916 Data Analyst Jobs - Page 15

Job Description: Job Title: Data Analyst, GSA Data Divisional Office - Risk, Finance and Treasury Location: Mumbai, India Corporate Title: AVP Role Description As a member of the Group Chief Operation Office Divisional Data Office (GCOO DDO) in Group Strategic Analytics (GSA), you will be part of the team responsible for the data strategy across these business domains. Your responsibilities will focus on management of change-the-bank activities to uplift our data capabilities to meet recently revised regulatory and internal policies and standards. This is an exciting opportunity to collaborate with various groups who actively originate and consume data, including business lines, infrastructure functions and large-scale change programmes. As part of your role, you will gain a thorough understanding of how data is an integral component of our business, with oversight of GCOO data assets, the enterprise data management lifecycle and upholding expected standards to maintain global Regulatory compliance. Deutsche Bank is investing heavily in optimizing our business processes and regulatory outcomes by using data in the best ways possible, and you will be directly shaping the strategy to do so. Mandatory Text - Do not delete Group Strategic Analytics is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank s businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Assigned to several data strategy projects including related governance and KPIs Key GCOO DDO Data Analyst / Point of Contact of relevant Change The Bank and Run The Bank data priorities in partnership with Divisional Regional Stakeholders. Monitor data management related regulatory changes and gap analysis to DB processes. Drive implementation of Data Quality Control Framework to ensure completeness / accuracy / timeliness for the GCOO mandated scope of data, ensuring compliance with Strategic Data KPIs Identify most critical and strategic data to be brought under governance and facilitate right sourcing via strategic platforms Support relationships with all relevant internal and external stakeholder groups, representing the GCOO data strategy and DDO function. Your skills and experience 10+ years of experience in Banking, ideally data-management related roles Experience of managing complex change programmes (ideally cross-divisional and cross-location) Data analysis: ability to investigate and present details of lineage, completeness, and transformations performed upon data via flows and processes Ideally experience in the usage of Industry standard data management tools such as Collibra and Solidatus Demonstrable experience in translating Core Data Standards into practical implementation. Excellent organizational skills and a high attention to detail with the ability to work under pressure and to deliver to tight deadlines. Excellent interpersonal skills with demonstrable ability to engage and influence stakeholders. Strong communication skills, both written and verbal, ability to explain complex problem in a clear and structure way. How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

karmanX - Expert-Led Career Programs in Full Stack & Data Analytics About the job Company Description karmanX is looking for some highly-dedicated Data Analysts to analyse student data and get the dynamic dashboards created with insights. Role Description This is a full-time remote role for a Data Analyst at karmanX. The Data Analyst will be responsible for analyzing data, creating data models, and utilizing statistical methods to interpret and present findings. The role will also involve effective communication of complex data-driven insights. Qualifications Analytical Skills, Data Analytics, and Statistics Strong Communication skills Data Modeling expertise Bachelors or Masters degree in Data Science, Statistics, Mathematics, or related field Experience with data visualization tools Strong problem-solving abilities Ability to work independently and collaboratively in a remote team Passion to deal with data sets 0-1 years of experience Remote work Current Employment Status How many years of work experience do you have

What you ll do: In this role you will working on Customer data cleaning and enrichment for Eatons electrical North America business. The Asso. Data Analyst will ensure that the customer data meets the required data quality by analyzing various attributes of the customer data. The candidate will be responsible for golden record name and address clean-up, merging of potential matches, DUNS number assignment, Hierarchy and selling relationship management. "1. Work directly with the sales and marketing teams in ES NA to improve the customer master data in Customer data hub (Reltio), ERP & CRM 2. Merge potential matches identified in Reltio to improve unique records ratio 3. Clean and improve the customer data attributes like Name, Address, DUNS, Segmentation & Hierarchy 4. Support the sales and Marketing team to improve the customer data quality by identifying the data gaps and closing them with the help of the business data owners 5. Discover and interpret data gaps and anomalies in account master data 6. Create a structured and well-defined data overview by analyzing the customer data from multiple sources 7. Make clean, enriched, and high quality (Accurate, Complete, Unique, Consistent & Relevant) customer data available for consumption by various business systems and processes 8. Meet the SLA & TAT for the activities as agreed by the business 9. Perform assigned tasks by superiors and seniors in the organization with high standards of quality & dedication 10. Work as a team player and put teams/business s best interest first" Qualifications: Graduation in Computer Science or Engineering in any stream Experience of 2 to 4 years in managing master data or customer data analysis Skills: "1.Candidate must be good in understanding the customer master data and find the anomalies in it. 2.Candidate must have good experience in advance excel (Lookups, pivot table, formulae, keyboard short cuts etc..). 3.Understanding of business process and effective communication. 4.Should be able to report his/her work effectively 5.Knowledge about CRM is good to have " "Self-management skills, quick learner and taking initiative and influencing decisions through others. Must be attentive to details, innovative and with strong prioritization skills. Good communication skills in English, both written and verbal."

Number of Openings* 6-7 ECMS ID Duration of contract* 4 months (Can be extended) Total Yrs. of Experience* > 4years Relevant Yrs. of experience* 4+ Detailed JD *(Roles and Responsibilities) Attached Mandatory skills* In JD Desired skills* In JD Domain* Flexible Approx. vendor billing rate* 150- 170 USD Precise Work Location* Bangalore, Pune, Delhi Client Background check process to be followed: * As per the process Mode of Interview: Telephonic/Face to Face/Microsoft teams Microsoft Teams

Job Description:

Join our dynamic team as a Reference Data Analyst, where youll play a pivotal role in managing and maintaining Client reference data within our cutting-edge Party Central applications. In this exciting position, youll collaborate with requestors and business partners, leveraging your strong analytical skills to conduct insightful data analysis and ensure the accuracy and integrity of our data. Job Summary As a Reference Data Analyst within the Party Central applications team, you will manage and maintain client reference data. You will liaise with requestors and business partners, conduct data analysis, and maintain MIS reports, all while leveraging your strong analytical skills and teamwork abilities. Job Responsibilities Lead daily operations related to Party Central, focusing on setup, maintenance, and updates on client accounts. Validate and diligently review documentation Ensure requests are authorized and clearly understood before actioning. Ensure the procedural guidelines are followed without any misses Proactively resolve open issues and escalations, keeping Management in the loop Act as a primary contact for internal stakeholders, ensuring effective communication. Manage training needs of the team along with ensuring completion of the mandatory targets Provide expertise on client hierarchies, ownership structures, and regulatory obligations. Support audit requirements with timely and accurate data retrieval and documentation. Develop and maintain standard operating procedures and control frameworks. Required Qualifications, Skills, and Capabilities University graduate with 2 years of experience in financial services or related industries. Fluency in written and spoken English with strong communication skills. Proficiency in party reference data, client onboarding, and KYC processes. Proficient in advanced Excel and PowerPoint, with strong analytical skills and attention to detail. Join our dynamic team as a Reference Data Analyst, where youll play a pivotal role in managing and maintaining Client reference data within our cutting-edge Party Central applications. In this exciting position, youll collaborate with requestors and business partners, leveraging your strong analytical skills to conduct insightful data analysis and ensure the accuracy and integrity of our data. Job Summary As a Reference Data Analyst within the Party Central applications team, you will manage and maintain client reference data. You will liaise with requestors and business partners, conduct data analysis, and maintain MIS reports, all while leveraging your strong analytical skills and teamwork abilities. Job Responsibilities Lead daily operations related to Party Central, focusing on setup, maintenance, and updates on client accounts. Validate and diligently review documentation Ensure requests are authorized and clearly understood before actioning. Ensure the procedural guidelines are followed without any misses Proactively resolve open issues and escalations, keeping Management in the loop Act as a primary contact for internal stakeholders, ensuring effective communication. Manage training needs of the team along with ensuring completion of the mandatory targets Provide expertise on client hierarchies, ownership structures, and regulatory obligations. Support audit requirements with timely and accurate data retrieval and documentation. Develop and maintain standard operating procedures and control frameworks. Required Qualifications, Skills, and Capabilities University graduate with 2 years of experience in financial services or related industries. Fluency in written and spoken English with strong communication skills. Proficiency in party reference data, client onboarding, and KYC processes. Proficient in advanced Excel and PowerPoint, with strong analytical skills and attention to detail.

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 2 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 8 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. Job Summary As a Client Data Analyst within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 2 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary As a Payment Lifecycle Analyst withinJPMorgan Chaseour Global Core Cash Operations team, you will perform data analysis in a 24 X 5 environment, supporting regions across Asia, EMEA, and WHEM. You will report directly to the Vice President/Executive Director and will be responsible for turning information into insight and insight into business proposals. Your role will encompass full lifecycle activities, including requirements analysis and design, developing analysis and reporting capabilities, and continuously monitoring performance and quality control plans to identify improvements. This role provides an opportunity to contribute significantly to our operations and to develop your skills in a dynamic and global environment. Job Responsibilities Lead a small team of analysts in executing specific projects or initiatives. Collaborate with the manager to develop best practices for data management, analysis, and visualization. Support the team in data collection, analysis, and reporting to deliver actionable insights to stakeholders. Act as a liaison between the team and internal stakeholders to ensure alignment of various initiatives with business objectives. Provide guidance and support to team members in executing projects and developing new skills in data analysis. Assist in the development of project timelines, resource allocation, and performance management for the team. Interpret data, analyze results using statistical techniques, and provide ongoing reports. Acquire data from primary or secondary data sources and maintain databases/data systems. Locate and define new process improvement opportunities. Monitor all relevant Management Information System data, ensuring all issues are resolved expediently. Ensure that all work items are completed as per the agreed SLA. Required Qualifications, Skills and Capabilities Graduate with Minimum 4 and Financial Operations Processing experience Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, etc) Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Excellent written oral communication skills in English. Strong personal computer and analytical skills. Good analytical skills and knowledge of MS Access, Excel, PowerPoint, and Word. Preferred Qualifications, Skills and Capabilities Preferred working experience as a data analyst Working Knowledge of SWIFT international payment conventions practices would be plus Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

As a Client Data Specialist within our KYC quality reviewer team, you will be reviewing the records completed by the production team to ensure all client KYC records are compliant with regulatory standards. You will ensure high quality and timely completion of all client-level due diligence and assist in end-to-end operations review. This role will require you to perform research to ensure a client s KYC profile is appropriately updated and any discrepancies or issues with the profile escalated to the appropriate lines of business. Job Responsibilities Analyze confidential client data from both public and internal sources to ensure compliance with KYC requirements. Understand and apply the firms KYC requirements, including various due diligence processes such as Customer Identification Program (CIP), Standard Due Diligence (SDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD), and Product Due Diligence (PDD). Identify discrepancies in KYC records, suggest necessary amendments, and escalate any Anti-Money Laundering (AML) red flags to the compliance team. Ensure that all record reviews are completed within specified deadlines and Service Level Agreements (SLAs). Review of confidential client data via publically available and internal sources Maintain high standards of customer service while handling sensitive information, ensuring confidentiality for both internal and external clients. Compare and contrast differences within KYC records , highlight amendments required to production team and also highlight escalate to compliance incase of AML Red flags Handle and maintain confidential client documentation. Demonstrate ability to comprehend the KYC risk factors and draft the overall risk summary for the client. Required qualifications, capabilities and skills Bachelor s Degree and/or Graduate Degree Knowledge of KYC is essential with at least 5 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with strong customer service skills (e.g. oral and written communication skills) Ability to multi-task and meet deadlines against a high volume work schedule Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

As a Client Data Specialist within our KYC quality reviewer team, you will be reviewing the records completed by the production team to ensure all client KYC records are compliant with regulatory standards. You will ensure high quality and timely completion of all client-level due diligence and assist in end-to-end operations review. This role will require you to perform research to ensure a client s KYC profile is appropriately updated and any discrepancies or issues with the profile escalated to the appropriate lines of business. Job Responsibilities Analyze confidential client data from both public and internal sources to ensure compliance with KYC requirements. Understand and apply the firms KYC requirements, including various due diligence processes such as Customer Identification Program (CIP), Standard Due Diligence (SDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD), and Product Due Diligence (PDD). Identify discrepancies in KYC records, suggest necessary amendments, and escalate any Anti-Money Laundering (AML) red flags to the compliance team. Ensure that all record reviews are completed within specified deadlines and Service Level Agreements (SLAs). Review of confidential client data via publically available and internal sources Maintain high standards of customer service while handling sensitive information, ensuring confidentiality for both internal and external clients. Compare and contrast differences within KYC records , highlight amendments required to production team and also highlight escalate to compliance incase of AML Red flags Handle and maintain confidential client documentation. Demonstrate ability to comprehend the KYC risk factors and draft the overall risk summary for the client. Required qualifications, capabilities and skills Bachelor s Degree and/or Graduate Degree Knowledge of KYC is essential with at least 5 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with strong customer service skills (e.g. oral and written communication skills) Ability to multi-task and meet deadlines against a high volume work schedule Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

As a Client Data Specialist within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 6 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

As a Client Data Specialist within our KYC/AML team, you will be responsible for understanding and implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML interactions, offering a challenging and rewarding environment for growth and development. Job Responsibilities Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 6 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment & motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Understand and implement of KYC standards, guidelines, policies, and procedures. Handle and maintain confidential client documentation. Understand the firm s KYC requirements when completing documentation inclusive of Customer Identification Program (CIP), Minimum Due Diligence (MDD), Enhanced Due Diligence (EDD), Local Due Diligence (LDD), Specialized Due Diligence (SpDD) and Product Due Diligence requirements (PDD) Review of client data/processes to meet firm wide quality standards Interpret alerts and communicating to management when applicable Engage with Middle office and be part of KYC/AML interactions to complete the case as per the timeline. Required qualifications, capabilities and skills Bachelor s Degree or Graduate Degree. Knowledge of KYC is essential with at least 5 years experience (Audit, Control, Risk, AML, and Research may also be areas of experience) Strong research, analytical and comprehension skills, with ability to analyze large amounts of data Client focused with great customer engagement skills Experience in adhering to controls and compliance standards Self-starter with high levels of commitment motivation to work with data, fix issues and achieve success in a team environment Role: Data Analyst Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate

Role : Senior HR Data Analyst Location : Coimbatore, Bangalore, Hyderabad, Pune , Chennai Notice Period : Immediate joiners Interested people please share your resume to ""vasanth@vegaintellisoft.com"" Job Description: 1. Strategic Insight Development: Develop and execute a comprehensive strategy for HR data and analytics aligned with the companys vision and objectives. Proactively identify areas where HR data can provide insights to drive organizational performance and improve employee experience. Create and maintain a roadmap for HR analytics capabilities, focusing on predictive and prescriptive analytics. 2. Data Analysis & Reporting: Build scalable and accessible dashboards that provide real-time HR insights to key stakeholders. Conduct in-depth analyses of workforce trends, employee performance, engagement levels, and other key HR metrics. Deliver strategic reports and presentations that highlight critical data-driven insights and inform HR initiatives. 3. Predictive and Prescriptive Analytics: Leverage data science techniques to forecast future workforce trends, attrition risks, and talent needs. Identify root causes of HR challenges, such as attrition or low engagement, and recommend data-driven solutions. Develop models to understand behaviors of high and low performers and guide leadership on talent management strategies. 4. Collaboration & Communication: Act as a data advocate within HR, promoting a culture of evidence-based decision-making. Collaborate closely with HR leaders and other departments to identify their data needs and ensure integration across business functions. Communicate complex data insights in an understandable and actionable manner to non-technical audiences. 5. Technology & Automation: Identify and implement HR technology solutions that enhance data collection, analytics, and reporting capabilities. Work with IT to ensure data integrity, security, and integration across HR systems. Explore the use of automation (e.g., RPA) to streamline HR operations and enhance data utilization. 6. Continuous Improvement: Regularly review and refine analytics processes to align with evolving business needs. Keep abreast of industry trends and new technologies in data analytics to maintain a cutting-edge HR data strategy. Train and mentor HR team members to build their data literacy and analytical capabilities. Technical Skills: Proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms. Strong knowledge of statistical analysis and predictive modeling. (Tableau & R) Familiarity with data manipulation languages (e.g., SQL, Python) is an advantage.

As a Data Scientist and Data Analyst, you will be responsible for analyzing and interpreting complex data sets to provide valuable insights to the business. Your role will involve leveraging your analytical skills to drive informed decision-making and help improve the quality of performance and success within the organization. You will be expected to approach your work with a positive attitude, demonstrating a strong work ethic and a commitment to excellence. By continuously striving to enhance your level of expertise, you will contribute to the overall success of the team and the company. Your ability to extract meaningful information from data and translate it into actionable recommendations will be crucial in supporting business objectives and driving growth. Join us in our mission to harness the power of data and make a tangible impact on the organization's performance.,

Data Gathering and Analysis: Collect and organize data from multiple sources, ensuring data quality and integrity Analyse large datasets to identify trends, patterns, and insights Reporting and Visualization: Prepare reports, dashboards, and data visualizations to present findings and recommendations to stakeholders effectively Data Quality Assurance: Implement data validation and cleansing processes to ensure accuracy and reliability of data Collaborate with IT Teams: Work closely with IT professionals to understand data infrastructure, data governance policies, and ensure data security and privacy standards are met Problem Solving: Use analytical skills and critical thinking to identify and solve complex business problems through data analysis Educational Qualification A bachelors degree in a relevant field such as computer science, information technology, mathematics, statistics, or a related discipline is typically required

Ability to interact closely with Business Stakeholder onunderstanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions,performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementingthe best practices on timely Manner. Analyzes the results to generate actionable insights andpresents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associatedwith datasets Provides updates on project progress, performs root causeanalysis on completed projects and works on identified improvement areas (likeprocess, product quality, performance, etc.) Provides post-implementation support and ensures thetarget project benefits are successfully delivered in a robust and sustainablefashion Builds relationships and partners effectively with cross-functionalteams to ensure available data is accurate, consistent and timely Mandatory Skills required to performthe job: Knowledge on the software development lifecycle expert in translating business requirements into technical solutions; and fanatical about quality, usability, security and scalability Specialist in Power Platform (Power Apps & Power Automate) Experience with JavaScript, Power Fx, create plugins, custom app and canvas/model driven, page development, web API creation, data/Cloud flow, Dataverse. Expert in Reports & Dashboard development (Power BI) Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Experience in Data Base Development, Troubleshooting & Problem-solving skills (SQL Server, SAP HANA, Azure Synapse) Experience in project requirements gathering and converting business requirements into analytical & technical specs. Good understanding of business processes and experience in Manufacturing/Inventory Management domains Knowledge in performing Root cause analysis and Corrective actions Excellent verbal and written communication & presentation skills, able to communicate cross-functionally Desirable Skills: Agile/SCRUM development using any tools Understanding of enterprise server

Would like to find CNC and JDE backend setup skillsets Package Management (create and deploy package) Security data management System configuration (LDAP, SSL Certs) Oracle package updates (ESU) Server Admin Toolset UPK (User Productivity Kit) Admin Oracle Addon Nice to have Other high value non-JDE skillsets Scripting Data Analyst role and background to understand data and data relationships

The ideal candidate for the Data Analyst position at KPMG in India should possess a B.E. degree and have a strong background in data analysis and interpretation. As a Data Analyst at KPMG, you will be responsible for analyzing data to provide insights that will help drive business decisions and strategies. You will work closely with both national and international clients across various sectors, leveraging your expertise to deliver rapid, performance-based, industry-focused, and technology-enabled services. KPMG entities in India are professional services firms affiliated with KPMG International Limited, with offices across the country in cities like Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara, and Vijayawada. Established in India in August 1993, KPMG professionals in India tap into the global network of firms while being well-versed in local laws, regulations, markets, and competition. If you are passionate about data analysis, thrive in a dynamic and challenging work environment, and are looking to make a meaningful impact through your analytical skills, then this Data Analyst position at KPMG in India is the perfect opportunity for you. Join us in our mission to provide top-notch services that reflect our deep understanding of global and local industries and our extensive experience in the Indian business landscape.,

" Jubilant Bhartia Group Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees. Jubilant Pharmova Limited Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses. In the Radiopharma business, the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company s Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules. The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies. The Position Organization- Jubilant Pharmova Limited Designation - Data Analyst Location- Noida Job Summary: We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal incumbent will be responsible for collecting, processing, and analysing large datasets to uncover insights that drive strategic decision-making. You will work closely with cross-functional teams to identify trends, create visualizations, and deliver actionable recommendations that support business goals Key Responsibilities. Drive business excellence by identifying opportunities for process optimization, automation, and standardization through data insights. Design, develop, and maintain robust ETL pipelines and SQL queries to ingest, transform, and load data from diverse sources. Build and maintain Excel-based dashboards, models, and reports; automate repetitive tasks using Excel macros, Power Query, or scripting tools. Ensure data quality, integrity, and consistency through profiling, cleansing, validation, and regular monitoring. Translate business questions into analytical problems and deliver actionable insights using statistical techniques and data visualization tools. Collaborate with cross-functional teams (e.g., marketing, finance, operations) to define data requirements and address business challenges. Develop and implement efficient data collection strategies and systems to optimize accuracy and performance. Monitor and troubleshoot data workflows, resolving issues and ensuring compliance with data privacy and security regulations. Document data processes, definitions, and business rules to support transparency, reuse, and continuous improvement. Support continuous improvement initiatives by providing data-driven recommendations that enhance operational efficiency and decision-making. Contribute to the development and implementation of best practices in data management, reporting, and analytics aligned with business goals . Person Profile . Qualification - Bachelor s / Master s degree in Computer Science, Information Systems, Statistics, or a related field. Experience 4-6-Years. Desired Certification & Must Have- 4 6 years of experience in data analysis, preferably in the pharmaceutical industry. Advanced proficiency in SQL (joins, CTEs, window functions, optimization) and expert-level Excel skills (pivot tables, advanced formulas, VBA/macros). Strong understanding of data warehousing, relational databases, and ETL tools (e.g., SSIS, Talend, Informatica). Proficiency in data visualization tools (e.g., Power BI, Tableau) and statistical analysis techniques. Solid analytical and problem-solving skills with attention to detail and the ability to manage complex data sets and multiple priorities. Excellent communication and documentation skills to convey insights to technical and non-technical stakeholders. Familiarity with data modelling, database management, and large-scale data manipulation and cleansing. Demonstrated ability to work collaboratively in Agile/Scrum environments and adapt to evolving business needs. Strong focus on process optimization, continuous improvement, and operational efficiency. Experience in implementing best practices for data governance, quality assurance, and compliance. Ability to identify and drive initiatives that enhance business performance through data-driven decision-making. Exposure to business domains such as finance, operations, or marketing analytics with a strategic mindset Jubilant is an equal opportunity employer. . ",

As a Senior Associate at PwC, you will be part of a team of problem solvers, assisting in solving complex business issues from strategy to execution through the utilization of Data, Analytics & Insights skills. Your responsibilities at this level include: - Using feedback and reflection to enhance self-awareness, capitalize on personal strengths, and address areas for development. - Demonstrating critical thinking and the capability to bring structure to unstructured problems. - Reviewing ticket quality and deliverables, providing status reports for projects. - Ensuring adherence to SLAs, with experience in incident management, change management, and problem management. - Reviewing your work and that of others for quality, accuracy, and relevance. - Knowing when and how to utilize available tools for various situations and being able to explain the rationale behind those choices. - Seeking and embracing opportunities that expose you to different situations, environments, and perspectives. - Being flexible to engage in stretch opportunities and assignments. - Communicating straightforwardly and structuredly to influence and connect with others effectively. - Reading situations adeptly and adjusting behavior to cultivate quality relationships. - Upholding the firm's code of ethics and business conduct. - Collaborating in a team environment involving client interactions, workstream management, and cross-team collaboration. - Being a good team player, taking on cross-competency work and contributing to COE activities. - Managing escalations and risks effectively. In this role, the primary skill required is expertise in ServiceNow ITSM, HRSD, ITOM, ITBM, CMDB, ATF, and Javascript. Secondary skills include proficiency in Reporting, Selenium, Java, Cucumber, Azure DevOps, and Git. As a Data Analyst, you are expected to have: - Minimum 5 years of hands-on experience with ServiceNow applications like GRC/IRM, ITSM, ITBM. - Minimum 5 years of practical experience with ITIL and ITSM modules. - Ability to comprehend complex business and functional requirements. - Superior analytical skills to analyze user, functional, and technical requirements. - Proficiency in deriving test scenarios from business requirements and writing detailed test cases based on user scenarios. - Understanding of analyzing test execution results and creating appropriate test metrics. - Familiarity with the defect management process and ServiceNow Test Management. - Knowledge of automation testing concepts and hands-on experience with ServiceNow ATF. - Capability to enhance automation scripts for building a regression suite. - Understanding of software testing techniques and strategies, including Mobile Testing. - Knowledge of various Test Management and Defect Management tools. - Excellent analytical skills and problem-solving abilities. Certifications in ServiceNow (CSA, ITIL, ATF) and ISTQB Certification are considered nice-to-have qualifications. Soft skills required include exceptional written and verbal communication skills, strong problem-solving abilities, autonomy and effective collaboration within diverse teams, proactive mindset focused on continuous improvement in quality assurance processes, and adaptability to manage multiple priorities in dynamic, fast-paced environments.,

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

Role : Senior Data Analyst Location : Bangalore Experience : 8 - 10 Yrs Employment Type : Full Time, Permanent Working mode : Regular Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making. The ideal candidate will have a strong foundation in SQL, data cleaning, statistical analysis, and data visualization. This role will involve working closely with cross-functional teams to uncover actionable insights from large datasets and communicate findings effectively to stakeholders. Responsibilities : Data Analysis and Modeling : - Develop and execute complex SQL queries to extract, transform, and load data from various sources. - Conduct in-depth statistical analysis, including hypothesis testing, regression analysis, and time series analysis. - Build and maintain data models to support analytical needs and reporting requirements. Data Cleaning and Preprocessing : - Identify and address data quality issues, such as missing values, inconsistencies, and outliers. - Perform data cleaning and transformation tasks to ensure data accuracy and consistency. Data Visualization : - Create compelling data visualizations using tools like Python (Matplotlib, Seaborn), Tableau, or Power BI. - Communicate complex findings clearly and effectively to both technical and non-technical audiences. Project Management : - Collaborate with cross-functional teams to understand business requirements and define analytical objectives. - Manage data analysis projects from start to finish, including planning, execution, and reporting. Cloud Platform Utilization : - Leverage Microsoft Azure services (e.g., Azure Data Factory, Azure SQL Database, Azure Machine Learning) to build and scale data pipelines. - Demonstrate a strong understanding of cloud-based data storage, processing, and analytics. Qualifications : - Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. - 8+ years of experience in data analysis or a similar role. - Strong proficiency in SQL and data manipulation techniques. - Experience with statistical analysis methods (e.g., hypothesis testing, regression analysis). - Expertise in data visualization tools (e.g., Python, Tableau, Power BI). - Familiarity with cloud computing platforms, particularly Microsoft Azure. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with data mining and machine learning techniques. - Knowledge of scripting languages (e.g., Python, R). - Experience with data governance and data quality management.