and process flows.</li><li>
Conduct gap analysis, feasibility studies, and impact assessments for AI use cases.</li><li>
Collaborate with product, technology, and data science teams to align AI capabilities with business objectives.</li><li>
Support UAT planning, test case preparation, and validation of AI-enabled solutions.</li></ul><div><b>
AI &amp; Data-Driven Solutioning</b></div><ul><li>
Identify opportunities to implement AI/ML, NLP, predictive analytics, and automation across banking operations.</li><li>
Work with data science teams to define model requirements, training datasets, and performance metrics.</li><li>
Support AI solution development for:<ul><li>
Chatbots &amp; voicebots</li><li>
Fraud detection &amp; risk scoring</li><li>
Credit decisioning models</li><li>
Customer segmentation &amp; personalization</li><li>
Intelligent process automation</li></ul></li><li>
Validate AI model outputs to ensure alignment with business and regulatory expectations.</li></ul><div><b>
Banking Domain Expertise</b></div><ul><li>
Analyze and optimize banking processes across retail banking, corporate banking, lending, payments, onboarding, KYC/AML, and digital banking channels.</li><li>
Ensure compliance with banking regulations, risk frameworks, and data privacy standards such as GDPR, PCI-DSS, SWIFT CSP, and PDPL.</li><li>
Work closely with compliance and risk teams to support responsible AI governance.</li></ul><div><b>
Stakeholder Management</b></div><ul><li>
Act as a bridge between business teams, technology teams, and AI/data teams.</li><li>
Conduct workshops, requirement gathering sessions, and stakeholder discussions.</li><li>
Prepare business cases, executive presentations, and ROI assessments for AI initiatives.</li></ul><div><b>
Required Skills &amp; Experience</b></div><ul><li>
6&ndash;10+ years of experience as a Business Analyst, including at least 2+ years in AI/ML or data-driven projects.</li><li>
Strong understanding of banking operations, digital channels, lending, payments, and regulatory frameworks.</li><li>
Hands-on experience with:<ul><li>
AI/ML concepts and model lifecycle</li><li>
NLP, chatbots, RPA, predictive analytics</li><li>
Data visualization tools such as Power BI or Tableau</li><li>
Agile/Scrum methodologies</li></ul></li><li>
Strong experience in documentation including BRDs, FRDs, BPMN, UML, and user stories.</li><li>
Excellent analytical, problem-solving, and communication skills.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Experience with AI platforms such as Azure AI, AWS AI/ML, or Google Vertex AI.</li><li>
Certifications such as CBAP, CCBA, PMI-PBA, Scrum Master, or AI-related certifications.</li><li>
Exposure to cloud-based data platforms and MLOps environments.</li></ul><div><b>
Soft Skills</b></div><ul><li>
Strong stakeholder engagement and communication skills.</li><li>
Ability to simplify complex AI concepts for non-technical stakeholders.</li><li>
Detail-oriented, proactive, and adaptable in fast-paced banking environments.</li><li>
Strong multitasking and time management abilities.</li></ul></div>

Business Analyst – AI Solutions

Howard-Sloan Search

<div>
 <p>
  <strong>
   Our client Global Investment Management Firm
  </strong>
 </p>
 <p>
  <strong>
   is seekng
  </strong>
 </p>
 <p>
  Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 </p>
 <p>
  <strong>
   for a
  </strong>
  Full Time role
 </p>
 <p>
  4 days onsite / 1 day remote in their Park Avenue, New York offices
 </p>
 <p>
  <strong>
   Salary:
  </strong>
  $95&ndash;100K base / 10&ndash;15% bonus
 </p>
 <p>
  <strong>
   Level
  </strong>
  : Analyst, Data Science &amp; Analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This role Reports to
  </strong>
  :
  <strong>
  </strong>
  MD, DSA
  <strong>
  </strong>
  &amp;
  <strong>
  </strong>
  Executive Director, AI &amp; Business Analysis (AI Lead)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   you will be working directly with
  </strong>
  :
  <strong>
  </strong>
  MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisation
 </p>
 <p>
  <br/>
 </p>
 <p>
  seeking Data Science &amp; Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,
 </p>
 <p>
  seeking a technically strong Data Science &amp; Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.
 </p>
 <p>
  Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm&rsquo;s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.
 </p>
 <p>
  As a Data Science &amp; Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.
 </p>
 <p>
  To achieve this, we need an Analyst who can:
 </p>
 <p>
  Apply rigorous quantitative methods to client and business problems
 </p>
 <ul>
  <li>
   Build, test, and refine models and analytical assets using structured and unstructured data
  </li>
  <li>
   Translate data into clear findings, recommendations, and decision support
  </li>
  <li>
   Contribute to internal AI and analytics capabilities that can scale across teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Key Responsibilities
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Quantitative Analysis &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
  </li>
  <li>
   Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
  </li>
  <li>
   Evaluate model performance, document assumptions, and support model validation and testing
  </li>
  <li>
   Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
  </li>
  <li>
   Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
  </li>
 </ul>
 <p>
  <strong>
   Client Delivery Support
  </strong>
 </p>
 <ul>
  <li>
   Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
  </li>
  <li>
   Help frame business questions into analytical hypotheses, required data inputs, and model approaches
  </li>
  <li>
   Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
  </li>
  <li>
   Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
  </li>
  <li>
   Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
  </li>
 </ul>
 <p>
  <strong>
   AI &amp; Internal Platform Contribution
  </strong>
 </p>
 <ul>
  <li>
   Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
  </li>
  <li>
   Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
  </li>
  <li>
   Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
  </li>
  <li>
   Partner with engineering and business teams to move analytical solutions from prototype to practical usage
  </li>
 </ul>
 <p>
  <strong>
   Measurement, Governance, and Controls
  </strong>
 </p>
 <ul>
  <li>
   Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
  </li>
  <li>
   Support adherence to internal standards related to model governance, data quality, explainability, and information security
  </li>
  <li>
   Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
  </li>
  <li>
   Help maintain disciplined testing, issue tracking, and version control across analytical work
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ways of Working
  </strong>
 </p>
 <ul>
  <li>
   Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
  </li>
  <li>
   Collaborate effectively across data science, business analysis, technology, and business stakeholders
  </li>
  <li>
   Learn quickly, absorb context fast, and contribute across multiple workstreams at once
  </li>
  <li>
   Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
  </li>
  <li>
   Master&rsquo;s degree is a plus, but not required
  </li>
 </ul>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   2 years of experience in data science, analytics, quantitative consulting, financial services,
  </li>
  <li>
   experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
  </li>
  <li>
   Experience supporting client-facing analytical work is a plus
  </li>
 </ul>
 <p>
  <strong>
   Core Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong quantitative, statistical, and problem-solving capabilities
  </li>
  <li>
   Ability to structure ambiguous questions into analytical workplans
  </li>
  <li>
   Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
  </li>
  <li>
   High attention to detail and ability to deliver under tight timelines
  </li>
 </ul>
 <p>
  <strong>
   AI, Data, and Technical Skills
  </strong>
  required
 </p>
 <ul>
  <li>
   Experience with Python and SQL
  </li>
  <li>
   Strong statistical analysis skills
  </li>
  <li>
   Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
  </li>
  <li>
   Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
  </li>
  <li>
   Familiarity with working across structured and unstructured datasets
  </li>
  <li>
   <strong>
   </strong>
   comfortable operating in a fast-paced, high-expectation environment
  </li>
  <li>
   Interested in applying quantitative methods to real commercial and client outcomes
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Preffered skills:
 </p>
 <ul>
  <li>
   Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
  </li>
  <li>
   Familiarity with Power BI, Tableau, or similar visualization tools is a plus
  </li>
  <li>
   Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  PS
 </p>
 <p>
  must currently reside in the NY metro area
 </p>
 <p>
  must have a valid Work Permit for the Permanent employement
 </p>
 <p>
 </p>
</div>


Data Science (Python) Quant Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
<br><div>Senior Data Analyst joining the BI team to provide independent, end-to-end analytical support to business stakeholders across finera. The role combines strong analytical thinking, SQL fluency, and deliberate use of AI tooling &mdash; Claude-generated artefacts, AI-assisted SQL drafting &mdash; as a force multiplier; the expectation is to do more with AI, not less rigorous work. The analyst operates across the full landscape of finera&rsquo;s information systems, translating business questions into reliable, repeatable answers, and acts as a trusted analytical partner to department heads rather than a ticket-taker.<br>
<br>
<b>Required Experience:</b>
<ul><li>5+ years experience as a Data Analyst, BI Analyst, or equivalent IC role, ideally in fintech, payments, or another regulated, data-intensive industry.
</li><li>Bachelor&rsquo;s degree in a quantitative discipline (Computer Science, Statistics, Mathematics, Economics, Engineering) or equivalent demonstrable experience.
</li><li>Demonstrated track record of working independently with non-technical business stakeholders to translate ambiguous questions into structured analyses and decisions.
</li><li>Hands-on experience operating across multiple, heterogeneous data systems (relational databases, SaaS platforms, file-based exports) without requiring engineering hand-holding for data extraction.
</li><li>Comfortable working in an environment subject to PCI DSS and other regulatory controls, with appropriate handling of sensitive financial and personal data.
</li><li>Strong proficiency in integrating AI tools into daily workflows to drive efficiency, quality, and innovation
</li></ul>
<br>
<b>Required Skills &amp; Competencies:</b>
<ul><li>Strong SQL &mdash; complex joins, CTEs, window functions, performance-conscious query design &mdash; applied to PostgreSQL or comparable relational databases.
</li><li>Strong Tableau &mdash; dashboard design, calculated fields, parameters, performance tuning, publishing and permissioning on a shared server.
</li><li>Working knowledge of Python (pandas, requests, or equivalent) for data extraction, transformation, and integration tasks where SQL alone is insufficient.
</li><li>Fluent, deliberate use of AI tooling (Claude or comparable) to accelerate analytical work &mdash; including prompt design for SQL generation, validation of AI output, and creation of Claude-generated artefacts for stakeholder communication.
</li><li>Strong analytical and critical thinking combined with excellent written and verbal communication in English &mdash; able to challenge stakeholder framing, identify the question behind the question, and present findings clearly to both technical and non- technical audiences.
</li></ul>
<br>
<b>Nice-to-have/Preferred:</b>
<ul><li>Domain familiarity with payments, payment gateways, processor settlements, FX, or card schemes &mdash; understanding of concepts such as authorisation, capture, chargebacks, interchange, and effective rate calculations.
</li><li>Exposure to Salesforce reporting (SOQL, Reports &amp; Dashboards) &mdash; relevant given Salesforce&rsquo;s role as a primary CRM and operational data source at finera.
</li><li>Partner directly with stakeholders across finera (commercial, operations, finance, product, risk, compliance) to scope analytical questions, define success criteria, and deliver answers in the form best suited to the audience &mdash; Tableau dashboards, Claude-generated artefacts, ad-hoc reports, or written briefs.
</li><li>Independently retrieve, join, and validate data from across finera&rsquo;s information systems &mdash; PostgreSQL databases, Salesforce, Zendesk, Jira/Confluence, Slack, Gmail, processor settlement files, and any other relevant source &mdash; without relying on engineering support for routine extraction.
</li><li>Build, maintain, and continuously improve the BI team&rsquo;s Tableau dashboards and reporting suite, including operational reports, executive dashboards, and recurring management decks.
</li><li>Use AI tooling (Claude and comparable assistants) deliberately as a force multiplier &mdash; drafting and validating SQL, accelerating exploratory analysis, generating stakeholder-ready artefacts &mdash; while retaining full ownership of correctness, business interpretation, and data quality.
</li><li>Document data sources, business definitions, and analytical methodology so that work is reproducible, auditable, and transferable across the BI team.
</li></ul>
<br>
<b>Benefits-</b>
<ul><li>Competitive salary package aligned with experience and market standards.
</li><li>Medical Insurance starting from day 1.
</li><li>Access to training resources and development opportunities that support your professional growth.
</li><li>Well-stocked office with snacks, drinks, and refreshments available daily.
</li><li>A multinational organisation that promotes a strong, collaborative culture
</li><li>Regular team-building events and company activities that strengthen collaboration across teams.
</li><li>Employee Recognition Program celebrating our &quot;Employee of the Month&quot; with special perks.</li></ul></div>

Senior Data Analyst

Goodman Masson Oman

<div>
 <p>
  A new financial markets infrastructure venture is being established in Oman, backed by prominent institutional investors and operating under an international common law framework. The platform is being built from scratch, to go-live in 2027, and is designed to operate as a regulated financial market infrastructure from day one
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring two Business Analysts to sit at the engine room of the programme. A regulated financial market infrastructure being built from a blank sheet generates an enormous volume of design, process, and operational documentation that needs to be produced, standardised, kept current, and used to drive downstream artefacts including test plans, training materials, runbooks, and regulatory submissions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This programme operates as a highly AI-leveraged programme office, with Claude adopted as the standard productivity tool. The Business Analyst is the human who knows the business, knows the documentation standards, prompts Claude well, and rigorously checks and refines its output. The principle is clear: AI is the servant, never the master. Human accountability for accuracy, judgement, and domain interpretation is non-negotiable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What the role covers
  </strong>
 </p>
 <ul>
  <li>
   Producing, structuring, and maintaining the programme's delivery documentation: process maps, workflow diagrams, design documents, decision logs, operational procedures, runbook drafts, training materials, and papers
  </li>
  <li>
   Driving consistency of documentation across the programme: common templates, terminology, structure, and version control
  </li>
  <li>
   Operating as a skilled user of Claude: prompting effectively, iterating, refining, and treating AI output as a first draft to be improved, never as a finished product
  </li>
  <li>
   Identifying opportunities to use AI to compress effort across the programme, for example generating test plans from design documents or training material from runbooks
  </li>
  <li>
   Mapping current-state and target-state processes across the operating model in collaboration with the Product Owner, Operations Lead, Head of Operations Control, and other business owners
  </li>
  <li>
   Maintaining the programme RAID log; supporting the Project Manager on plan maintenance, dependency tracking, and status reporting
  </li>
  <li>
   Generating test artefacts from upstream design documentation: test plans, test cases, test data requirements, and traceability matrices
  </li>
  <li>
   Absorbing domain knowledge actively: how a CSD works, how settlement happens, how registry is maintained, how corporate actions flow, and what the regulator requires
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we are looking for
  </strong>
 </p>
 <p>
  At least three years in a business analyst, process analyst, or documentation-heavy role, ideally in financial services or another regulated industry. Strong process mapping and documentation skills: able to translate verbal discussion into clear, structured written output.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Fast learner: able to absorb new domain knowledge quickly and use it accurately. High proficiency in Microsoft Office and standard process-mapping tools (Visio, Lucidchart, Miro, or equivalent). Fluent in English.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Demonstrable, hands-on fluency with Claude or equivalent large language models as a productivity multiplier in real work is required. Candidates should be able to describe specific examples. Candidates without prior Claude experience but with strong evidence of fast AI adoption will be considered.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Exposure to financial market infrastructure or capital markets and post-trade processes is an advantage. So is experience producing documentation subject to regulatory inspection or external audit.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What this is
  </strong>
 </p>
 <p>
  This is a hands-on, productive role for fast learners who want to operate at the frontier of how a modern programme office works. The post-holder will not be a passive note-taker. They will be expected to absorb domain knowledge quickly, drive their own work, and continuously raise the standard and consistency of programme documentation. If that is the way you work and you have the AI fluency and documentation discipline to back it up, this is worth a conversation.
 </p>
</div>


Business Analyst

QNBeyond Plus

<div>
 <p>
  About the Role
 </p>
 <p>
  We are looking for a
  <strong>
   Business Data Analyst
  </strong>
  to join our Data Management and AI team and support data-driven decision-making across our digital banking platform.
 </p>
 <p>
  In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives.
 </p>
 <p>
  This position is ideal for a
  <strong>
   junior analyst
  </strong>
  who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment.
 </p>
 <p>
  Team Overview
 </p>
 <p>
  The
  <strong>
   Data Management and AI team
  </strong>
  works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights.
 </p>
 <p>
  Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers.
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  Business &amp; Data Collaboration
 </p>
 <ul>
  <li>
   Act as a bridge between
   <strong>
    business stakeholders and data teams
   </strong>
   .
  </li>
  <li>
   Gather and document
   <strong>
    reporting and analytics requirements
   </strong>
   .
  </li>
  <li>
   Translate business questions into
   <strong>
    metrics, KPIs, and analytical insights
   </strong>
   .
  </li>
 </ul>
 <p>
  Analytics &amp; Reporting
 </p>
 <ul>
  <li>
   Design and develop
   <strong>
    dashboards and reports
   </strong>
   to support business decisions.
  </li>
  <li>
   Validate that analytical outputs accurately answer business needs.
  </li>
 </ul>
 <p>
  Data Analysis
 </p>
 <ul>
  <li>
   Analyze business data to identify patterns, trends, and opportunities.
  </li>
  <li>
   Support teams in using data to improve customer experience and operational performance.
  </li>
 </ul>
 <p>
  Stakeholder Engagement
 </p>
 <ul>
  <li>
   Lead analytical initiatives and influence stakeholders with data insights.
  </li>
  <li>
   Ensure effective communication between business teams and technical teams.
  </li>
 </ul>
 <p>
  What We Are Looking For
 </p>
 <p>
  You must be:
 </p>
 <ul>
  <li>
   <strong>
    Self-motivated
   </strong>
   , proactive, and results-driven
  </li>
  <li>
   A
   <strong>
    team player
   </strong>
   who enjoys collaboration and learning
  </li>
  <li>
   A
   <strong>
    problem solver
   </strong>
   who approaches challenges with analytical thinking
  </li>
  <li>
   <strong>
    Customer-oriented
   </strong>
   , committed to delivering valuable insights
  </li>
  <li>
   <strong>
    Detail-oriented
   </strong>
   , especially regarding data quality and compliance
  </li>
  <li>
   Adaptable and eager to grow in a
   <strong>
    fast-paced fintech environment
   </strong>
  </li>
 </ul>
 <p>
  Qualifications
 </p>
 <p>
  Technical Skills
 </p>
 <ul>
  <li>
   Strong knowledge of
   <strong>
    SQL
   </strong>
  </li>
  <li>
   Good understanding of
   <strong>
    data modeling concepts
   </strong>
  </li>
  <li>
   Knowledge of
   <strong>
    business intelligence tools
   </strong>
   is a plus
  </li>
 </ul>
 <p>
  Professional Skills
 </p>
 <ul>
  <li>
   Strong
   <strong>
    verbal and written communication skills
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    requirements gathering and documentation
   </strong>
  </li>
  <li>
   Basic leadership or initiative-taking capabilities
  </li>
 </ul>
 <p>
  Domain Knowledge
 </p>
 <ul>
  <li>
   Knowledge of
   <strong>
    banking or financial services
   </strong>
   is a plus
  </li>
  <li>
   Experience working in
   <strong>
    regulated environments or PCI/DSS compliance
   </strong>
   is advantageous
  </li>
 </ul>
 <p>
  Experience
 </p>
 <ul>
  <li>
   <strong>
    2+ years of experience in data analysis, business analysis, or system analysis
   </strong>
  </li>
  <li>
   At least
   <strong>
    1 year of experience in fintech or regulated environments
   </strong>
   is preferred
  </li>
 </ul>
</div>


Business Data Analyst

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><div><b>Department:</b> Data Insights &amp; Automation, Digital &amp; Technology Platform Services.</div><div><b>
Location:</b> Cairo, Egypt.</div><div></div><div><br>
</div><div>We are looking for a <b>Product Analyst</b> to join our Analytics Products Engineering team and support the evolution of <b>RGM &amp; Finance products </b>within a portfolio of core AI powered solutions across the Commercial and Finance streams.</div><div></div><div><br>
RGM &amp; Finance products are AI powered decision engines that transform complex commercial and financial data into actionable insights to drive profitable growth. The Promo Advanced Analytics Tool (PAAT) enables deep post event analysis to evaluate promotional effectiveness and ROI, while within the Revenue Growth Management stream, the OBPPC product supports commercial strategy and Pricing Copilot focuses on pricing optimization, enabling more responsive, data driven decisions aligned with market dynamics.</div><div></div><div><br>
In the Finance stream, AI powered analytics transform financial, tax related and contractual data into trusted insights. This includes solutions that support corporate audits through automated validation of CDE contracts, the Tax Management Fees tool that strengthens tax governance by simplifying and digitizing general management fees processes and supporting activities collection for general management fees process, and the Finance A&amp;I Channel Profitability Ecosystem, which integrates financial internal and external data into actionable plans&mdash;enabling disciplined, scalable execution across markets.</div><div></div><div><br>
Within this context, the Product Analyst plays a critical role in turning product vision and design into execution-ready delivery &mdash; ensuring clarity, consistency, and quality across requirements, solution design, and implementation.</div><div></div><div><br>
This role sits at the heart of the product team, working closely with Product Management, Design, Data Science, and Engineering to drive high-quality, scalable, and impactful solutions.</div><div></div><div><br>
</div><div><b>YOUR KEY RESPONSIBILITIES:</b></div><ul><li> Translate design inputs, user journeys, and business needs into clear functional specifications and structured requirements</li><li> Support the Product Manager in shaping features, user stories, and acceptance criteria</li><li> Ensure requirements are complete, consistent, and aligned with product objectives</li><li> Act as the bridge between design intent and technical implementation</li><li> Work closely with Data Science teams to define expected outputs, assumptions, and interpretation logic</li><li> Validate analytical and AI outputs against business expectations and use cases</li><li> Monitor product usage and operations, identifying improvement opportunities</li><li> Shape solution designs together with the Product Manager, Architect, and engineering teams.</li><li> Define and maintain high‑quality backlog items (Epics, Features, User Stories) and support sprint planning.</li><li> Participate in estimation sessions and contribute to effort sizing with engineering team.</li><li> Support validation of end-to-end scenarios and product behavior</li><li> Identify gaps, inconsistencies, and improvement areas proactively</li><li> Partner with engineering, data, and governance teams to align end‑to‑end product delivery.</li><li> Maintain documentation (Wikis, flow diagrams, functional specs, Product Changelog).</li><li> Identify improvement opportunities based on data, feedback, and performance trends.</li><li> Support release readiness, testing validation, and operational handover.</li></ul><div></div><div><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></div><ul><li> Bachelor's degree in Information Technology, Computer Science, or related field.</li><li> 3&ndash;5 years of experience in a Product Analyst, Business Analyst, or similar role within digital or data-driven environments</li><li> Strong grasp of Agile / SAFe and experience working in cross-functional product teams</li><li> Can translate designs and business needs into clear, structured, and testable product specifications</li><li> Communicate effectively and manage stakeholders with confidence</li><li> Confident in working closely with Product Managers, Designers, Data Scientists, and Engineers</li><li> Think analytically, enjoy solving problems, and pay strong attention to detail</li><li> Comfortable with ambiguity and can adapt quickly in fast-paced, AI-driven environments</li><li> Tech-savvy, curious, and proactive in exploring new tools and approaches</li><li> Experience in FMCG, Commercial and Finance domains</li><li> Familiar with Python, SQL, and general data concepts</li><li> Have exposure to Azure, Databricks, PBI, AI/ML, or data-intensive products</li><li> Excellent problem-solving and debugging skills.</li><li> Excellent spoken and written English</li><li> Communication, organizational and analytical skills</li></ul><div></div><div><b><br>
ABOUT YOUR NEW TEAM:</b></div><div>
We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.</div><div>
We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.</div><div>
We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.</div><div>
And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.</div><div></div><div><b><br>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></div><div>
At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div></div></div></div></div></div></div></div>

Product Analyst – RGM & Finance A&I Solutions

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