advanced analytics associate

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Senior Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
<br>
<br>
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
<p></p><h1 class="jobSectionHeader"><b>Role Overview:
</b></h1><p>We are looking for a highly motivated and technically proficient Data and Analytics Senior Associate to support the design and development of innovative technical solutions in the people domain. The ideal candidate will possess strong analytical skills, a solid foundation in data technologies, and a passion for leveraging data to drive business insights and performance.
</p><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities:
</b></h2><ul><li>Design, develop, and implement data and analytics solutions to meet business needs.
</li><li>Create and maintain dashboards and reports using Power BI.
</li><li>Apply machine learning, AI, and generative models to solve complex business problems.
</li><li>Perform data interrogation and transformation using tools such as SQL and Python.
</li><li>Collaborate with cross-functional teams to gather requirements and deliver actionable insights.
</li><li>Ensure data quality, governance, and compliance with internal standards.
</li><li>Communicate findings and recommendations effectively to stakeholders.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications and Experience:
</b></h2><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Business Analytics, Data Science, Computer Science, or a related field.
</li><li>Technical proficiency (at least 2 years of hands-on experience) with Alteryx and Power BI.
</li><li>Strong knowledge of and/or basic proficiency in other technologies, including but not limited to Python, SQL, Microsoft Azure, Microsoft Power Apps, other machine learning, AI, generative models, data pipelines and analytics platforms.
</li><li>Experience in designing and developing technical solutions in the data and analytics area.
</li><li>Excellent analytical, problem-solving, and communication skills, both written and verbal (in English).
</li><li>Flexibility to work across time zones and support global clients.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Qualifications:
</b></h2><ul><li>MSc in a relevant field.
</li><li>Familiarity with cloud platforms such as Azure, AWS, or GCP.
</li><li>Experience working in a collaborative, fast-paced environment.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Soft Skills:
</b></h2><ul><li>Strong communication and interpersonal skills.
</li><li>Ability to work independently and collaboratively as part of a team.
</li><li>Excellent time management and organizational skills.
</li><li>Problem-solving mindset with attention to detail.
</li><li>Eagerness to innovate and learn new technologies, failing fast and learning from mistakes.
</li><li>Adaptability and resilience in a fast-paced environment.
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 39 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data & Analytics Senior Associate

Pfizer

<div><div>Use Your Power for Purpose</div><div>
The Global Commercial Analytics (GCA) team within the organization is dedicated to transforming data into actionable intelligence, enabling the business to remain competitive and innovative in a data-driven world.</div><div>
As Senior Associate, Analytics Developer, you will play a pivotal, hands-on role creating the data solutions that fuel our most advanced AI and analytics applications. By collaborating closely with subject matter experts and data scientists, you will develop the robust data models, pipelines, and feature stores required to power everything from statistical analysis to complex AI and machine learning models.</div><div></div><div>
Your primary mission is to build the data foundation for high-impact projects such as ROI analysis, Field Force sizing, On demand analytics, Data Strategy.</div><div>
You will be central to delivering new, innovative capabilities by enabling the deployment of cutting-edge AI and machine learning algorithms, directly helping the business solve its most challenging problems and create value.</div><div>
This is a dynamic, fast-paced, and highly collaborative role, covering a broad range of strategic topics critical to the pharma business.</div><div></div><div>
What You Will Achieve</div><ul><li><div>
Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools.</div></li><li><div>
Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks.</div></li><li><div>
Building AI &amp; RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain.</div></li><li><div>
Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights.</div></li><li><div>
Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy.</div></li><li><div>
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines.</div></li><li><div>
Quality &amp; Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions.</div></li></ul><div></div><div>
Here Is What You Need (Minimum Requirements)</div><ul><li><div>
Bachelor&rsquo;s, Master&rsquo;s in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field.</div></li><li><div>
3-5 years of experience in Data or Analytics Engineering.</div></li><li><div>
Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy.</div></li><li><div>
Modern Data Stack &amp; Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake.</div></li><li><div>
Data Modeling &amp; Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases.</div></li><li><div>
Data Quality &amp; Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting.</div></li><li><div>
Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes.</div></li></ul><div></div><div>
Bonus Points If You Have (Preferred Requirements)</div><ul><li><div>
Pharma Analytics: Experience with pharmaceutical data and a track record of delivering business impact in the commercial pharma sector.</div></li><li><div>
Data Engineering Best Practices: Experience with performance tuning, cost optimization, and managing large-scale data infrastructure.</div></li><li><div>
Dashboard Development: Experience building dashboards using tools like Tableau, Power BI, or Streamlit.</div></li><li><div>
Business Communication: The ability to explain data limitations and how they affect business questions to non-technical audiences.</div></li></ul><div><br>
<br>
Work Location Assignment: Hybrid</div><div></div><div>
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.</div><div></div>
Marketing and Market Research</div><div></div>

Senior Associate, Analytics Developer

Morgan Stanley

<div><p>We are seeking a dynamic, innovation-driven Associate to join our GSS Data &amp; Analytics Innovation Team. This role combines expertise in Power BI dashboard development, Snowflake data engineering, and Data Science/AI modeling to deliver advanced analytics solutions that drive strategic decision-making across global initiatives.
</p><p></p><p>In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is an Associate level position within the Business Unit Management, which performs business management/CAO functions such as headcount management, financials, people processes, executive communications, and strategic support<br>
</p><p><br>
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
<br>
<br>
<b>What you'll do in the role:
</b></p><ul><li><p>Dashboard Development (Power BI): Design, build, and maintain advanced Power BI dashboards for sourcing analytics, GSS reporting, and executive insights
</p></li><li><p>Translate business requirements into intuitive, interactive visualizations and optimize performance using best practices in DAX, Power Query, and data modeling
</p></li><li><p>Data Engineering &amp; Architecture (Snowflake): Develop and optimize Snowflake SQL queries, views, and stored procedures to support large-scale analytics and reporting needs Design and operationalize cross-system data flows and distributed applications for analytics and AI/ML initiatives
</p></li><li><p>Predictive Modeling &amp; AI/ML: Build and deploy predictive models for sourcing forecasts, supplier risk scoring, and spend optimization using Python and ML frameworks (e.g., scikit-learn, TensorFlow, Snowflake Cortex)
</p></li><li><p>Enable AI-driven data enrichment and GenAI capabilities to enhance user experience and decision-making
</p></li><li><p>Automation &amp; Cloud Enablement: Contribute to automation of recurring workflows and support migration to cloud-native ETL platforms for improved scalability and efficiency
</p></li><li><p>Collaboration &amp; Stakeholder Engagement: Partner with global business stakeholders to gather requirements, refine objectives, and deliver actionable insights
</p></li><li><p>Participate in GSS strategy change projects, bringing data-driven insights and visualization capabilities to transformation efforts
</p></li><li><p>Innovation &amp; Continuous Improvement: Identify opportunities to streamline processes, enhance analytics capabilities, and explore new data sources and domains
</p></li><li><p>Contribute to metadata management, data modeling, and documentation to ensure robust governance and transparency
</p></li></ul><p></p><p><b>What you'll bring to the role:
</b></p><ul><li><p>3-6 years of experience in data analytics, dashboard development, and predictive modeling in a professional setting
</p></li><li><p>Bachelor's or master's degree in computer science, Data Analytics, Information Systems, or a related field
</p></li><li><p>Proven ability to analyze and synthesize large datasets from diverse sources, including SQL and Snowflake
</p></li><li><p>Strong proficiency in Power BI, with hands-on experience building scalable, interactive dashboards and applying best practices in DAX and data modeling
</p></li><li><p>Solid working knowledge of Python for automation, data processing, and enabling AI/ML workflows
</p></li><li><p>Familiarity with AI/ML concepts and frameworks (e.g., scikit-learn, TensorFlow, Snowflake Cortex) for predictive analytics and intelligent reporting
</p></li><li><p>Experience with ETL platforms and data integration tools (e.g., Dataiku, Lightning, Alteryx) is a plus
</p></li><li><p>Understanding of cloud-based data architecture, distributed systems, and data governance principles
</p></li><li><p>Ability to work independently in a dynamic, fast-paced environment, managing multiple global initiatives effectively
</p></li><li><p>Excellent collaboration and communication skills, with the ability to engage stakeholders across global regions.
</p></li><li><p>Proficiency in Microsoft Office tools, especially Excel (pivot tables, slicers, formulas), PowerPoint, and Word
</p></li></ul><p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
</p><p></p><p>Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</p></div><p></p>

Data & Analytics Innovation, Associate, Business Unit Management

Glow Beauty On Demand

<br>Job Title<br>Applied Data Science Associate - AI and Machine Learning Training Dubai<br>Job Description<br>Applied Data Science Associate - AI and Machine Learning Training Dubai<br> <br>Role Summary<br>DataRobot is offering a unique opportunity for aspiring data professionals in Dubai to join our Applied Data Science Associate program. This full-time, paid training experience is designed for those with technical backgrounds who are eager to launch or advance a career in AI. Over six months, you ll work alongside leading experts, learn to use our powerful AI platform, and gain hands-on experience delivering real-world impact for global clients. Arabic and English fluency is required, and you must be based in the Dubai area.<br> <br>Employment Overview<br> <br>* Job Location: Dubai, UAE<br>* Industry: Information Technology and Services<br>* Function: Data Science / Analytics<br>* Gender: Any<br>* Candidate Nationality: Any<br>* Candidate Current Location: Dubai, UAE (Required)<br>* Job Type: Full-time<br> <br>What You ll Do<br> <br>* Participate in an intensive 6-month development program built around customer-facing data science skills<br>* Master core AI techniques: classification, regression, time series, anomaly detection<br>* Learn to wrangle and analyze data using Python, R, and other tools<br>* Become a platform expert across DataRobot's GUI and API clients<br>* Consult with customers from data scientists to executives on real use cases and value-driving strategies<br>* Translate complex data science into practical business outcomes<br>* Collaborate with sales, consulting, and engineering teams on enterprise AI delivery<br>* Gain direct exposure to the most advanced generative and predictive AI applications in the market<br> <br>Ideal Profile<br> <br>* Bachelor's or graduate degree in a technical field (e.g., computer science, engineering, physics)<br>* Alternatively, at least 3 years in a technical product or data-related role<br>* Fluency in Arabic and English (spoken and written)<br>* Passion for AI, machine learning, and solving business problems with data<br>* Self-driven, curious, and open to learning from experts in the field<br>* Strong communication skills and ability to build trusted relationships with clients<br>* Currently residing in Dubai or the surrounding area<br> <br>Why Join Us<br> <br>* Fast-track career growth with structured, high-impact mentorship<br>* Learn directly from top AI scientists and practitioners<br>* Full-time role with competitive salary and comprehensive benefits<br>* Pathway to a Data Science Associate position upon program completion<br>* Inclusive and innovative workplace that celebrates diverse talent<br>* Join a global AI leader helping enterprises realize value through responsible, scalable AI<br> <br><br>

Applied Data Science Associate

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We offer an exciting opportunity to advance your analytics career by shaping impactful reporting solutions for our business.</p><p>
</p><p>As a Quant Analytics Associate Senior in the Marketing Growth &amp; Innovation Monitoring &amp; Solutions team, you will build automated reports and dashboards that support business outcomes and control
</p><p>objectives. You will collaborate with stakeholders to analyze processes, source data, and deliver solutions that align with regulatory and strategic requirements.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Understand business processes and gather reporting requirements</li><li>
Review and prioritize requests for new or enhanced reports</li><li>
Research, evaluate, and recommend technical solutions</li><li>
Develop automated reports and Tableau dashboards</li><li>
Aggregate and analyze large datasets from multiple sources</li><li>
Identify data relationships and define criteria for non-compliant accounts</li><li>
Collaborate with stakeholders to align accounts with requirements</li></ul><p>
</p><p></p><p><b>Required qualifications, capabilities and skills</b></p><ul><li>
Bachelor&rsquo;s degree</li><li>
Four years of report development experience</li><li>
Experience in data analytics utilizing advanced SQL on enterprise database platforms such as Teradata, Snowflake, or Oracle</li><li>
Experience with SAS Viya for report automation</li><li>
Experience with Tableau and Alteryx for dashboard development and process automation</li><li>
Proficiency with Microsoft Office applications including Access, Excel, PowerPoint, Word, and Visio for data analysis and documentation</li><li>
Ability to maintain a strong controls environment for a stable, secure reporting platform</li></ul><p>
</p><p><b>Preferred qualifications, capabilities and skills</b></p><ul><li>
Proficient in ETL tools such as Alteryx and BI reporting tools such as Tableau</li><li>
Strong collaborator across all organizational levels</li><li>
Ability to independently tackle complex tasks and meet timelines</li><li>
Effective communicator of development progress in writing and verbally</li></ul><p>
</p><p></p><b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div><br>
<br>
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Quant Analytics Associate Senior - Card Marketing Growth Innovation

<div><p>We're seeking someone to join our team, GSS (Global Supplier Services)Data &amp; Analytics to support a centralized, evolving data governance function across critical systems as well as to manage critical processes related to data quality management within our organization. This position will require a strong attention to detail, ability to understand relational datasets across various systems, ability to multitask, and an understanding of the third-party source to pay processes. This candidate is expected to oversee multiple critical processes within a fast paced and deadline driven environment, as well as to propose innovation within their role where opportunity exists.
<br>
<br>
In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is an Associate level position within the Business Unit Management, which performs business management/CAO functions such as headcount management, financials, people processes, executive communications, and strategic support<br>
</p><p><br>
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
<br>
<br>
<b>What you'll do in the role:
</b></p><ul><li>Manage multiple critical processes relating to data connectivity and cataloguing
</li><li>Turn business requirements into strategic process-oriented solutions that streamline and/or transform processes / process improvement
</li><li>Develop and optimize Snowflake SQL queries, views, and stored procedures to support large-scale analytics and reporting needs
</li><li>Design, build, and maintain advanced Power BI dashboards for sourcing analytics, GSS reporting, and executive insights
</li><li>Become a subject matter expert on the data model/structure to perform meaningful analysis and apply it to business needs
</li><li>Work with end users for any ad hoc requests or requirements related to data quality analyses or metrics
</li><li>Monitor a healthy pipeline of deliverables to ensure they are correctly prioritized and completed on time
</li><li>Leverage technology-based skillset and business acumen to find and create efficiencies while delivering effective reporting &amp; analytics
</li></ul><br>
<b>What you'll bring to the role:
</b><ul><li>3+ years' experience in a professional setting with a strong focus on reporting and data analytics
</li><li>Experience with complex process management front-to-back including strategic enhancements to BAU processes
</li><li>Experience of collecting, analyzing, and governing critical attributes within a relational database environment to ensure data quality
</li><li>Advanced Microsoft Office Skills; PowerPoint, Word, Access, and Excel (complex formulas, pivot tables, slicers, data connections, etc.)
</li><li>Ability to analyze large datasets using MS excel, SQL, or comparable
</li><li>Strong stakeholder management skills, with experience coordinating across business and technical teams
</li><li>Demonstrated ability to design and deliver effective training and enablement programs
</li><li>Excellent communication, facilitation, and presentation skills
</li><li>Experience with data warehousing concepts, cloud platforms (preferably Snowflake), and legacy systems (IBM DB2 a plus)
</li><li>Familiarity with risk management, compliance, and governance in data-driven environments
</li><li>Ability to work independently and collaboratively in a fast-paced, evolving environment
</li><li>Preferred: experience in a related field; source-to-pay (Ariba, Coupa, etc.), sourcing, procurement, accounts payable, expense management, and/or third-party relationships.
</li></ul><ul><li>Proven track record of managing large datasets or acting as a central data governance steward, understanding data quality / data cataloguing and associated tooling<br>
</li></ul><br>
<p></p><p><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
</b></p><p></p><p>We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
</p><p></p><p>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
</p><p></p><p>Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</p></div><p></p>

Data & Analytics, Associate, Business Unit Management

Property Finder

<div>
 Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region&rsquo;s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.
 <br/>
 <br/>
 Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.
 <br/>
 <br/>
 <strong>
  Overview:
  <br/>
  <br/>
 </strong>
 Within the Strategy &amp; Analytics team, Property Finder is looking for a strong Marketing Analytics Associate who will be primarily responsible for translating data into actionable insights, helping Marketing team of the company make informed decisions. You would work with an exceptional group of ex consultants from McKinsey, Bain, BCG and the Big 4.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with B2B Marketing, Commercial, and Unpaid Media teams (Social, Content, PR) to identify opportunities for marketing improvement and new promotional strategies.
  </li>
  <li>
   Develop and enhance multi-touch attribution models (e.g., first touch, last touch) for leads from multiple sources.
  </li>
  <li>
   Run detailed analyses to measure marketing efficiency, ROI, and campaign performance, identifying actionable improvement areas.
  </li>
  <li>
   Create compelling presentations for senior audiences, presenting data-driven insights with clear storylines.
  </li>
  <li>
   Collaborate across marketing, sales, and product teams to align strategies and drive business impact.
  </li>
  <li>
   Take end-to-end ownership of workstreams to deliver business insights and support strategic initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years&rsquo; experience in Business Analytics within a tech company or top-tier consulting firm.
  </li>
  <li>
   Strong proficiency in SQL and data visualization tools (Tableau or similar).
  </li>
  <li>
   Hands-on experience with marketing analytics tools (e.g., Google Analytics, Mixpanel, WebEngage) and platforms like Salesforce or BigQuery.
  </li>
  <li>
   Solid problem-solving and analytical skills, with the ability to structure ambiguous problems into clear, actionable insights.
  </li>
  <li>
   Clear and fluent communication skills in English, with proven ability to influence and drive consensus across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our promise to talent
  <br/>
  <br/>
 </strong>
 At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.
 <br/>
 <br/>
 <strong>
  Property Finder Guiding Principles
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Think Future First
  </li>
  <li>
   Data Beats Opinions, Speed Beats Perfection
  </li>
  <li>
   Optimise for Impact
  </li>
  <li>
   No Ostriches Allowed
  </li>
  <li>
   Our People, Our Power
  </li>
  <li>
   The Biggest Risk is Taking no Risk at All
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Find us at:
  <br/>
  <br/>
 </strong>
 Twitter
 <br/>
 <br/>
 Facebook
 <br/>
 <br/>
 Instagram
 <br/>
 <br/>
 Linkedin
 <br/>
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 Glassdoor
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Associate, Marketing Analytics

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