analytics senior manager

NeoStats

<div><div><div><div><div>Job specification: 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">About the Job</h5>

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.

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. 

<h5 class="jobSectionHeader">
Responsibilities</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">Candidate Profile</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">What we offer:</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">Location &ndash; Dubai (UAE)</h5></div></div></div></div>

Senior Analytics Manager

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

Client of Aventus Global Talent

As Senior Manager Portfolio Data &amp; AI, you will:Lead data, analytics, and AI implementation projects with measurable business impact.Oversee technology transformation initiatives, ensuring projects are delivered on time and within budget.Guide digital engineering and automation initiatives to drive efficiency and scalability.Assess and evaluate emerging technologies, vendors, and solutions to ensure strategic alignment.Translate complex technical concepts into business value for senior stakeholders.Collaborate across functions including portfolio management, finance, strategy, and compliance to enable enterprise-wide adoption of Data &amp; AI solutions.

Senior Manager Data & AI

Wells Enterprises, Inc.

<div>The Senior Analyst, Revenue Growth Management - Innovation, will be responsible for supporting revenue growth initiatives around innovation through data analysis, insights generation, and strategic recommendations the innovation portfolio. Working under the guidance of the Senior Manager, RGM Analytics, this role focuses on analyzing pricing, promotions, and product performance to uncover opportunities that drive profitability and growth for Innovation.
Responsibilities Include:
<ul><li>Analyze complex datasets to identify trends, measure campaign effectiveness, and uncover revenue growth opportunities.
</li><li>Provide data-driven recommendations on PPA, pricing and promotion strategies and optimize revenue and profitability with new innovations.
</li><li>Build and maintain dashboards, reports, and tools to monitor key performance metrics and provide actionable insights to stakeholders post launch.
</li><li>Conduct research on market trends, competitor strategies, industry dynamics, and consumer behavior to support revenue growth initiatives.
</li><li>Work closely with cross-functional teams, including marketing, sales, finance, and supply chain, to align on revenue optimization goals.
</li><li>Identify opportunities to enhance data processes, tools, and methodologies to improve the efficiency and accuracy of analytics.
</li><li>Curious with critical thinking skills. Ability to work independently and with ambiguity.
</li><li>Effective communicator, able to articulate and present recommendations to brand and innovation teams.</li></ul></div>
 <div><ul><li>Bachelor&rsquo;s degree in Business, Economics, Brand Marketing, Statistics, or a related field.
</li><li>5-7 years of experience in analytics, revenue management, brand management or a similar role. Exposure to pricing, promotions, or financial performance analytics is preferred.
</li><li>Understanding of statistical methods and predictive modeling techniques. Knowledge of marketing and financial performance metrics
</li><li>Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or similar platforms.
</li><li>Strong communication skills to present data findings clearly and effectively.
</li><li>Proficiency in Nielsen / IRI data. Familiarity with Numerator, or other panel data is preferred.
</li><li>Consumer Packaged Goods (CPG) experience is preferred. Experience with FMMC is a plus.
</li><li>Detail-oriented with strong problem-solving abilities.
</li><li>Ability to work independently while managing multiple priorities.
</li></ul>Wells Enterprises is an EEO/AA employer M/F/Vet/Dis
The base pay range for this position is $84,648 to $118,507 annually. Actual compensation will be determined based on experience, qualifications, and other job-related factors permitted by law. This pay range represents the anticipated salary for this position at this time.
#Hybrid</div>

Sr Analyst, Revenue Growth Management – Innovation

Accenture

<div>Talent &amp; Organization &ndash; Intelligence &amp; Insights Senior Manager (Custom Analytics)
Looking for a rewarding career with global impact? Then consider Accenture&rsquo;s rapidly expanding Capability Network with approximately 4,000 Management Consulting and Strategy professionals (we like to call them rock stars!) based in a network of prominent locations around the world.
Capability Network Professionals&hellip;.<ul><li>Thrive in a fast-paced, inclusive environment with countless opportunities to learn and grow</li></ul>
Collaborate with diverse organizations on groundbreaking projects<ul><li>Enjoy the camaraderie of working together towards a common goal and forming lasting friendships</li></ul>
If this sounds like the right team for you, we invite you to read on - and visit www.accenture.com/capabilitynetwork.
Position Overview
We are seeking an experienced Senior Manager &ndash; Analytics to lead our Talent and Organization analytics team. This role will redefine the future of organizational capability by harnessing the power of GenAI, fostering a culture of innovation, and architecting solutions that are both cutting-edge and value obsessed. It&rsquo;s not just analytics or consulting, it&rsquo;s organizational reinvention amplified by artificial intelligence. This role will be crucial in developing and implementing data-driven solutions to enhance our clients&rsquo; talent management and organizational effectiveness.
Key Responsibilities
1. Project Delivery
o Oversee the end-to-end delivery of analytical projects, ensuring timely and accurate execution.
o Collaborate with cross-functional teams to integrate analytics solutions with business processes.
o Manage project timelines, resources, and budgets effectively.
2. Client Engagement &amp; Solution Development
o Design and implement advanced analytics solutions to address key talent and organizational challenges.
o Develop data-driven solutions and insights to support areas like Org Culture, Change Management, Operating Model and Organization Design, HR Transformation, Talent Strategy and Skill Analytics.
o Utilize data visualization tools to present findings and recommendations to stakeholders.
3. Strategy &amp; Go-to-Market (GTM)
o Shape and execute the GTM strategy for Talent and Org Analytics and GenAI offerings by identifying market segments, crafting compelling value propositions, and qualifying business opportunities.
o Lead sales origination and business development&mdash;responding to RFPs, developing value cases, and collaborating across solutioning, commercial, and delivery teams.
o Author thought leadership and marketing assets to support GTM outreach and elevate the practice&rsquo;s brand and solutions.
4. Continuous Improvement:
o Stay up to date with industry trends and advancements in analytics and talent management.
o Promote best practices and innovative approaches within the team.
o Identify opportunities to enhance existing processes and methodologies.
5. Team Leadership and Management:
o Lead, mentor, and develop a high-performing team of 10-12 analytics professionals.
o Set clear goals and performance metrics for team members.
o Conduct regular performance reviews and provide constructive feedback.
o Foster a collaborative and innovative team culture.
Education and Experience
Required
o 10 &ndash;12 years in analytics, AI/ML, or talent intelligence&mdash;ideally from consulting or advanced internal analytics leadership roles.
o Strong background in data analysis tools (e.g., SQL, Python, R), data visualization software (e.g., Tableau, Power BI), and generative AI technologies (LLMs, RAG, LangChain, agentic AI).
o Demonstrated success in client-facing delivery, including business development, GTM strategy, and stakeholder communication.
o Proven experience building and mentoring high-performing analytics and AI teams.
o Excellent at translating analytics into strategic business outcomes and executive storytelling.
Preferred
o Advanced degree (e.g., MS, MBA) in Data Science, Analytics, Organizational Development, or related domains.
o Experience within consulting firms or leading GTM-driven analytics practices.
o A thought-leader mindset with contributions to frameworks, internal tools, or innovation programs in GenAI.
Location Requirement
o Bangalore, Gurgaon, Mumbai
Our Commitment to you
o A transparent career path designed for rapid career progression.
o A supportive culture that is serious about training, coaching and continuous learning.
o A global network where only state-of-the-art tools and technologies will do.
o A bighearted environment with opportunities to give back to our local communities.</div>
 
<div>Required
o 10 &ndash;12 years in analytics, AI/ML, or talent intelligence&mdash;ideally from consulting or advanced internal analytics leadership roles.
o Strong background in data analysis tools (e.g., SQL, Python, R), data visualization software (e.g., Tableau, Power BI), and generative AI technologies (LLMs, RAG, LangChain, agentic AI).
o Demonstrated success in client-facing delivery, including business development, GTM strategy, and stakeholder communication.
o Proven experience building and mentoring high-performing analytics and AI teams.
o Excellent at translating analytics into strategic business outcomes and executive storytelling.
Preferred
o Advanced degree (e.g., MS, MBA) in Data Science, Analytics, Organizational Development, or related domains.
o Experience within consulting firms or leading GTM-driven analytics practices.
o A thought-leader mindset with contributions to frameworks, internal tools, or innovation programs in GenA</div>

GN- T&O - Instructional Design Associate

<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

<div>Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics &amp; AI
Management Level
Manager
Job Description &amp; Summary
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.
 
 
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.
*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;
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.
Responsibilities:
&bull; Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. &bull; Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. &bull; Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. &bull; Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. &bull; Ensure compliance with data governance standards and ethical AI practices in all implementations. &bull; Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels. 
 
Mandatory skill sets:
AI/ML, NLP, and Generative AI models,
Preferred skill sets:
Azure, Google Cloud
Years of experience required:
3-5 Years
Education qualification:
Advanced degree (Master&rsquo;s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Machine Learning (ML)
Optional Skills
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}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

IN_Manager_AI/ML Engineer_Data & Analytics_Advisory_PAN India

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