senior data scientist Jobs in Finance Jobs In Marketing Jobs In Cairo

senior data scientist

data scientist Jobs in Finance Jobs In Marketing Jobs In Cairo

data scientist

operations analyst Jobs in Finance Jobs In Marketing Jobs In Cairo

operations analyst

business intelligence analyst, bi Jobs in Finance Jobs In Marketing Jobs In Cairo

business intelligence analyst, bi

data analyst Jobs in Finance Jobs In Marketing Jobs In Cairo

data analyst

data analyst data analytics reporting

Boubyan Bank

<div>
 
 
 JOB SUMMARY / PURPOSE:
 
 
 
 The Data Analyst will be instrumental in leveraging data to enhance the bank's AI conversation assistants and self-service digital channels. This role focuses on extracting, analyzing, and interpreting digital channel&rsquo;s and conversational data to provide actionable insights that drive process improvements, optimize customer journeys, and support evidence-based decision-making across various business units.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, validate, cleanse, and transform large datasets from various sources, including conversational platforms, and data warehouses, ensuring data accuracy and integrity.
 </li>
 <li>
 
 Data Ingestion:
 
 Ingest digital channels logs, anonymize/PII scrub, build vectorization pipelines, index maintenance, ETL for analytics and model monitoring data.
 </li>
 <li>
 
 BI &amp; Reporting Development:
 
 Design, develop, and maintain reports, dashboards, and data visualizations (using tools like Power BI) to track Business KPIs, Conversation analytics, Model performance &amp; quality,Infra &amp; Operations and Compliance &amp; audit reports
 </li>
 <li>
 
 NLU Performance Review:
 
 Review and analyse the Natural Language Understanding (NLU) performance of AI models to improve conversation flow and accuracy. Perform ad-hoc analyses to inform product priorities (e.g., identify content gaps, high-failure dialogs).
 </li>
 <li>
 
 Process Improvement:
 
 Identify opportunities for data process improvements, recommend system modifications, and automate reporting workflows to enhance efficiency.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Work closely with cross-functional teams (e.g., AI Product Managers, AI Scientists and AI Engineers) to understand their data needs, gather reporting requirements, and provide analytical support.
 </li>
 </ul>
 
 
 
 
 
 PREFERRED SKILLS AND QUALIFICATIONS
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data science, Statistics, mathematics, or a related field.
 </li>
 <li>
 
 Experience:
 
 Proven experience (3-5 years preferred) as a Data Analyst, BI Analyst or Reporting Analyst, ideally within the banking/financial services industry or working with AI products/digital journey design.
 </li>
 <li>
 
 Technical Skills:
 
 SQL, Power BI, Python, NLP, ETL
 </li>
 </ul>
 
 -High proficiency in SQL Databases / data warehouse on-prem (Postgres, MongoDB, Oracle, SQL server, Sybase)
 
 
 -Expertise in BI and data visualization tools (e.g., Microsoft Power BI).
 
 
 -Understanding of data warehousing, ETL processes, and database design concepts.
 
 
 -Familiarity with statistical software or programming languages like Python for advanced analytics.
 
 
 -Familiarity with NLP models, LLMs and ML lifecycle (model versioning, inference tagging).
 
 
 -Familiarity with ML observability tools (Grafana integration, MLflow metrics) and model explainability tools.
 
 
 -Familiarity with vector databases (Qdrant/FAISS/ Weaviate), retrieval metrics and conversational analytics tooling.
 
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with keen attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
 </li>
 <li>
 Ability to work independently and collaboratively in a dynamic, fast-paced environment.
 </li>
 <li>
 Proactive mindset and intellectual curiosity about data and emerging AI technologies.
 </li>
 </ul>
</div>

Data Analyst - Data Analytics & Reporting

Banque Misr

<div>
 
 Role Purpose
 
 
 
 As a Product Analyst, you will be an integral part of the various agile tribes and will have the opportunity to take the lead on the digital reporting, product performance monitoring, and KPI analysis of several bank products aiming to capture actionable insights and provide recommendation on business growth and experience optimization.
 
 
 
 Key Accountabilities &amp; Decision Ownership
 
 
 
 <ul>
 <li>
 Define the suitable reporting requirements for each project
 </li>
 <li>
 Collaborate with relevant teams to gather data from multiple sources and convert it into organized reports
 </li>
 <li>
 Execute the analytics roadmap through working with different stakeholders in an agile model
 </li>
 <li>
 Ensure data accuracy and integrity by performing regular audits and quality checks
 </li>
 <li>
 Generate regular and ad-hoc reports that effectively communicate data-driven insights to stakeholders, aiming for business growth, and product performance enhancement
 </li>
 <li>
 Collaborate with stakeholders to sustain relevant reporting tools, systems and dashboards that track business KPIs
 </li>
 <li>
 Maintain dashboards and visualizations that present complex data in a clear and concise manner
 </li>
 <li>
 Perform deep dives in customer data to identify patterns, behaviors, preferences, and seasonalities that keep relevant teams well informed
 </li>
 <li>
 Work with cross-functional teams to automate and streamline reporting processes
 </li>
 <li>
 Stay up-to-date with industry standards and best practices to continuously improve reporting processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Business, Marketing, Computer Science, or a related field
 </li>
 <li>
 Minimum 3 years of proven experience in digital reporting or data analysis
 </li>
 <li>
 Proficiency in digital analytics tools such as Google Analytics, Adobe Analytics, or similar platforms
 </li>
 <li>
 Proficiency in data management tools such as MS Excel, MS Access, MS Power BI, and Tableau
 </li>
 <li>
 Proficiency in SQL, and ability to process large data sets
 </li>
 <li>
 Excellent attention to detail, analytical and problem-solving skills, with the ability to translate complex data into actionable insights
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to present data to both technical and business stakeholders
 </li>
 <li>
 Ability to work independently and collaboratively to provide deliverables on time
 </li>
 <li>
 Knowledge of banking products, services, and financial metrics is a plus
 
 
 </li>
 </ul>
 
 Key Performance Indictors
 
 
 
 <ul>
 <li>
 Execute the full product reporting tag plan and apply the required data analysis models
 </li>
 <li>
 Drive accurate insight to stakeholders that helps improve OKRs
 </li>
 <li>
 Create periodic actionable quantitative and qualitative reports for team visibility
 </li>
 </ul>
</div>

Product Analyst

Konecta

<div>
 
 Position Summary:
 
 
 The Reporting Analyst plays a pivotal role in driving data-informed decisions across international
 
 
 BPO operations. This role is responsible for designing, maintaining, and optimizing global reporting
 
 
 frameworks, KPIs, and dashboards that measure operational performance, customer satisfaction,
 
 
 workforce
 
 
 efficiency, and strategic initiatives. The successful candidate will act as a critical partner to cross-
 
 
 functional
 
 
 teams, ensuring timely delivery of actionable insights in a fast-paced, metrics-driven environment.
 
 
 
 
 
 Key Responsibilities:
 
 
 ● Collect, clean, organize, and analyze large volumes of structured and unstructured data from multiple
 
 
 global sources including customer interactions, QA surveys, WFM platforms, CRMs, and internal
 
 
 systems.
 
 
 ● Develop, automate, and maintain global reports and dashboards (e.g., Looker, Power BI) that
 
 
 monitor key KPIs across clients, markets, and contact center sites.
 
 
 ● Design and maintain relational databases and reporting tools that enable self-service analytics across
 
 
 operational teams.
 
 
 ● Perform root cause analyses and trend forecasting to provide strategic insights on service delivery,
 
 
 efficiency, and customer experience.
 
 
 ● Collaborate with global functional leads in Workforce Management, Quality, Training, and Client
 
 
 Services to align metrics, standardize reporting, and define best practices.
 
 
 ● Translate data into compelling narratives and visual presentations for executive stakeholders.
 
 
 ● Present monthly and quarterly business reviews to leadership and clients with a focus on data-driven
 
 
 recommendations.
 
 
 ● Maintain robust documentation and ensure consistent application of data governance policies across
 
 
 reporting systems.
 
 
 ● Drive continuous improvement through automation, AI-based insights, and integration of new
 
 
 
 
 
 analytics tools.
 
 
 ● Support RFPs, client audits, and contract renegotiations with data and performance evidence.
 
 
 
 
 
 Must-Have Qualifications and Skills:
 
 
 ● Experience (4+y) in a global reporting, analytics, or business intelligence role, working in multi-
 
 
 country BPO operations, global shared services or high-volume customer operations.
 
 
 ● Strong analytical mindset and exceptional attention to detail.
 
 
 ● Proficiency in data analytics and visualization tools: Excel (advanced), SQL, Looker, Power BI.
 
 
 ● Strong understanding of customer experience or service delivery metrics and performance
 
 
 management frameworks.
 
 
 ● Ability to synthesize complex data sets into actionable insights.
 
 
 ● Proven experience managing dashboards and operational reports in BPO, shared services, or
 
 
 customer service environments.
 
 
 ● Outstanding written and verbal communication skills.
 
 
 ● Demonstrated autonomy in managing multiple projects, deadlines, and stakeholder expectations.
 
 
 ● Strong critical thinking, problem-solving, and storytelling abilities.
 
 
 ● Bachelor&amp;#39;s degree in Statistics, Mathematics, Computer Science, Business Analytics, or related field.
 
 
 ● Fluency in English; additional languages are a plus.
 
 
 
 
 
 Preferred Qualifications (Nice-to-Have):
 
 
 ● Familiarity with workforce management, quality assurance, or gamification platforms (e.g.,
 
 
 Centrical, NICE, Genesys).
 
 
 ● Experience with ETL processes and data warehousing solutions.
 
 
 ● Background in predictive modeling, segmentation, or customer behavior analytics.
 
 
 ● Certification in Tableau, Power BI, or data analytics frameworks.
 
 
 
 
 
 What Success Looks Like:
 
 
 ● Consistently delivers accurate, timely, and insightful reports.
 
 
 ● Enables leadership to make fast, informed decisions.
 
 
 
 
 
 ● Acts as a data champion, standardizing and elevating reporting practices across geographies.
 
 
 ● Anticipates risks and opportunities based on trends before they impact performance.
 
</div>

Reporting Analyst - BPO Industry

Kijamii

<div>
 
 
 ABOUT Kijamii:
 
 
 
 Kijamii is an independent, award-winning advertising agency driven by innovation and culture, with a rich legacy of over 14 years, operating regionally with offices in Dubai, Cairo and Riyadh.
 
 
 
 
 
 
 Job Purpose:
 
 
 
 The Junior Consumer Insights Analyst is a passionate researcher who will lead and execute consumer insights and digital research projects by applying diverse research methods, analyzing data, and turning findings into actionable recommendations. The role acts as the main client contact, supports brand and agency teams in shaping communication strategies, and drives innovation in research frameworks and reporting. It requires independent project management, strong client communication, and proficiency in digital analytics tools to deliver measurable value and impact.
 
 
 
 
 
 
 RESPONSIBILITIES AND TASKS:
 
 
 <ul>
 <li>
 Chooses the right research approach to deliver value to clients (E.G Surveys, digital conversations, etc).
 </li>
 <li>
 Draws insights &amp; actionable recommendations from the research itself.
 </li>
 <li>
 Innovate in research framework, structure &amp; presentations.
 </li>
 <li>
 Independently handle diverse Consumer Insights projects.
 </li>
 <li>
 Acts as frontline for client communication.
 </li>
 <li>
 Works in liaison with brand teams, agency project managers to power up communication strategy &amp; campaign ideation outline.
 </li>
 </ul>
 
 
 
 
 
 JOB SPECIFICATIONS:
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in a related field
 
 
 
 Experience
 
 
 
 (0-2) years of experience in digital research/social listening or social media analytics.
 
 
 
 Skills
 
 
 
 
 
 <ul>
 <li>
 Acquainted with diverse research approaches.
 </li>
 <li>
 Proficient in social media reporting metrics.
 </li>
 <li>
 Skilled in using Google solutions (specifically Google Sheets &amp; Google Slides).
 </li>
 <li>
 Strong presentation skills with the ability to communicate independently with clients.
 </li>
 <li>
 Flexible and able to accommodate pop-up requests.
 </li>
 <li>
 Good knowledge of Excel.
 </li>
 <li>
 Proficient in social analytics tools and data analytics tools
 </li>
 <li>
 Previous experience in a marketing agency is a plus
 </li>
 </ul>
 
 
 
 
 This position is open until
 
 December, 24 2025
 
 
 
 
 
 
 Placement is based on the candidate&rsquo;s experience and skills. Only candidates who make it to the shortlist will be contacted.
 
 
 
 
 
 &ldquo;
 
 We thank all individuals who have expressed interest in working at Kijamii
 
 .&rdquo;
 
</div>

Junior Consumer Insights Analyst

Coptic Orphans

<div>
 
 
 Sr. Data Analyst
 
 
 
 
 
 
 
 Purpose of the Job
 
 
 
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 
 
 
 
 
 
 Essential Functions and Responsibilities
 
 
 <ul>
 <li>
 Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
 </li>
 <li>
 Lead the design, implementation, and deployment of predictive and prescriptive models.
 </li>
 <li>
 Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
 </li>
 <li>
 Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
 </li>
 <li>
 Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
 </li>
 <li>
 Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
 </li>
 <li>
 Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
 </li>
 <li>
 Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
 </li>
 <li>
 Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
 </li>
 <li>
 Provide guidance to junior analysts and contribute to building data literacy across teams.
 </li>
 <li>
 Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
 </li>
 </ul>
 
 
 
 
 
 Required Education, Experience, Knowledge and Skills
 
 
 <ul>
 <li>
 Bachelor's degree Data Science, Computer Science, Information Systems Management or a related field.
 </li>
 <li>
 3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
 </li>
 <li>
 Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
 </li>
 <li>
 Demonstrated knowledge of ETL frameworks and data warehousing principles.
 </li>
 <li>
 Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
 </li>
 <li>
 Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
 </li>
 <li>
 Proven ability to design, implement, and deploy predictive and prescriptive models.
 </li>
 <li>
 Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
 </li>
 <li>
 Strong experience with data visualization tools (Power BI, Tableau, or similar).
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
 </li>
 <li>
 Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
 </li>
 <li>
 Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
 </li>
 <li>
 Excellent written and verbal communication skills, with confidence presenting to directors &amp; managers.
 </li>
 <li>
 Ability to translate complex data into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative mindset and willingness to share knowledge with team members.
 </li>
 <li>
 Proficient in both written and spoken English.
 </li>
 <li>
 Exceptional analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Ability to manage multiple priorities and deliver high-quality work independently.
 </li>
 </ul>
 
 
 
 
 
 Travel and Working requirements
 
 
 <ul>
 <li>
 Limited to typical office environment such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
 </li>
 <li>
 Occasional national or international travel may be required.
 </li>
 <li>
 Working out of the official hours and on weekends may be required.
 </li>
 </ul>
 
 
</div>

Sr. Data Analyst

dubizzle Egypt

<div>
 Dubizzle Egypt is the leading marketplace for selling and buying online in the region. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for both individuals and businesses. Our goal is to strengthen local economies, empower small businesses, and help everyone in making smarter choices for themselves, the market, and the planet.
 
 
 As part of Dubizzle Group, we are alongside some of the strongest classifieds brands in the market. With a collective strength of 8 brands, we have more than 160 million monthly users that trust in our dedication to providing them with the best platform for their needs.
 
 
 As a Data Analyst, you will be in a central position as you will be evangelising data and our methodologies to other functional analysts and other stakeholders in the company. You will have close interaction with teams in marketing, sales, finance, and product. You will work in a fast-paced environment that is professional, international and entrepreneurial.
 
 
 
 In this role, you will:
 
 
 
 <ul>
 <li>
 Lead the business intelligence unit;
 </li>
 <li>
 Access data, construct and manipulate large datasets to support planned analyses using SQL, Python and similar tools;
 </li>
 <li>
 Design and develop BI dashboards using Sisense or similar tools (Tableau, PowerBI, DataStudio) for various organisational metrics and indicators using best practices and industry standards in finance, sales, inventory, and other areas;
 </li>
 <li>
 Help with defining KPIs metrics and drive the data governance through standardisation and communication;
 </li>
 <li>
 Create the documentation and presentation for the management;
 </li>
 <li>
 Develop analysis and reporting capabilities; monitor performance and quality control plans to identify improvements;
 </li>
 <li>
 Adept at queries, report writing and presenting findings;
 </li>
 <li>
 Research and validation of entity data using appropriate internal and external data sources;
 </li>
 <li>
 Liaise and analyse projects within the Reference Data environment;
 </li>
 <li>
 Analyse, specify, test and implement interfaces, workflow solutions, and reference data solutions - An example would be regression testing systems ahead of upgrades;
 </li>
 <li>
 Participate in the design, implementation and interpretation of experiments/trials for continuous refinement of ongoing strategies;
 </li>
 <li>
 Responsible for data quality and timely delivery of reports that make common business sense;
 </li>
 <li>
 Participate in Analytics &amp; Reporting trainings to evangelise data across the organisation;
 </li>
 <li>
 Be able to work autonomously without supervision
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in statistics, mathematics, computer science, or related field;
 </li>
 <li>
 Master's degree is a plus
 </li>
 <li>
 2+ years of work experience in analytics, having closely worked with products and commercials in an internet/e-commerce company;
 </li>
 <li>
 Experience in e-commerce, internet and/or digital media
 </li>
 <li>
 Extensive experience with SQL;
 </li>
 <li>
 Proficient in Microsoft Excel;
 </li>
 <li>
 Experience working with BI tools (e.g. Looker, Periscope, Tableau, etc.);
 </li>
 <li>
 Skills in Python, R or similar tools are a big plus;
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SPSS, SAS etc)
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A fast paced, high performing team
 </li>
 <li>
 Comprehensive Health Insurance
 </li>
 <li>
 Life Insurance
 </li>
 <li>
 Rewards &amp; Recognitions
 </li>
 <li>
 Learning &amp; Development opportunities
 
 
 
 </li>
 </ul>
 #Egyptdubizzle
</div>

Data Analyst

elmenus

<div>
 
 Job Description
 
 
 
 Senior Product Analyst
 
 
 Contract: Full-time, permanent
 
 
 Location: Remote / Flexible
 
 
 
 Role Overview
 
 
 
 As a Senior Product Analyst, you&rsquo;ll partner closely with our Tech, Growth, Commercial, and Business Operations teams to uncover insights that improve conversion, retention, and customer satisfaction. You&rsquo;ll own the end-to-end analytics lifecycle from defining success metrics and ensuring accurate instrumentation to delivering actionable insights that drive product performance.
 
 
 This role blends analytical depth with business intuition. You&rsquo;ll be a key player in translating raw data into meaningful decisions that enhance customer experience and drive growth.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own end-to-end analysis of the user funnel to uncover drop-offs, quantify business impact, and identify actionable opportunities for improvement.
 </li>
 <li>
 Partner with Tech to validate event tracking, ensure data accuracy, and strengthen instrumentation.
 </li>
 <li>
 Define, monitor, and explain key performance metrics (conversion rate, retention, reorder rate, refund cycle time).
 </li>
 <li>
 Correlate operational issues (delivery delays, promo or payment errors) with customer satisfaction trends.
 </li>
 <li>
 Extract and quantify customer pain-points from reviews and support data to guide CX initiatives.
 </li>
 <li>
 Design and evaluate experiments in collaboration with Growth, Commercial, and Operations teams.
 </li>
 <li>
 Build and automate dashboards and recurring performance reports for leadership visibility.
 </li>
 <li>
 Translate complex data into clear, visual, and actionable recommendations that influence decisions.
 </li>
 <li>
 Drive a culture of data-driven decision-making across all business and technical functions.
 
 
 </li>
 </ul>
 Job requirements
 
 
 
 Required
 
 
 
 <ul>
 <li>
 5+ years of experience in product, growth, or business analytics within digital platforms (delivery, marketplace, or e-commerce).
 </li>
 <li>
 Strong experience with data visualization and BI tools (Tableau, Metabase, or Looker).
 </li>
 <li>
 Expertise in behavioral analytics platforms such as MoEngage, Mixpanel, Heap, Amplitude, or Google Analytics, with the ability to translate event-level data into actionable insights.
 </li>
 <li>
 Demonstrated ability to perform funnel, cohort, and A/B test analysis, and to interpret results in a clear business and CX context.
 </li>
 <li>
 Proficiency in SQL and Python (pandas, matplotlib, seaborn) or equivalent analytical tools.
 </li>
 <li>
 Excellent communication and stakeholder management skills &mdash; able to present complex findings to both technical and non-technical audiences.
 </li>
 <li>
 Good written and verbal communication in English.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience collaborating with Tech, Growth, and Operations teams to optimize product performance and customer experience.
 </li>
 <li>
 Working knowledge of event instrumentation and data pipeline concepts (GA4, BigQuery, Amplitude, PostHog).
 </li>
 <li>
 Familiarity with customer experience measurement frameworks (NPS, CSAT, VOC)
 </li>
 <li>
 Understanding of marketplace dynamics, including vendor performance, delivery reliability, and consumer satisfaction drivers.
 </li>
 </ul>
</div>

Senior Product Analyst

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