business analytics manager

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Product Manager - Advanced Analytics | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Advanced Analytics Product Manager
 
 will play a critical role in driving the development and success of high-impact, AI-powered use case products within the transformation roadmap. This role serves as the strategic bridge between business stakeholders, implementation teams, and technology functions&mdash;ensuring Advanced Analytics solutions are aligned to business goals, deliver measurable value, and are effectively integrated into decision-making processes.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Collaborate closely with the Business owners and Head of Analytics to define and implement a group-wide analytics product strategy aligned to business priorities and the Transformation vision.
 </li>
 <li>
 Own the full product lifecycle of advanced analytics and AI-powered use cases&mdash;from ideation and proof-of-concept (POC) to scaled implementation, adoption, and continuous improvement.
 </li>
 <li>
 Set the vision, strategy, and roadmap for each analytics product, ensuring clarity of purpose, stakeholder alignment, and long-term value delivery.
 </li>
 <li>
 Participate in discovery workshops with business units to identify analytics opportunities, shape problem statements, and prioritize high impact use cases.
 </li>
 <li>
 Collaborate with data science, analytics, and business teams to convert successful POCs into scalable products that deliver measurable outcomes.
 </li>
 <li>
 Build and maintain strong partnerships with senior stakeholders across functions, acting as a trusted advisor and product evangelist.
 </li>
 <li>
 Lead change management efforts, helping drive cultural and behavioral shifts around data usage and analytics adoption.
 </li>
 <li>
 Work with data management teams to structure and prepare high-quality, relevant data assets that enable fast prototyping and product development.
 </li>
 <li>
 Partner with data engineers to incorporate internal and external data sources, optimizing analytics product performance and value.
 </li>
 <li>
 Provide input into the data infrastructure roadmap, ensuring alignment between analytics product needs and platform capabilities.
 </li>
 <li>
 Support the advanced analytics operating model, participating in governance forums, and contributing to the evolution of best practices.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline such as Business, Computer Science, Engineering, Mathematics, Economics, or related fields.
 </li>
 <li>
 10+ years of experience in analytics, product management, business analysis, and management consulting.
 </li>
 <li>
 Strong background in delivering data or AI-powered products, ideally within large organizations and being part of data transformation programs.
 </li>
 <li>
 Strong understanding of data and analytics fundamentals, product development lifecycles, and enterprise business environments.
 </li>
 <li>
 Exceptional interpersonal skills; highly effective in cross-functional teamwork and communicating complex ideas in a simple, compelling way.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

Product Manager - Advanced Analytics

Alyasra Fashion

<div>
 
 
 Job Purpose
 
 
 
 As CRM &amp; Analytics Manager, you will lead the CRM strategy through Data and Analysis in line with the brand and trading objectives that converts data into high-impact business opportunities. You will be the bridge between insights and commercial action, driving revenue growth, margin improvement, and customer lifetime value across online and offline channels in the GCC fashion &amp; footwear market.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 Own the CRM and analytics roadmap for five core domains:
 
 
 1) Customer demographics &amp; segmentation (purchase behavior, cohort analysis, CLV, churn prediction)
 
 
 2) Data and profiling (strategy, collection, enrichment)
 
 
 3) Campaign &amp; promotion effectiveness (attribution modeling, incrementality testing, ROI optimization)
 
 
 4) Inventory &amp; stock optimization (Product, category and sell through trends)
 
 
 5) Transactional &amp; omnichannel performance (basket analysis, channel shift, price elasticity, cannibalization)
 
 
 
 
 
 Translate insights into clear, actionable business opportunities and present them directly to Directors, Heads and Business unit managers.
 
 
 Partner with Marketing, Merchandising, E-commerce, Supply Chain, and Store Operations to embed analytics into decision-making.
 
 
 Design and enforce best-in-class CRM and marketing automation strategies using modern platforms (Webengage, Infobip, PowerBi, Shopify, GA/Looker etc.).
 
 
 Oversee the development of CRM dashboards, automated reporting, and predictive models.
 
 
 Drive advanced analytics initiatives: customer lifetime value modeling, propensity modeling, market basket analysis, inventory optimization algorithms, and personalized recommendation engines.
 
 
 Work closely with Cyber security teams to ensure full compliance with local data privacy regulations and champion data governance.
 
 
 Continuously scout and implement new tools, technologies, and methodologies to keep the CRM &amp; Analytics function ahead in the GCC Retail &amp; Digital space.
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 3+ years of progressive experience in CRM &amp; Analytics with a focus on consumer behavior.
 
 
 Proven track record in retail / fashion / footwear / luxury / e-commerce in the GCC or similar high-growth markets.
 
 
 Strong commercial acumen: you must demonstrate past examples where your insights directly drove financial impact.
 
 
 Experience managing omnichannel datasets (Store, e-commerce and hybrid customers).
 
 
 Excellent stakeholder management and storytelling skills; comfortable influencing business and Marketing decisions.
 
 
 
 
 
 
 
 
 
 Preferred
 
 (not mandatory)
 
 
 - Experience with machine learning use-cases in retail.
 
 
 - Arabic language proficiency.
 
 
 - Prior work in KUW, KSA or UAE retail market.
 
 
 
</div>

CRM & Analytics Manager

اورنچ مصر

<div>About the job Sr. Manager, Data Analytics &amp; CVM - BU
<div>Purpose of the job

The Sr. Manager of Data Analytics &amp; CVM Insights is responsible for defining and driving the analytics &amp; insights strategy across Orange Egypts business units. The role focuses on transforming data into actionable insights, enabling CVM decisioning, and empowering B2C, B2B, Finance, Customer Experience, and Orange Cash with trusted analytics.
<ul>
<li>He/she will lead the design of modern analytic data models, and build a strong insights layer on top of Oranges on-premise data lakehouse&mdash;powered by modern open-source technologies.</li>
<li>This role requires a leader who can bridge business and technical teams, set the strategic direction for analytics, and ensure insights are consistent, scalable, and ready for AI enablement (EDA, feature exploration, segmentation fields)</li>
</ul>Duties and responsibilities

1. Lead the design of Target Architecture and implementation of transformation program to achieve it, directing the evaluation of strategies and policies to ensure OEG vision &amp; Business requirements are being met.

2. Design the competitive data architecture, including framework, principle, transformation roadmap and Lead the delivery team to realize an optimized solution.

3. Create robust, scalable, optimized and sustainable data architecture that supports Orange Egypts vision and the digital foot-print as well as business requirements and provides for future expansion

4. Identify Industry trends and areas of innovation in data tools and techniques, and recognize appropriate timing for adoption.

5. Work closely with Executive Management, internal Data factory peers and customer resources to ensure a smooth transition from the initial to the target unified Architecture.

6. Present and share Transformation program progress to relevant stakeholders including C-level thru regular steering committees
7. Interface with Orange group to align eco-system tools, and standardize built solutions

8. Re-engineer existing physical data structures and recommend efficiencies as it relates to data storage and retrieval

9. Design optimal data lake and analytics platform to fulfill the business/technical requirement. Enable Artificial and business intelligence tools and platforms to both BI Analysts and data scientists.
10. Identify the gap between business requirement and data architecture and propose solution to resolve or shorten the gap.

11. Build integrated Enterprise Data Warehouse and Data lake models using both Hadoop and relational models to support optimized reporting solutions

12. Work closely with DBAs , IT experts and data lake resources to help insure the physical design meets the functional and performance requirements of the applications utilizing the data

13.Collaborate with ETL, BI and API developers on data mapping and report/application design

Job specification

Education

BS/MS in Computer Science, Computer Engineering, Business Analytics, Statistics, or related fields.

Experience

10&ndash;15 years of experience in analytics, BI, or data strategy, with:
<ul>
<li>Proven leadership in modern data analytics environments (not legacy-only DWH).</li>
<li>Strong experience with:</li>
<ul><li>Data modeling &amp; ELT/ETL</li>
<li>Modern query engines (Trino, Presto, SparkSQL, etc.)</li>
<li>Workflow orchestration (Airflow or similar)</li>
<li>dbt or modular ELT frameworks</li>
</ul><li>A plus is a Deep experience generating insights for CVM or customer-centric analytics (telecom experience preferred, but not mandatory).</li>
</ul><ul><li>Experience in decisioning environments (campaign management, segmentation, personalization).</li>
<li>Experience in telco, fintech, e-commerce, or large-scale consumer industries.</li>
<li>Exposure to modern BI platforms (Tableau, Metabase, PowerBI, Looker).</li>
</ul><ul><li>Exposure to big-data thinking and scalable architectures (Kafka, distributed SQL engines).</li>
<li>Understanding of AI analytics requirements (EDA, feature exploration, data readiness).</li>
<li>Experience with cross-functional stakeholder management.</li>
</ul>Skills and Abilities
<ul><li>Strong leadership with the ability to coach and grow analytics teams.</li></ul>
<ul><li>Deep business acumen, particularly in customer value, churn, segmentation, and monetization.</li></ul>
<ul><li>Strong communication skills with ability to present insights to senior leadership.</li></ul>
<ul><li>Strategic thinker with the ability to connect data to business impact.</li></ul>
<ul><li>Advanced SQL skills and solid understanding of data modeling principles.</li></ul>
<ul><li>Analytical mindset with proven experience turning data into action</li></ul></div></div>

Sr. Manager, Data Analytics & CVM - BU

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 
 Job Title: Manager, Data Science &ndash; Analytics
 
 
 
 
 Job Location: Bangalore, India
 
 
 
 The Global Shipping team works closely with product and business partners with the objective to drive success of eBay&rsquo;s key shipping initiatives through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.
 
 
 We are seeking a high-energy, driven and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities. The ideal candidate will apply advanced analytics and data science techniques to drive innovation, build data products, and deliver actionable recommendations through meticulous analysis.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, and provide structured and data-supported practical solutions to optimize eBay&rsquo;s domestic and cross-border shipping
 </li>
 <li>
 Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while optimizing conversion.
 </li>
 <li>
 Drive innovation and continuous improvement within the shipping analytics team, develop data products for faster and accurate decision-making, leverage advanced analytics tools and data science models.
 </li>
 <li>
 Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to identify, prioritize, and solve shipping-related business challenges.
 </li>
 <li>
 Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
 
 
 
 </li>
 </ul>
 Additional requirements: This role operates within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.
 
 
 
 What We Expect From You
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. Masters in a related field or an MBA is preferred.
 </li>
 <li>
 6+ years of work experience in data science, analytics, or a related field.
 </li>
 <li>
 Strong analytical skills with expertise in SQL, Excel and data visualization tools. Proficiency in a statistical programming language like R or Python is preferred
 </li>
 <li>
 Background in product analytics with hands-on experience with A/B experiments (design and measurement techniques) is preferred.
 </li>
 <li>
 Proven track record of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.
 </li>
 <li>
 Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.
 </li>
 <li>
 Experience working in a fast-paced environment with cross-functional teams
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Manager, Data Science - Analytics

<div>Job Purpose
The Demand Analytics manager provides specialized services related to creation of analytics (tools/system) and intelligence for activities related to Integrated Business Planning (IBP). This role is responsible for driving improvements in demand analytics activities securing as a result improved customer service and lower working capital.
Education, Experience &amp; Skills
<ul><li>University Graduate MBA/Master in relevant field is preferred Statistics, Analytics, Supply Chain, Demand management
</li><li>6-9 years of experience in Supply Chain preferably in Demand planning and S&amp;OP process. Experience of multiple business cycle in Commercial operations/ Supply chain / Demand forecasting, ideally in a pharmaceutical environment
</li><li>Team management and people development experience preferred.
</li><li>Excellent written and verbal communications skills in English
</li><li>Highly numerate and good knowledge of supply chain systems and processes
</li><li>Experience in statistical and Analytical tools like, Power BI /Advance Excel
</li></ul>Key Responsibilities
<ul><li>Ensure timely execution of standard work activities which feeds into the key Integrated Business Planning (IBP) meetings including Demand Review, feeding through to Supply Review and regional S&amp;OP meetings
</li><li>Interface with supporting Network to ensure standard data source/tool is in use by all stakeholders and ensure data consistency between all system
</li><li>Drive automation, tools standardization, develop Power BI/excel tools in alignment with global standard to improve ways of working
</li><li>Prioritize and manage reporting / analytics requests with CoE project &amp; change manager
</li><li>Develop close coordination with regional representatives for resolution of issues/escalations from markets/region to ensure smooth execution of activities
</li><li>Coach and review development plans for the team and ensures it is aligned with GSK ambitions as well as personal career aspirations
</li><li>Drive performance by contributing to strategic global and regional projects in close coordination with project &amp; demand lead that will use demand forecasting as a lever to unlock further benefits in GSK's supply chain
</li></ul>Why GSK?
 
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Contact information:
 
You may apply for this position online by selecting the Apply now button.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</div>

Demand Analytics Manager

U Microfinance Bank Limited

<div>
 
 
 Job Purpose
 
 
 
 The
 
 Manager &ndash; BI Analytics &amp; Data Science
 
 drives data-driven decision-making by building end-to-end analytical solutions. The role bridges the gap between raw data and business strategy by managing the full lifecycle of data&mdash;from pipeline engineering and ETL to advanced predictive modeling and high-impact
 
 Power BI
 
 visualizations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Engineering &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Streamline
 
 ETL processes
 
 and develop
 
 optimized data models
 
 to drive efficient, high-performance
 
 Power BI
 
 reporting and advanced analytical insights.
 </li>
 <li>
 Develop and deploy
 
 Machine Learning models
 
 and statistical frameworks to solve complex business problems.
 </li>
 <li>
 Utilize
 
 SQL, Python, or R
 
 to perform deep-dive analysis and identify predictive trends.
 </li>
 <li>
 Maintain the integrity and performance of the
 
 data architecture
 
 supporting analytics.
 </li>
 </ul>
 
 
 2. Power BI Visualization &amp; Reporting
 
 
 <ul>
 <li>
 Lead the design and maintenance of interactive
 
 Power BI dashboards
 
 and automated reporting tools.
 </li>
 <li>
 Translate complex datasets into clear, visual stories that allow stakeholders to track
 
 KPIs
 
 in real-time.
 </li>
 <li>
 Utilize
 
 Advanced Excel
 
 for specialized data manipulation, ad-hoc analysis, and complex financial modeling.
 </li>
 <li>
 Communicate technical findings to non-technical stakeholders to guide strategic growth.
 </li>
 </ul>
 
 
 3. Governance &amp; Strategy
 
 
 <ul>
 <li>
 Align data initiatives with cross-functional business goals while ensuring compliance with
 
 data governance
 
 and security policies.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 Education:
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree
 
 in Data Science, Computer Science, or Statistics.
 </li>
 <li>
 
 Experience:
 
 
 4&ndash;5 years
 
 in BI and Data Science.
 </li>
 <li>
 
 Industry Preference:
 
 
 Prior experience in the Banking or Financial Services sector
 
 is highly preferred and will be a significant
 
 plus point
 
 .
 </li>
 <li>
 
 Technical Stack:
 
 Expertise in
 
 Power BI
 
 ,
 
 SQL
 
 , and
 
 Advanced Excel
 
 , with strong proficiency in
 
 Python/R
 
 ,
 
 ETL development
 
 , and
 
 data modeling
 
 .
 </li>
 <li>
 
 Expertise:
 
 Hands-on experience in
 
 Machine Learning
 
 , statistical analysis, and creating advanced
 
 DAX measures
 
 .
 </li>
 <li>
 
 Banking Domain:
 
 
 Banking knowledge or past experience in banking
 
 is a plus, specifically regarding credit risk, deposits, branchless banking, or financial regulatory requirements.
 </li>
 <li>
 
 Soft Skills:
 
 Sharp
 
 analytical thinking
 
 and the ability to present data insights clearly to leadership.
 </li>
 </ul>
 
 
</div>

Manager – BI Analytics & Data Science

Shamal LLC

<div>Overview:

Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate. 
As Shamal Holding continues to grow, we&rsquo;re in search of a Senior Manager &ndash; Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
Responsibilities:

Strategic Responsibilities:<ul><li>
Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li><li>
Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li><li>
Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li><li>
Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li><li>
Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li></ul>
 IT Management and Governance:<ul><li>
Helps establish governance structure where decision-making is weighted toward empowered teams.</li><li>
Lead and manage the Data Analytics squads and outcomes.
</li><li>Prepare and monitor IT capital and operational budgets for assigned portfolio.
</li><li>Execute through alignment to the new digital operating model and working with cross&#8208;functional squads orchestrating continuous value delivery through release planning increments.</li><li>
Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li></ul>
IT Operations:
<ul><li>Direct the planning, deployment and management of the data analytics initiatives and services.
</li><li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li><li>
Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li><li>
Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.</li></ul>
Data Architecture:<ul><li>
Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li></ul>
IT Security:
<ul><li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li><li>
Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li></ul>
Data Management:<ul><li>
In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li><li>
Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li></ul>
 People Management Responsibilities:<ul><li>
Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li><li>
Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.</li><li>
Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.</li><li>
MBA or related advanced business degrees, are preferable</li><li>
A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.</li><li>
Experience as a Data Analytics Lead or equivalent position in a global environment.</li><li>
Experience to set and communicate a clear vision, aligning data initiatives with business goals.</li><li>
Proficiency in developing comprehensive data strategies to drive decision-making and innovation.</li><li>
Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.</li><li>
Skill in working with diverse teams and departments to leverage data for organizational improvement.</li><li>
Effective communication of complex insights to non-technical stakeholders.</li><li>
Experience in building and leading high-performing data teams.</li><li>
Understanding of industry trends, competitive landscapes, and business drivers.</li><li>
Ability to identify challenges and design data-driven solutions to address them.</li><li>
Extensive experience in scrum/project management/delivery management or an associated area.</li><li>
An entrepreneurial mindset; able and interested to pursue new business channels and models.</li></ul><div></div> 
For more information about Shamal, please visit our LinkedIn page: https://www.linkedin.com/company/shamalholding/ 
Note:
<div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

Senior Manager - Data & Analytics

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