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data analyst

Valkyrie People Consulting

<div>
 
 
 Job Title:
 
 Data Analyst
 
 
 
 Location:
 
 Pune, India
 
 
 
 Industry:
 
 Automotive
 
 
 
 Experience:
 
 3+ years of experience in data analysis, preferably within the automotive or manufacturing sector.
 
 
 
 Position Overview:
 
 
 
 The Data Analyst will be responsible for gathering, analyzing, and interpreting data to help the automotive company improve its operations, optimize supply chains, enhance customer satisfaction, and make informed business decisions. This role requires a strong background in data analysis techniques and tools, as well as a solid understanding of the automotive industry. The Data Analyst will work closely with cross-functional teams, including operations, marketing, sales, and finance, to provide insights that drive business performance and efficiency.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, clean, and manage data from various sources, including production data, sales data, customer feedback, and supply chain metrics.
 </li>
 <li>
 
 Data Analysis:
 
 Analyze large datasets to identify trends, patterns, and correlations. Use statistical tools to interpret data and provide actionable insights for process improvement and business decisions.
 </li>
 <li>
 
 Performance Monitoring:
 
 Develop and monitor key performance indicators (KPIs) related to production efficiency, sales performance, customer satisfaction, and other business operations.
 </li>
 <li>
 
 Reporting &amp; Visualization:
 
 Create clear and concise reports, dashboards, and visualizations to communicate findings to business leaders and stakeholders.
 </li>
 <li>
 
 Predictive Analytics:
 
 Use predictive modeling and machine learning techniques to forecast demand, optimize inventory levels, and identify potential issues in production or supply chains.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with production, supply chain, sales, and marketing teams to identify opportunities for efficiency improvements and support data-driven decision-making processes.
 </li>
 <li>
 
 Market &amp; Customer Analysis:
 
 Analyze customer behavior and market trends to help improve product offerings, marketing strategies, and customer engagement.
 </li>
 <li>
 
 Automation &amp; Process Improvement:
 
 Identify opportunities to automate repetitive data collection and reporting tasks, streamlining processes and improving data accuracy.
 </li>
 <li>
 
 Quality Control:
 
 Ensure the accuracy and reliability of data by conducting regular audits and validation checks.
 </li>
 </ul>
 
 
 Qualifications &amp; Requirements:
 
 
 <ul>
 <li>
 Proven experience as a Data Analyst or in a similar role, preferably in the automotive or manufacturing industry.
 </li>
 <li>
 Proficiency in data analysis tools such as Excel, SQL, Python, R, or other relevant software.
 </li>
 <li>
 Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
 </li>
 <li>
 Familiarity with automotive industry trends, supply chain processes, and production metrics is a plus.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with a keen eye for detail.
 </li>
 <li>
 Ability to communicate complex data insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field. A Master&rsquo;s degree or relevant certifications is an advantage.
 </li>
 </ul>
 
 
 Personal Attributes:
 
 
 <ul>
 <li>
 Results-driven with a strong focus on delivering data-driven insights that impact business performance.
 </li>
 <li>
 Strong communication skills, able to translate data findings into actionable recommendations.
 </li>
 <li>
 Detail-oriented with a focus on accuracy and data integrity.
 </li>
 <li>
 Ability to work effectively in a team environment and manage multiple tasks simultaneously.
 </li>
 <li>
 Passion for the automotive industry and eagerness to stay updated on new data technologies and trends.
 </li>
 </ul>
</div>

Data Analyst

Amber

<div>
 
 
 About Amber (https://amberstudent.com)
 
 
 
 
 
 
 
 Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
 
 
 
 
 We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
 
 
 
 
 
 
 
 If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Developing and maintaining databases, data systems
 </li>
 <li>
 Performing analysis to assess quality and meaning of data
 </li>
 <li>
 Generate dynamic dashboards and reports
 </li>
 <li>
 Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
 </li>
 <li>
 Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
 </li>
 <li>
 Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data
 </li>
 </ul>
 
 
 
 
 
 Skills required:
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 SQL (Redshift, BigQuery, or PostgreSQL)
 
 </li>
 <li>
 Familiarity with
 
 Python or R
 
 for data wrangling and light ML
 </li>
 <li>
 Comfort with
 
 BI tools
 
 &mdash; Tableau, Power BI, or Google Data Studio
 </li>
 <li>
 Solid grounding in
 
 data cleaning, feature engineering, and visualization
 
 </li>
 <li>
 Curious about the
 
 why
 
 behind metrics &mdash; not just reporting numbers but questioning them
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 ,
 
 funnels
 
 ,
 
 marketing attribution
 
 , or
 
 user cohort analysis
 
 is a plus
 </li>
 <li>
 Good communication skills &mdash; able to convert data findings into actionable business stories
 </li>
 </ul>
 
 
</div>

Bits In Glass

<div>
 
 
 Title:
 
 Google Cloud Infrastructure / DevOps Engineer
 
 
 
 Location:
 
 Pune / Hyderabad / Mohali
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 As a Google Cloud Infrastructure / DevOps Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure while ensuring efficient development operations. Your role bridges the gap between development and operations, focusing on automation, scalability, and reliability. You'll collaborate with cross-functional teams to optimize our systems and enhance delivery pipelines.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Cloud Infrastructure Management:
 </li>
 </ul>
 
 ● Manage and monitor Google Cloud Platform (GCP) services and components.
 
 
 ● Ensure high availability, scalability, and security of cloud resources.
 
 <ul>
 <li>
 CI/CD Pipeline Implementation:
 </li>
 </ul>
 
 ● Design and implement automated deployment pipelines for application releases.
 
 
 ● Build and maintain continuous integration and continuous deployment (CI/CD) pipelines.
 
 
 ● Collaborate with developers to streamline application deployment processes.
 
 
 ● Automate testing, deployment, and rollback procedures.
 
 <ul>
 <li>
 Infrastructure as Code (IaC):
 </li>
 </ul>
 
 ● Use tools like Terraform to define and manage infrastructure.
 
 
 ● Maintain version-controlled infrastructure code.
 
 
 ● Ensure consistency across development, staging, and production environments.
 
 <ul>
 <li>
 Monitoring and Troubleshooting:
 </li>
 </ul>
 
 ● Monitor system performance, resource utilization, and application health.
 
 
 ● Troubleshoot and resolve issues related to cloud infrastructure and deployment pipelines.
 
 
 ● Implement proactive monitoring and alerting mechanisms.
 
 <ul>
 <li>
 Security and Compliance:
 </li>
 </ul>
 
 ● Apply security best practices to protect cloud resources.
 
 
 ● Ensure compliance with industry standards and internal policies.
 
 
 ● Collaborate with security teams to address vulnerabilities.
 
 <ul>
 <li>
 Collaboration and Documentation:
 </li>
 </ul>
 
 ● Work closely with development, operations, and QA teams.
 
 
 ● Document infrastructure architecture, processes, and configurations.
 
 
 ● Share knowledge and best practices with team members.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 ●
 
 Education:
 
 Bachelor's degree in Computer Science, Information Technology, or related field.
 
 
 ●
 
 Experience:
 
 
 
 ● Minimum of 3 years of industry experience, including at least 1 year designing and managing production systems using Google Cloud.
 
 
 ● Familiarity with GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.).
 
 
 ● Exposure to containerization (Docker, Kubernetes) and microservices architecture.
 
 
 
 
 
 
 
 Skills:
 
 
 
 ● Proficiency in Python or Bash scripting for automation.
 
 
 ● Strong understanding of DevOps principles and practices.
 
 
 ● Knowledge of Jenkins or other CI/CD tools.
 
 
 ● Experience with GKE (Google Kubernetes Engine) for container orchestration.
 
 
 ● Familiarity with event streaming platforms (e.g., Kafka, Google Cloud Pub/Sub).
 
 
 
 
 
 
 
 
 
 Company Description: Bits in Glass - India
 
 
 
 ●
 
 Industry Leader:
 
 
 
 &cir; Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
 
 
 &cir; Offices across three locations in India: Pune, Hyderabad &amp; Chandigarh.
 
 
 &cir;
 
 Specialized Pega partner since 2017
 
 , delivering Pega solutions with deep industry expertise and experience.
 
 
 &cir; Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
 
 
 &cir;
 
 Elite Appian partner since 2008
 
 , delivering Appian solutions with deep industry expertise and experience.
 
 
 &cir; Operating in the United States, Canada, United Kingdom, and India.
 
 
 &cir; Dedicated global Pega CoE to support our customers and internal dev teams.
 
 
 ●
 
 Employee Benefits:
 
 
 
 &cir;
 
 Career Growth:
 
 Opportunities for career advancement and professional development.
 
 
 &cir;
 
 Challenging Projects:
 
 Work on innovative, cutting-edge projects that make a global impact.
 
 
 &cir;
 
 Global Exposure:
 
 Collaborate with international teams and clients to broaden your professional network.
 
 
 &cir;
 
 Flexible Work Arrangements:
 
 Support for work-life balance through flexible working conditions.
 
 
 &cir;
 
 Comprehensive Benefits:
 
 Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
 
 
 &cir;
 
 Learning Opportunities-
 
 Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.
 
 
 ●
 
 Company Culture:
 
 
 
 &cir;
 
 Collaborative Environment:
 
 Emphasizes teamwork, innovation, and knowledge sharing.
 
 
 &cir;
 
 Inclusive Workplace:
 
 Values diversity and fosters an inclusive environment where all ideas are respected.
 
 
 &cir;
 
 Continuous Learning:
 
 Encourages professional development through ongoing learning opportunities and certifications.
 
 
 ●
 
 Core Values:
 
 
 
 &cir;
 
 Integrity:
 
 Commitment to ethical practices and transparency in all business dealings.
 
 
 &cir;
 
 Excellence:
 
 Strive for the highest standards in everything we do.
 
 
 &cir;
 
 Client-Centric Approach:
 
 Focus on delivering the best solutions tailored to client needs
 
 
 
</div>

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 5 to 6 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist - Junior

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Enterprise Performance
 
 
 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.
 
 
 Position Summary
 
 
 Level: Advance analytics Consultant
 
 
 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.
 
 
 Work you&rsquo;ll do :
 
 
 As a Consultant in Deloitte&rsquo;s Supply chain &amp; Network Operations team, you will:
 
 
 <ul>
 <li>
 Collaborate with analytics teams to manage and analyze big and small data.
 </li>
 <li>
 Apply advanced analytics and create impactful visualizations (Tableau, Qlik, PowerBI).
 </li>
 <li>
 Deliver high-quality work and adapt quickly, independently or in teams.
 </li>
 <li>
 Use strong SQL skills to wrangle and transform data across databases (MS SQL, MySQL, PostgreSQL, Oracle, MongoDB).
 </li>
 <li>
 Employ data wrangling and analytics expertise using Python, R, SPSS, Minitab, and Excel.
 </li>
 <li>
 Support teams by identifying and resolving technical or data issues, ensuring insights address business needs.
 
 
 </li>
 </ul>
 The T eam:
 
 
 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.
 
 
 Qualifications :
 
 
 Must have Skills :
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data visualization troubleshooting, including resolving object failures, database connectivity issues, and data processing errors, preferably within Tableau.
 </li>
 <li>
 3+ years supporting data analytics using statistical and analytical software such as R, SAS, SPSS Statistics, SPSS Modeler, Minitab, or Matlab.
 </li>
 <li>
 Experience in Supply Chain analytics, with familiarity in working with supply chain-related data sources such as SAP Planning or Oracle Planning modules.
 </li>
 <li>
 Strong analytical and problem-solving skills, with demonstrated ability to troubleshoot complex technical data analytics issues.
 </li>
 <li>
 Proficiency in programming with Python or similar scripting languages (e.g., R, SQL).
 </li>
 <li>
 Experience with ETL tools such as SSIS, Informatica, or Alteryx for data extraction, transformation, and loading.
 </li>
 <li>
 Hands-on experience with data visualization tools such as Tableau, QlikView, Qlik Sense, or Power BI, enabling effective communication of insights.
 </li>
 <li>
 Proficient in Microsoft Office applications, including Visio, PowerPoint, Excel, and Access, for documentation and presentation.
 </li>
 <li>
 Excellent communication and collaboration skills, enabling effective teamwork and stakeholder engagement across cross-functional teams.
 
 
 </li>
 </ul>
 Good to have Skills:
 
 
 <ul>
 <li>
 Ability to identify and resolve technical issues swiftly, supporting smooth analytics operations.
 </li>
 <li>
 Strong problem solving and troubleshooting skills, with the capacity to exercise mature judgment in ambiguous situations.
 </li>
 <li>
 Experience with big consulting firms or relevant industry experience, providing valuable context and best practices.
 </li>
 <li>
 Exposure to advanced analytics methodologies or emerging technologies in data science.
 </li>
 <li>
 Familiarity with additional supply chain platforms or planning modules beyond SAP and Oracle.
 </li>
 <li>
 Experience with workflow automation or cloud-based analytics environments.
 </li>
 <li>
 Professional certifications in analytics, data visualization, or supply chain management.
 
 
 </li>
 </ul>
 Education:
 
 
 <ul>
 <li>
 B.E, B.Tech, BBA from a leading school in India or abroad
 
 
 </li>
 </ul>
 Location:
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/ Kolkata/Chennai/Pune
 
 
 </li>
 </ul>
 #SCNOFY26Hiring
 
 
 
 Our purpose
 
 
 
 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.
 
 
 
 Our people and culture
 
 
 
 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.
 
 
 
 Professional development
 
 
 
 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 .
 
 
 
 Benefits To Help You Thrive
 
 
 
 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.
 
 
 
 Recruiting tips
 
 
 
 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.
 
 
 Requisition code: 302605
</div>

Advanced Analytics

Capgemini

<div>
 
 Job Title: Business Analyst &ndash; Cards Issuing
 
 
 Location: Pune, Bangalore, Hyderabad
 
 
 Experience: 5 to 12 Years
 
 
 Notice Period: Immediate to 60 Days
 
 
 
 
 
 Job Summary:
 
 
 We are seeking an experienced Business Analyst with deep expertise in Cards Issuing to join our team. The ideal candidate will have hands-on experience across core cards processing functions and must demonstrate strong analytical and SQL skills. This role excludes candidates with experience primarily in acquiring, merchant services, or operations.
 
 
 
 
 
 Key Responsibilities:
 
 
 Collaborate with stakeholders to gather and analyze business requirements within the Cards Issuing domain.
 
 
 Lead and support initiatives across sub-domains such as:
 
 
 Core Cards Processing
 
 
 Authorization
 
 
 Disputes
 
 
 Account Boarding
 
 
 Servicing
 
 
 Collections
 
 
 Participate in Cards Migration/Conversion projects including:
 
 
 Data Mapping
 
 
 Business Workshops
 
 
 Mock Runs
 
 
 Disaster Recovery (DR) Planning
 
 
 Translate business needs into functional specifications and work closely with development and testing teams.
 
 
 Utilize SQL for data analysis, validation, and reporting.
 
 
 Work with product platforms such as VisionPlus, TSYS, HPS, CoreCard, Prime, etc.
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 Domain Expertise:
 
 
 Must have recent and substantial experience in Cards Issuing.
 
 
 Exclude candidates with experience in Cards Acquiring, Merchant Services, Payment Gateways, PSPs, ATM/POS, or purely operational roles.
 
 
 Migration/Conversion Experience:
 
 
 Must have participated in end-to-end migration activities beyond testing (e.g., data mapping, workshops, DR).
 
 
 SQL Proficiency:
 
 
 Strong SQL skills required for profiles with &lt;10 years of experience.
 
 
 Moderate SQL proficiency acceptable for profiles with 10&ndash;12 years of experience.
 
 
 Platform Experience:
 
 
 Hands-on experience with one or more Cards Issuing platforms (e.g., VisionPlus, TSYS, HPS, CoreCard, Prime).
 
 
 
 
 
 Profile Types Considered:
 
 
 Pure BAs with Cards Issuing + SQL
 
 
 Developers from Cards Issuing platforms who transitioned into BA roles
 
 
 Testers from Cards Issuing platforms now working as BAs
 
</div>

Business Analyst - Cards Issuing

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Business Analyst - Cards Issuing