data analytics lead

Al-Futtaim

<div><p><b>Job Requisition ID: </b>175861</p>
<p>
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day</p><p><b><br>
Overview Of The Role:</b></p><br>
<ul>
<li>The Data &amp; Analytics Lead is pivotal in developing and executing the data and AI enablement strategy for Al-Futtaim Financial Services (AFF), Hertz, and international businesses, aligning all initiatives with the digital transformation roadmap. The role bridges business, technology, and AI innovation, focusing on creating a unified, governed, and scalable data ecosystem. By leading the design and delivery of the AI-enabled data and analytics platform, the role aims to offer product-level profitability, portfolio insights, and operational excellence. This involves driving various analytics deliveries and building an internal AI capability crucial for automation, decision intelligence, and customer insights.</li></ul><p></p><p><br>
<b>
What You Will Do:</b></p><br>
<h4 class="jobSectionHeader"><b>
Data Strategy and Enablement</b></h4><br>
<p></p>
<ul>
<li>Lead the Data &amp; AI Enablement agenda by defining and executing the data strategy aligned with the Group CDO and Digital Transformation plan.</li>
<li>Design and deliver the AI-enabled Data platform by establishing data pipelines and governance frameworks for AFF, Hertz, and related businesses.</li>
<li>Build AI capability by developing internal data science and ML delivery capabilities for use cases like credit risk, pricing, fraud detection, and collections optimization.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Data Governance and Compliance</b></h4><br>
<p></p>
<ul>
<li>Implement policies, metadata management, lineage, and quality frameworks aligned with Group data leads.</li>
<li>Ensure data governance score achieves 95% with zero critical audit findings.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Analytics and BI Delivery</b></h4><br>
<p></p>
<ul>
<li>Drive data analytics platform adoption, ensuring implementation of executive dashboards covering profitability, equity, RoE, and self-service analytics for business teams.</li>
<li>Aim for BI adoption rate of 80% with reduction in manual reports.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Collaboration and Partnership Management</b></h4><br>
<p></p>
<ul>
<li>Collaborate with Group &amp; Divisional teams to ensure synergy with AFS&amp;TD, GTDP, EIB and initiatives to avoid duplication and ensure reuse of shared data assets.</li>
<li>Manage relationship with data engineering vendors, AI partners, and Group shared services (infrastructure, security) with SLA adherence of 95% and cost efficiency within budget.</li></ul><p><br>
<br>
<b>Required Skills To Be Successful:</b></p><br>
<ul>
<li>Strong technical knowledge of Azure Data Factory, Power BI, SQL, and Fabric Lakehouse.</li>
<li>Familiarity with Python and ML frameworks such as Scikit-learn and Azure ML for model deployment.</li>
<li>Experience establishing and enforcing data governance towards certified data concepts, lineage, and quality frameworks.</li>
<li>Deep understanding of financial product data models, including Portfolio, Profitability, and RoE.</li></ul><br>
<p><br>
<b>What Equips You For The Role:</b></p><br>
<ul>
<li>10+ years in Data &amp; Analytics roles with at least 5 years in leadership capacity.</li>
<li>Hands-on experience designing and delivering fully AI enabled data platforms.</li>
<li>Proven experience in AI/ML delivery, such as credit risk, pricing, and customer analytics, including building digital twins.</li>
<li>Track record of managing data engineering and BI delivery teams, both internal and vendor.</li></ul><p></p><p><b><br>
About Al-Futtaim Group Real Estate</b><br>
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years.<br>
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us.<br>
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.</p>
<p><b>About Al-Futtaim Malls</b><br>
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.</p>
<p>Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.</p>
<p>Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.</p>
<p>For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/</p>
<p><b>About Al-Futtaim Engineering &amp; Technologies</b><br>
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions.<br>
<br>
The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation.<br>
<br>
The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services.<br>
<br>
These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</p></div><p></p>

Data & Analytics Lead

University of Pittsburgh

<div><div><p><b>Data Analytics Lead</b></p></div><div>
Health Sciences Research Administration - Pennsylvania-Pittsburgh - (26001137)</div><div></div><div><p><br>
This position provides support to the Research Data Operations Team within the Office of the Senior Vice Chancellor for the Health Sciences. The Research Data Operations Team maintains quality historical, current, and future sponsored project award funding and proposal data for use in internal and external reporting, dashboards, and national rankings/surveys.</p></div><p></p><div><div><b><br>
Job Summary</b></div><p>
Evaluates business requirements and performs advanced data integration and analysis. Develops advanced analytical and reporting tools utilizing multiple sources of integrated data. Provides technical support.</p></div><div><div><b>
Essential Functions</b></div><p>
The ideal candidate will be skilled in developing Tableau dashboards and reports, integrating data from multiple sources, validating reporting logic, and applying strong analytical practices. They should demonstrate the ability to solve complex data problems, streamline processes, and leverage new technologies or automation to improve workflows. The candidate should have experience developing high‑visibility reports for large and diverse audiences and responding to ad hoc reporting requests with accuracy and efficiency. Additionally, the candidate will collaborate with IT and participate in the maintenance of data assets as needed.</p><p>
This role requires strong attention to detail, technical acumen, and the ability to apply critical thinking skills.</p></div><div><div><b>
Physical Effort</b></div><div><div><div><p>
Little physical effort required. Duties are primarily sedentary. May be required to move objects up to 25 pounds occasionally.</p></div></div></div></div><p></p><div><p><i><br>
The University of Pittsburgh is an equal opportunity employer / disability / veteran.</i></p><div><br>
</div></div><div><div><b>
Assignment Category</b></div> Full-time regular</div><div><div><b>
Job Classification</b></div> Staff.Data Analyst III</div><div><div><b>
Job Family</b></div> Information Technology</div><div><div><b>
Job Sub-Family</b></div> Analytics</div><div><div><b>
Campus</b></div> Pittsburgh</div><div><div><b>
Minimum Education Level Required</b></div> Bachelor's Degree</div><div><div><b>
Minimum Years of Experience Required</b></div> 5</div><div><div><b>
Will this position accept substitution in lieu of education or experience? </b></div>Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.</div><div><div><b>
Work Schedule</b></div> Monday - Friday, 8:30 a.m. - 5:00 p.m.</div><div><div><b>
Work Arrangement</b></div> Hybrid: Combination of On-Campus and Remote work as determined by the department.</div><div><div><b>
Hiring Range</b></div> To be determined based on qualifications</div><div><div><b>
Relocation Offered</b></div> No</div><div><div><b>
Visa Sponsorship Provided</b></div> No</div><div><div><b>
Background Check</b></div> For position finalists, employment with the University will require successful completion of a background check</div><div><div><b>
Child Protection Clearances</b></div> Not Applicable</div><div><div><b>
Required Documents</b></div> Resume, Cover Letter</div><div><div><b>
Optional Documents</b></div> Not Applicable</div></div>

Data Analytics Lead

Citi

<div><p>Markets Program Execution &amp; Transformation provides centralized, cross functional management and support for the implementation of major business change programs across Citi Markets Products and its Clients, as well as operating several data and business execution related activities.</p><p></p><p>
The Data Acquisition Group lead will play a critical role in delivering strategic data programs and managing data acquisition demands from regulators and the Markets business. The role demands a broad skill set and understanding of Capital Markets products, program management, and technical data analysis.</p><p><b><br>
What you&rsquo;ll do:</b></p><ul><li>
Direct day-to-day activities of a data analyst team, including triage of work efforts, SQL and Python query building, reviews, and issue resolution.</li><li>
Manage data extraction activities to facilitate ad hoc regulatory data requests, ensuring consistent, timely, and accurate responses.</li><li>
Support the Markets business as a subject matter expert in sourcing and utilizing strategic data and building automated reporting solutions.</li><li>
Proactively identify and address data quality issues and reporting discrepancies.</li><li>
Partner with Technology and Risk &amp; Control teams to help centralize data and improve data quality in the firm.</li><li>
Champion technology advancement by identifying opportunities to adopt automation and new technologies to improve efficiency.</li><li>
Ensure essential procedures are followed and contribute to defining standards.</li><li>
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citi, its clients, and assets.</li><li>
Support in the delivery of data workstreams for strategic programs, including scope definition, project plans, and business requirement documentation.</li><li>
Communicate work effort status, issues, and risk disposition to all stakeholders, including senior management, on a timely basis.</li><li>
Drive adherence to Citi program processes, procedures, methods, and standards for program delivery and leverage across the portfolio.</li></ul><p></p><p><b>
What we&rsquo;ll need from you:</b></p><ul><li>
12+ years of relevant experience into Capital Markets or related Markets product and Data analytics.</li><li>
Advanced skills in SQL (Must) and Python</li><li>
Understanding of Capital Markets products and regulations</li><li>
Knowledge of Agile methodologies</li><li>
Strong leadership, communication, and interpersonal skills</li><li>
Excellent analytical and problem-solving skills</li><li>
Ability to work effectively under pressure and meet tight deadlines</li><li>
Bachelor&rsquo;s/University degree or equivalent experience, Masters degree preferred</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Project and Program Management<p>
-</p><p><b>
Job Family:</b></p>
Program Management<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Markets Data Analytics Lead; Senior Vice President, Pune

<div><p><b>Job Description:</b></p><p>
Citi Analytics &amp; Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The role of C14 (people manager) having 10+ data scientists reporting to him/her is a part of AIM Financial Crimes Data Analytics and Intelligence (FCDAI) team based in Gurugram and reporting into the Director/Managing Director, AIM. The primary area of focus for this position will be to lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms, design, develop and deploy generative AI based solutions for AML Transaction monitoring. The person will lead and manage the FCDAI team within AIM, recruit staff, lead professional development and build a high performing team.</p><p></p><p><b>
Job Description Summary:</b></p><ul><li>
Act as Strategic Leader: Incumbents would be primarily responsible for supporting Business Execution activities for Independent Compliance Risk Management (ICRM) AML organization, implement analytical solutions</li><li>
Maintain an industry leading knowledge of the tools, systems, and processes available for best-in-class AML Detection and Monitoring</li><li>
Lead as SME in the area of ML/AI/Gen AI. The person should have strong AI and ML concepts and understand Pros and Cons of AI/ML algorithms for better model selection. Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers. Stay abreast of the latest advancements, trends and research in AI and ML space. Knowledge of domain-specific NLP applications and use case across various business problems.</li><li>
Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms. Provide technical leadership, mentorship, and guidance to a team of model developers. Ensuring 100% execution accuracy.</li><li>
Must be able to provide thought leadership for all data solutions that include designing, developing, and implementing Machine Learning/AI/Gen AI solutions that meet and exceed expectations. Extensive knowledge of code and execute the current state of art ML/AI/Gen AI algorithms and Generative AI across different coding platform.</li><li>
Have extensively worked on advanced programming language &amp; databases (SQL, NoSQL, Teradata, etc.), Python (NumPy, Pandas, etc.), bigdata (Hue, Impala, Ozzie, etc.) and Spark. Communicate complex analytical concepts and results to both technical and non-technical audiences.</li><li>
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines. Continuously evaluate and improve model monitoring &amp; governance processes to adapt to changing business needs and emerging risks. Strong understanding of MRM guidelines for ML/AI/Gen AI model approvals and ongoing model validation</li><li>
Understand the complexities of data analysis, machine learning and model development to guide team effectively. Overseeing the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment. Ensure models are developed and deployed in timely manner with high quality and no errors. Strong collaboration among multidisciplinary teams to drive innovation.</li><li>
This role is a people manager role. The role requires leading 10+ data scientists, some of them could be manager of managers, manage their career progression, conflict management, performance management, provide coaching, mentorship, and technical guidance.</li></ul><p><b>
Knowledge and Experience:</b></p><ul><li>
Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques. Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques. Strong understanding of current state of the art ML/AI/Gen AI algorithms. Recommend appropriate ML/AI/Gen AI algorithms for business solutioning.</li><li>
Prior experience in AML domain, Mantas, or any other AML Transaction Monitoring systems will be preferred.</li><li>
Strong coding skill with experience in Bigdata environments, intellectual curiosity to stay abreast of technological and data sciences advances. Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.). Strong knowledge of Python, SQL, and Big Data</li><li>
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.</li><li>
Model execution and governance experience in any domain will be preferable.</li><li>
Proven track record of building and deploying generative models-based solutions in production environments. Proficient in proactive risk mitigation, managing project pipelines to ensure prioritization and required resourcing mix.</li><li>
At least 8 years of people management experience</li><li>
Consistently sets high performance standards with right mentorship &amp; coaching interventions for team. Ownership &amp; accountability of career progression, performance management, IDP and conflict management. Retain talent, manage attrition, and career mobility.</li><li>
Successful candidate will have a demonstrable analytics problem solving and can deliver projects in a challenging environment.</li><li>
Excellent verbal and written communication skills. Communicates seamlessly across team members / stakeholders / cross-functional teams.</li><li>
Strong capability to influence business outcomes / decisions in collaboration with AIM leadership &amp; business stakeholders. Demonstrate thought leadership in partner meetings while leading from the front to drive innovative solutions with excellent stakeholder management.</li><li>
Strong coordination and project management skills; must be able to define business requirements and create robust technical and process documentation to support activities. Identify right skillset requirement for business needs, effective utilization of analytics resources.</li><li>
Ability in strategic thinking and the ability to frame business problems. Excellent analytical, technical, and/or statistical skills with proven ability to translate large volumes of data. An influencer who communicates clearly and frequently to both technical analysts and non-technical business leaders. Intellectually curious, consistently seeking and developing new opportunities.</li></ul><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Decision Management<p>
-</p><p><b>
Job Family:</b></p>
Specialized Analytics (Data Science/Computational Statistics)<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Financial Crimes Data Analytics & Intelligence Lead-Senior Vice President

Astellas

<div><p><b>Title: </b><b>Lead, Brand Analytics
</b></p><p>Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong to Astellas!
</p><p>Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com .
</p><p><b>Astellas&rsquo; Global Capability Centers &ndash; Overview
</b><br>
Astellas&rsquo; Global Capability Centers (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are in India, Poland and Mexico.
<br>
The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.
<br>
Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company&rsquo;s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.
<br>
<b>This position is based in Bengaluru and will require some on-site work.
</b></p><p><b>Purpose and Scope:
</b></p><p>The Pipeline and Brand Analytics Chapter Member is part of the Customer Engagement Excellence (CEE) team within the broader Value Delivery organization. CEE is an integrated global group focused on supporting capabilities across VALUE Delivery, including Commercial (Sales/Marketing), Market Access and Medical Affairs, to enhance delivery and outcomes to the business, whilst prioritizing ethical decision making. During all such activities, there is a need to ensure that the integrity and independence of Medical Affairs capabilities is not compromised. The Chapter Member is expected to proactively communicate and consult with their Chapter and Value Team Leads as necessary to ensure that the integrity and independence of Medical Affairs is maintained at all times.
<br>
<br>
The Pipeline and Brand Analytics Chapter Member drives analytic activities and outcomes aligned with the Pipeline and Brand Analytics Chapter, providing strategic analytic insights and actionable recommendations to stakeholders to support achievement of brand or pipeline objectives.
<br>
<br>
In the role of Chapter Member, the individual executes day-to-day activities within their assigned Value Team, with responsibilities that may vary according to the team&rsquo;s mandate. Within the Value Team, the Chapter Member focuses on resolving specific business challenges for the organization. Value Teams are established and evolve in response to changing business objectives, and Chapter Members serve as key business partners, applying their expertise to drive organizational results.
<br>
<br>
As a Value Team member, the individual collaborates with cross-functional resources to achieve defined objectives and outcomes, working from a prioritized backlog of tasks. The Chapter Member works directly with the Value Team Lead to execute the team&rsquo;s strategy and deliverables in alignment with its mission.
<br>
<br>
The Chapter Member receives capability and skillset development under the guidance of the Chapter Lead, who provides coaching and mentoring within the Agile model.
</p><p><b>Responsibilities and Accountabilities:
</b></p><p><b>Value Team Delivery:
</b></p><ul><li>Deliver day-to-day tasks and responsibilities as defined by the Value Team&rsquo;s mandate based on business objectives
</li><li>Support the Value Team Lead in executing the team&rsquo;s strategy and objectives
</li><li>Apply expertise to address and resolve specific business challenges identified by the Value Team, with a focus on achieving measurable outcomes as defined by the objectives
</li><li>Work collaboratively with cross-functional team members and stakeholders to accomplish prioritized objectives and deliverables
</li></ul><p><b>Area specific Responsibility &amp; Accountability:
</b></p><ul><li>Execute advanced analytics (e.g., segmentation, adherence, HCP network analysis, patient flows) to identify opportunities, drive brand/pipeline strategies, and inform investment decisions.
</li><li>Provide actionable, context-based insights and recommendations to stakeholders.
</li><li>Identify, standardize, and automate integration of critical reporting metrics and modeling tools to address brand/asset-specific needs and improve speed to insight.
</li><li>Manage projects to achieve timelines and deliverables
</li><li>Develop, define and deliver prioritized ad hoc analysis as needed to support evolving business requirements and to provide timely business insights.
</li></ul><p><b>Continuous Improvement:
</b></p><ul><li>Identify opportunities for process enhancements and participate in initiatives to improve team effectiveness and efficiency
</li><li>Drive analytical capability innovation through development of new methodologies/analytic techniques
</li></ul><p><b>Skill Development and Learning:
</b></p><ul><li>Engage in ongoing professional development and capability building, leveraging guidance from the Chapter Lead
</li><li>Lead selection and application of statistical modeling techniques; mentor colleagues on analytic methods.
</li><li>Maintain proficiency among data systems, programs, and software resources (e.g., AWS Redshift, Databricks, SQL, Python), to ensure optimal and efficient achievement of department objectives.
</li><li>Develop comprehensive understanding of various data sources, including HCP and consumer promotion data, as well as their appropriate applications, to facilitate rigorous analytic process design and reliable business insights generation.
</li></ul><p><b>Compliance and Best Practices:
</b></p><ul><li>Adhere to established standards, policies, and leading practices relevant to the Value Team and Chapter, ensuring compliance in areas such as data privacy
</li></ul><p><b>Agile:
</b></p><ul><li>Utilize agile approaches, collaborate in agile ceremonies and Ways of Working to ensure effective delivery for the business
</li><li>Collaborate and foster a culture of collaboration, flexibility, and responsiveness to change, enabling the team to thrive in an agile environment</li></ul></div>
<br><div><p><b>Required Qualifications:
</b></p><ul><li>Bachelor&rsquo;s in data science, Statistics, or Computer Science or other analytics-related field
</li><li>Minimum of 8 years of experience in data analytics with proven experience in managing projects of increasing size and complexity.
</li><li>Familiarity and understanding of coding languages (e.g. SQL, Python is preferred).
</li><li>Working knowledge of various statistical modelling techniques and their application within complex analytical projects, e.g., regression modelling, ROI, natural language processing, machine learning, etc.
</li><li>Ability to interpret data in the context of brand/asset and commercial objectives.
</li><li>Excellent verbal and written communication skills.
</li><li>Pharmaceutical industry experience.
</li><li>Working knowledge of pharmaceutical data sources, e.g., JMDC, MDV.
</li><li>Working knowledge of Japan healthcare environment
</li><li>Understanding of the role of a global function within broader enterprise strategy
</li><li>Previous experience in a global role or working with cross-functional teams
</li><li>Highly coachable/ Thrives in an environment of continuous growth
</li></ul><p><b>Preferred Qualifications:
</b></p><ul><li>MS. in quantitative discipline or MBA with Marketing Analytics, Decision Science, or Analytical Finance Concentration
</li><li>Working knowledge of one or more data visualization tools such as Power BI, Tableau and QlikSense
</li><li>Experience working with global partners
</li></ul><p><b>Working Environment
</b></p><ul><li>This position is based in Global Capability Center (GCC) in India.
</li><li>To enable collaboration within the GCC 2-3 days per week on-site working is expected
</li><li>To enable collaboration with US stakeholders, this role is expected to work 2-11 pm.
</li><li>This role will be a member of a brand or pipeline specific Value Team working following agile methodology to deliver impact
</li></ul><p>&quot;Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. If you encounter a fake profile or anything suspicious, report it promptly to LinkedIn's support team through LinkedIn Help&rdquo;</p></div>

Brand Analytics Lead

Thales

<div>
 Location: Abu Dhabi, United Arab Emirates
 <br/>
 <br/>
 Thales people architect solutions that enable two-thirds of planes to take off and land safely. We create in-flight entertainment systems that engross 50 million fliers every year and we develop the avionics that control the world&rsquo;s largest commercial aircrafts. Our simulators train the next generation of pilots for fighter jets, transporters and search and rescue helicopters. And, together, each and every member of our aerospace team makes a difference.
 <br/>
 <br/>
 Thales has built a presence in the United Arab Emirates for over 35 years, and today has over 300 employees. Thales in the UAE is part of our Middle East business that has 1,800 people across Egypt, Iraq, Kuwait, KSA, Lebanon, Oman, Pakistan, Qatar and UAE. Together we delivered technology for the Dubai metro, the longest driverless metro network in the world and a fare collection system that processes up to 250,000 transactions per day. We make UAE a safer place by providing secure electronic payment solutions, cyber security systems and communications as well as security systems for Dubai International Airport and air traffic management and navigation systems for Abu Dhabi&rsquo;s airport.
 <br/>
 <br/>
 Thales AGS Trading is a specialized division within the Thales Group, operating in the aviation aftermarket with a core focus on Used Serviceable Material (USM). AGS Trading aims to deliver a premium service solution, which offers airlines, MROs, and other aviation stakeholders, a cost-effective solution to maintain their fleet in operational condition by selling serviceable high-quality aircraft components for commercial programs.
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 Operating in a fast-paced and competitive trading environment, AGS Trading team leverages data to drive agility, efficiency, and customer satisfaction.
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 This position of Enterprise Data Lead is based in Abu Dhabi, UAE and reports to the General Manager of AGS Trading.
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 The position owner will:
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   Work closely with procurement, supply chain, finance, sales, compliance, and IT, as well as with external vendors and implementation partners.
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   Act as the central point of accountability for the Thales AGS Trading data ecosystem, covering ERP administration, data platforms, data analytics, integrations, and governance:
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    Overseeing of system configuration, user access, and data integrity, while coordinating with ERP vendor technical support to resolve incidents, deploy fixes, and manage upgrades
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    Ensuring smooth change management through UAT, testing, and compliance with internal controls.
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   Engage stakeholders to understand priorities, translate them into scalable solutions, and ensure the timely delivery of reliable insights.
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    Driving cross-functional collaboration to align data initiatives with business outcomes, strengthen governance and data quality.
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    Promotion of continuous improvement through automation, knowledge sharing, and best practices.
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  Roles &amp; Responsibilities:
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   Acting as the strategic owner of enterprise data systems, ensuring all platforms are maintained and evolved in alignment with business requirements. Provide leadership in shaping the overall data ecosystem and driving its continuous improvement.
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   Overseeing ERP administration
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    Manage user access controls, cloud-based system configurations, and data extraction using SQL queries across key modules (Inventory Management, Accounting, Sales, Procurement, Repair, etc.).
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    Build and maintain Event Managers within the ERP that send timely alerts and notifications to relevant users.
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    Build and maintain custom ERP forms (such as Customer Quote, Sales Order Acknowledgment, Purchase Order, Financial Invoice, Custom Invoice etc.) that are actively used by relevant teams during day-to-day operations.
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    Use the Screen Editor tool to apply regulations and field-level controls within ERP that ensure the system interface aligns with business requirements.
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    Verify bulk data accuracy and perform imports into the ERP,
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    Actively collaborate with the Technical Support team to resolve critical issue in a timely manner.
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   Collaboration with internal cross-functional stakeholders to gather business requirements, translate them into data driven solutions that supports operational excellence and strategic goals.
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   Designing, developing, enhancing, and maintenance of:
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    Automated pipelines (using SQL/Python) and workflows to fetch and integrate raw data from multiple sources in real time into various reports and decision-making tools.
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    Dashboards and predictive models that translate complex data into insights, which provide decision-making, cross-functional support.
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   Creation and maintenance of comprehensive documentation, training materials, and structured knowledge repositories to enable smooth adoption of PBI reports and dashboards. Delivery of training sessions and knowledge transfer programs to build capability and ensure business continuity.
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   Leading Procurement Campaigns and FMV Analytics by managing end-to-end campaign activities including launching campaigns, consolidating and cleaning supplier responses, updating dashboard with validated data, and applying advanced analytical model forecast FMV. Import campaign data and FMV outputs into the ERP within relevant modules/fields to ensure seamless integration and visibility for the users.
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   Leading digital transformation and modernization initiatives (AGS Trading Marketplace &amp; Cloud Migration) to improve processes efficiency ensure data security, workflow optimization, and automation.
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   Collaboration with:
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    Trade Compliance, Export Control department and CRM tech support team to ensure full compliance across Trading operations (Company/PN validation and approval).
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    IS/IT Team to safeguard Thales IT policies and regulatory requirements while mitigating risks associated with data integrity and security.
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   Overseeing data quality frameworks by establishing clear processes within ERP ensuring clean and reliable data
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  Education:
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   Bachelor&rsquo;s or master&rsquo;s degree in data science, Computer Science, Engineering, or related field.
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   8&ndash;10 years of professional experience in data engineering, ERP systems, and data analytics.
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  Technical Skills:
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   Languages &amp; Frameworks: Python, SQL, PySpark, DAX
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   Data Engineering: ETL Pipelines, Data Modeling, Data Integration, API (REST/GraphQL), Talend
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   Databases: Oracle, SQL Server
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   Business Intelligence: Power BI, Tableau
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   ERP Systems: Oracle-based ERP (Quantum Control) &ndash; Configuration, Administration, and Integration
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   Cloud Platforms: Microsoft Azure
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   Advanced Analytics: Predictive Modeling, Statistical Analysis, Machine Learning Algorithms
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   Automation &amp; Tools: Power Automate, Event Manager
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   Data Governance: Data Quality Management, Validation Rules
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  Required Skills:
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   Strong understanding of procurement, supply chain, finance, and sales functions
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   Ability to bridge business requirements with technical solutions
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   Excellent stakeholder engagement, communication, and presentation skills
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   Result-oriented mindset with the ability to deliver under pressure and tight deadlines
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   Demonstrated experience working in diverse, cross-functional, and multicultural Team
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   Experience in the aerospace industry or trading domain is an advantage
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 At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!
</div>


Enterprise Data Lead

Skylink Distributions (Pvt.) Ltd

<p>The ideal candidate should have <b>3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems</b>, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.</p><p><b>Key Responsibilities</b></p><p><b>Data Management &amp; Analysis</b></p><ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul><p><b>Data Visualization &amp; Reporting</b></p><ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul><p><b>Leadership &amp; Strategy</b></p><ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul><p><b>Data Engineering &amp; Infrastructure Collaboration</b></p><ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul><p><b>Cross-Functional Collaboration</b></p><ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul><p><b>ERP &amp; Business Intelligence Integration</b></p><ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul><p><b>Required Qualifications</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul><p><b>Core Competencies</b></p><ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Data Science Analyst

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