31 Data Enrichment Jobs - Page 2

Project Role : Business Agility Practitioner Project Role Description : Professionals who provide business agility and technology innovation advisory services focused on organizational transformation in order to aid clients in outlearning and outperforming the competition. Must have skills : Business Requirements Analysis Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Agility Practitioner, you will provide business agility and technology innovation advisory services to aid clients in outlearning and outperforming the competition. You will play a crucial role in organizational transformation and help clients achieve their business goals. Roles & Responsibilities: 5-8 years relevant work experience in delivering projects using the agile methodology for Risk (preferably Market Risk in Investment or Corporate Banking) and Finance projects especially around data sourcing Understanding data concepts and being able to perform data analysis. Proficient use of SQL and Python Ability to assimilate information quickly, make informed decisions, ability to use own initiative to resolve issues/ investigate and find solutions. Regular and confident interaction with end-users and customers having strong focus on delivering strategic solutions for the business. Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead and facilitate workshops to identify business requirements and translate them into actionable plans. Develop and implement strategies to improve business agility and drive innovation. Analyze and evaluate existing business processes to identify areas for improvement. Collaborate with stakeholders to gather and document business requirements. Identify and recommend solutions to address business challenges and achieve desired outcomes. Professional & Technical Skills: Must To Have Skills:Proficiency in Business Requirements Analysis. Strong understanding of business process modeling and analysis. Experience in conducting stakeholder interviews and workshops. Ability to translate business requirements into functional specifications. Good To Have Skills:Experience with Agile methodologies. Knowledge of business process automation tools. Familiarity with data analysis and visualization tools. Understanding of change management principles. Additional Information: The candidate should have a minimum of 5 years of experience in Business Requirements Analysis. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

Job Title:GN - SC&O - S&P Data Specialist Management Level:09 - Specialist | Location:Bangalore Must have skills:Data Science KEY RESPONSIBILITIES Data Specialist work closely with the Head of Data Services and Products teams on delivering project independently, leading data analysts to carry out defined pieces of data analysis and secondary market research. Typical work streams: Client/External Supplier Interaction Liaison with various clients/suppliers and establish long-term relationship. Set expectations with customer on deliverables, negotiate on requirements, and obtain signoffs on thefinal deliverable. Lead data extraction efforts and guide data analysts in obtaining and analyzing it. Project Management Manage data analysts to adhere to project deadlines. Align with all internal teams to ensure buy-in from all stakeholders on the critical process pieces. Have formal weekly status review meetings with the delivery team/ CSM's/ Management as well as thecustomer. Understand and resolve any internal or external issues with the processed data or product effectivelyand efficiently. Data Management Guide data analysts and drive end to end data handling from collection to deliverable publish. Ensure that the process is fully documented and auditable. Solve day-to-day process problems as well as logical issues identify innovative approaches andsolutions. Work Experience: 5+ years of project management experience on Spend Analysis/ Procurement domain experience.Academic Qualifications:Masters or Bachelors in Engineering, Mathematics, Computer Science, Business orEconomics Skills Required: Strong leadership and team management skills Excellent analytical and research capabilities comfort and proficiency in handling large data analysisand secondary market research Good spoken and written (English) communication skills should be able to participate in global teamcalls. Excellent MS Excel skills ability to guide others in handling and structuring analysis. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovativeapproaches to problems/issues in data processing.Additional Skills/Experience Desired: Background in Data Management (knowledge of analytical tools like SAS, Alteryx, Qlik sense anddatabase tools like MS Access, SQL/Oracle database) Knowledge of taxonomies like UNSPSC, NAICS, SIC, E-Class, HTS and other custom specific taxonomies Knowledge of E2E automation for the data classification/Vendor Normalization process through ETL,Scripts or KB Lookups Knowledge of the sourcing, contract management, vendor discovery assessment, vendor riskmanagement, invoice reconciliation & leakage detection, spend miner services, P2P process, etc..

Data Analysis & Insights, Retail Data Analytics, Data Processing, Statistical Modeling & Forecasting, Reporting. WhatsApp CV only text +91 8660770495 (no unsch calls pls) Email CV: cv@archangelhr.in, hr@archangelhr.in, hi@archangelhr.in Required Candidate profile B.Tech or equal, with hands-on industry experience in data analysis, R or Python

Automate incident response by designing, developing, and maintaining SOAR playbooks and workflows to streamline threat detection and mitigation Integrate security tools (SIEM, EDR, threat intel platforms) with the SOAR solution to enhance visibility and orchestration Collaborate with SOC and security engineering teams to identify manual processes for automation and to optimize operational workflows Develop custom scripts (Python, PowerShell, Bash, JavaScript) to support playbook logic, data enrichment, and API interactions

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Operations Job Details About Salesforce We re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you ve come to the right place. Job Description: We are seeking a highly motivated and detail-oriented Individual to join our team, focusing on Account Data Management & Enrichment. In this role, you will support the organizations data management initiatives to drive better decision-making and provide insights on key accounts and market opportunities. The ideal candidate will be skilled in data analysis, account profiling, and have experience working with various external data sources to enhance the companys understanding of industry-specific accounts. Key Responsibilities: Account Data management & Enrichment: Maintain, organize, and enrichment of account data at an industry/sub-industry level, ensuring that data is accurate and up to date. Net New Account Discovery: Leverage external data sources to identify new accounts and prospects that align with the company s target audience and growth objectives. Industry Focus: Concentrate on high-priority industries such as Market Research, Account Discovery, Deduplication, and Tiering to identify and prioritize top accounts. Account Profiling: Conduct in-depth profiling of key accounts, including analysing their technology stack, financial metrics, account footprint, and competition mapping to gain a holistic view of the account landscape. Ad-hoc Data Intelligence Support: Provide ad-hoc support for data-related intelligence requests, including custom reports and data insights to support Sales & Strategy Organisation Customer Lookalike Mapping: Use data to identify whitespace opportunities by mapping customer lookalikes, helping to understand where additional growth potential exists. Desired Skills: Proficient in using data analysis tools (Google sheet, Snowflake,Tableau, etc.), CRM platforms (Salesforce), and external data sources for account discovery. Experience with data enrichment tools or platforms. Analytical Skills: Strong ability to analyze and interpret large data sets to extract meaningful insights and provide actionable recommendations. Communication: Excellent verbal and written communication skills to present data insights and collaborate effectively across teams. Attention to Detail: High attention to detail to ensure data accuracy and quality in all aspects of work. - Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies or the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.) Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an experienced MDM Manager with 10–14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years) . Roles & Responsibilities Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Match/Merge and Survivorship strategy and implementation experience D esign and delivery of MDM processes and data integrations using Unix, Python, and SQL. Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals. Establish data quality metrics and monitor compliance using automated profiling and validation tools. Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs). Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Lead custom UI design for better user experience on data stewardship Basic Qualifications and Experience Master’s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines Very good understanding on reference data, hierarchy and its integration with MDM Hands on experience with custom workflows AVOS , Eclipse etc Strong experience with external data enrichment services like D&B, Address doctor etc Strong experience on match/merge and survivorship rules strategy and implementations Strong experience with group fields, cross reference data and UUIDs Strong understanding of AWS cloud services and Databricks architecture. Proficiency in Python, SQL, and Unix for data processing and orchestration. Experience with data modeling, governance, and DCR lifecycle management. Proven leadership and project management in large-scale MDM implementations. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations Must have worked on atleast 3 end to end implementations of MDM Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications Any MDM certification ( e.g. Informatica , Reltio etc ) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.