analytics manager

Wenger & Watson

<div>
 
 
 Key Responsibilities
 
 
 
 
 Business Consulting &amp; Client Relationship Management
 
 
 <ul>
 <li>
 Lead reporting and dashboarding engagements across industries such as
 
 Retail, Airlines, Automotive
 
 , and more.
 </li>
 <li>
 Build and maintain senior-level client relationships, ensuring alignment with business goals and driving account growth.
 </li>
 <li>
 Collaborate with sales and consulting teams to shape solutions for
 
 RFPs and proposals
 
 , including pricing and delivery models.
 </li>
 <li>
 Develop and deliver
 
 impactful presentations
 
 that communicate insights, strategy, and value clearly.
 </li>
 <li>
 Understand client reporting needs and translate them into scalable BI solutions using tools like
 
 Power BI, Tableau, Alteryx, SQL, Excel
 
 , etc.
 </li>
 <li>
 Articulate how
 
 AI/ML and GenAI
 
 can enhance BI capabilities, including automation, personalization, and predictive insights.
 </li>
 <li>
 Stay updated on industry best practices in
 
 reporting, data visualization, and AI for BI
 
 .
 </li>
 </ul>
 
 
 Delivery Management
 
 
 <ul>
 <li>
 Own end-to-end delivery of reporting solutions, from requirement gathering to deployment and support.
 </li>
 <li>
 Ensure timely and high-quality delivery across multiple projects, managing risks and dependencies.
 </li>
 <li>
 Define and track KPIs, ensuring measurable impact and client satisfaction (NPS).
 </li>
 <li>
 Mentor and guide teams in reporting best practices, dashboard design, and data storytelling.
 </li>
 <li>
 Ensure data governance, accuracy, and consistency across reporting platforms.
 </li>
 <li>
 Manage account-level P&amp;L, ensuring profitability and revenue growth.
 </li>
 </ul>
 
 
 The Person: Qualification &amp; Experience
 
 
 <ul>
 <li>
 
 10+ years
 
 of experience in analytics and consulting, with
 
 4+ years
 
 in leadership roles.
 </li>
 <li>
 Proven experience in delivering
 
 reporting and dashboarding solutions
 
 using
 
 Power BI, Tableau, Alteryx, SQL, Excel
 
 , etc.
 </li>
 <li>
 Strong domain expertise in
 
 Retail, Airlines, Automotive
 
 , or similar industries.
 </li>
 <li>
 Basic understanding of
 
 AI/ML techniques
 
 and
 
 GenAI concepts
 
 to support BI innovation.
 </li>
 <li>
 Excellent stakeholder management, including
 
 C-suite engagement
 
 across geographies.
 </li>
 <li>
 Experience in
 
 proposal development, RFP responses, and client presentations
 
 .
 </li>
 <li>
 Strong business acumen with the ability to
 
 quantify and articulate business value
 
 .
 </li>
 <li>
 Exceptional
 
 communication and articulation skills
 
 .
 </li>
 <li>
 Willingness to travel for client engagements.
 </li>
 </ul>
 
 
</div>

Analytics Manager

Yext

<div><div>Yext (NYSE: YEXT) is the leading brand visibility platform, built for a world where discovery and engagement happen everywhere &mdash; across AI search, traditional search, social media, websites, and direct communications. Powered by over 2 billion trusted data points and a suite of integrated products, Yext provides brands the clarity, control, and confidence to perform across digital channels. From real-time insights to AI-driven recommendations and execution at scale, Yext turns a brand's digital presence into a competitive advantage, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a 'Best Place to Work' globally by industry leaders such as Built In, Fortune, and Great Place To Work&reg;!</div>
Yext is seeking a strategic, results-oriented, and hands-on People Analytics Manager to join our People team. This critical role will define the People Team's data strategy, build and scale our analytics capabilities, and provide actionable, executive-ready insights to drive informed business decisions and improve organizational effectiveness. You will act as a primary analytics partner to HR and business leaders, owning projects that span the entire employee lifecycle, from talent acquisition and engagement to retention and compensation equity. We are looking for someone with previous experience in analytics within the people function who is a self-starter, innovative, and detail-oriented 
 
What You'll Do

This role blends strategic partnership, business consulting, and strong technical execution across the People data ecosystem.
<ul>
<li>Business Consultation &amp; Influence: Serve as the primary analytics partner to HR Business Partners (HRBPs), Recruiting, and executive teams, translating complex cross-functional data into compelling narratives that surface risks, inform strategy, and ensure organizational alignment.</li>
<li>Advanced Modeling &amp; Analysis: Develop and apply statistical and predictive models to analyze key trends such as employee attrition, engagement, and performance, resulting in creative and actionable people strategies.</li>
<li>Reporting &amp; Tool Development: Build and maintain reports, data models, and scalable dashboards (primarily using Tableau) that transform complex data into intuitive, decision-ready insights.</li>
<li>Data Infrastructure &amp; Integrity: Partner with the HRIS and Business Systems teams to deploy and support a robust people data warehouse, design governance frameworks, and validate large datasets to ensure data accuracy and consistency across all systems.</li>
<li>Regulatory and Compliance Reporting: Complete all required compliance and regulatory reporting, partnering closely with the Legal and HR Operations teams to ensure data accuracy and timely submission.</li>
</ul>
What You Have
<ul>
<li>Bachelor's degree or similar college-level education required, preferably in Mathematics, Computer Science, Statistics, Data Science, or a business-related degree</li>
<li>3+ years of relevant hands-on analytics experience, including experience building statistical models and translating those insights into actionable recommendations</li>
<li>Proven ability to work collaboratively across different functions</li>
<li>Superior Excel and PowerPoint skills</li>
<li>Hands-on Workday experience (report/dashboard building is a plus)</li>
<li>Minimum of 2 years of experience with Tableau or similar BI tools</li>
<li>Ability to clearly communicate analysis to a variety of audiences, including senior leaders</li>
<li>IT partnering and database management (experience with Snowflake preferred)</li>
<li>Experience with SQL, Python, R, and pulling data from relational databases is a strong plus</li>
<li>Comprehensive understanding of People data and employee lifecycle processes (talent acquisition, talent development, workforce planning, DEI, etc.).</li>
<li>A self-starter capable of managing projects and process changes independently from initiation to completion.</li>
</ul>
#LI-KW1<div>
Yext is committed to building an inclusive and diverse culture where every person is seen, heard, and valued. We believe in equal employment opportunity and welcome employees and applicants of all races, colors, ethnicities, religions, creeds, national origins, ancestries, genetics, sexes, pregnancy or childbirth, sexual orientations, genders (including gender identity or nonbinary or nonconformity and/or status as a trans individual), ages, physical or mental disabilities, citizenships, marital, parental and/or familial status, past, current or prospective service in the uniformed services, or any characteristic protected under applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Yext's policy to provide reasonable accommodations to people with disabilities as required by law. If you have a disability that requires an accommodation in completing this application, interviewing, or participating in the employee selection process, please complete this form. 
 
Security Alert

All legitimate Yext communications come from @yext.com email addresses. Messages from other domains (for example, @yext.team) are not authorized and are likely fraudulent. If you receive a message that seems suspicious, do not share personal information, click on links, or provide payment. Instead, please report the communication to security@yext.com.</div></div>

People Analytics Manager

Remitly

<div>Job Description:
At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money&mdash; we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career&mdash;we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.
About the Role:
The Credit Analytics Manager, will be part of Remitly's lending organization. In this role, you will apply data analytics techniques to drive rapid, rational decision-making for Remitly's Lending product. You will understand internal systems and customize solutions for Lending. You'll contribute to Lending product development while streamlining the experience for good customers by partnering with program and product managers, engineers, analysts, and designers. This is a hybrid role that requires 2-3 days onsite per week at our Arlington, VA location.
You Will:<ul><li>
Become an expert on Remitly's Lending / Fraud data, experience, policy, and regulatory requirements</li><li>
Build a unified understanding of how our data, customer experiences, and goals align</li><li>
Create metrics to balance risk vs. reward, performance of systems and operational effectiveness</li><li>
Collaborate with Lending Product and Business Leaders Compliance to launch new product experiences and continuously improve customer experience</li><li>
Design experiments, read A/B tests, and perform ad hoc analyses</li><li>
Formulate hypotheses, design and evaluate product experiments</li><li>
Generate insights and help define &amp; execute longer term product strategies and roadmaps across multiple product teams</li></ul>
You Have:<ul><li>
7+ yrs in an analyst role or similar full-time, professional experience in risk, fraud, fintech, operations,</li><li>
7+ yrs of experience using SQL for analysis (Python, R, statistical analysis, and modeling a bonus)</li><li>
Must have experience in any type of adversarial analysis such as risk, fraud, trust &amp; safety</li><li>
Experience distilling business problems from discussions, developing hypotheses, building an analytical framework, carrying out an analysis, and writing a clear recommendation</li><li>
Strong data communication skills, including data visualization, technical writing, and business writing</li><li>
Experience finding creative solutions within the constraints of complex systems and policies</li><li>
Foundational statistical knowledge</li><li>
Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience)</li></ul>
Compensation Details. The starting base salary range for this position is typically $128,000 -$145,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
#LI-Hybrid
Our Benefits:<ul><li>
Flexible paid time off</li><li>
Health, dental, and vision + 401k plan with company matching</li><li>
Paid parental, medical, military and family care leave</li><li>
Mental Health &amp; Family Forming Benefits</li><li>
Employee Stock Purchase Plan (ESPP)</li><li>
Continuing education and travel benefits</li></ul>
Our Connected Work Culture: Driving Innovation, Together
At Remitly, we believe that true innovation sparks when we come together. Our &quot;Connected Work Culture&quot; fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.
At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification and expression, marital status, military status or status as an honorably discharge/veteran, pregnancy (including a woman's potential to get pregnant, pregnancy-related conditions, and childbearing), sexual orientation, age (40 and over), national origin, ancestry, citizenship or immigration status, physical, mental, or sensory disability (including the use of a trained dog guide or service animal), HIV/AIDS or hepatitis C status, genetic information, status as an actual or perceived victim of domestic violence, sexual assault, or stalking, or any other protected class as established by law.
Remitly is an E-Verify Employer
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Credit 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

Ford Motor Company

<div>We are seeking a highly motivated and experienced Lead AI Engineer to join our team. This is a hands-on technical leadership role where you will be responsible for designing, developing, and deploying cutting-edge AI/ML solutions specifically tailored for FCSD, our after-sales service operations. You will lead a team of AI engineers, guiding them through the full lifecycle of AI product development, from ideation and prototyping to deployment and continuous improvement. The ideal candidate will possess deep expertise in machine learning, strong programming skills, and a passion for solving complex business problems that directly impact customer experience.</div>
 <div>Basic Qualifications:
<ul><li>Doctorate / Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
</li><li>5+ years of professional experience in Artificial Intelligence, Machine Learning, or Data Science roles.
</li><li>2+ years of experience leading or mentoring a small team of engineers or data scientists.
</li><li>Strong hands-on programming proficiency in Python (including libraries like TensorFlow, PyTorch, scikit-learn, pandas, numpy).
</li><li>Demonstrated experience in designing, building, and deploying machine learning models into production environments.
</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning) and their practical applications.
</li><li>Experience with Natural Language Processing (NLP)/LLM/Gen AI techniques and tools.
</li><li>Experience with cloud platforms (e.g., GCP, AWS, Azure) for AI/ML development and deployment.
</li><li>Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
</li><li>Knowledge of causal inference, reinforcement learning, or optimization techniques.
</li><li>Excellent problem-solving skills and the ability to work independently and as part of a team.
</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
</li></ul>Preferred Qualifications:
<ul><li>Familiarity with after-sales service operations, customer support systems, or automotive industry data.
</li><li>Contributions to open-source projects or a strong portfolio of personal AI/ML projects.</li></ul></div>
 <div>Key Responsibilities:
<ul><li>Technical Leadership:
<ul><li>Lead, mentor, a team of AI engineers, fostering a collaborative and innovative environment.
</li><li>Provide technical guidance and oversight throughout the AI solution development lifecycle.
</li><li>Drive best practices in MLOps, model development, testing, and deployment.
</li><li>Stay abreast of the latest advancements in AI/ML and recommend their application to relevant business challenges.
</li></ul></li><li>Hands-on AI Development:
<ul><li>Design, build, and deploy end-to-end AI/ML models and systems that address critical after-sales service needs.
</li><li>Develop robust, scalable, and production-ready code for AI applications.
</li><li>Perform data exploration, feature engineering, model training, evaluation, and optimization.
</li><li>Integrate AI solutions with existing enterprise systems and data pipelines.
</li></ul></li><li>Strategy &amp; Collaboration:
<ul><li>Collaborate closely with product managers, data scientists, business stakeholders, and IT teams to understand requirements, define project scope, and deliver impactful AI solutions.
</li><li>Translate complex business problems into well-defined AI/ML technical requirements and architectural designs.
</li></ul></li><li>Problem Solving:
<ul><li>Identify opportunities to leverage AI to improve efficiency, reduce costs, and enhance customer satisfaction in after-sales service.
</li><li>Debug and troubleshoot complex AI systems and data issues.</li></ul></li></ul></div>

APT & Co LLP

Daily Tasks<ul><li>&middot; Monitor ad performance (Google Ads, Meta Ads, etc.).</li><li>&middot; Track KPIs for live campaigns (CTR, CPC, ROAS, conversions).</li><li>&middot; Update budget pacing and flag under/overperforming ads.</li><li>&middot; Check website analytics and SEO keyword rankings.</li><li>&middot; Support urgent flyer edits or ad changes for hotels/events.</li></ul>Weekly Tasks<ul><li>&middot; Launch &amp; optimize paid ad campaigns for promotions, openings, or events.</li><li>&middot; Draft and send email or SMS campaigns (aligned with Social Media Strategist).</li><li>Draft email/LinkedIn outreach for corporate prospecting (restaurant/banquets/events).</li><li>&middot; Manage SEO updates for KSG websites (menu updates, seasonal specials, blog copy).</li><li>&middot; Run A/B tests on creatives, headlines, or target audiences.</li><li>&middot; Create reports for banqueting leads generated from ads/outreach.</li><li>&middot; Keep contacts lists organized and updated in Wix (compiling from OpenTable, Toast, TripleSeat and others).</li><li>&middot; Weekly alignment call with Strategist to sync campaigns and content.</li></ul>Monthly Tasks<ul><li>&middot; Develop &amp; maintain a 90-120 day calendar of holidays &amp; events, ensuring maximization of awareness and outreach.</li><li>&middot; Deliver full marketing performance report across all brands (paid + organic).</li><li>&middot; Propose budget shifts based on ROI (e.g., more ad spend on banqueting).</li><li>&middot; Present competitor ad analysis (benchmarking).</li><li>&middot; Update Google Business Profile listings for all hotels/restaurants.</li><li>&middot; Optimize listings on OpenTable, Toast, Yelp, Google, TripAdvisor and any others.</li><li>&middot; Evaluate website conversion funnel &amp; recommend optimizations.</li><li>&middot; Plan 30-day email/SMS marketing calendar.</li></ul>Shared / Joint Responsibilities&middot; Banqueting, Events &amp; Corporate Prospecting:<ul><li>o Build targeted outreach lists (corporate admins &amp; HR teams, local orgs, community groups).</li><li>o Prospect LinkedIn groups, admins, HR contacts, and corporate clubs for catering &amp; banquets.</li><li>o Co-develop outreach campaigns (emails, flyers, social DMs).</li><li>o Review 3-5 competitors monthly for content and ad ideas.</li><li>o Track inquiries and report conversions.</li></ul>&middot; Campaign Coordination:<ul><li>o Strategist ensures storytelling &amp; voice.</li><li>o Marketing Manager ensures paid targeting &amp; ROI.</li><li>o Both collaborate weekly to merge creative + performance.</li></ul>Job Types: Full-time, PermanentPay: &#8377;35,000.00 - &#8377;45,000.00 per monthWork Location: In person

Digital Marketing & Analytics Manager

Barclays

<div>Step into a role of AVP-Fraud Analytics Manager, where you&rsquo;ll take responsibility for client service and operational execution task. You must take responsibility for controlling risk and enhancing controls in connection to your job and areas of responsibility in accordance with rules and regulations. You must follow well defined procedures that may require a range of job routines and make judgement based on practice and previous experience.
To thrive in this role, you&rsquo;ll need some previous experience in:<ul><li> 
Structuring and executing research and analysis into performance of existing strategies whilst ensuring that strategy aligns with Fraud Risk Appetite and keeping stakeholders across all disciplines and functions appropriately informed and updated.</li><li>
Undertake analytical research and data acquisition with the aim of creating strategically important new &lsquo;future state&rsquo; Fraud risk management and decision capability.</li><li>
Take on a segment specialism example Digital/First Party process and for that segment take responsibility for monitoring performance and driving change. Act as an expert within the Fraud Risk Management team for that segment.</li><li>
Communicate analytic results to both technical and non-technical audiences; Presentation of analysis and results to senior management and stakeholder and where necessary deputise for Senior Fraud Risk Managers in their absence.</li><li>
Strengthen stakeholder engagements, understanding their business requirements, translating to actionable data analysis to develop and deliver value added Fraud risk consultation.</li><li>
Build relationship with teams across Strategy &amp; Operations , understand business requirements and agree to policy and strategy for smooth implementation.</li></ul>
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in Noida.

Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities<ul><li>
Identification, collection, extraction of data from various sources, including internal and external sources.</li><li>
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.</li><li>
Development and maintenance of efficient data pipelines for automated data acquisition and processing.</li><li>
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.</li><li>
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.</li><li>
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.</li></ul>
Assistant Vice President Expectations<ul><li>
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.</li><li>
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.</li><li>
Take ownership for managing risk and strengthening controls in relation to the work done.</li><li>
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.</li><li>
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.</li><li>
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.</li><li>
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.</li><li>
Influence or convince stakeholders to achieve outcomes.</li></ul>
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

AVP-Fraud Analytics Manager

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