data analyst data management and analytics data ops data analyst

<div>
 <ul>
 <li>
 5 - 9 years of professional experience as a Data Analyst with good decision-making, analytical and problem-solving skills.
 </li>
 <li>
 Working knowledge / experience of Big Data frameworks like Hadoop, Hive and Spark.
 </li>
 <li>
 Hands-on experience in query languages like HQL or SQL (Spark SQL) for Data exploration.
 </li>
 <li>
 Data mapping: Determine the data mapping required to join multiple data sets together across multiple sources.
 </li>
 <li>
 Documentation - Data Mapping, Subsystem Design, Technical Design, Business Requirements.
 </li>
 <li>
 Exposure to Logical to Physical Mapping, Data Processing Flow to measure the consistency, etc.
 </li>
 <li>
 Data Asset design / build: Working with the data model / asset generation team to identify critical data elements and determine the mapping for reusable data assets.
 </li>
 <li>
 Understanding of ER Diagram and Data Modeling concepts
 </li>
 <li>
 Exposure to Data quality validation
 </li>
 <li>
 Exposure to Data Management, Data Cleaning and Data Preparation
 </li>
 <li>
 Exposure to Data Schema analysis.
 </li>
 <li>
 Exposure to working in Agile framework.
 </li>
 <li>
 SQL, Pyspark, Python with Wholesale Banking Domain knowledge / Credit &amp; Lending domain knowledge.
 </li>
 <li>
 Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers - advantageous
 </li>
 <li>
 Retail Credit / Traded Credit knowledge - applications will be considered.
 
 
 </li>
 </ul>
 
 Good To Have
 
 
 
 <ul>
 <li>
 BFSI Domain knowledge
 </li>
 <li>
 Data Visualization - Tableau or Qlik Sense
 </li>
 <li>
 Exposure to Hadoop, Hive and ETL.
 </li>
 <li>
 Working knowledge of any cloud services like AWS or GCP or Azure.
 </li>
 <li>
 Any relevant certifications would be a plus.
 </li>
 </ul>
</div>

Data Analyst-Data Management and Analytics-Data Ops/Data Analyst

Deutsche Bank

<div>
 
 Position Overview
 
 
 
 
 In Scope of Position based Promotions (INTERNAL only)
 
 
 
 
 Job Title:
 
 
 Business Management Sr Analyst, Associate
 
 
 
 
 Location:
 
 
 Pune/ Mumbai, India
 
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 The Business Management Sr Analyst, Associate, is responsible for supporting the Infra Chief Operating Office (ICOO) division, acting as a bridge between business and infrastructure functions.
 </li>
 <li>
 In this role, you will deliver business management support by preparing reports and analytics, coordinating with stakeholders, assisting with strategic initiatives and workforce planning, supporting change projects, and ensuring adherence to governance standards and operational controls across infrastructure functions.
 </li>
 <li>
 You will join the Infrastructure Chief Operating Office (ICOO) team, where you will support business management activities across infrastructure divisions.
 </li>
 <li>
 Your role will focus on generating reports and analytics, coordinating with stakeholders, and assisting with the implementation of strategic initiatives and business processes.
 </li>
 <li>
 You&rsquo;ll help manage headcount data, support change projects, collaborate with Finance and HR on workforce matters, and contribute to process improvements and operational support, all while ensuring adherence to governance standards and controls.
 
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Offer You
 
 
 
 As part of our flexible scheme, here are just some of the benefits that you&rsquo;ll enjoy
 
 
 <ul>
 <li>
 Best in class leave policy
 </li>
 <li>
 Gender neutral parental leaves
 </li>
 <li>
 100% reimbursement under childcare assistance benefit (gender neutral)
 </li>
 <li>
 Sponsorship for Industry relevant certifications and education
 </li>
 <li>
 Employee Assistance Program for you and your family members
 </li>
 <li>
 Comprehensive Hospitalization Insurance for you and your dependents
 </li>
 <li>
 Accident and Term life Insurance
 </li>
 <li>
 Complementary Health screening for 35 yrs. and above
 
 
 
 </li>
 </ul>
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Provide regular business management support to various divisions within Infrastructure, such as generating reports, analytics, and management materials.
 </li>
 <li>
 Coordinate with multiple stakeholders to assist in the delivery of business-critical tasks.
 </li>
 <li>
 Support the implementation of strategy and Target Operating Model (TOM) in line with local, regional, and global standards and change programs, including functional design, location strategy, and organization design principles.
 </li>
 <li>
 Assist in managing business processes and controls for the region, including headcount management, management information systems (MIS), footprint planning, and forecasting, in alignment with divisional strategies.
 </li>
 <li>
 Prepare and develop management reports and analysis for review by senior team members and leadership.
 </li>
 <li>
 Support change initiatives and transformation projects by providing analytics, preparing materials, and coordinating with teams across the organization.
 </li>
 <li>
 Collaborate with Finance and HR divisions to gather data and provide analytics on workforce related matters.
 </li>
 <li>
 Contribute to process enhancements and organizational efficiency by maintaining awareness of business changes and evaluating their impact.
 </li>
 <li>
 Help ensure adherence to global guidelines, governance standards, tools, processes, and controls.
 </li>
 <li>
 Provide operational support on COO matters as required.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Minimum 5 years of overall working experience; experience in Business Management or a related field is desirable.
 </li>
 <li>
 Highly structured and detail-oriented, with strong organizational and coordination skills to ensure high quality and consistency in sharing and receiving information, knowledge, and expertise within a virtual team environment.
 </li>
 <li>
 Demonstrated ability to work with management information and large data sets, with experience coordinating with multiple stakeholders.
 </li>
 <li>
 Experience with Workday system, data, and reporting is an advantage.
 </li>
 <li>
 Strong analytical skills and a mindset to analyze complex situations and advise on solutions.
 </li>
 <li>
 Ability to convert data, information, and analysis into high-quality management materials, such as PowerPoint presentations, dashboards, and Excel reports.
 </li>
 <li>
 Self-starter and motivated to work independently, managing assigned tasks and ensuring transparency on progress with clear, timely communication of issues.
 </li>
 <li>
 Excellent interpersonal and communication skills (verbal and written).
 </li>
 <li>
 Capable of interacting successfully in a virtual, diverse, and multi-cultural environment.
 
 
 
 </li>
 </ul>
 
 How We&rsquo;ll Support You
 
 
 
 <ul>
 <li>
 Training and development to help you excel in your career
 </li>
 <li>
 Coaching and support from experts in your team
 </li>
 <li>
 A culture of continuous learning to aid progression
 </li>
 <li>
 A range of flexible benefits that you can tailor to suit your needs
 
 
 
 </li>
 </ul>
 
 About Us And Our Teams
 
 
 
 Please visit our company website for further information:
 
 
 https://www.db.com/company/company.html
 
 
 We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
 
 
 Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
 
 
 We welcome applications from all people and promote a positive, fair and inclusive work environment.
</div>

Business Management Sr Analyst, Associate

PwC India

<div>
 
 Job Position Title: Data Scientist Gen AI
 
 
 Location: PAN India
 
 
 Years of experience required: 5-9 Years
 
 
 Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 Position responsibilities and expectations &middot; Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. &middot; Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown &middot; Ability to learn new scripting language or analytics platform. Technical Skills required (must have) &middot; HandsOn Exposure to Generative AI (Design, development of GenAI application in production) &middot; Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. &middot; Strong understanding of deploying and optimizing AI application in production. &middot; Strong knowledge of statistical and data mining techniques like Linear &amp; Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. &middot; Strong knowledge of DL &amp; Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) &middot; Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs. &middot; Experience in advanced Text Analytics (NLP, NLU, NLG). &middot; Understanding of LLM Ops, ML Ops for scalable ML development. &middot; Working knowledge on agents like PyTorch, TensorFlow &middot; Proven capability in using Generative AI services like OpenAI, Google (Gemini) &middot; Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) &middot; Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique.
 
</div>

Generative AI Engineer

EPAM Systems

<div>
 
 We are looking for a highly skilled
 
 Data Business Analyst
 
 with strong expertise in SQL, Data Warehousing concepts, ETL processes, Data Modeling, and Data Mapping.
 
 
 The ideal candidate will work closely with business stakeholders, data engineers, and product teams to translate business requirements into effective data solutions. Experience with cloud-based data platforms is an added advantage.
 
 
 &nbsp;
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Collaborate with business stakeholders to gather, analyze, and document data requirements
 </li>
 <li>
 Translate business needs into functional specifications, data models, and process flows
 </li>
 <li>
 Perform deep-dive data analysis using advanced SQL queries
 </li>
 <li>
 Work with ETL and data engineering teams to ensure accurate data pipelines and transformations
 </li>
 <li>
 Support Data Warehousing initiatives, including data modeling (conceptual, logical, and physical)
 </li>
 <li>
 Develop and maintain data mapping documents and source-to-target (S2T) specifications
 </li>
 <li>
 Perform data validation, profiling, and quality checks to ensure data accuracy
 </li>
 <li>
 Assist in defining KPIs, building dashboards, and supporting reporting needs
 </li>
 <li>
 Communicate findings and insights to technical and non-technical stakeholders
 </li>
 <li>
 Work with cloud data services (AWS/Azure/GCP) for data ingestion, storage, and processing (nice to have)
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Requirements
 
 
 <ul>
 <li>
 5+ years of experience
 </li>
 <li>
 Strong SQL skills with the ability to write complex queries
 </li>
 <li>
 Solid understanding of Data Warehousing concepts
 </li>
 <li>
 Hands-on experience with ETL processes and data transformation logic
 </li>
 <li>
 Good knowledge of Data Modeling (dimensional &amp; relational)
 </li>
 <li>
 Experience in Data Mapping and documenting S2T specifications
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Excellent communication and documentation abilities
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Exposure to cloud data platforms like:
 </li>
 <li>
 AWS: Redshift, Glue, Athena, S3
 </li>
 <li>
 Azure: Synapse, Data Factory, Databricks
 </li>
 <li>
 GCP: BigQuery, Dataflow, Pub/Sub
 </li>
 <li>
 Experience with BI/reporting tools (Tableau, Power BI, Looker)
 </li>
 <li>
 Basic understanding of data governance and metadata management
 </li>
 </ul>
</div>

Senior Data Business Analyst

Tech Mahindra

<div>
 
 
 Job Title: Business Analyst - AFC &amp; AML
 
 
 
 
 Experience: 6+ years
 
 
 
 
 Location: Pune
 
 
 
 
 Domain: Banking
 
 
 
 
 Notice Period: upto 30 Days
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Requirement gathering and Analysis:
 </li>
 <li>
 Work closely with Subject Matter Experts and other squad members, to capture requirements specification with focus on AFC and AML
 </li>
 <li>
 Create models, diagrams, presentations and other documentations
 </li>
 <li>
 Keep pace with the current regulations and policies
 </li>
 <li>
 Data analysis and system implementation
 </li>
 <li>
 Defining requirements for data sourcing and validation, including mapping source data to the fields in AML systems.
 </li>
 <li>
 Investigating data quality issues related to customer or transaction data and providing solutions to ensure accurate monitoring and reporting
 </li>
 <li>
 Assisting with the implementation of new Data Feeds
 </li>
 <li>
 UAT Testing and Validations:
 </li>
 <li>
 Developing test plans and scenarios, managing user acceptance testing (UAT) and Regression Testing
 </li>
 <li>
 Facilitate communication at team level to ensure consensus on scope, design and implementation
 </li>
 <li>
 Proactively Identify risks / issues
 </li>
 </ul>
 
 
 
 
 
 
 Competencies &amp; Experience
 
 
 
 
 
 
 <ul>
 <li>
 Product knowledge: Anti Financial Crime (AFC)/ Private Bank regulatory frameworks and US Sanctions
 </li>
 <li>
 System knowledge: AML Tools and platforms, General banking and financial Services knowledge
 </li>
 <li>
 Knowledge of transaction Monitoring, Sanctions screening and Case management
 </li>
 <li>
 Knowledge of Customer Due Diligence (CDD) and Enhanced Due Diligence (EDD) tools
 </li>
 <li>
 Knowledge of agile methods (SAFe, Scrum, Kanban) and tools (Jira and Confluence)
 </li>
 <li>
 Strong analytical skills, capability to write business requirement documents and review technical solution designs
 </li>
 <li>
 Relevant and demonstrable experience in designing and documenting requirements in agile teams
 </li>
 <li>
 University degree or equivalent, preferably with a degree in information technology, math or Business Management
 </li>
 </ul>
</div>

Business Analyst

<div>
 Key Skills: Python/PySpark, SQL, Documentation, Stakeholder Management
 
 
 
 Key Role And Responsibilities
 
 
 
 <ul>
 <li>
 Responsible for requirements gathering, documentation of solution design, documenting and executing test scenarios and performing a variety of change and implementation management activities.
 </li>
 <li>
 May work across multiple projects and programs simultaneously
 </li>
 <li>
 May be required to support change management activities spanning from early change planning and audience analysis; through to designing and delivering change interventions (e.g., communications, training, support, organization alignment); and tracking.
 </li>
 <li>
 Taking actions on change readiness, adoption, and feedback. They are also ultimately responsible for Implementation Management, including planning, controlling, and reporting on implementation of the change &lsquo;product&rsquo;, focusing on accelerating benefits and minimizing risk during deployment. Implementation activities will also include managing implementation readiness and managing the early stages of implementation (e.g. pilot).
 </li>
 <li>
 Business Analysts will often play a people / team management role within the projects / programs they work on. As members of the Global Transformation management team, they will also have line or assignment management responsibility for a group of more junior resources within their resource pool (as related to their job family).
 </li>
 <li>
 Internal clients to facilitate effective data analysis/migration and process change and ensure expectations are effectively managed.
 </li>
 <li>
 A good understanding of the control requirement surrounding data handling will be advantageous in this role
 </li>
 <li>
 Assess the operational risks as part of the analysis and implementation planning and execution in conjunction with delivery managers
 </li>
 <li>
 Adhere strictly to compliance and operational risk controls in accordance with bank and regulatory standards, policies and practices; report concerns or observations in terms of control weaknesses, compliance breaches and operational risk impact.
 </li>
 <li>
 Ensure all due diligence is performed to prevent adverse impact to customers and business operations
 </li>
 <li>
 Support documentation of risks, issues and dependencies in the RAID log for allocated projects, and ensure that these are fed into the program/PMO effectively.
 
 
 </li>
 </ul>
 
 Functional Knowledge
 
 
 
 <ul>
 <li>
 Strong Data and Business Analyst with Banking Knowledge
 </li>
 <li>
 Endorse team engagement initiatives, fostering an environment which encourages learning and collaboration to build a sense of community.
 </li>
 <li>
 Create environments where only the best will do and high standards are expected, regularly achieved and appropriately rewarded; encourages and supports continual improvements within the team based on ongoing feedback.
 </li>
 <li>
 Develop a network of professional relationships across the department and our stakeholders to improve collaborative working and encourage openness - sharing ideas, information and collateral.
 </li>
 <li>
 Encourage individuals to network and collaborate with colleagues beyond their own business areas and/or the Group to shape change and benefit the business and its customers.
 </li>
 <li>
 Must demonstrate strong business knowledge and sound business sense, and stay abreast of the industry, business-wise and technology-wise
 </li>
 <li>
 Stakeholder complexity &ndash; Business Analysts will often need gather requirements and agree designs across stakeholders, dealing with different interests and resolving disagreements and conflicts, and sometimes needing to challenge poor requirements and design decisions
 </li>
 <li>
 Solid working experience in data &amp; analytics field Demonstration of understanding in technology trends, methodologies, and tools for data &amp; analytics
 </li>
 <li>
 Experienced in technical product development and delivery using various technologies and can explain how they achieved this and the technologies used
 </li>
 <li>
 Understand and able to apply project management principles and portfolio management
 </li>
 <li>
 Communicate effectively with all levels of stakeholders, team management and conflict management skills
 </li>
 <li>
 Experienced in presenting to senior stakeholder in both business and technology
 </li>
 <li>
 Experienced on agile projects and understand the application of agile
 </li>
 <li>
 Understanding of how DevOps works and how to utilize in the agile process.
 </li>
 </ul>
</div>

Associate - Business Analyst-Business Analysis-Business Analyst

Siemens Digital Industries Software

<div>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation&mdash; helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 
 
 Are you enthusiastic about turning data into actionable insights? Do you enjoy collaborating with cross-functional teams to solve complex problems? Do you thrive in building automated processes that transform how organizations make decisions? Do you excel at creating dashboards that tell compelling stories through data?
 
 
 Then you are the perfect candidate to join our Software business as a Business Intelligence Analyst in our innovative data-driven customer success team.
 
 
 Position Overview
 
 
 You will join a newly formed data science team focused that provides immediate return on investment by delivering critical insights to our Sales and Customer Success teams.
 
 
 This key role supports the team by:
 
 
 <ul>
 <li>
 Creating insightful dashboards to support a sophisticated customer health scoring system. Our primary mission is establishing a robust warning system that identifies at-risk customers and enables proactive intervention. This role will be key for creating a data-driven customer success practice across our SaaS portfolio. You will empower our sales and customer success teams with timely insights to prevent churn and identify expansion opportunities.
 </li>
 <li>
 Creating and managing existing key dashboards used by end-users across the Global Sales, Customer Success, Customer Support, and Professional Services organization(s).
 
 
 </li>
 </ul>
 You will work within a small, high-impact technical team comprised of Data Architect and Data Scientists to build the integrations, processes, and visualizations that will transform our approach to customer success.
 
 
 Your initial focus will be on implementing a manual warning system that can quickly deliver value, while also laying the groundwork for future automation.
 
 
 An ideal candidate will have strong data analysis skills combined with technical expertise in building dashboards and data pipelines within a SaaS environment. This role will be working at the intersection of data science, customer success, and sales enablement to drive measurable outcomes for our organization. It is imperative that this individual contributor can communicate effectively and collaborate with internal global customers to successfully deploy insightful analytics for the business.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Dashboard
 </li>
 <li>
 Create comprehensive and insightful dashboards that offer actionable insights to sales teams
 </li>
 <li>
 Build reliable data pipelines between various sources and our analytics platforms
 </li>
 <li>
 Dashboard + Data security and governance administrator
 </li>
 <li>
 Perform data cleansing, transformation, and replication to ensure high-quality inputs for the Customer Health Index and other key data sources used by the organization
 </li>
 <li>
 Continuously improve dashboards and reports based on user feedback and evolving business needs
 </li>
 <li>
 Data-Related:
 </li>
 <li>
 Define and develop data products by specific use cases in our data aggregation platform
 </li>
 <li>
 Work closely with the Data Scientist to operationalize analytical models and algorithms
 </li>
 <li>
 Document data flows, definitions, and processes to ensure sustainability and scalability
 </li>
 <li>
 Cross-Functional and Requirements Gathering:
 </li>
 <li>
 Develop and implement a manual warning system for at-risk customers that can be quickly operationalized
 </li>
 <li>
 Define and establish how and where customer health information will be visible to different stakeholders
 </li>
 <li>
 Collaborate with sales teams to ensure the data insights meet their immediate needs and enhance their workflows
 </li>
 <li>
 Find patterns in customer data that can inform success strategies and expansion opportunities
 
 
 </li>
 </ul>
 Work Environment
 
 
 <ul>
 <li>
 This job is a hybrid role that requires you to be in the Siemens Pune office for at least three days each week.
 </li>
 <li>
 You must work according to the US time zones for at least three days each week.
 
 
 </li>
 </ul>
 
 Required Knowledge/Skills, Education, And Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Data Science, Data Analytics, or related field
 </li>
 <li>
 3+ years demonstrated ability in data analysis, business intelligence, or related role in a SaaS environment
 </li>
 <li>
 Strong knowledge and experience with Business Intelligence Applications, such as Tableau, CRM Analytics, and/or PowerBI
 </li>
 <li>
 Strong SQL skills and experience with Snowflake or similar cloud data platforms
 </li>
 <li>
 Python proficiency with experience in data manipulation and analysis
 </li>
 <li>
 Experience developing dashboards that deliver actionable business insights
 </li>
 <li>
 Knowledge of ETL processes and data pipeline development
 </li>
 <li>
 Experience working with sales and customer success teams to deliver data-driven insights
 </li>
 <li>
 Familiarity with customer health metrics and SaaS business models
 </li>
 <li>
 Understanding of data cleansing and quality assurance methodologies
 </li>
 <li>
 Exceptional work ethic towards data-driven decision making and process improvement
 </li>
 <li>
 Strong analytical thinking and problem-solving capabilities
 </li>
 <li>
 Superb communication skills with ability to translate technical concepts to business partners
 </li>
 <li>
 Self-motivated with ability to work independently in a fast-paced environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Salesforce CRM, Certinia, and Gainsight (or similar customer success platforms)
 </li>
 <li>
 Knowledge of pandas, data frames, and other Python data science libraries
 </li>
 <li>
 Experience with establishing data products in an enterprise environment
 </li>
 <li>
 Experience in data transformation using dbt, Alteryx, Tableau Prep, or similar tools
 </li>
 <li>
 Background in customer success operations or SaaS product analytics
 </li>
 <li>
 Experience working with globally distributed teams
 </li>
 <li>
 Salesforce or Tableau certifications desired, but optional
 
 
 </li>
 </ul>
 We offer a role with responsibility, independence, and the possibility to contribute proactively. You will be joining a dynamic team of data and SaaS experts with a highly innovative approach. We foster a teamwork culture with room for individual development, impact, and career growth.
 
 
 Why us?
 
 
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 Siemens Software. Transform the Everyday
 
 
 #SWSaaS
 
 
</div>

Business Intelligence Analyst

Explore 148+ Data analyst data management and analytics data ops data analyst in Pune India this January. Find roles across top companies and apply now to boost your career.