advanced analytics associate

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Join our dynamic team as a Quantitative Analytics Associate on the Consumer and Community Banking Fraud Prevention Optimization Strategy team. This role offers a chance to reduce fraud costs and enhance customer experience through complex analyses and collaboration. You'll engage with cross-functional partners, presenting insights to promote impactful business improvements while protecting the bank.</p><p>
</p><p><b>Job Summary</b></p><p>
As a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team, you will focus on reducing the cost of fraud through complex analyses combined with business insights and collaboration. You will work towards reducing losses and operating expenses while balancing customer impact by optimizing business processes and decision-making. You will frequently interact and communicate with cross-functional partners and present complex analysis succinctly to managers and executives. This role provides an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, impactful business improvements.</p><p><b>
Job Responsibilities
</b></p><ul><li>Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.</li><li>
Use advanced analytical &amp; mathematical techniques to solve complex business problems.
</li><li>Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle.
</li><li>Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.</li><li>
Provide key data insights and performance to business partners.</li><li>
Collaborate with cross-functional partners to solve key business challenges.</li><li>
Assist team efforts in the critical projects while providing clear/concise oral and written communication across various functions and levels.</li><li>
Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li>Bachelor&rsquo;s degree in a quantitative field or 3 years risk management or other quantitative experience</li><li>
Background in Engineering, statistics, mathematics, or another quantitative field
</li><li>Advanced understanding of Python, SAS, and SQL</li><li>
Query large amounts of data and transform into actionable recommendations.</li><li>
Strong analytical and problem-solving abilities</li><li>
Experience delivering recommendations to leadership.</li><li>
Self-starter with ability to execute quickly and effectively.</li><li>
Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills
</b></p><ul><li><p>MS degree in a quantitative field or 2 or more years risk management or other quantitative experience.</p></li><li><p>
Hands on Knowledge of AWS and Snowflake.</p></li><li><p>
Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing
</p></li></ul><b>ABOUT US</b><div><br>
<p>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.<br>
<br>
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></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<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><br>
<br>
</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 Associate

<div><b>JOB DESCRIPTION</b><p><br>
&#65279;As a Strategic Analytics Associate, you'll work with the risk team to generate thoughtful analytics and recommendations to the business concerning strategy development, implementation, operational controls, and performance monitoring.</p><p><b>
Responsibilities:</b></p><ul>
<li>Develop and maintain periodic analytics to provide management with full insight into emerging trends and the quality of the originated accounts</li>
<li>Attain a detailed understanding of key performance metrics and profitability drivers, enabling the delivery of insights encompassing the full account lifecycle</li>
<li>Acquire an understanding of the operational processes (e.g. manual underwriting, portfolio management, collections) which will aid in understanding acquisition performance drivers</li>
<li>Conduct ad hoc analytics and contribute to various projects representing Risk Management</li></ul><p><b>
Qualifications:</b></p><ul>
<li>3 years of Risk Management or other quantitative experience preferred</li>
<li>Background in statistics, econometric, or other quantitative field required</li>
<li>Advanced understanding of SAS, SAS Enterprise Miner, or other decision tree software</li>
<li>Ability to query large amounts of data and transform the raw data into actionable management information</li>
<li>Familiarity with risk analytic techniques</li>
<li>Strong analytical and problem-solving abilities</li>
<li>Strong written and oral communication skills</li>
<li>Experience delivering recommendations to management</li></ul>
<b>ABOUT US</b><div><br>
<p>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.<br>
<br>
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></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<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><br>
<br>
</div><div>Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.</div></div>

Strategic Analytics - Associate

Glow Beauty On Demand

<br>Job Title<br>Applied Data Science Associate - AI and Machine Learning Training Dubai<br>Job Description<br>Applied Data Science Associate - AI and Machine Learning Training Dubai<br> <br>Role Summary<br>DataRobot is offering a unique opportunity for aspiring data professionals in Dubai to join our Applied Data Science Associate program. This full-time, paid training experience is designed for those with technical backgrounds who are eager to launch or advance a career in AI. Over six months, you ll work alongside leading experts, learn to use our powerful AI platform, and gain hands-on experience delivering real-world impact for global clients. Arabic and English fluency is required, and you must be based in the Dubai area.<br> <br>Employment Overview<br> <br>* Job Location: Dubai, UAE<br>* Industry: Information Technology and Services<br>* Function: Data Science / Analytics<br>* Gender: Any<br>* Candidate Nationality: Any<br>* Candidate Current Location: Dubai, UAE (Required)<br>* Job Type: Full-time<br> <br>What You ll Do<br> <br>* Participate in an intensive 6-month development program built around customer-facing data science skills<br>* Master core AI techniques: classification, regression, time series, anomaly detection<br>* Learn to wrangle and analyze data using Python, R, and other tools<br>* Become a platform expert across DataRobot's GUI and API clients<br>* Consult with customers from data scientists to executives on real use cases and value-driving strategies<br>* Translate complex data science into practical business outcomes<br>* Collaborate with sales, consulting, and engineering teams on enterprise AI delivery<br>* Gain direct exposure to the most advanced generative and predictive AI applications in the market<br> <br>Ideal Profile<br> <br>* Bachelor's or graduate degree in a technical field (e.g., computer science, engineering, physics)<br>* Alternatively, at least 3 years in a technical product or data-related role<br>* Fluency in Arabic and English (spoken and written)<br>* Passion for AI, machine learning, and solving business problems with data<br>* Self-driven, curious, and open to learning from experts in the field<br>* Strong communication skills and ability to build trusted relationships with clients<br>* Currently residing in Dubai or the surrounding area<br> <br>Why Join Us<br> <br>* Fast-track career growth with structured, high-impact mentorship<br>* Learn directly from top AI scientists and practitioners<br>* Full-time role with competitive salary and comprehensive benefits<br>* Pathway to a Data Science Associate position upon program completion<br>* Inclusive and innovative workplace that celebrates diverse talent<br>* Join a global AI leader helping enterprises realize value through responsible, scalable AI<br> <br><br>

Applied Data Science Associate

<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>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>
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
<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><p>Responsibilities:
</p><p>Main responsibilities will include: o Develop and implement conversational AI solutions that meet client needs. o Build and train natural language processing models to improve accuracy and understanding. o Design and develop conversational interfaces that are intuitive and easy for users to navigate. o Work with cross-functional teams to integrate conversational AI solutions into existing systems. o Troubleshoot and resolve technical issues related to conversational AI solutions. o Stay up to date with the latest developments in conversational AI and identify new opportunities for growth and innovation.
</p><p></p><p>Mandatory skill sets:
</p><p>AI Engineer, NLP
</p><p>Preferred skill sets:
</p><p>AI Engineer, NLP
</p><p>Years of experience required:
</p><p>2-4 Years
</p><p>Education Qualification : BE, B.Tech, MCA, M.Tech
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of 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>Artificial Intelligence (AI)
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 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_Associate_AI/ML Engineer_Data & Analytics_Advisory_PAN India

Property Finder Group

<p>Within the Strategy &amp; Analytics team, Property Finder is looking for a strong Product Analytics Associate who will be primarily responsible for translating data into actionable insights, helping Product Management leadership of the company make informed decisions. You would work with an exceptional group of ex consultants from McKinsey, Bain, BCG and the Big 4.</p>
<p><strong>Key Responsibilities</strong></p>
<ul>
<li>End-to-end ownership of workstreams to deliver data-driven business and product insights, across strategic initiatives</li>
<li>Conduct complex and detailed analyses to identify areas for improvement, enhance efficiency, and help set targets for the teams</li>
<li>Coordinate and work with different functions within the company</li>
<li>Present findings periodically to leaders of the organisation</li>
</ul>

Associate, Product Analytics

<div><b>JOB DESCRIPTION</b><p><br>
Join the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions. The Workforce Planning (WFP) organization it is a part of Consumer and Community (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis &amp; support).
</p><p>As a Time Series Demand Forecasting Associate in Workforce Planning, you will be responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across CCB operations. The role is focused on time-series forecasting, inferential statistics, data analysis and consulting with stakeholders to understand and explain our dynamic business.</p><p>
The role applies operational analytics and strategy tools to enhance the integrated planning process, identify enhancements to the overall the forecasting process while supporting the development of analytical tools. The goal is to provide business insights needed in ensuring that forecasts are appropriately planned and in line with expectations so that our contact center network is optimally staffed, service goals are being met, and budgets are appropriately planned.</p><p>
Job responsibilities:</p><ul><li>
Identify opportunities to enhance existing call volume and productivity forecasting process.</li><li>
Monitor, Evaluate, and Improve Forecast Accuracy: Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings, and use common sense approaches to explain changes and reasons for error.</li><li>
Possess strong interpersonal skills for partnering with various levels of the organization and influencing results.</li><li>
Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.</li><li>
Take complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture.</li><li>
Explore opportunities for creating frameworks for automation using Python.</li><li>
Stay Informed on Industry Trends: Keep abreast of industry trends, emerging technologies, and best practices in forecasting to ensure the organization remains competitive and innovative in its approach.</li></ul><p><b>
Required Qualifications, Capabilities and Skills:</b></p><ul><li>
Applied knowledge of 3+ years&rsquo; experience in business planning and processes: significant forecasting experience, and strong modeling background required. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data.</li><li>
Educational Background: MS/PHD Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering
</li><li>Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.</li><li>
Quantitative Mindset: Strong operational analytic/strategy mindset to identify opportunities and solve them through data and business insights using advanced mathematical approaches. Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas.</li><li>
Data Analytics and Software Proficiency: Experience leveraging analytical and statistical tools such as time series, regression, and other forecasting techniques using Python, R, or SAS.
</li><li>Communication skills: Superior written and oral presentation / communication skills &ndash; the ability to convey complex information simply and clearly to senior leadership. Demonstrated understanding of business value drivers and aligning teams to achieve business objectives.
</li><li>Hands-on experience and theoretical understanding of time-series forecasting &amp; advanced statistics like Moving Average, Exponential Smoothing, Auto-Regression and Regression.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities and Skills:</b></p><ul><li>
Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. &amp; familiarity with basic data table operations (SQL, Hive, etc.).</li><li>
Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary.</li><li>
Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS</li><li>
Experience in conducting both exploratory and explanatory analyses, with the ability to deliver clear and effective presentations to stakeholders.</li><li>
Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.</li></ul>
<b>ABOUT US</b><div><br>
<p>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.<br>
<br>
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></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<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><br>
<br>
</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 Associate - Forecasting Associate

Deloitte

<p></p><div><div><div><div><div><div><div><div><div><p><b>Enterprise Performance</b></p></div><div></div><div><p><br>
Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.</p></div><div><p><b>
Position Summary</b></p></div><div><p><b>
Level: </b><b>Advance analytics</b><b> Consultant</b></p></div><div><div>
As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.</div></div><div></div><div><div><b><br>
Work you&rsquo;ll do</b><b>:</b></div></div><div></div><div><div><br>
As a Consultant in Deloitte&rsquo;s Supply chain &amp; Network Operations team, you will:</div></div><div><ul><li><div>
Collaborate with analytics teams to manage and analyze big and small data.</div></li></ul></div><div><ul><li><div>
Apply advanced analytics and create impactful visualizations (Tableau, Qlik, PowerBI).</div></li></ul></div><div><ul><li><div>
Deliver high-quality work and adapt quickly, independently or in teams.</div></li></ul></div><div><ul><li><div>
Use strong SQL skills to wrangle and transform data across databases (MS SQL, MySQL, PostgreSQL, Oracle, MongoDB).</div></li></ul></div><div><ul><li><div>
Employ data wrangling and analytics expertise using Python, R, SPSS, Minitab, and Excel.</div></li></ul></div><div><ul><li><div>
Support teams by identifying and resolving technical or data issues, ensuring insights address business needs.</div></li></ul></div><div></div><div><p><b><br>
The </b><b>T</b><b>eam:</b></p></div><p></p><div><p><br>
From our centers, we work with Deloitte consultants to analyze, design, develop, and build solutions to help clients reimagine, reshape and rewire the competitive fabric of their supply chains across industries. Our centers house a multitude of specialists, ranging from systems designers, architects, integrators, analytics experts, domain specialists to creative digital experts as well as cyber risk and human capital professionals. All work together on diverse projects from advisory services, advanced preconfigured solutions and methodologies, to brand building and campaign management. We are a unique blend of skills and experiences, yet we underline the value of each individual, providing customized career paths, fostering innovation and knowledge development with a focus on quality.</p></div></div><div><div><p><b>
Qualifications</b><b>:</b></p></div><div><p><b>
Must have Skills</b><b>:</b></p></div><div><ul><li><div>
3&ndash;6 years of experience in data visualization troubleshooting, including resolving object failures, database connectivity issues, and data processing errors, preferably within Tableau.</div></li></ul></div><div><ul><li><div>
3+ years supporting data analytics using statistical and analytical software such as R, SAS, SPSS Statistics, SPSS Modeler, Minitab, or Matlab.</div></li></ul></div><div><ul><li><div>
Experience in Supply Chain analytics, with familiarity in working with supply chain-related data sources such as SAP Planning or Oracle Planning modules.</div></li></ul></div><div><ul><li><div>
Strong analytical and problem-solving skills, with demonstrated ability to troubleshoot complex technical data analytics issues.</div></li></ul></div><div><ul><li><div>
Proficiency in programming with Python or similar scripting languages (e.g., R, SQL).</div></li></ul></div><div><ul><li><div>
Experience with ETL tools such as SSIS, Informatica, or Alteryx for data extraction, transformation, and loading.</div></li></ul></div><div><ul><li><div>
Hands-on experience with data visualization tools such as Tableau, QlikView, Qlik Sense, or Power BI, enabling effective communication of insights.</div></li></ul></div><div><ul><li><div>
Proficient in Microsoft Office applications, including Visio, PowerPoint, Excel, and Access, for documentation and presentation.</div></li></ul></div><div><ul><li><div>
Excellent communication and collaboration skills, enabling effective teamwork and stakeholder engagement across cross-functional teams.</div></li></ul></div><p></p><div><p><b><br>
Good to have Skills:</b></p></div><div><ul><li><div>
Ability to identify and resolve technical issues swiftly, supporting smooth analytics operations.</div></li></ul></div><div><ul><li><div>
Strong problem solving and troubleshooting skills, with the capacity to exercise mature judgment in ambiguous situations.</div></li></ul></div><div><ul><li><div>
Experience with big consulting firms or relevant industry experience, providing valuable context and best practices.</div></li></ul></div><div><ul><li><div>
Exposure to advanced analytics methodologies or emerging technologies in data science.</div></li></ul></div><div><ul><li><div>
Familiarity with additional supply chain platforms or planning modules beyond SAP and Oracle.</div></li></ul></div><div><ul><li><div>
Experience with workflow automation or cloud-based analytics environments.</div></li></ul></div><div><ul><li><div>
Professional certifications in analytics, data visualization, or supply chain management.</div></li></ul></div></div><p></p><div><div><div><b><br>
Education:</b></div></div><div></div><div><ul><li><div><br>
B.E, B.Tech, BBA from a leading school in India or abroad</div></li></ul></div><div></div><div><div><b><br>
Location:</b></div></div><div></div><div><ul><li><div><br>
Bengaluru/Hyderabad/Kolkata/Chennai/Pune</div></li></ul></div><p></p><div><p><br>
#SCNOFY26Hiring</p></div></div><p></p>
</div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><p></p><div><div><div><p>Requisition code: 302605</p></div></div></div></div>

Advanced Analytics

Search 10000+ Advanced analytics associate jobs near you this October. New roles added regularly across leading industries. Apply today.