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Confidential Careers

<div>
 
 The
 
 Data Analyst
 
 is responsible for analyzing large datasets, identifying trends and anomalies, and generating data-driven insights to support investigations, risk assessment, compliance, and business decision-making. The role focuses on data validation, reporting, dashboard development, and supporting fraud detection and operational improvement initiatives through advanced analytics techniques.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze financial and operational data to identify trends, anomalies, and irregularities.
 </li>
 <li>
 Develop dashboards and reports using Excel, SQL, and Power BI to support data-driven decision-making.
 </li>
 <li>
 Perform data validation, cleansing, and quality checks to ensure accuracy and reliability of information.
 </li>
 <li>
 Conduct analytical reviews of transactions, system logs, and operational records.
 </li>
 <li>
 Support investigations and internal audit activities through data analysis and reporting.
 </li>
 <li>
 Monitor data patterns and provide insights related to operational risks and control gaps.
 </li>
 <li>
 Collaborate with Internal Audit, IT, Finance, HR, and Operations teams to gather and validate data.
 </li>
 <li>
 Prepare structured analytical reports and presentations for management review.
 </li>
 <li>
 Support automation and continuous monitoring initiatives to improve reporting efficiency.
 </li>
 <li>
 Ensure compliance with data confidentiality, governance, and information security requirements.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Information Technology, Computer Science, Accounting, Business Analytics, or related field.
 </li>
 <li>
 3&ndash;5 years of experience in data analysis, business intelligence, reporting, or analytics-related roles.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong proficiency in Excel, SQL, and Power BI.
 </li>
 <li>
 Knowledge of data visualization, reporting tools, and data analytics techniques.
 </li>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to interpret complex datasets and provide actionable insights.
 </li>
 <li>
 Experience in internal audit, risk, or fraud analytics is an advantage.
 </li>
 <li>
 Strong communication and reporting skills.
 </li>
 </ul>
 
 
</div>

Data Analyst

Hermès

<div>
 
 Job Title: D
 
 
 ata analyst
 
 
 
 
 REPORTS TO: SENIOR RETAIL EXCELLENCE MANAGER
 
 
 
 
 Location: DUBAI
 
 
 
 
 Organisation unit: Hermes middle east
 
 
 
 
 GENERAL MISSION
 
 
 
 Herm&egrave;s is looking for a Data Analyst to strengthen its understanding of both clients and business dynamics across our 6 stores in the Middle East region. The role combines customer‑centric analyses with deep business performance insights to support teams in elevating service, client experience, and retail excellence. By ensuring high data quality and transforming complex information into actionable recommendations, the Data Analyst will help the Maison make informed decisions that advance both customer knowledge and operational performance.
 
 
 
 Responsibilities
 
 
 
 
 Dashboards creation &amp; maintaining
 
 
 
 <ul>
 <li>
 Design and produce dashboards/reports to provide in-depth analysis of business performance and clients&rsquo; behaviour (e.g. client journey, spending patterns)
 </li>
 <li>
 Collaborate with Group and Europe Data Analytics Team to enrich the current dashboards with more insights
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data presented in all dashboards and reports, implementing robust data validation processes.
 </li>
 <li>
 Proactively gather and translate evolving business requirements from various stakeholders into actionable specifications for new dashboard development and enhancements
 
 
 </li>
 </ul>
 
 CUSTOMER DATA QUALITY
 
 
 
 <ul>
 <li>
 Improve the customer database quality and animate the retail teams to share best practices in Customer data capture
 </li>
 <li>
 Ensure regular monitoring of the customer database by developing dedicated analyses and Reports
 </li>
 <li>
 Support and deploy Group projects locally, adapting to specific market needs
 </li>
 <li>
 Develop assets to train sales teams on customer data management
 
 
 </li>
 </ul>
 
 Customer Knowledge
 
 
 
 <ul>
 <li>
 Be responsible of customer knowledge for the subsidiary by sharing retail and customer orientated insights
 </li>
 <li>
 Analyse customer patterns and retail performances to support strategic decisions
 </li>
 <li>
 Proactively monitor and identify emerging client behaviors, market trends, and competitive landscapes to anticipate future opportunities and challenges
 </li>
 <li>
 Support customer targeting initiatives with CRM analyses and provide detailed customer profile analyses
 </li>
 <li>
 Accompany group analytics initiatives, such as customer segmentation, and animate them across the subsidiary
 </li>
 <li>
 Perform ad-hoc analysis to answer specific business questions or deepen understanding of behavior or trends that are not available in existing automated dashboards
 
 
 </li>
 </ul>
 
 Retail excellence &amp; Business performance
 
 
 
 <ul>
 <li>
 Analyse on a regular basis (e.g. weekly, monthly) the retail performance and key KPIs (e.g. sales, sales per metiers, traffic, conversion rate, UPT, average basket)
 </li>
 <li>
 Propose recommendations and build action plans
 </li>
 <li>
 Ensure harmonization and alignment of performance indicators across teams and stores, aligned with the Group
 </li>
 <li>
 Contribute to the preparation of business reviews, strategic committees, and management presentations, providing clear and data-backed narratives
 
 
 </li>
 </ul>
 
 Experience &amp; Requirements
 
 
 
 <ul>
 <li>
 Master's degree (Bac +5) in Engineering or in Science / Data Analysis / Computer Science, and a minimum of 3 to 5 years&rsquo; experience in a similar role
 </li>
 <li>
 Confirmed background in statistical methodologies and social behaviour analysis
 </li>
 <li>
 Proficiency in programming languages (SQL, Python, etc.) and BI and visualization tools (Power BI and/or Cognos IBM)
 </li>
 <li>
 Proficient in data analysis and reporting
 </li>
 <li>
 Ability to analyse and synthesize
 </li>
 <li>
 Customer and business orientated mindset
 </li>
 <li>
 Curiosity and adaptability
 </li>
 <li>
 Discretion and confidentiality
 </li>
 <li>
 Team spirit
 </li>
 <li>
 Fluent preferably in multiple languages with spoken and written English mandatory. Arabic &amp; French are a plus.
 </li>
 </ul>
</div>

Retail Data Analyst

PaymentGenes

<div>DubaiPermanentAnalysisPosted 29/05/2026</div>
 <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. 
 
Required Experience:
<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>
 
Required Skills &amp; Competencies:
<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>
 
Nice-to-have/Preferred:
<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>
 
Benefits-
<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

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose 
</h5> Emirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai. There are a number of key roles within our Skywards Group that are essential to the success of this this programme. From product design, e-commerce and analytics, through to business development, strategic partnerships and member engagement our Skywards team is filled with exciting opportunities! 
The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach. Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department. They will engage with relevant enterprise analytics, marketing &amp; internal teams to develop data products. 
 
 
 
In this role, you will:
<ul><li>Work with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement. Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.
</li><li>Build automated dashboards, reports and scorecards for self-service use across the department. Train and support teams in understanding and utilizing the reports to make data-backed decisions.
</li><li>Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes. Continuously improve the business data science models, creating industry-leading performance through the leveraging of new and creative data-sources, and employing the latest in machine learning within the department.
</li><li>Responsible for analysing overall performance of data-driven initiatives across the department, service ad-hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.
</li><li>Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub &amp; CRIS Warehouse.
</li><li>Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.
</li><li>Validate, interpret, and create reports, dashboard &amp; presentations for departmental heads/management, and relevant stakeholders.
</li><li>Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.
</li><li>Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the following requiremtents:
<ul><li>Experience in the execution of data analytics initiatives, leading to the development of useful insights and the improvement of a business performance and driving top-line growth
</li><li>Working experience in Loyalty or Commercial
</li><li>Experience in Technical expertise regarding data models, big data, customer/loyalty analysis, CRM database analysis, data mining and segmentation techniques
</li><li>Working experience in data science models
</li><li>Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
</li><li>Ability to transform data to insights.
</li><li>Ability to organize well, work under pressure and juggle multiple requests.
</li>Knowledge of advanced technologies such as Snowflake, Data IKU, Helix, Python, R, SQL etc. 
<li>
</li> </ul>At Emirates, we&rsquo;re committed to helping our people grow and thrive. If you're ready for a rewarding and challenging career, apply today and become part of our world-class team. 
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5><ul><li>- 
</li></ul> <div>Join us in Dubai and enjoy attractive salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. You can find out more information about our employee benefits in the Working Here section of our website 
<div>emiratesgroupc 
</div> areers.com
 . Further information on what it's like to live and work in our cosmopolitan home city, can be found in the Dubai Lifestyle section.</div></div>

Skywards Data Analyst

CSi - LANDMARK GROUP

<div>
 
 
 CSi
 
 is a
 
 new, integrated business unit under Landmark Group
 
 , bringing together the most critical growth-driving capabilities into one unified engine. We are building the next phase of our growth&mdash;and at the center of it is a newly launched strategic division:
 
 CSi &ndash; Customer, Strategy &amp; Intelligence.
 
 This isn&rsquo;t just another team. This is
 
 where customer, data, product, and AI come together to shape the future of retail.
 
 It combines:
 
 <ul>
 <li>
 Data &amp; Analytics
 </li>
 <li>
 Loyalty (Shukran)
 </li>
 <li>
 Partnerships &amp; Co-brands
 </li>
 <li>
 Performance &amp; Digital Marketing
 </li>
 <li>
 Customer Product &amp; Martech
 </li>
 </ul>
 
 
 
 
 
 CSi stands for
 
 
 <ul>
 <li>
 
 C &ndash; Customer (CX)
 
 &rarr; Building seamless, end-to-end customer journeys
 </li>
 <li>
 
 S &ndash; Strategy &amp; Analytics
 
 &rarr; Driving smarter business decisions through data
 </li>
 <li>
 
 i &ndash; Intelligence (AI + BI)
 
 &rarr; Powering everything with AI-led insights
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Own end-to-end analytics for ecommerce performance and performance marketing channels (Paid Search, Paid Social, Display, Affiliates, CRM)
 </li>
 <li>
 Analyze traffic, conversion, revenue, and customer behavior across channels (paid, organic, direct, CRM)
 </li>
 <li>
 Track and optimize campaign performance across platforms (Google Ads, Meta, DV360, etc.) with a focus on ROI and scalability
 </li>
 <li>
 Build and monitor core KPIs such as CAC, ROAS, LTV, conversion rate, retention, and funnel drop-offs
 </li>
 <li>
 Drive budget allocation and reallocation decisions based on performance insights and marginal ROI analysis
 </li>
 <li>
 Develop dashboards and automated reporting solutions using tools like Power BI / Tableau
 </li>
 <li>
 Work closely with marketing teams to improve campaign targeting, creatives, bidding strategies, and audience segmentation
 </li>
 <li>
 Perform cohort analysis, attribution modeling (last-click, multi-touch), and customer segmentation (RFM, behavioral, etc.)
 </li>
 <li>
 Evaluate channel contribution, incrementality, and campaign lift through structured measurement frameworks
 </li>
 <li>
 Identify growth opportunities through deep-dive analysis on campaigns, products, and customer journeys
 </li>
 <li>
 Build predictive models for demand forecasting, churn prediction, and campaign effectiveness
 </li>
 <li>
 Integrate data from multiple sources (GA4, CRM tools, ad platforms, data warehouses)
 </li>
 <li>
 Translate complex data into actionable business insights for leadership
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 6&ndash;7 years of experience in ecommerce analytics / performance marketing analytics
 </li>
 <li>
 Strong expertise in SQL and handling Databricks (BigQuery / similar preferred)
 </li>
 <li>
 Hands-on experience with Power BI (or similar BI tools)
 </li>
 <li>
 Strong understanding of performance marketing metrics (CAC, ROAS, CPC, CPM, CTR) and bidding strategies
 </li>
 <li>
 Experience working with ad platforms (Google Ads, Meta Ads, etc.), GA4, and CRM/campaign tools
 </li>
 <li>
 Solid understanding of attribution models and marketing measurement frameworks
 </li>
 <li>
 Strong analytical thinking with ability to connect data to business impact
 </li>
 <li>
 Exposure to Python / predictive modeling is a strong plus
 </li>
 <li>
 Ability to work cross-functionally with marketing, product, and tech teams
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience in retail / ecommerce environments
 </li>
 <li>
 Knowledge of customer lifecycle and loyalty analytics
 </li>
 <li>
 Familiarity with experimentation (A/B testing frameworks, incrementality testing)
 </li>
 <li>
 Exposure to CDPs or marketing automation tools
 </li>
 <li>
 Experience with marketing mix modeling (MMM) or advanced attribution is a plus
 </li>
 </ul>
 
 
 
 
 
 Why join CSi?
 
 
 
 This is where your role becomes bigger than just a job. You&rsquo;ll get to:
 
 <ul>
 <li>
 Work at the intersection of
 
 Product, Data, AI, and Customer Experience
 
 </li>
 <li>
 Build solutions that impact
 
 millions of customers across multiple brands
 
 </li>
 <li>
 Be part of a
 
 high-ownership, high-visibility team
 
 </li>
 <li>
 Solve real business problems&mdash;not just execute tasks
 </li>
 <li>
 Shape how
 
 modern retail operates in the region
 
 </li>
 </ul>
 
 
 
 
 
 Who should apply?
 
 
 
 If you are someone who:
 
 <ul>
 <li>
 Thinks
 
 customer-first
 
 </li>
 <li>
 Loves solving problems using
 
 data and technology
 
 </li>
 <li>
 Wants to work on
 
 AI, Martech, Product, or Analytics
 
 </li>
 <li>
 Enjoys working in a
 
 fast-paced, high-impact environment
 
 </li>
 </ul>
 
 
 CSi is where you should be.
 
 
 
 
 
 
 We&rsquo;re not just hiring for roles. We&rsquo;re building the
 
 future of customer intelligence at scale.
 
 
 
 If you want to be part of something that is
 
 strategic, visible, and truly impactful&mdash;this is your moment.
 
 
</div>

Aradi

<div>
 
 
 About Aradi
 
 
 
 Aradi puts everything you need to know about a city onto one smart map.
 
 
 
 
 
 Usually, finding out who owns a building, what the building rules are, or how much a piece
 
 
 of land is worth takes weeks. People have to search through dozens of different government
 
 
 websites or pay expensive experts. Aradi changes that. We bring all that data together like
 
 
 official property sales, rental contracts, and local rules into one simple platform.
 
 
 
 
 
 We also show how everything in a city connects. For example, our tools help users see how
 
 
 a new metro station or school changes property values nearby. At the center of it all is Aradi
 
 
 AI, a smart assistant that reads through millions of data points and turns them into clear
 
 
 answers.
 
 
 
 
 
 Our customers like property developers, banks, and big investors use Aradi to check prices, estimate rental income, and do research in minutes instead of weeks.
 
 
 
 
 
 
 Role Description
 
 
 
 Everything Aradi does starts with data.
 
 
 
 
 
 This role helps build and maintain the foundation behind the platform.
 
 
 
 
 
 You'll collect, organise, verify, and analyse real estate data from across the UAE Some days
 
 
 you'll be researching transactions, developments, and market activity. Other days you'll be
 
 
 out in the field visiting projects, attending events, and gathering information that doesn't
 
 
 exist online.
 
 
 
 
 
 You'll work closely with product, engineering, and leadership teams to ensure our data stays
 
 
 accurate, reliable, and useful.
 
 
 
 
 
 It's a hands-on role with exposure to both real estate and technology from day one.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Collect, validate, and structure real estate market data from a wide range of sources.
 </li>
 <li>
 Maintain the quality, accuracy, and consistency of datasets across the platform.
 </li>
 <li>
 Conduct market research on projects, developers, transactions, rents, and land sales.
 </li>
 <li>
 Visit sites and developments across the UAE to gather on-the-ground intelligence.
 </li>
 <li>
 Attend industry events and build relationships with market participants.
 </li>
 <li>
 Identify gaps in our data coverage and help close them.
 </li>
 <li>
 Create reports, summaries, and insights that support product development and customer needs.
 </li>
 <li>
 Work closely with product and engineering teams to improve data workflows.
 </li>
 <li>
 Support the ongoing expansion of Aradi's market coverage and datasets.
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 A degree in data science, business, economics, real estate, geography, engineering, or a related field.
 </li>
 <li>
 Strong Excel skills and comfort working with large datasets.
 </li>
 <li>
 High attention to detail and a commitment to data quality.
 </li>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and non-technical audiences.
 </li>
 <li>
 A proactive mindset and willingness to investigate problems independently.
 </li>
 <li>
 Interest in real estate, cities, infrastructure, and market dynamics.
 </li>
 <li>
 Willingness to travel across Dubai and the UAE when required.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with SQL, Python, Power BI, Tableau, or GIS tools.
 </li>
 <li>
 Exposure to UAE or MENA real estate markets.
 </li>
 <li>
 Experience sourcing or cleaning large datasets.
 </li>
 <li>
 Knowledge of property transactions, development projects, or valuation concepts.
 </li>
 <li>
 Existing network within the UAE real estate sector.
 </li>
 </ul>
 
 
 
 
 
 Why You'll Love It Here
 
 
 <ul>
 <li>
 High ownership at a company where great work directly drives growth.
 </li>
 <li>
 Your ideas ship and your impact is visible.
 </li>
 <li>
 A small team moving fast toward profitability.
 </li>
 <li>
 Real work, not busywork.
 </li>
 <li>
 Use of AI tools at work, and the space to grow with them.
 </li>
 </ul>
 
 
 
</div>

Junior Data Analyst

Publicis Groupe Middle East

<div>
 
 Overview
 
 
 
 
 Data, Reporting &amp; Infrastructure
 
 
 
 <ul>
 <li>
 Own and maintain all data pipelines supporting paid media reporting and analytics, ensuring reliability, scalability, and accuracy.
 </li>
 <li>
 Manage and validate data integrations via APIs across media platforms, analytics tools, and visualization environments.
 </li>
 <li>
 Oversee dashboard development and maintenance, ensuring client-facing visualizations are fully accurate, up to date, and aligned with agreed KPIs.
 </li>
 <li>
 Act as the primary quality-control owner for all data outputs, proactively identifying and resolving discrepancies or errors.
 </li>
 <li>
 Work closely with activation and ad operations teams to ensure correct backend trafficking, tagging, and tracking implementation across all campaigns.
 
 
 </li>
 </ul>
 
 Planning &amp; Performance Reporting Management
 
 
 
 <ul>
 <li>
 Own and manage the client&rsquo;s Annual Media Planning Document, which includes yearly KPIs which is monitored and reported monthly to the client.
 </li>
 <li>
 Ensure KPIs are consistently reflected across planning documents, dashboards, and performance reports.
 </li>
 <li>
 Maintain historical performance benchmarks and ensure year-on-year comparability.
 
 
 </li>
 </ul>
 
 First-Party Data &amp; CDP Enablement
 
 
 
 <ul>
 <li>
 Act as support for the client&rsquo;s Customer Data Platform (CDP), ensuring first-party data is effectively leveraged across paid media.
 </li>
 <li>
 Support the activation, measurement, and optimization of first-party and audience-based media strategies.
 </li>
 <li>
 Translate complex first-party data outputs into actionable insights for planners and client stakeholders.
 </li>
 <li>
 Ensure data governance, consistency, and best practices are upheld when using customer data in paid media environments.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 
 Technical &amp; Product
 
 
 
 <ul>
 <li>
 Strong, hands-on understanding of paid media platforms and ecosystems.
 </li>
 <li>
 Proven experience working with:
 </li>
 <ul>
 <li>
 APIs and data integrations
 </li>
 <li>
 Data pipelines
 </li>
 <li>
 Visualization tools and dashboards
 </li>
 <li>
 Trafficking, tagging, and tracking frameworks
 </li>
 </ul>
 <li>
 Advanced, professional-level Excel skills (complex formulas, pivots, data validation, large datasets).
 
 </li>
 </ul>
 
 Client &amp; Internal Collaboration
 
 
 
 <ul>
 <li>
 Act as a trusted analytics partner to client stakeholders, confidently explaining data methodologies, KPIs, and performance trends.
 </li>
 <li>
 Collaborate closely with planning, activation, technology, and data teams to ensure seamless end-to-end delivery.
 </li>
 <li>
 Support senior leadership with analytical inputs for client presentations, reviews, and strategic discussions.
 </li>
 <li>
 Help establish and evolve analytics best practices within the planning team.
 </li>
 <li>
 Exceptional attention to detail with a track record of delivering accurate, error-free outputs.
 </li>
 <li>
 Strong communication skills, with the ability to translate data into clear insights for non-technical stakeholders and working collaborative within larger teams.
 
 
 </li>
 </ul>
 
 Innovative &amp; Analytical Mindset
 
 
 
 <ul>
 <li>
 Highly detail-oriented and methodical
 </li>
 <li>
 Passionate about data and continuous improvement
 </li>
 <li>
 Proactive problem-solver with strong ownership mindset
 </li>
 <li>
 Comfortable working in fast-paced, deadline-driven environments
 </li>
 <li>
 Collaborative and client-focused
 
 
 </li>
 </ul>
 
 People &amp; Leadership
 
 
 
 <ul>
 <li>
 Seeks others' feedback to develop self-awareness, strengths and address development area.
 </li>
 <li>
 Is able to proactively raise issues to improve effective team working and collaboration.
 </li>
 <li>
 Is able to communicate confidently in a clear, concise and articulate manner.
 </li>
 <li>
 Collaborates with stakeholders and embraces an inclusive based environment.
 </li>
 <li>
 Is able to make valuable contributions to discussions and brainstorming sessions, providing insight and point of view.
 </li>
 <li>
 Able to build relationships quickly with others and engages personally with peers and clients.
 </li>
 <li>
 Treats others with respect, listens to other perspectives, especially when they are different from own.
 </li>
 <li>
 Able to tackle problems in a timely manner and develop contingency plans that focus on problem resolution.
 </li>
 <li>
 Drives a culture of trust with Peers, clients and all other stakeholders.
 
 
 </li>
 </ul>
 
 Self
 
 
 
 <ul>
 <li>
 Is able to take ownership for actions and deals with consequences in a mature manner.
 </li>
 <li>
 Able to adjust performance based on experiences and feedback and showcases agility and flexibility.
 </li>
 <li>
 Displays openness to the ideas of others and leverages them when beneficial for the business.
 </li>
 <li>
 Showcases curiosity and open mindset towards new ways of doing things.
 </li>
 <li>
 Is able to set high impact objectives and goes above and beyond to exceed performance.
 </li>
 <li>
 Demonstrates the Growth Mindset and is able to take ownership of personal development and growth.
 </li>
 <li>
 Capable of constructively challenging the status-quo and takes risks to challenge internal and external perspectives.
 </li>
 <li>
 Approaches situations and individuals with honesty, integrity and humbleness.
 </li>
 <li>
 Displays resilience and maintains drives and a positive outlook when faced with challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in media analytics, marketing analytics, or performance measurement, ideally within a media agency or complex client environment.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 R-3862P-4387
</div>

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