analytics senior manager

Neo4j

<div><div><div><b>About Neo4j:</b></div>
<div>
<p>Neo4j is the leader in Graph Database &amp; Analytics, helping organizations uncover hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers use Neo4j to gain a deeper understanding of their business and reveal new ways of solving their most pressing problems. Over 84% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe.</p>
<p>
At Neo4j, we&rsquo;re proud to build the technology that powers breakthrough solutions for our customers. These solutions have helped NASA get to Mars two years earlier, broke the Panama Papers for the ICIJ, and are helping Transport for London to cut congestion by 10% and save $750M a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart.</p>
<p>
Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it&rsquo;s accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j&rsquo;s cloud offering and partnerships with leading cloud hyperscalers and ecosystem leaders. Learn more at neo4j.com and follow us on LinkedIn.</p></div><br>
<div></div>
<div><b>Our Vision:</b></div>
<div>
<p>At Neo4j, we have always strived to help the world make sense of data.</p>
<p>
As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we&rsquo;re disrupting how organizations leverage their data to innovate and stay competitive.</p>
</div></div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3>
<p>
Reporting to the Head of Digital, the Web Strategy &amp; Analytics Senior Manager will lead Neo4j&rsquo;s web strategy and execution across a global digital ecosystem. This critical role blends strategic vision with analytical precision and strong stakeholder management to ensure Neo4j&rsquo;s web presence delivers a cohesive, high-performing experience that advances brand, engagement, and conversion goals.</p>
<p>
You will define and drive the web strategy, leveraging data-driven insights and cross-functional collaboration to evolve our website into a dynamic growth engine. The ideal candidate is both strategic and hands-on, with expertise spanning digital strategy, analytics, UX optimization, and project execution.</p>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3>
<h4 class="jobSectionHeader"><b>1. Web Strategy &amp; Stakeholder Management ( 40%)</b></h4>
<ul><li>Develop and own the overarching <b>web strategy</b> that aligns with Neo4j&rsquo;s marketing and business goals &mdash; encompassing web architecture, navigation, content structure, and UX best practices.<br>
</li>
Ensure consistency and continuity in design, layout, and messaging across all pages and regions.<br>
<li>
</li>
<li>Conduct <b>competitive analysis</b> to identify emerging digital trends, innovative approaches, and opportunities to enhance our online presence.<br>
</li>
Partner cross-functionally with Product Marketing, Content, Design, Operations, and Regional Marketing to align web priorities with business objectives.<br>
<li>
</li>
Present strategy and results to stakeholders and leadership, using data to articulate rationale, performance, and recommendations.<br>
<li>
</li>
Serve as the key liaison between digital, marketing, and product teams, balancing business needs, brand integrity, and user experience.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>2. Web Analytics &amp; Performance Optimization ( 25%)</b></h4>
Leverage web analytics tools (e.g., Google Analytics, Looker, Data Studio) to monitor site performance, engagement, and conversion across key pages and funnels.<br>
<ul><li>
</li>
<li>Analyze <b>user journeys, engagement patterns, and conversion metrics</b> to inform decision-making and continuously optimize the site.<br>
</li>
Partner with analytics and content teams to establish KPIs for traffic, engagement, and conversion, and report on progress through regular dashboards and presentations.<br>
<li>
</li>
<li>Evaluate <b>page and campaign launches</b> using quantitative (heat maps, click maps, funnel analysis) and qualitative (feedback, session recordings) insights to improve performance over time.<br>
</li>
Translate findings into actionable recommendations to enhance UX and business impact.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>3. A/B Testing &amp; Optimization Roadmap ( 15%)</b></h4>
<ul><li>Develop and execute a <b>test-and-learn agenda</b> focused on improving traffic quality, engagement, and conversion rates.<br>
</li>
<li>Design and oversee <b>A/B and multivariate testing</b> initiatives &mdash; from hypothesis to experiment design, execution, and insights.<br>
</li>
Partner with analytics and UX to prioritize tests that deliver measurable impact and contribute to a culture of continuous optimization.<br>
<li>
</li>
Document learnings and socialize best practices across teams to inform broader digital and marketing efforts.<br>
<li>
</li>
</ul><h4 class="jobSectionHeader"><b>4. Project Management &amp; Execution ( 20%)</b></h4>
Lead end-to-end management of web-related projects and initiatives &mdash; from intake and planning to execution and launch.<br>
<ul><li>
</li>
Oversee project pipelines, ensuring all stakeholders provide necessary inputs, assets, and approvals.<br>
<li>
</li>
Manage timelines, scope, and deliverables, maintaining transparency through effective communication and project documentation.<br>
<li>
</li>
Ensure alignment across multiple workstreams, tracking progress and proactively resolving blockers.<br>
<li>
</li>
Champion operational excellence within the digital team by optimizing workflows and standardizing processes.<br>
<li>
</li>
</ul><h3 class="jobSectionHeader"><b>Who You Are</b></h3>
<ul><li>7+ years of experience in <b>web, digital marketing, or product management</b>, ideally within a B2B or SaaS environment.<br>
</li>
<li>Proven ability to <b>develop strategy and lead cross-functional alignment</b> for complex digital ecosystems.<br>
</li>
<li>Deep understanding of <b>web analytics and performance optimization</b>; fluent in GA4, tag management, dashboards, and conversion tracking.<br>
</li>
<li>Strong familiarity with <b>A/B testing tools</b> (e.g., Optimizely, Google Optimize, VWO) and SEO/SEM principles.<br>
</li>
Excellent communicator with the ability to translate data and strategy into clear, persuasive narratives.<br>
<li>
</li>
Highly organized project manager experienced in agile workflows and tools like Asana or Jira.<br>
<li>
</li>
Passionate about staying current with digital, UX, and web technology trends.<br>
<li>
</li>
<li>Entrepreneurial mindset with a bias for action, capable of managing multiple priorities in a fast-paced environment.</li>
</ul></div><div><div><div><div><p>
The annual base salary range for this position based in the United States is listed below. This salary range is an estimate, and the actual salary may vary based on Neo4j&rsquo;s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range.</p>
<p>
In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company&rsquo;s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence.</p></div></div><div><b>
Annual Base Salary Range for This Role</b></div><div>
$150,000 - $160,000 USD</div></div></div><div><div><b>
Why Join Neo4j?</b></div>
<div>
<p>Neo4j is, without question, the most popular graph database in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.</p>
<ul>
<li>Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.</li>
<li>Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.</li>
<li>84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.</li>
<li>Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.</li>
<li>Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.</li>
<li>A recent Forrester Total Economic Impact&trade; Study cited Neo4j as delivering 417% ROI to customers.</li>
<li>Neo4j was named as a Visionary in the 2023 Gartner&reg; Magic Quadrant&trade; for Cloud Database Management Systems among 19 other recognized global DBMS vendors. Neo4j was also ranked as a Strong Performer among 14 top vendors in The Forrester Wave&trade;: Vector Databases, Q3 2024.</li>
</ul>
<p>Research shows that members of underrepresented communities are less likely to apply for jobs when they don&rsquo;t meet all the qualifications. <b>If this is part of the reason you hesitate to apply, we&rsquo;d encourage you to reconsider and give us the opportunity to review your application. </b>At Neo4j, we are committed to building awareness and helping to improve these issues.</p>
<p>
One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.</p>
</div>
<div><b>Neo4j Values:</b></div>
<div>
<p>Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:</p>
<p>
(we)-[:VALUE]-&gt;(relationships)<br>
(we)-[:FOCUS_ON]-&gt;(userSuccess)<br>
(we)-[:THRIVE_IN]-&gt;(:Culture {type: [&lsquo;Open&rsquo;, &lsquo;Inclusive&rsquo;]})<br>
(we)-[:ASSUME]-&gt;(:Intent {direction:&rsquo;Positive&rsquo;})<br>
(we)-[:WELCOME]-&gt;(:Discussions {nature: &lsquo;IntellectuallyHonest&rsquo;})<br>
(we)-[:DELIVER_ON]-&gt;(ourCommitments)</p>
<p>
Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.</p></div></div></div>

Web Strategy & Analytics Senior Manager

NeoStats

<div><div><div><div><div><b>Job specification: </b>As a Senior Analytics Manager you will be at the forefront of driving data-driven decision-making across the organization.
</div></div></div></div><div><div><h5 class="jobSectionHeader"><b>About the Job</b></h5>
<p>
NeoStats is a new age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.</p>
<p>
We believe in driving innovation through cutting-edge technologies and insights. Our diverse team of data scientists, engineers, and analysts collaborate closely to deliver high-impact solutions to our clients&rsquo; most complex challenges. As a Senior Analytics Manager, you will be at the forefront of driving data-driven decision-making across the organization and building advanced machine learning models that power our transformative solutions.</p><br>
<p></p>
<h5 class="jobSectionHeader"><b>
Responsibilities</b></h5>
<ul><li>Work with stakeholders throughout the organization to understand challenges, identify opportunities to make data-driven banking solutions.</li>
<li>Perform in-depth analysis of large-scale structured and unstructured datasets to identify patterns, trends, and correlations.</li>
<li>Drive business decision-making and optimize key performance indicators.</li>
<li>Conduct exploratory data analysis and hypothesis testing to gain deep insights into various analysis areas like customer behavior, market dynamics, operational efficiency, etc.</li>
<li>Design and develop advanced machine learning models, algorithms, and statistical methodologies to increase and optimize customer experiences, revenue generation using cross/up-sell products, and other business outcomes.</li>
<li>Analyze and optimize Digital Journeys and provide insights.</li>
<li>Build scalable and efficient machine learning pipelines to preprocess, transform, and analyze data for model development.</li>
<li>Deploy machine learning models into production in collaboration with relative Engineers.</li>
<li>Conduct research and experimentation to enhance existing models and drive innovation within the organization.</li>
<li>Fostering a collaborative and knowledge-sharing culture within the team.</li>
<li>Collaborate closely with cross-functional teams and business stakeholders, to understand their requirements.</li>
</ul><div></div><h5 class="jobSectionHeader"><b>Candidate Profile</b></h5>
<ul><li>10+ years of Banking experience in a data science role, with a focus on building and deploying machine learning models and algorithms.</li>
<li>Bachelor&rsquo;s or master&rsquo;s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math.</li>
<li>Proficiency in SQL and Python; familiarity with SAS, Scala, or Spark is a plus.</li>
<li>Strong understanding of statistical concepts and methodologies and demonstrated experience in applying machine learning techniques.</li>
<li>Excellent problem-solving skills.</li>
<li>Experience with any major Cloud provider (e.g., Azure, GCP, AWS, etc.) is a plus.</li>
<li>Excellent communication &amp; collaboration skills, and fluency in English.</li>
</ul><div></div><h5 class="jobSectionHeader"><b>What we offer:</b></h5>
<ul><li>Competitive Salary and Benefits</li>
<li>Opportunity to be part of a fast-paced and growing startup. Grow your career with the company</li>
<li>Ownership &ndash; You will own your initiative and be given specific responsibilities</li>
<li>Continuous coaching &amp; mentoring &ndash; You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.</li>
<li>Dynamic and respectful work environment &ndash; we truly value you</li>
</ul><div><h5 class="jobSectionHeader"><b>Location &ndash; Dubai (UAE)</b></h5></div></div></div></div>

Senior Analytics Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Senior Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
<br>
<br>
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
<p></p><p>*Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
</p><p></p><p>Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
</p><p></p><p>Responsibilities:
</p><p>Experience &ndash; 8+ Years Job Description &middot; Lead design and development of scalable backend systems using Node.js &middot; Architect and implement RESTful APIs and microservices for enterprise applications &middot; Evaluate and integrate Node.js frameworks and libraries for optimal performance &middot; Collaborate with front-end, DevOps, and QA teams to deliver full-stack solutions &middot; Translate business requirements into technical specifications and development plans &middot; Ensure code quality, security, and performance through best practices and reviews &middot; Mentor junior developers and contribute to internal capability building &middot; Drive client workshops, technical assessments, and solution roadmaps Ways to Stand Out &middot; Ability to simplify backend architecture for cross-functional stakeholders &middot; Experience in deploying Node.js applications on cloud-native platforms &middot; Strong debugging and performance optimization skills &middot; Comfortable working in agile environments and adapting to changing priorities
</p><p></p><p>Mandatory skill sets:
</p><p>&middot; Deep expertise in Node.js fundamentals, asynchronous programming, and event-driven architecture &middot; Hands-on experience with Express.js, NestJS, or similar frameworks &middot; Strong understanding of RESTful API design, authentication, and versioning &middot; Experience with microservices architecture and containerization (Docker, Kubernetes) &middot; Proficiency in integrating third-party libraries, SDKs, and middleware &middot; Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, GCP)
</p><p></p><p>Preferred skill sets:
</p><p>&middot; Exposure to GraphQL, WebSockets, or serverless functions &middot; Experience with NoSQL databases (MongoDB, Redis) and ORM tools &middot; Certifications in cloud or backend development technologies &middot; Strong communication and stakeholder engagement skills &middot; Experience in proposal development, reusable asset creation, and practice growth
</p><p></p><p>Years of experience required:
</p><p>8+ years
</p><p></p><p>Education qualification:
</p><p>BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Node.js
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 32 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Senior Manager_Node js_Data Analytics_Advisory_Bangalore

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>10/24/2025</p>
</div><div><p>Description</p>
<div>Senior Manager, Data Analysis (Payments)<p>
At Capital One, data is at the center of everything we do. When we were a tiny startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and that little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it&rsquo;s still led by its founder. Be ready to join a community where you put the customer first and want to use your data skills to make a difference.</p><p>
Capital One&rsquo;s Audit Analytics and Innovation Team is driving the transformation of how we work in internal audit with data &amp; technology. We define the roadmap for the department&rsquo;s overall data powered assurance strategy, maintain a well managed data environment, design new early stage products and services, and accelerate audit delivery through innovative methods and technologies.</p><p>
The Analytics and Innovation team is a diverse, highly engaged, collaborative, cross-functional organization made up of data analysts and scientists, business analysts and auditors, who collaborate to design analytical solutions that will reinvent how we review the risk environment, enhance our coverage assurance, and increase our capacity efficiency.</p><p><br>
Data Analysts play a critical role in achieving our strategy. As a data analytics Senior Manager in the team, you will apply your analytical and technical skills to influence a large array of impact areas; to drive our Audit Analytics driven assurance delivery, lead well managed Data Management function and influence our data powered innovation vision through automation and product development. You and your team will also drive audit assurance activities by diving deep into a line of business within our Enterprise, using data exploration and analytics to creatively seek out unidentified areas of risk.<br>
</p><p><b>What you&rsquo;ll do:</b></p><ul><li>
Lead your team in audit delivery assurance for Payment Network line of business, engaging with auditors, senior audit engagement owners and leadership to develop a robust analytics testing strategy</li><li>
Lead the efforts to create a well managed data environment for Audit data</li><li>
Partnering with data-focused product and reporting teams to establish and execute plans to remediate data management policy violations</li><li>
Independently researching, identifying, and prototyping industry best practices for emerging data trends with a goal of preventing data issues</li><li>
Influence our agenda for automation and product development and guide a team of analysts to identify opportunities for automating manual tasks and drive enhanced assurance</li><li>
Help build self service and automation solutions leveraging front end and back end technology stack including Python, Flask, Dash and RPA bots.</li><li>
Manage multiple projects and challenging priorities with consistency and transparency, while successfully knowing which projects and components of the roadmap to tackle first</li><li>
Regularly present and communicate findings to senior leadership in a clear and compelling way. Lead discussions that help inform decision-making across the business</li><li>
Develop analytical frameworks to proactively or reactively solve business problems, create insights, perform detailed analyses, design and measure experiments, develop customer/product segmentations, forecast key KPIs, and utilize models for various business objectives</li></ul><p>
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams</p><p><b>
Basic Qualifications</b></p><ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 5 years of experience performing professional data analysis work</li><li>
At least 5 years of experience leading and developing with open source data technologies</li><li>
At least 2 years of experience managing people</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field</li><li>
Experience with payments or networks data</li><li>
At least 7 years of experience in statistical or econometrics hands-on work</li><li>
At least 5 years of experience manipulating and performing analysis with large data sets</li><li>
At least 5 years of experience in financial services industry</li><li>
At least 5 years of experience in developing statistical or econometric models</li><li>
At least 5 years of experience in validating statistical or econometric models</li><li>
At least 2 years of experience with data governance</li><li>
At least 2 years of experience with predictive analytics</li></ul><p></p><p><b><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager<br>
<p></p>
Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager<br>
<p></p>
New York, NY: $210,500 - $240,300 for Sr. Data Analysis Manager<br>
<p></p>
Riverwoods, IL: $175,500 - $200,300 for Sr. Data Analysis Manager<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Manager, Data Analysis (Payments)<p>
At Capital One, data is at the center of everything we do. When we were a tiny startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and that little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. Twenty-five years after Capital One was started it&rsquo;s still led by its founder. Be ready to join a community where you put the customer first and want to use your data skills to make a difference.</p><p>
Capital One&rsquo;s Audit Analytics and Innovation Team is driving the transformation of how we work in internal audit with data &amp; technology. We define the roadmap for the department&rsquo;s overall data powered assurance strategy, maintain a well managed data environment, design new early stage products and services, and accelerate audit delivery through innovative methods and technologies.</p><p>
The Analytics and Innovation team is a diverse, highly engaged, collaborative, cross-functional organization made up of data analysts and scientists, business analysts and auditors, who collaborate to design analytical solutions that will reinvent how we review the risk environment, enhance our coverage assurance, and increase our capacity efficiency.</p><p><br>
Data Analysts play a critical role in achieving our strategy. As a data analytics Senior Manager in the team, you will apply your analytical and technical skills to influence a large array of impact areas; to drive our Audit Analytics driven assurance delivery, lead well managed Data Management function and influence our data powered innovation vision through automation and product development. You and your team will also drive audit assurance activities by diving deep into a line of business within our Enterprise, using data exploration and analytics to creatively seek out unidentified areas of risk.<br>
</p><p><b>What you&rsquo;ll do:</b></p><ul><li>
Lead your team in audit delivery assurance for Payment Network line of business, engaging with auditors, senior audit engagement owners and leadership to develop a robust analytics testing strategy</li><li>
Lead the efforts to create a well managed data environment for Audit data</li><li>
Partnering with data-focused product and reporting teams to establish and execute plans to remediate data management policy violations</li><li>
Independently researching, identifying, and prototyping industry best practices for emerging data trends with a goal of preventing data issues</li><li>
Influence our agenda for automation and product development and guide a team of analysts to identify opportunities for automating manual tasks and drive enhanced assurance</li><li>
Help build self service and automation solutions leveraging front end and back end technology stack including Python, Flask, Dash and RPA bots.</li><li>
Manage multiple projects and challenging priorities with consistency and transparency, while successfully knowing which projects and components of the roadmap to tackle first</li><li>
Regularly present and communicate findings to senior leadership in a clear and compelling way. Lead discussions that help inform decision-making across the business</li><li>
Develop analytical frameworks to proactively or reactively solve business problems, create insights, perform detailed analyses, design and measure experiments, develop customer/product segmentations, forecast key KPIs, and utilize models for various business objectives</li></ul><p>
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams</p><p><b>
Basic Qualifications</b></p><ul><li>
Currently has, or is in the process of obtaining a Bachelor&rsquo;s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master&rsquo;s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.</li><li>
At least 5 years of experience performing professional data analysis work</li><li>
At least 5 years of experience leading and developing with open source data technologies</li><li>
At least 2 years of experience managing people</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field</li><li>
Experience with payments or networks data</li><li>
At least 7 years of experience in statistical or econometrics hands-on work</li><li>
At least 5 years of experience manipulating and performing analysis with large data sets</li><li>
At least 5 years of experience in financial services industry</li><li>
At least 5 years of experience in developing statistical or econometric models</li><li>
At least 5 years of experience in validating statistical or econometric models</li><li>
At least 2 years of experience with data governance</li><li>
At least 2 years of experience with predictive analytics</li></ul><p></p><p><b><br>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $193,000 - $220,300 for Sr. Data Analysis Manager<br>
<p></p>
Richmond, VA: $175,500 - $200,300 for Sr. Data Analysis Manager<br>
<p></p>
New York, NY: $210,500 - $240,300 for Sr. Data Analysis Manager<br>
<p></p>
Riverwoods, IL: $175,500 - $200,300 for Sr. Data Analysis Manager<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
193,000.00 - 220,300.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Manager, Data Analysis (Payments)

Unilever

<div><p>Job Title: Assistant iQ Analytics Manager</p><p>
Location: Mumbai HO</p><p>
Reporting to: COE Manager- iQ &amp; Assortment</p><p></p><div>
About The Role<br>
Assistant iQ Analytics Manager is a role where you would enable senior leadership decision making by identifying the key drivers of KPIs by building causal models and scale successful models both in design and on ground execution. You would execute deep, complex quantitative analyses that translate data into actionable insights. You will be supporting projects under development that can improve the performance of the KPIs.<br>
<br>
What You&rsquo;ll Do<br>
You will deep dive into assessment of key drivers for KPIs by drawing relevant business hypothesis and quantify the impact of these drivers on the relevant KPI<br>
<br>
You will be responsible for defining and improving key metrics and communicating business trends to leadership<br>
<br>
You will be working closely with the business/product teams to enable data driven decision making.<br>
<br>
You are required to think at scale and integrate solutions into product systems<br>
<br>
What You&rsquo;ll Need<br>
Educational/ Work ex:<br>
<ul><li>Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute</li><li>5+ Years of experience in a relevant role</li></ul><br>
Required Abilities / Competencies<br>
<ul><li>Ability to think on scale and apply the right analytical/ statistical solve</li><li>Ability to identify new opportunities for business based on internal/ external data</li><li>Ability to identify and enable adoption of innovative solutions to business problems</li><li>Ability to trade-off between different approaches/ metrics to arrive at optimal solutions</li><li>Strong organizational, communication, presentation and project management skills</li><li>Ability to course correct and deliver in a changing business environment</li><li>Exceptional written and verbal communication skills</li><li>Ability to perform gracefully in a multitasking project environment with attention to detail</li></ul><br>
Technical capabilities:<br>
<ul><li>Proficient in SQL, Python, Excel</li><li>Strong background in statistical modelling, machine learning, AI.</li></ul>
High expertise in building machine learning models.<br>
<ul><li>Good to have working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio,etc)</li></ul></div></div>

Assistant iQ Analytics Manager

Huda Beauty

<div><p><b>Who We Are: </b>At Huda Beauty, our Vision is to lead in creating a democratized beauty industry where power is given back to people to define, create, and enjoy beauty for themselves! Launched by award-winning beauty powerhouse Huda Kattan in 2013, Huda Beauty is one of the world&rsquo;s fastest-growing beauty brands. As a company, we are fueled by purpose and not profit; this allows us to approach things differently so that we can create products, content, and a community like no other. A lot has changed since our launch in 2013, but something that will forever remain at the core of Huda Beauty is our focus on business excellence and our unwavering passion for kindness!</p><p></p><p><b>
Summary:</b> The Senior Manager, Social Media Analytics leads the social analytics function, overseeing the performance measurement of all social media activities and delivering strategic insights that drive engagement, brand equity, and business impact.</p><p>
This role combines deep analytical expertise with a strong understanding of social trends, platform algorithms, and content performance. You will manage a team of analysts and collaborate cross-functionally with Social Strategy, Paid Media, Creative, Influencer, and Brand Marketing teams to influence decision-making and shape content strategy through data.</p><p></p><p><b>
Essential Duties and Responsibilities</b>:</p><p><b>
Analytics Strategy &amp; Leadership</b></p><ul>
<li>
Lead the development and execution of the social analytics roadmap.</li>
<li>Manage and mentor a team of analysts, fostering a culture of data-driven decision-making.</li>
<li>Act as the primary analytics partner to senior leadership across Social, Brand, and Paid Media.</li>
</ul><p></p><p><b>
Data Analysis and Reporting</b></p><ul>
<li>
Oversee the creation of dashboards and reports that consolidate data from multiple platforms.</li>
<li>Deliver recurring (weekly, monthly, campaign-based) performance reports with actionable insights.</li>
<li>Translate data into strategic recommendations that influence content, media, and brand decisions.</li>
</ul><p></p><p><b>
Social Listening and Competitive Intelligence</b></p><ul>
<li>
Lead social listening efforts using tools like Sprinklr, Dash Hudson, or Brandwatch.</li>
<li>Identify emerging trends, competitive shifts, and cultural moments that inform brand activation.</li>
<li>Conduct benchmark analysis against competitors and industry leaders.</li>
</ul><p></p><p><b>
Campaign Evaluation</b></p><ul>
<li>
Define success metrics in partnership with social and paid teams.</li>
<li>Evaluate campaign effectiveness and recommend optimizations to improve ROI.</li>
<li>Integrate organic and paid performance data for unified measurement.</li>
</ul><p></p><p><b>
Audience Insights</b></p><ul>
<li>
Develop audience profiles using behavioral, demographic, and psychographic data.</li>
<li>Identify new segments and opportunities for targeted engagement.</li>
<li>Provide insights to inform influencer strategy, creative direction, and platform prioritization.</li>
</ul><p></p><p><b>
Cross-Functional Collaboration</b></p><ul>
<li>
Present insights to senior stakeholders and guide teams in applying data to creative and strategic decisions.</li>
<li>Collaborate with Brand, Creative, E-commerce, and PR to ensure alignment on KPIs and reporting.</li>
<li>Champion a data-first culture across the marketing and social ecosystem.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Bachelor&rsquo;s degree in Marketing, Communications, Business, Data Analytics, or related field.</li></ul><ul>
<li>8+ years of experience in social media analytics or digital insights, with at least 2 years in a leadership role.</li>
<li>Proficiency in analytics platforms (e.g., Power BI).</li>
<li>Advanced Excel and data visualization skills.</li>
<li>Strong understanding of platform algorithms, engagement metrics, and KPIs.</li>
<li>Excellent analytical, presentation, and communication skills.</li>
<li>Proven ability to translate complex data into clear, actionable insights.</li>
<li>Experience working in a fast-paced, cross-functional environment.</li>
</ul><p><b>
Benefits</b></p><ul>
<li>
Monthly &ldquo;Self Love Days&rdquo; &ndash; at company discretion</li>
<li>Premium Medical/Dental/Vision coverage for employee plus dependents</li>
<li>Monthly coaching sessions with our in-house Success Coach</li>
<li>Employee discounts on all Huda Beauty products</li>
<li>Quarterly product gifting</li>
</ul><p></p><p><i>
Huda Beauty is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</i></p></div>

Senior Manager, Social Media Analytics

Shamal Holding

<p>As Shamal Holding continues to grow, we re in search of a <strong>Senior Manager   Data and Analytics</strong>. 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.</p>

<p><strong>Responsibilities</strong></p>

<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>

<p><strong> IT Management and Governance:</strong></p>

<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 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>

<p><strong>IT Operations: </strong></p>

<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 s infrastructure.</li>
</ul>

<p><strong>Data Architecture:</strong></p>

<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>

<p><strong>IT Security: </strong></p>

<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>

<p><strong>Data Management:</strong></p>

<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>

<p><strong> People Management Responsibilities:</strong></p>

<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 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>

Senior Manager - Data & Analytics

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