business insight and analytics manager

Stockland Units

Career Opportunities: Senior Marketing Manager - Insights and analytics (25990) The Opportunity - Help Build Places Where People Love to Live! Are you a strategic thinker with a passion for data and customer experience? Stockland is looking for a Senior Marketing Manager - Insights & Analytics to join our dynamic team. In this pivotal role, you'll help shape how we connect with our customers and make smarter business decisions through data-led insights. What You'll Be Doing Turn Data into Strategy You'll lead the transformation of complex data into clear, actionable insights that inform marketing and customer experience strategies. Influence Business Planning Your insights will guide strategic asset and business planning, support senior leadership decisions, and improve customer journey touchpoints. Own and Evolve Key Tools Take ownership of our Shopper Segmentation Solution and drive integration of new data sources and platforms into our marketing tech stack. Be a Trusted Advisor Partner with Commercial Property and Brand & Communications teams to deliver insights that shape campaigns, customer experience initiatives, and investor communications. What You'll Bring Experience & Skills That Count Tertiary qualifications in marketing, data analytics, commerce or related field 5+ years in a marketing or insights-focused role Strong analytical and commercial acumen Excellent communication and stakeholder engagement skills Knowledge of data privacy legislation and marketing strategy Project management experience and ability to write business requirements The Right Mindset Customer-centric and insight-driven Strategic thinker with sound judgment Comfortable leading change and contributing to high-performing teams Your 'Why' You're driven by the opportunity to make a meaningful impact through data. You thrive on solving complex problems and influencing strategy in a collaborative, fast-paced environment. Why Stockland? At Stockland we are a community delivering outcomes that benefit the community at large. We work collaboratively and inclusively, building strong working relationships. Our portfolio is diverse and so are the opportunities for professional and career development. We are committed to providing our people with broad experiences to build a successful career. Stockland has a strong commitment to achieving the best outcomes through an inclusive and collaborative culture. Our customers come from diverse backgrounds and we want our teams to reflect this. We offer competitive remuneration and benefits. Benefits include free to access or subsidised lifestyle, health, well-being and financial services products. Ready to Make a Difference? Apply now to bring your insights expertise to a role where data meets strategy and customer experience. Apply today - Stockland - a better way to live

Senior Marketing Manager - Insights and analytics

MPLOYIN FZ LLC

About the CompanyOur client is a rapidly growing analytics and consulting firm helping organizations make smarter, data-backed decisions. By blending advanced analytics with strategic consulting, they deliver tailored solutions across industries &mdash; including retail, HR, e-commerce, and supply chain &mdash; turning insights into measurable business growth.They are now seeking a Business Development Manager with experience in Analytics, Management Consulting, or Enterprise Solutions, to drive business expansion and client partnerships in the region.Role OverviewYou will be responsible for identifying business opportunities, managing key client relationships, and driving revenue through consultative sales. The ideal candidate is a strategic thinker who can bridge data, business value, and client needs to deliver impactful solutions.Key Responsibilities<ul><li>Drive new business opportunities in analytics and consulting services.</li><li>Build and maintain relationships with CXOs, HR Directors, and Strategy Heads.</li><li>Understand client challenges and design solution proposals with internal teams.</li><li>Manage the full sales cycle &mdash; from lead generation to negotiation and closure.</li><li>Represent the company at industry events and business forums.</li><li>Keep updated with analytics trends, tools, and technologies to engage clients effectively.</li></ul>Qualifications &amp; Experience<ul><li>Bachelor&rsquo;s degree required; MBA preferred.</li><li>5+ years of sales/BD experience in Analytics or Consulting.</li><li>Proven record in achieving and exceeding revenue goals.</li><li>Strong understanding of data analytics, business intelligence, or transformation solutions.</li><li>Exceptional communication, presentation, and negotiation skills.</li><li>Self-driven, organized, and comfortable working independently.</li></ul>Job Type: Full-time

Business Development Manager – Analytics/ Consulting Domain

Accenture in India

<div>
 
 
 Job Title: Analytics Manager (AVP equivalent)
 
 
 
 
 Resource Level:
 
 Level 7
 
 
 
 Analytics Offering:
 
 Marketing Ops
 
 
 
 Location
 
 : Mumbai/Bangalore/NCR
 
 
 
 Experience Required:
 
 12-18 years
 
 
 
 
 
 
 Detailed responsibilities:
 
 
 
 &bull; Responsible for managing delivery across multiple analytics workstreams such as digital analytics, social media analytics, SEO, consumer insights, reporting and dashboards.
 
 
 &bull; Understand the business, industry context and apply digital and marketing analytics concepts to provide business solutions. Understand functional and technical requirements from the client.
 
 
 &bull; Prepare insights from various digital, marketing and CRM data sources. Present actionable recommendations to senior stakeholders
 
 
 &bull; Lead strategic analytics delivery for clients across the globe. Ensure quality assurance of all work products by team, adherence to delivery timelines and contractual SLAs
 
 
 &bull; Drive value adds to the client by undertaking right projects and measuring impact (uplift in engagement etc)
 
 
 &bull; Manage a team of analysts. Responsible for mentoring, planning career growth for the resources &bull; Establish best project management practices, leverage tools to track tasks and issues.
 
 
 
 
 
 
 Must Haves:
 
 
 
 
 
 
 &bull; Experience in managing analytics delivery and. End to end understanding of analytics lifecycle and experience in Data Management, Business Intelligence, Customer Insights &amp; Reporting with high exposure to international clients (in direct client facing roles)
 
 
 &bull; Experience in Analytics delivery, stakeholder management, project management, demand prioritization, resource allocation and team management.
 
 
 &bull; Strategic thinker with excellent skills in planning, team leadership and client communications.
 
 
 &bull; Strong knowledge and working experience in Marketing Platforms, especially in Analytics
 
 
 &bull; Familiar with data querying and manipulation &ndash; SQL, Big Query &bull;
 
 
 Strong aptitude in working and generating insights from diverse data sources &ndash; digital, social, campaign, CRM, and broader marketing analytics datasets
 
 
 
 
 
 Working knowledge of visualization tools like Tableau / Power BI/Data Studio
 
 
 &bull; Familiarity with offline data, survey, CRM and transaction datasets
 
 
 &bull; Hands on experience in Adobe Analytics
 
 
 &bull; Consumer insights using Kantar Track
 
 
 &bull; Social Media tools like Talkwalker and Hootsuite
 
</div>

Consumer Insights Manager

Kraft Heinz

<div>
 
 Job Description
 
 
 
 We have an excellent opportunity available for an experienced Consumer Insights professional to make a difference at Kraft Heinz.
 
 
 ou&rsquo;ll work in an impactful team- alongside peers, always trying to reach the next level. You&rsquo;ll be reporting into the MEA Marketing Director. Get ready for a lot of exposure to senior internal stakeholders across our Middle East &amp; Africa business.
 
 
 In brief- you will be responsible for the delivery of consumer insights - to drive demand and grow consumption, test innovations of Heinz by putting consumers at the heart of everything we do- generating consumer insight to establish &ldquo;one view of the consumer&rdquo;.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Turn consumer- trend and business performance data into compelling insights- which are actionable &amp; relevant
 </li>
 <li>
 Collaborate with category &amp; marketing teams- agencies &amp; the international insight team to bring one view of the consumer from a range of different data sources to make more informed and consumer led decisions
 </li>
 <li>
 Measure the impact of marketing by tracking brand performance- competitor activity and campaign evaluation
 </li>
 <li>
 Find opportunities to drive further growth in category development &amp; innovation
 </li>
 <li>
 Designing- delivering- and reporting on a range of continuous and ad hoc research e.g. concept &amp; copy tests
 </li>
 <li>
 Manage key supplier relationships for the BU (Nielsen- Kantar- Ipsos)
 </li>
 <li>
 Using syndicated data to answer business needs and drive growth
 </li>
 <li>
 The overall project management insights projects, ensuring impactful results, and supporting the rollout of our Category Insight strategy.
 </li>
 <li>
 Ensure that Insight work is delivered in a timely and efficient manner.
 </li>
 <li>
 Support the marketing category teams, ensuring that research results are turned into insights and meaningful actions.
 </li>
 <li>
 Example of key projects that you will support running consumers understanding, innovation development and validation, brand activation well as performance understanding.
 
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Established track record in consumer insights- interpreting data into meaningful information and actions.
 </li>
 <li>
 Highly proficient consumer researcher displaying a broad &amp; diverse range of knowledge/application skills across the full range of consumer research disciplines (qualitative &amp; quantitative- continuous &amp; ad hoc)
 </li>
 <li>
 Commercially minded- understanding marketing principles and how brands are managed in order to grow
 </li>
 <li>
 Highly numerate with advanced analytical skills &amp; ability to prepare reports and presentations to tight deadlines
 </li>
 <li>
 Ability to Simplify
 </li>
 <li>
 Effective Communicator
 </li>
 <li>
 Strategic thinker
 </li>
 <li>
 Analytical
 </li>
 <li>
 Curious- open- creative
 </li>
 <li>
 Resilience
 </li>
 <li>
 7 years of experience in Research Field.
 
 
 
 </li>
 </ul>
 Location(s)
 
 
 El Tagamoa El Khames Commercial Office
 
 
 
 Kraft Heinz is an Equal Opportunity Employer &ndash; Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes
 
 
 .
 
</div>

Consumer Insights Manager MEA

<div>Line of Service
Advisory
Industry/Sector
FS X-Sector
Specialism
Data, Analytics &amp; AI
Management Level
Manager
Job Description &amp; Summary
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.
 
 
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.
*Why PWC
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 .
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;
Responsibilities:
As a Manager in the Data Engineering practice, you will lead teams and client engagements to design, architect, and deliver enterprise-grade data platforms. You&rsquo;ll drive data modernization initiatives involving data lakes, warehouses, and lakehouses on Azure, AWS, and Databricks. This role demands strategic leadership, hands-on technical depth, and client management experience. Roles &amp; Responsibilities: &middot; Architect and oversee end-to-end data engineering solutions for large-scale enterprise clients. &middot; Design data lakehouse, data warehouse, and data integration frameworks using Azure, Databricks, and other cloud platforms. &middot; Lead teams in building scalable, secure, and high-performing data pipelines. &middot; Define best practices for data governance, lineage, quality, and cost optimization. &middot; Collaborate with client leadership to shape data strategy and modernization roadmaps. &middot; Provide technical mentorship to Senior Associates and Associates. &middot; Manage project delivery, timelines, budgets, and resource allocation. &middot; Stay updated with emerging tools in data engineering and recommend adoption. Skills Required: &middot; 8&ndash;12 years of experience in data engineering with proven leadership in project delivery. &middot; Strong expertise in Azure ecosystem (ADF, Databricks, Synapse, ADLS). &middot; Experience designing and deploying data lakehouse and ETL architectures. &middot; Hands-on knowledge of PySpark, SQL, Python, and cloud data architecture.
&middot; Working knowledge of AWS or GCP data services is a plus. &middot; Strong understanding of data governance, security, and DevOps for data. &middot; Excellent client management, communication, and leadership skills. &middot;
Mandatory skill sets:
Data Engineer/Azure Databricks/Pyspark
Preferred skill sets:
Data Engineer/Azure Databricks/Pyspark
Years of experience required:
8-12 Years
Education qualification:
B.E.(B.Tech)/M.E/M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree, Bachelor Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Data Engineering
Optional Skills
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 {+ 29 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date</div>

IN_Manager – Data Engineering_Data and Analytics_Advisory_Mumbai

American Express

<div>
 
 
 
 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. 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.
 
 
 
 
 
 
 
 The Prospect Direct Mail Analytics team is part of the Analytics, Investments and Marketing Enablement (AIM) team within Global Commercial Services Marketing, American Express. AIM team is responsible for targeting, acquiring, engaging, and retaining commercial customers over online and offline channels and delivering world-class analytics, insights and data products for the Global Commercial Services (GCS) business. In this role, the incumbent will lead the Prospects Direct Mail Analytics team within AIM.&nbsp;
 
 
 
 
 
 
 
 The Manager will own the end-to-end analytics required for executing Commercial Prospects Direct Mail campaigns and would be responsible to profitably drive growth in commercial acquisition and charge volume through the Direct Mail channel. The Manager will be challenged with designing and creating world class prospect marketing analytics solutions by leveraging machine learning and advanced methodologies. The person will be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through acquisitions. The ideal candidate can drive strategic decision making and execute new strategies via advanced analytics, disciplined test &amp; learn, and effective partnership. The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Services business at American Express
 
 
 
 
 
 
 
 
 How will you make an impact in this role?
 
 
 
 
 
 <ul>
 <li>
 
 Drive profitable acquisitions in Direct Mail channel by meeting ROI / Acquisition / Revenue goals with optimization, experimentation and analytics driven insights.
 
 
 </li>
 <li>
 
 Define, Design, Create, and Implement data science &amp; analytical solutions required throughout the life cycle of a Direct Mail campaign starting from lead generation all the way to performance measurement.
 
 
 </li>
 <li>
 
 Collaborate with stakeholders within GCS Prospect marketing, Finance and investment optimization on various initiatives including setting goals for the channel / influencing data-driven strategy changes / introducing offer personalization etc.
 
 
 </li>
 <li>
 
 Researching and evaluating new commercial data sources working with external data vendors to improve data quality.
 
 
 </li>
 <li>
 
 Creating data segmentation &amp; optimization strategies for targeting profitable prospects with the right product/incentive in the Direct Mail channel Translate business problems into Machine Learning problems.
 
 
 </li>
 <li>
 
 Collaborate with Decision Science teams to quantitatively determine the value of ML models, and ensure key insights are leveraged to create the most suitable ML models to solve the business problems.
 
 
 </li>
 <li>
 
 Collaborate with ML and Tech teams to manage, guide and build analytical solutions to improve targeting efficiency in Direct Mail channel.
 
 
 </li>
 </ul>
 
 
 
 
 Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Master&rsquo;s degree in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
 
 
 </li>
 <li>
 
 Demonstrated ability to lead cross-functional teams directly or indirectly to achieve key business outcomes.
 
 
 </li>
 <li>
 
 Strong programming skills are required. Experience with BIG DATA PROGRAMMING LANGUAGES (HIVE, SPARK), PYTHON. Expertise or ability to pick up strong SQL skills.
 
 
 </li>
 <li>
 
 Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results, such as A/B testing analysis.
 
 
 </li>
 <li>
 
 Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings to senior leaders/stakeholders in a succinct and concise manner.
 
 
 </li>
 <li>
 
 Demonstrated ability to work independently and across a matrix organization partnering with capabilities, marketing, decision sciences, risk teams and external vendors to deliver solutions at top speed.
 
 
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 PhD in quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance and Economics) or MBA with quantitative background.
 
 
 </li>
 <li>
 
 Strong knowledge of machine learning techniques, including XGBoost, Decision Trees and NLP models. Knowledge of commercial data experience is a plus.
 
 
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 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:
 
 <ul>
 <li>
 
 Competitive base salaries&nbsp;
 
 </li>
 <li>
 
 Bonus incentives&nbsp;
 
 </li>
 <li>
 
 Support for financial-well-being and retirement&nbsp;
 
 </li>
 <li>
 
 Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)&nbsp;
 
 </li>
 <li>
 
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need&nbsp;
 
 </li>
 <li>
 
 Generous paid parental leave policies (depending on your location)&nbsp;
 
 </li>
 <li>
 
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)&nbsp;
 
 </li>
 <li>
 
 Free and confidential counseling support through our Healthy Minds program&nbsp;
 
 </li>
 <li>
 
 Career development and training opportunities
 
 
 </li>
 </ul>
 
 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. &nbsp;
 
 
 
 
 Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
 
</div>

Manager-Data Analytics

JPMorganChase

<div>JOB DESCRIPTION 
Join us for an exciting opportunity to lead analytics and drive innovation within Chase Travel&rsquo;s Data &amp; Analytics team. 
As a Quant Analytics Manager within the Chase Travel Data &amp; Analytics team, you will collaborate with stakeholders to define measurable goals and develop strategies that elevate product performance and user experience. You will leverage advanced analytics to inform product development, optimize features, and guide investment decisions, contributing to the overall success of Chase Travel.
Job responsibilities<ul><li>
Develop and execute analytics strategy for Chase Travel product lines, ensuring alignment with business goals</li><li>
Partner with product, engineering, and business teams to define and monitor key performance indicators</li><li>
Analyze user behavior, conversion funnels, and product performance to identify growth opportunities</li><li>
Conduct deep-dive analyses and design, implement, and evaluate A/B tests to optimize product features</li><li>
Build and maintain dashboards and reports to communicate product performance to stakeholders</li><li>
Collaborate with cross-functional teams to inform product development and go-to-market strategies</li><li>
Ensure data integrity and consistency across analytics platforms, working with data engineering teams</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Bachelor&rsquo;s degree in statistics, economics, mathematics, or engineering with quantitative research and data analysis</li><li>
Five years of team management experience, including managing team members at different levels</li><li>
Twelve years of experience with strong SQL, Alteryx, and Tableau skills</li><li>
Critical and analytical thinking with strong attention to detail</li><li>
Capable of defining metrics, evaluating results, and drawing business insights</li><li>
Excellent written and verbal communication skills</li><li>
Able to multi-task and prioritize with strong organizational and problem-solving skills</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience presenting findings and recommendations to senior leadership</li><li>
Familiarity with industry trends and competitor benchmarking</li><li>
Exposure to data engineering and infrastructure improvement</li><li>
Experience with data-driven storytelling to support strategic growth initiatives</li></ul>
ABOUT US<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. 
 
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.</div> 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Quant Analytics Manager - SQL, Tableau, Alteryx

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