data analytics manager

<div>
 
 
 Shape the Future with Data!
 
 
 
 
 
 
 Are you ready to make a real impact on customer journeys at TEB BNP Paribas? We are seeking a highly skilled
 
 CRM &amp; Data Analytics Manager
 
 to join our team. As
 
 data scientists
 
 our aim is to elevate customer success, and we are deeply committed to customer satisfaction.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 This role focuses on leveraging data analytics and models to drive sustainable improvements in customer journeys. You analyze customer data to propose and implement strategies that enhance customer satisfaction. Providing actionable insights to sales, marketing, digital, and customer service teams is crucial, and enabling them to make data-driven decisions and optimize performance
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Utilize data analytics to improve customer journeys and satisfaction
 </li>
 <li>
 Analyze customer feedback and interaction data
 </li>
 <li>
 Develop and implement strategies to enhance customer experiences
 </li>
 <li>
 Provide insights to various teams to support data-driven decision-making
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Statistics, Mathematics, Computer Science, or a related field
 </li>
 <li>
 
 
 Minimum of 4 years of experience in data analysis, reporting, and data visualization
 
 
 </li>
 <li>
 Proficiency in SAS, SQL, Python, or R for data analysis
 </li>
 <li>
 Strong ability to analyze complex data
 </li>
 </ul>
 
 
 
 
 Join us at TEB BNP Paribas and shape the future of customer experiences with data!
 
</div>

CRM & Data Analytics Manager

The Cigna Group

<div>Overview 
Cigna Worldwide Insurance Company, KSA, is looking to appoint a Data &amp; Analytics Manager based in Riyadh to support the development of the local D&amp;A function.
As the Data &amp; Analytics Manager, you will be responsible for supervision of the local D&amp;A team, supporting the transition of business reporting and data processes to local systems, and developing data analytics and business reporting for multiple business functions. This role is crucial in driving the company's digital transformation and ensuring the integrity and accessibility of data across various departments.
Key Responsibilities<ul><li>
Leadership and Team Management:<ul><li>
Lead, mentor, and develop a team of data analysts, fostering a high-performance culture.</li><li>
Set clear performance expectations, provide regular feedback, and conduct performance appraisals.</li><li>
Ensure continuous professional development of the D&amp;A team.</li></ul></li><li>
Support the Transition to Localized Systems:<ul><li>
Support the migration of data-dependent processes and business reporting to new local systems, ensuring a smooth transition and minimal disruption.</li></ul></li><li>
Data Architecture, Governance and Management:<ul><li>
Design and maintain conceptual and logical data models aligned with enterprise architecture standards.</li><li>
Ensure data structures support regulatory, operational, and analytical reporting needs.</li><li>
Implement and maintain data governance and management strategies to ensure data quality and consistency.</li></ul></li><li>
Data Extraction and Reconciliation:<ul><li>
Oversee the extraction and reconciliation of data from various systems to ensure its availability and accuracy for key functions including actuarial, underwriting and finance.</li></ul></li><li>
Reporting Support:<ul><li>
Develop and maintain reporting capabilities required by various functions, including Compliance, Operations, Sales and Client Management, ensuring timely and accurate reporting.</li><li>
Lead the development of automated reporting pipelines using enterprise BI tools.</li><li>
Drive the transition from manual to automated reporting processes, ensuring data quality and reconciliation with source systems.</li></ul></li><li>
Collaboration:<ul><li>
Collaborate with IT and business stakeholders to define data integration and transformation requirements.</li><li>
Work closely with various departments, Operations and Customer Service, to ensure data needs are met and to support the development of analytics solutions.</li></ul></li><li>
Innovation and Improvement:<ul><li>
Identify opportunities to leverage new tools and technologies to enhance data management and reporting processes.</li></ul></li></ul>
Target Profiles &amp; Capabilities
Qualifications and Experience:<ul><li>
Undergraduate qualification in Mathematics, Data Science, Actuarial Science, or a related field</li><li>
Minimum of 6-10 years of Data &amp; Analytics experience, preferably within the Saudi Arabian medical insurance industry, with at least 3-5 years in a management role</li></ul>
Personal Profile:<ul><li>
Experience:
</li></ul>6+ years of experience in data and analytics, with a strong background in data extraction, reconciliation, and reporting.<ul><li>
Technical Skills:
</li></ul>Proficiency in analytic platforms and business intelligence software such as Alteryx, Tableau, Power BI, Qlik, SQL, Python, and/or R.<ul><li>
Analytical Skills:
</li></ul>Strong analytical capabilities with experience in building and implementing data models, business dashboards, and reports.<ul><li>
Communication Skills:
</li></ul>Excellent verbal and written communication skills, with the ability to present complex data insights to various stakeholders.<ul><li>
Collaboration:
</li></ul>Proven ability to work collaboratively with cross-functional teams.<ul><li>
Adaptability:
</li></ul>Ability to adapt to a fast-paced and dynamic environment, with a strong focus on continuous improvement and innovation.<div>
Confidential, unpublished property of Cigna Healthcare. Do not duplicate or distribute. Use and distribution limited solely to authorized personnel. &copy; 2025 Cigna Healthcare</div>
About The Cigna Group
Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we&rsquo;re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Data And Analytics Manager

Glow Beauty On Demand

Employment Overview Job Location: Dubai, UAE Industry: Information Technology and Services Function: Program / Project Management Gender: Any Candidate Nationality: Any Job Type: Full-time What You ll Do * Oversee end-to-end delivery of data analytics projects, ensuring timely and high-quality implementation * Define project plans, milestones, and deliverables aligned with business objectives * Work closely with engineers, analysts, and business teams to develop data-driven solutions * Manage integration of data sources and ETL processes using tools such as Informatica or Talend * Ensure robust database management across SQL and NoSQL environments * Implement advanced analytics techniques, including predictive modeling and machine learning * Drive visualization initiatives using platforms like Tableau, Power BI, or Looker * Ensure adherence to data security and compliance regulations, including GDPR and CCPA * Prepare status reports and communicate progress to senior stakeholders Ideal Profile * Proven experience in technical project delivery within data analytics or big data environments * Familiarity with big data tools (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) * Knowledge of data lifecycle management, analytics techniques, and visualization tools * Strong leadership and communication skills for managing cross-functional teams * Understanding of ETL processes and integration frameworks * Awareness of data governance and cybersecurity best practices Preferred Certifications * PMP, PRINCE2, or Certified Scrum Master * AWS Certified Data Analytics - Specialty or Microsoft Azure Data Engineer Associate * Google Data Analytics Certification or equivalent * CBAP or PMI-PBA for business analysis expertise

Data Analytics Project Manager

Reckitt

<div>
 We are Reckitt
 
 
 Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.
 
 
 Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.
 
 
 Information Technology &amp; Digital
 
 
 In IT&amp;D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.
 
 
 Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.
 
 
 Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.
 
 
 
 About The Role
 
 
 
 The IT&amp;D function is responsible for the digital transformation of the organization with the objective of driving commercial value and business growth. We use technology as a strategic asset to deliver a competitive edge to our business to outperform in the market. Data-led insights and decision-making is a key pillar that enables this objective. We are on the lookout for a rockstar data scientist &amp; analytics lead who brings the expertise of mining information and using cutting-edge AI/ML capabilities to deliver invaluable business insights.
 
 
 Your responsibilities
 
 
 This role will be responsible for the below key job specifications:
 
 
 <ul>
 <li>
 Lead Reckitt South Asia&rsquo;s data stack evolution and strategy to enhance our reporting and analytics capabilities.
 </li>
 <li>
 Manage enterprise data model, data integrity, availability, and information confidentiality as its chief custodian.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs &amp; identifying opportunities and integrate analytics-driven solutions into their business processes.
 </li>
 <li>
 Leverage a profound understanding of mathematical &amp; statistical principles in collaboration with sophisticated machine learning and decision-science algorithms and programming to solve key business challenges to deliver commercial value.
 </li>
 <li>
 Stay abreast with industry trends, emerging technologies and best practices in data science, bringing innovative ideas to improve organizational performance.
 </li>
 <li>
 As the regional product manager for data solutions, collaborate with the global product management to ensure strict adherence to guidelines, processes and templates and cross-pollination of best-practices.
 </li>
 <li>
 As member of the South Asia IT&amp;D team strive to bring together our cross-functional experts through data and by constantly striving to improve the data literacy of the overall function.
 
 
 </li>
 </ul>
 The experience we're looking for
 
 
 <ul>
 <li>
 5-9years of experience post-qualification with significant experience in consumer goods/ durables/ retail/ food &amp; beverages/ electronics/ retail industry with proven experience in using data science techniques for resolving business needs and challenges
 </li>
 <li>
 Demonstrated experience of industry, organizational and functional processes especially sales, supply and marketing.
 </li>
 <li>
 Comprehensive understanding of regression and classification algorithms with mathematical expertise. Proficiency in Python with relevant libraries and frameworks to address specific business problems (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Experience in data modelling, visualization and building/managing data pipelines with automations (ETL/power automate) will be essential.
 </li>
 <li>
 Great problem-solving skills and depth of business understanding is a key consideration.
 </li>
 <li>
 Demonstrated ability to manage multiple stakeholders, partner to influence outcomes, building convincing narratives and driving multiple initiatives is essential.
 
 
 </li>
 </ul>
 The skills for success
 
 
 Data Science, Analytics, Power BI, statistical Analytics, Predictive Analytics, ML, NLP, FMCG, Mix Market Modelling, Customer Segmentation.
 
 
 What we offer
 
 
 With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.
 
 
 We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.
 
 
 Equality
 
 
 We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.
 
 
 All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.
</div>

IT&D Data Scientist & Analytics Manager

Binance

Responsibilities<ul><li>Event Tracking Design &amp; Implementation: Design and structure event tracking specifications for each product iteration cycle. Ensure accuracy and effectiveness of all feature tracking implementations, preventing data gaps and inconsistencies</li><li>Data Dashboard Development &amp; Maintenance: Collaborate with data teams to build comprehensive feature analytics dashboards and monitoring systems. Continuously update and optimize dashboard logic in alignment with product iterations and evolving requirements</li><li>Data Insights &amp; Reporting: Identify product design pain points through in-depth data mining and analysis. Provide actionable recommendations to support feature optimization and iteration planning with data-driven insights</li><li>Solution Development &amp; Execution: Translate data insights into concrete product solutions. Drive end-to-end execution by tracking development progress, ensuring complete implementation, and taking ownership of post-launch results and outcomes</li></ul>

Data Analytics Product Manager

Homzmart

<div>Company Description 
Homzmart is an end to end community that connects home professionals with homeowners who can browse home designs, furniture, accessories and products and also can find reviews, referring professionals, take advice from professionals and read articles about home improvement. 
Job Description 
The Performance &amp; Analytics Manager plays a key role in leading Homzmart&rsquo;s data-driven performance management and forecasting initiatives. The role oversees the full analytics lifecycle &mdash; from data strategy and KPI alignment to predictive modeling and performance optimization &mdash; ensuring that every decision across the business is backed by accurate, actionable insights.
Key Responsibilities
Data Strategy &amp; Governance<ul><li>
Own and continuously enhance Homzmart&rsquo;s analytics framework, ensuring a single source of truth for all business KPIs.</li><li>
Define, document, and standardize metric definitions across commercial, marketing, and operations functions.</li><li>
Drive the integrity and consistency of all data sources and dashboards used for business reviews and decision-making.</li></ul>
Business Performance Analytics<ul><li>
Partner with senior leadership to monitor and analyze company performance across GMV, Items, AOV, and operational efficiency.</li><li>
Deliver daily, weekly, and monthly performance reporting packs with actionable insights and trend analysis.</li><li>
Conduct post-campaign, regional, and category performance reviews to identify growth opportunities and operational gaps.</li><li>
Translate analytical findings into clear business narratives to support strategic planning.</li></ul>
Forecasting &amp; Predictive Modeling<ul><li>
Lead the development of Homzmart&rsquo;s forecasting models to project GMV, item sales, and marketing-driven outcomes.</li><li>
Build machine learning models integrating seasonality, pricing, discounting, and external market factors such as currency and inflation.</li><li>
Develop scenario-based forecasting tools to simulate business performance under different budget or campaign settings.</li></ul>
Cross-Functional Collaboration<ul><li>
Work closely with product, sales, and technology teams to align marketing efforts with overall business objectives.</li><li>
Communicate performance insights and recommendations effectively to all relevant stakeholders.</li><li>
Build and maintain analytics frameworks that monitor production performance, warehouse capacity, and SLA achievement.</li><li>
Deliver actionable insights to improve operational planning, reduce bottlenecks, and optimize fulfillment efficiency.</li></ul>
Automation &amp; Tooling<ul><li>
Automate recurring reports and streamline manual workflows using Python, SQL, and BI tools.</li><li>
Ensure that all analytics outputs are scalable, well-documented, and aligned with Homzmart&rsquo;s data standards.</li></ul>
Leadership &amp; Stakeholder Enablement<ul><li>
Mentor junior analysts and upskill cross-functional teams on data literacy and analytical best practices.</li><li>
Act as a bridge between business and technical teams, ensuring alignment on data priorities and performance goals.</li><li>
Foster a proactive, insight-driven culture across the organization.</li></ul> 
Key Achievements in Role<ul><li>
Built Homzmart&rsquo;s machine learning forecasting engine for GMV and SKU-level projections.</li><li>
Unified KPI definitions and automated performance dashboards across commercial and marketing teams.</li><li>
Introduced new analytical frameworks for production, fulfillment, and campaign evaluation.</li><li>
Supported strategic planning with predictive insights linking business targets to marketing and operational outcomes.</li></ul> 
Qualifications<ul><li> 
Bachelor&rsquo;s degree in Economics, Statistics, Data Science, or related field.</li><li>
4&ndash;6 years of experience in Analytics, Business Intelligence, or Performance Management, preferably in e-commerce or digital business.</li><li>
Strong command of:<ul><li>
SQL (data modeling, query optimization)</li><li>
Business Intelligence tools (e.g., Amazon QuickSight, Google Looker Studio, or similar)</li><li>
Excel / Google Sheets (analytical modeling and automation)</li></ul></li><li>
Solid business understanding of e-commerce KPIs, growth levers, and performance tracking.</li><li>
Excellent communication and data storytelling skills.</li><li>
Proven track record of driving significant improvements in marketing performance and ROI.</li><li>
Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Google Analytics, Adjust).</li><li>
Experience with A/B testing and conversion rate optimization (CRO) methodologies.</li><li>
Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.</li><li>
Ability to work independently and as part of a team in a fast-paced environment.</li></ul> 
Additional Information 
Preferred Skills<ul><li>
Advanced Python proficiency for data modeling, feature engineering, and automation (Pandas, Polars, Streamlit, ML frameworks)</li><li>
Experience with predictive modeling and demand forecasting using machine learning.</li><li>
Familiarity with data visualization design and dashboard scalability.</li><li>
Strong business acumen with the ability to translate analytics into strategic recommendations.</li></ul>
Success Indicators<ul><li>
Company KPIs fully standardized and aligned across all departments.</li><li>
Automated reporting ecosystem with minimal manual intervention.</li><li>
Forecasting accuracy continuously improves across business cycles.</li><li>
Data-driven culture embedded in decision-making across teams.</li></ul></div>

Performance & Analytics Manager

<div>
 
 Company Description
 
 
 
 
 Homzmart
 
 is an end to end community that connects home professionals with homeowners who can browse home designs, furniture, accessories and products and also can find reviews, referring professionals, take advice from professionals and read articles about home improvement.
 
 
 
 Job Description
 
 
 
 
 The Performance &amp; Analytics Manager plays a key role in leading Homzmart&rsquo;s data-driven performance management and forecasting initiatives. The role oversees the full analytics lifecycle &mdash; from data strategy and KPI alignment to predictive modeling and performance optimization &mdash; ensuring that every decision across the business is backed by accurate, actionable insights.
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Strategy &amp; Governance
 
 
 
 <ul>
 <li>
 Own and continuously enhance Homzmart&rsquo;s analytics framework, ensuring a single source of truth for all business KPIs.
 </li>
 <li>
 Define, document, and standardize metric definitions across commercial, marketing, and operations functions.
 </li>
 <li>
 Drive the integrity and consistency of all data sources and dashboards used for business reviews and decision-making.
 
 
 </li>
 </ul>
 
 Business Performance Analytics
 
 
 
 <ul>
 <li>
 Partner with senior leadership to monitor and analyze company performance across GMV, Items, AOV, and operational efficiency.
 </li>
 <li>
 Deliver daily, weekly, and monthly performance reporting packs with actionable insights and trend analysis.
 </li>
 <li>
 Conduct post-campaign, regional, and category performance reviews to identify growth opportunities and operational gaps.
 </li>
 <li>
 Translate analytical findings into clear business narratives to support strategic planning.
 
 
 </li>
 </ul>
 
 Forecasting &amp; Predictive Modeling
 
 
 
 <ul>
 <li>
 Lead the development of Homzmart&rsquo;s forecasting models to project GMV, item sales, and marketing-driven outcomes.
 </li>
 <li>
 Build machine learning models integrating seasonality, pricing, discounting, and external market factors such as currency and inflation.
 </li>
 <li>
 Develop scenario-based forecasting tools to simulate business performance under different budget or campaign settings.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with product, sales, and technology teams to align marketing efforts with overall business objectives.
 </li>
 <li>
 Communicate performance insights and recommendations effectively to all relevant stakeholders.
 </li>
 <li>
 Build and maintain analytics frameworks that monitor production performance, warehouse capacity, and SLA achievement.
 </li>
 <li>
 Deliver actionable insights to improve operational planning, reduce bottlenecks, and optimize fulfillment efficiency.
 
 
 </li>
 </ul>
 
 Automation &amp; Tooling
 
 
 
 <ul>
 <li>
 Automate recurring reports and streamline manual workflows using Python, SQL, and BI tools.
 </li>
 <li>
 Ensure that all analytics outputs are scalable, well-documented, and aligned with Homzmart&rsquo;s data standards.
 
 
 </li>
 </ul>
 
 Leadership &amp; Stakeholder Enablement
 
 
 
 <ul>
 <li>
 Mentor junior analysts and upskill cross-functional teams on data literacy and analytical best practices.
 </li>
 <li>
 Act as a bridge between business and technical teams, ensuring alignment on data priorities and performance goals.
 </li>
 <li>
 Foster a proactive, insight-driven culture across the organization.
 
 
 </li>
 </ul>
 
 Key Achievements in Role
 
 
 
 <ul>
 <li>
 Built Homzmart&rsquo;s machine learning forecasting engine for GMV and SKU-level projections.
 </li>
 <li>
 Unified KPI definitions and automated performance dashboards across commercial and marketing teams.
 </li>
 <li>
 Introduced new analytical frameworks for production, fulfillment, and campaign evaluation.
 </li>
 <li>
 Supported strategic planning with predictive insights linking business targets to marketing and operational outcomes.
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Economics, Statistics, Data Science, or related field.
 </li>
 <li>
 4&ndash;6 years of experience in Analytics, Business Intelligence, or Performance Management, preferably in e-commerce or digital business.
 </li>
 <li>
 Strong command of:
 </li>
 <ul>
 <li>
 SQL (data modeling, query optimization)
 </li>
 <li>
 Business Intelligence tools (e.g., Amazon QuickSight, Google Looker Studio, or similar)
 </li>
 <li>
 Excel / Google Sheets (analytical modeling and automation)
 </li>
 </ul>
 <li>
 Solid business understanding of e-commerce KPIs, growth levers, and performance tracking.
 </li>
 <li>
 Excellent communication and data storytelling skills.
 </li>
 <li>
 Proven track record of driving significant improvements in marketing performance and ROI.
 </li>
 <li>
 Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Google Analytics, Adjust).
 </li>
 <li>
 Experience with A/B testing and conversion rate optimization (CRO) methodologies.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 
 
 </li>
 </ul>
 Additional Information
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Advanced Python proficiency for data modeling, feature engineering, and automation (Pandas, Polars, Streamlit, ML frameworks)
 </li>
 <li>
 Experience with predictive modeling and demand forecasting using machine learning.
 </li>
 <li>
 Familiarity with data visualization design and dashboard scalability.
 </li>
 <li>
 Strong business acumen with the ability to translate analytics into strategic recommendations.
 
 
 </li>
 </ul>
 
 Success Indicators
 
 
 
 <ul>
 <li>
 Company KPIs fully standardized and aligned across all departments.
 </li>
 <li>
 Automated reporting ecosystem with minimal manual intervention.
 </li>
 <li>
 Forecasting accuracy continuously improves across business cycles.
 </li>
 <li>
 Data-driven culture embedded in decision-making across teams.
 </li>
 </ul>
</div>

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