analytics senior manager

American Express

<div><p>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.</p><p></p><p>
As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</p><p></p><p><b>
How will you make an impact in this role?</b></p><p></p><p>
Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future overdues with accounts that have a high exposure.</p><p></p><h1 class="jobSectionHeader"><b>
Senior Manager, Portfolio Analytics, Insights &amp; Governance</b></h1><p></p><p>
Within the Technology Business Enablement (TBE) organization, the Lean Portfolio Management (LPM) team is responsible for aligning investment and execution of enterprise priorities, accelerating strategic alignment and planning across Enterprise Centers of Excellence (COEs), Lines of Business (LOBs), and Technology. By integrating lean principles, LPM elevates transparency, optimizes resource allocation, and drives business and customer outcomes through continuous alignment of strategy, funding, and delivery.</p><p></p><p>
</p><p></p><p>The <b>Senior Manager, Portfolio Analytics, Insights, &amp; Governance</b> enables data-driven decision-making by creating scalable analytics solutions and actionable insights that optimize investment decisions, portfolio performance, and sequencing of enterprise priorities and resources. This role specializes in leveraging planning, delivery, productivity, OKRs, capacity, and funding data to inform investment decisions, strategic planning, and execution. It also champions advanced analytics, AI/ML adoption, and visualization capabilities to drive speed of delivery and enterprise outcomes.</p><p></p><p>
</p><p></p><p>This position reports to the Director, Portfolio Analytics, Insights, and Governance and will be based in Chennai, India.</p><p></p><p>
</p><p></p><p><b>Key Responsibilities:</b></p><p></p><p>
</p><p></p><ul><li><p>Drive execution of the Enterprise Portfolio Insights &amp; Governance strategy to deliver measurable business outcomes, accelerate decision-making, and enable speed and flow of delivery across the portfolio</p></li><p></p><li><p>
Lead development and prioritization of the Enterprise Portfolio Data Insights &amp; Governance reporting &amp; analytics roadmap, ensuring alignment across stakeholders and user personas</p></li><p></p><li><p>
Implement and maintain a robust governance framework for enterprise portfolio data to maintain hygiene, ensure accuracy, and uphold trust in insights, enabling reliable analytics and reporting at scale</p></li><p></p><li><p>
Automate manual and repetitive tasks, including presentations and analytical workflows, to improve efficiency and scalability across TBE, LOBs, Product, and Technology</p></li><p></p><li><p>
Advance integration of AI, ML, BI, and emerging technologies, by delivering practical use cases and promoting industry best practices to mature analytics capabilities</p></li><p></p><li><p>
Translate complex data into compelling narratives and actionable insights, crafting recommendations that inform and influence senior leader decision‑making</p></li><p></p><li><p>
Demonstrate ability to self-start, carving opportunities out of white space and driving results with a high degree of independence</p></li><p></p><li><p>
Excel in a fast-paced environment, adjusting to shifting priorities while maintaining focus on quality and outcomes</p></li></ul><p></p><p>
</p><p></p><p><b>Required Skills &amp; Qualifications:</b></p><p></p><p>
</p><p></p><ul><li><p>Minimum of 5+ years of progressive experience n Data Analytics/Data Science, product development, and engineering teams, with a proven track record of delivering complex, cross‑functional initiatives</p></li><p></p><li><p>
Bachelor&rsquo;s Degree or higher in business, economics, statistics, mathematics, engineering, or a related field</p></li><p></p><li><p>
Expertise in Python, Power BI, Tableau, AI/ML, custom GPTs, data modeling, and advanced Excel, with hands‑on experience applying analytics to business and portfolio decisioning</p></li><p></p><li><p>
Experience working with large language models (e.g., Llama, OpenAI GPT) and applying techniques such as retrieval‑augmented generation (RAG) and vectorization to analytics or decision‑support use cases; familiarity with agentic AI and Graph RAG concepts is a plus</p></li><p></p><li><p>
Advanced user of enterprise collaboration and reporting tools including Jira, Rally, Clarity, Apptio Target Process, Confluence, Tableau, Power BI and Airtable</p></li><p></p><li><p>
Demonstrated success in managing large, complex products or portfolios with multiple stakeholders across product, technology, and business teams</p></li><p></p><li><p>
Highly skilled in Agile product development methodologies, program and project management, with experience contributing to and executing against a product or analytics roadmap</p></li><p></p><li><p>
Exceptional collaboration and thought leadership skills, with a proven track record of partnering effectively across global teams to solve complex problems</p></li><p></p><li><p>
Strong strategic and analytical orientation, combining numerical proficiency with forecasting capabilities and financial acumen to drive business insights and recommendations</p></li><p></p><li><p>
Excellent executive communication skills with the ability to capture and translate insights into a clear story and recommendations to senior audiences</p></li></ul><p></p><p>
</p><p></p><p>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:</p><ul><li><p>
Competitive base salaries</p></li><li><p>
Bonus incentives</p></li><li><p>
Support for financial-well-being and retirement</p></li><li><p>
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)</p></li><li><p>
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need</p></li><li><p>
Generous paid parental leave policies (depending on your location)</p></li><li><p>
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)</p></li><li><p>
Free and confidential counseling support through our Healthy Minds program</p></li><li><p>
Career development and training opportunities</p></li></ul><p>
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.</p><p>
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.</p></div>

Senior Manager - Portfolio Analytics, Insights, & Governance

Amgen

<div><h2 class="jobSectionHeader"><b>Join Amgen&rsquo;s Mission of Serving Patients</b></h2><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><p><b>
CD&amp;A - Senior Manager, Media Analytics</b></p><h2 class="jobSectionHeader"><b>
What you will do</b></h2><p>
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role you will be responsible for delivering analytics and insights to support the Omnichannel Commercial efforts within the US and Global Marketing organizations. This includes supporting quarterly business reviews, monthly reporting with insights, participating in brand campaign development and rollout, as well as ad-hoc analysis.</p><p>
The Senior Manager, Media Analytics will be responsible for developing and implementing digital campaign analytics - including audience analysis, micro-segmentation, digital persona development, omnichannel customer journey development, test-and-learn campaign testing, analytics around content and channel affinity, and optimal sequencing of touchpoints. The successful candidate is a passionate champion of insights driven strategy and objective evidence-based decision making. Using a variety of methodologies, the successful candidate will be combining digital/omnichannel data analysis with a variety of insights from other sources into a story for a brand.</p><p>
This position will report to the Director of Media and Campaign Analytics within the Decision Sciences team of Commercial Data &amp; Analytics (CD&amp;A)<b> </b>group but will work day-to-day (&ldquo;dotted line&rdquo;) with those that own the brand/omnichannel marketing.</p><p><b>
Flexible Commuter role to one of Amgen's offices Deerfield, IL</b> <b>or</b> <b>Thousand Oaks, CA. You will work on-site a minimum of 2-3 days a week.</b></p><ul><li>
Establish cross-functional partnerships with marketing, GCC, PRM and broader analytics teams, to fully understand the brand&rsquo;s strategic objectives and current marketing strategies</li><li>
Provide marketing leadership with an objective and thorough perspective on campaign analytics and performance management and be seen as their go-to team member for performance insights</li><li>
Lead the development of monthly and quarterly reports through the coordination of agency resources, offshore teams and internal partners from GCC, PMR and the broader MIO team</li><li>
Interpret, summarize, and communicate analyses to drive campaign understanding and be the unbiased and objective voice for the brand</li><li>
Collaborate with brand leads to jointly align on analytical priorities that fit with establish strategic imperatives and have the potential to lead to clear and sizable brand performance improvements</li><li>
Develop and deliver analysis using complex data sources including industry syndicated data sources (media measurement and benchmarking), tactical performance data, etc. to generate an integrated, objective, and detailed understanding of brand business and critical metrics</li><li>
Merge objective insights with GCC&rsquo;s industry knowledge and expertise to developing test and learn opportunities and deploy optimizations through modifications to target audiences, publisher selection and creative deployment</li><li>
Optimally leverage the tools and team resources available to maximize output</li></ul><h2 class="jobSectionHeader"><b>
What we expect of you</b></h2><p>
We are all different, yet we all use our unique contributions to serve patients. The media analytics professional we seek is a collaborator with these qualifications.</p><p><b>
Basic Qualifications:</b></p><p>
Doctorate degree and 2 years of forecasting, analytics, sales &amp;/or marketing operations experience</p><p>
OR</p><p>
Master&rsquo;s degree and 4 years of forecasting, analytics, sales &amp;/or marketing operations experience</p><p>
OR</p><p>
Bachelor&rsquo;s degree and 6 years of forecasting, analytics, sales &amp;/or marketing operations experience</p><p>
OR</p><p>
Associate&rsquo;s degree and 10 years of forecasting, analytics, sales &amp;/or marketing operations experience</p><p>
OR</p><p>
High school diploma / GED and 12 years of forecasting, analytics, sales &amp;/or marketing operations experience</p><p><b>
Preferred Qualifications:</b></p><ul><li>
Strong understanding of consumer and HCP omnichannel performance and understanding of gaps and optimization strategies to drive improvements of campaign performance</li><li>
Create omnichannel measurement and tracking plans across the entire consumer journey with recommendations for multiple brands</li><li>
Experience working with measurement around HCP custom programs</li><li>
Deep understanding of measurement framework across the full consumer journey and can create learning plans to effectively measure and understand the relationships between leading and lagging business and media KPIs</li><li>
Ability to translate campaign and analytic results into cogent, compelling, and cohesive insights with actionable commercial recommendations</li><li>
Experience with digital marketing channels (Paid Search or SEM, Organic Search or SEO, Paid Social, Earned Social, Display, Email) is required</li><li>
Ability to think strategically to support key business decisions</li><li>
Ability to work collaboratively in team-based environment across different functional groups</li><li>
Demonstrated analytical skills&mdash;understands the strengths and limitations of different analytical approaches and their findings</li><li>
Excellent oral, written and presentation skills with ability to explain complex concepts and controversial findings clearly to a variety of audiences, including senior management</li><li>
Skilled in handling multiple responsibilities, priorities, tasks and projects simultaneously</li></ul><p><b>
What you can expect of us</b></p><p>
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.</p><p>
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.</p><p>
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:</p><ul><li>
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts</li><li>
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan</li><li>
Stock-based long-term incentives</li><li>
Award-winning time-off plans</li><li>
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.</li></ul><h2 class="jobSectionHeader"><b>
Apply now and make a lasting impact with the Amgen team.</b></h2><h2 class="jobSectionHeader"><b>
careers.amgen.com</b></h2><p>
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</p><h2 class="jobSectionHeader"><b>
Application deadline</b></h2><p>
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.</p><h2 class="jobSectionHeader"><b>
Sponsorship</b></h2><p>
Sponsorship for this role is not guaranteed.</p><p></p><p>
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.</p><p>
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.</p><p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p></div>

CD&A - Senior Manager, Media Analytics

<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>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<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.
</p><p></p><div><div><p><b>Job Description &amp; Summary: </b>A career within&hellip;.
</p></div></div><p></p><div><div><p><b>Responsibilities:
</b></p></div></div><div><div><ul><li><p>Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data &amp; Analytics Services.
</p></li></ul></div><div><ul><li><p>Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access &amp; ingestion, data processing, data integration, data modeling, database design &amp; implementation, data visualization, and advanced analytics.
</p></li></ul></div><div><ul><li><p>Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
</p></li></ul></div><div><ul><li><p>Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
</p></li></ul></div><div><ul><li><p>Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
</p></li></ul></div><div><ul><li><p>Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks
</p></li></ul></div><div><ul><li><p>Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
</p></li></ul></div><div><ul><li><p>Working with other members of the project team to support delivery of additional project components (API interfaces)
</p></li></ul></div><div><ul><li><p>Evaluating the performance and applicability of multiple tools against customer requirements
</p></li></ul></div><div><ul><li><p>Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
</p></li></ul></div><div><ul><li><p>Integrate Databricks with other technologies (Ingestion tools, Visualization tools).
</p></li></ul></div><div><ul><li><p>Proven experience working as a data engineer
</p></li></ul></div><div><ul><li><p>Highly proficient in using the spark framework (python and/or Scala)
</p></li></ul></div><div><ul><li><p>Extensive knowledge of Data Warehousing concepts, strategies , methodologies .
</p></li></ul></div><div><ul><li><p>Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).
</p></li></ul></div><div><ul><li><p>Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics
</p></li></ul></div><div><ul><li><p>Experience in designing and hands-on development in cloud-based analytics solutions.
</p></li></ul></div><div><ul><li><p>Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required .
</p></li></ul></div><div><ul><li><p>Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
</p></li></ul></div><div><ul><li><p>Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
</p></li></ul></div><div><ul><li><p>Thorough understanding of Azure Cloud Infrastructure offerings.
</p></li></ul></div><div><ul><li><p>Strong experience in common data warehouse modelling principles including Kimball.
</p></li></ul></div><div><ul><li><p>Working knowledge of Python is desirable
</p></li></ul></div><div><ul><li><p>Experience developing security models.
</p></li></ul></div><div><ul><li><p>Databricks &amp; Azure Big Data Architecture Certification would be plus
</p></li></ul></div><div><ul><li><p>Must be team oriented with strong collaboration, prioritization, and adaptability skills required
</p></li></ul></div></div><p></p><div><div><p><b>Mandatory skill sets:
</b></p></div></div><div><div><p>Azure Databricks
</p></div></div><p></p><div><div><p><b>Preferred skill sets:
</b></p></div></div><div><div><p>Azure Databricks
</p></div></div><p></p><div><div><p><b>Years of experience </b><b>required </b><b>:
</b></p></div></div><div><div><p>7 -12 Years
</p></div></div><p></p><div><div><p><b>Education qualification:
</b></p></div></div><div><div><p>BE, B.Tech , MCA, M.Tech
</p></div></div><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 Technology, MBA (Master of Business Administration), Bachelor of Engineering
<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>Databricks Platform
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 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><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Manager_Databricks_Data & Analytics_Advisory_PAN India

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
As an Associate on the Product Analytics team, you will deliver actionable insights to product owners and senior leadership that inform prioritization, optimize user journeys, and enhance client experience. You will synthesize product usage data and client feedback into clear narratives, scenario analyses, and forecasts that quantify the expected impact of product changes on user behavior and client outcomes. Your work will enable teams to make confident, data‑driven decisions and measure results against defined objectives.</p><p>
</p><p>The Product Analytics team ensures data is translated into insights that guide product strategy and execution. The team connects product telemetry and stakeholder feedback to business outcomes, embedding key data and observability into decision‑making. We deliver dashboards, analyses, and forward‑looking models that provide visibility into performance and anticipated client impact, supporting strategic alignment across product and business initiatives.</p><p>
</p><p><b>Job responsibilities</b></p><ul><li>
Partner with Product, Business, and Technology to define core product metrics and OKRs; align measurement plans to strategy and roadmap.</li><li>
Deliver actionable insights and recommendations to product owners and senior leadership to inform prioritization, optimize user journeys, and enhance client experience.</li><li>
Manage analytics intake, triage, and status updates; balance quick‑turn requests with strategic initiatives based on business needs.</li><li>
Build scenario analyses and forecasting models to quantify the expected impact of product changes on user behavior, client outcomes, and business performance.</li><li>
Translate complex data into clear narratives, dashboards, and executive‑ready summaries that drive decisions.</li><li>
Define event instrumentation and data capture requirements; optimize analytics and visualization tools to ensure data quality, reliability, and accessibility.</li><li>
Reconcile quantitative usage data with customer feedback and qualitative inputs; document processes and metric definitions to scale analytics across product teams.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Bachelor&rsquo;s degree in Mathematics, Statistics, Computer Science, Economics, Finance, or equivalent experience.</li><li>
Experience in business intelligence, analytics, or data analysis within financial services, fintech, or related industries.</li><li>
Strong SQL, Python, and data modeling skills; ability to work with large, complex data sets and deliver actionable insights.</li><li>
Hands-on experience with cloud data platforms such as Snowflake or Databricks.</li><li>
Proficiency with Tableau and other data visualization tools.</li><li>
Experience with embedded analytics and integrating data from multiple sources and platforms.</li><li>
Strong communication and data storytelling skills; excellent problem-solving, attention to detail, and adaptability.</li></ul><p>
</p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Analytics Solutions Sr Associate

ITWORX

<div><p>Senior Advanced Analytics Engineer | Fulltime</p><div><p><b>
Job Description:</b></p><div><p><b>
Job purpose:</b></p><p>
Understand Business requirements; implement proper data models; data migration and data presentation solutions. Interpret data; analyze results using statistical techniques.</p><p></p><ul><li><b><br>
Key accountabilities and decision ownership:</b></li><li>
Collect and gather data from different sources through different methods</li><li>
Identify and understand the collected data then transform it to the desired format</li><li>
Support testing and fix bugs on a timely manner</li><li>
Implement requirements and design through the development of data pipelines</li><li>
Transfer knowledge to the support team by supporting postproduction bugs fixing</li><li>
Contribute to and assist leads and above in design and data modelling; and propose suggestions</li><li>
Perform data analysis for the purpose of identifying data quality issues and data mapping</li><li>
Develop predictive models that satisfy the business needs</li><li>
Document all tasks</li></ul></div></div><p></p><div><p><b><br>
Job Requirements:</b></p><div><ul><li>
2+years of Advanced Analytics experience</li><li>
Bachelor's degree of computer science or relevant</li><li>
Data modeling</li><li>
Data Architecture</li><li>
Data warehouse
</li><li>Snowflake</li><li>
Data Integration
</li><li>Power BI</li><li>
Informatica CDI &ndash; nice to have</li><li>
Microsoft Fabric &ndash; nice to have</li></ul></div></div><p></p><div><p><b><br>
Equal opportunity:</b></p><p>
All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</p></div></div><p></p>
<br><div><div><div><div>Posted 1 weeks ago</div></div></div><div></div><div><div><div><div><div><ul><li><b>
Job Location</b></li><li>
Egypt</li></ul></div></div><div><div><ul><li><b>
Job Code</b></li><li><b>
2048</b></li></ul></div></div></div></div></div><div><div><div><div><p><b>
Job Overview</b></p></div><div></div><div><div><ul><li>
Experience</li><li>
2+ Years</li></ul></div></div><div></div><div><div><ul><li>
Job Level:</li><li>
Mid Career</li></ul></div></div><div></div><div><div><ul><li>
Education</li><li>
Bachelor's degree of computer science or relevant</li></ul></div></div></div></div></div></div><p></p>

Senior Advanced Analytics Engineer

<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 Associate
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<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.
</p><p></p><div><div><div><div><p><b>Responsibilities:<br>
</b></p></div></div><p></p><div><div><ul><li><p>Business Analyst Responsibilities:
 </p></li></ul></div><div><ul><li><p>- Analyze solutions through the lens of client requirement metrics as well as business domain.
 </p></li></ul></div><div><ul><li><p>- Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business Intelligence solutions.
 </p></li></ul></div><div><ul><li><p>- Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc., to drive key business decisions.
 </p></li></ul></div><div><ul><li><p>- Work with data engineering, machine learning, and software development teams to enable the appropriate capture and storage of key data points.
 </p></li></ul></div><div><ul><li><p>- Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
 </p></li></ul></div><div><ul><li><p>- Execute quantitative analysis that translates data into actionable insights.
 </p></li></ul></div><div><ul><li><p>- Influence new opportunities for business based on internal and external data.
 </p></li></ul></div><div><ul><li><p>Qualifications:
</p></li></ul></div><div><ul><li><p>Minimum of 2+ years of relevant work experience in a Business Analyst, Data Analyst, or similar role.
</p></li></ul></div><div><ul><li><p>Strong analytical and problem-solving skills.
</p></li></ul></div><div><ul><li><p>Proficiency in business analysis tools and methodologies (for BA role).
</p></li></ul></div><div><ul><li><p>Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS (for DA role).
</p></li></ul></div><div><ul><li><p>Experience with data visualization tools such as Tableau, Power BI, or similar.
</p></li></ul></div><div><ul><li><p>Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
</p></li></ul></div><div><ul><li><p>Experience with project management and Agile methodologies is a plus.
</p></li></ul></div></div><div><div><p><b>Mandatory skill sets:<br>
</b></p></div></div><p></p><div><div><p>SQL, Advanced Excel, PowerPoint, and other scripting languages (R, Python, etc.)
</p></div></div><div><div><p><b>Preferred skill sets:<br>
</b></p></div></div><p></p><div><div><p>SQL, Advanced Excel, PowerPoint, and other scripting languages (R, Python, etc.)
</p></div></div><div><div><p><b>Years of experience </b><b>required </b><b>:<br>
</b></p></div></div><p></p><div><div><p>5 -1 0 Years
</p></div></div><div><div><p><b>Education qualification:<br>
</b></p></div></div><p></p><div><div><p>BE, B.Tech , MCA, M.Tech<br>
</p></div></div></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering
<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>Business Requirements Gathering
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN-Senior Associate_Business Analyst_Data & Analytics_Advisory_PAN India

Delivery Hero

<div><b>Company Description</b><p><br>
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.</p><p>
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.</p><p>
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><b><br>
Job Description</b><p><br>
As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.<br>
<br>
As a Senior Analytics Engineer, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.</p><ul><li><p>
Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.</p></li><li><p>
Ensure data is structured to support self-service analytics and business intelligence.</p></li><li><p>
Work closely with data engineers to define data requirements and enhance ETL pipelines.</p></li><li><p>
Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.</p></li><li><p>
Implement and enforce data quality best practices to ensure accuracy and consistency.</p></li><li><p>
Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.</p></li><li><p>
Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.</p></li></ul><b><br>
Qualifications</b><ul><li><p><br>
Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.</p></li><li><p>
Strong proficiency in Python, SQL and experience with dbt for data modeling.</p></li><li><p>
Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, GCP, Redshift).</p></li><li><p>
Familiarity with version control (Git) and CI/CD practices for data workflows.</p></li><li><p>
Understanding of data engineering principles, including ETL/ELT processes.</p></li></ul></div>

Senior Analytics Engineer

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