958 Data Cleansing Jobs - Page 17

You are a highly skilled and detail-oriented migrations specialist, responsible for planning, executing, and managing seamless data transfer between platforms. Your role involves reconciling and analyzing financial data, reporting key progress metrics, ensuring data integrity, and optimizing migration processes. Strong data analysis skills and a comprehensive understanding of data workflows, databases, and best practices for data migration are essential. Additionally, you will lead junior staff, manage planning, and oversee work delivery. Your key responsibilities include collaborating with stakeholders to understand migration requirements, scope, and objectives, identifying risks, and developing effective mitigation strategies. You will perform data mapping, ensuring accuracy and consistency, and maintain data quality throughout the migration process. Data reconciliation, verification, documentation, and tracking of issues until resolution are crucial tasks. Moreover, you will create detailed documentation, playbooks, and operational workflows for new datasets/systems, provide expert-level support, troubleshoot, and communicate effectively with clients. To qualify for this role, you should have a Bachelor's degree in Engineering, Computer Science, Finance, Maths, Statistics, or a related field, along with 2-5 years of experience as a data analyst/lead in financial or data reconciliation. Proficiency in Microsoft Excel and other MS Office tools, database technologies (e.g., SQL Server, Oracle, MySQL), and strong SQL scripting abilities are preferred. Knowledge of accounting principles and financial statements is advantageous. Excellent written and verbal communication skills, the ability to present complex data clearly, attention to detail, time management skills, and leadership capabilities are also essential. You will prepare comprehensive reports, presentations, and dashboards for senior management, highlighting key results and metrics. Your role involves investigating, troubleshooting, and providing effective communication with clients. Your expertise in data analysis and migration processes will be instrumental in ensuring successful data transfers and maintaining data integrity.,

Description : Zeta Global is seeking a Solutions Associate for our Data Cloud Applications team to drive operational excellence, client support, and solution innovation. This role provides critical leverage to the team by supporting projects related to knowledge sharing, operational execution, and strategic solution enhancement. The Solutions Associate will work closely with Zetas key partners to help win new business, grow existing accounts, and maintain their competitive edge. They will have the autonomy to develop unique working models that best fit their strengths and workflow preferences while maintaining strong collaborating with the broader Zeta team and client stakeholders. The Solutions Associate will play a key role in informing Zetas product roadmap by capturing client feedback and identifying opportunities for greater efficiency and effectiveness. Success in this role will be measured by the ability to deliver on critical client requests and contribute meaningfully to client satisfaction and long-term growth. Roles & Responsibilities Develop a comprehensive understanding of the Zeta Data Cloud Identity Graph, attributes, and signals to support audience curation and data-related inquiries Demonstrate a deep understanding of Zetas Opportunity Explorer solutions, with the ability to demo these solutions internally and externally Identify strategic opportunities from Data Cloud Intelligence solutions and present actionable findings to client stakeholders during insight readouts. Act as a primary point of contact for Data Cloud-related questions from client account teams, providing accurate and timely support. Offer strategic recommendations during RFP responses, identifying creative applications of Zetas identity, intelligence, and activation solutions to differentiate client proposals. Train client account teams on how to leverage Data Cloud Intelligence solutions, enhancing client teams' ability to independently utilize platform features Support day-to-day Data Cloud operational requests, ensuring smooth execution of client initiatives Independently kick off and troubleshoot Data Cloud reports, ensuring timely and successful delivery to stakeholders. Audit and maintain client accounts, verifying that all requested solutions are accurately loaded and active. Capture client needs and feedback that align with the Zeta product roadmap, acting as a liaison between client teams and Zetas Product team. Advocate for client-driven enhancements, ensuring client needs are communicated clearly to influence future platform developments Qualifications Thrives in a challenging, fast-paced entrepreneurial environment with real-time impact on day-to-day business, championing a high agency mindset Highly organized and detail-oriented, with proven ability to manage multiple projects and prioritize effectively under dynamic conditions Analytical thinker, comfortable with quantitative analysis and data interpretation Translates complex data findings into clear, concise, and compelling narratives tailored to various audiences Creative problem-solver who can think outside the box to develop innovative solutions Collaborative team player with strong independent working skills; self-motivated and dependable in driving initiatives forward Proficient in Excel (VLookups, Pivot Tables, Logic-based queries, data cleaning & filtering) Advanced in Microsoft PowerPoint for professional client-facing presentations Preferred Qualifications Expert in Microsoft PowerPoint Proficient in Tableau Working understanding of SQL and relational databases

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

The role holder will work closely together with the Transformation and MA team Key activities will be: Providing data insights, analysis and research Processing interview materials to support teams to build robust recommendations Preparing material, presentations, Creating reports dashboards Project management including tracking and reporting Participating in end-to-end process assessments mapping for projects Keeping playbooks, tools, templates up to date Support portfolio reviews Formal education requirements Degree level education or masters (MBA), supplemented by professional certifications/ qualification in one or many of the transformation capabilities/ skills. Skills: Demonstrate shared commitment to team su ccess and ability to partner , strong collaborative capabilities Problem solving , critical thin king logical structuring of business challenges Experience of working within a projectized environment - Ability to lead multiple tasks and deadlines Good communicator - strong writing and presentation build skills Familiarity with a Project Delivery Methodology including Agile Consulting Skills - excellent communication and social skills , a daptability, collaboration Ability to handle multiple sources of information to provide insights Essential Experience and Job Requirements: Possess a global perspective and understanding of bp s strategy, experience in the energy sector, 5+ years experience, consultancy background Technical: Analytical Thinking ability to interpret data and draw important insights - ability to lead multiple sources of information to provide insights Delivery Methods Identifying the appropriate delivery method (waterfall, agile, hybrid) Exposure to project implementations and experience of documenting requirements Technical skills fluency in use of technology to accelerate working (e.g. use of co-pilot and other AI, boards to handle work, PowerBI , Salesforce etc.)

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

About this role: Wells Fargo is seeking for a Data Product Management Consultant In this role, you will: Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps Adhere to data governance standards and procedures Identify data quality metrics and execute data quality audits to benchmark the state of data quality Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis Provide support to regulatory analysis and reporting requirements Recommend plans for the development and implementation of initiatives that assess the quality of new data sources Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls Consult with clients to assess the current state of data quality within area of assigned responsibility Required Qualifications: 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in large enterprise data initiatives Manage data entry, cleansing and updating processes across core system. Identify and resolve data inconsistency or quality issues. Banking business or technology experience Experience using standard BI tools (Tableau, Power BI, MicroStrategy, etc) Must have knowledge on T-SQL, database, data warehousing, joins, data analysis, Indexing. Should be aware of ETL concepts, data integration, transformation, data load techniques. BI concepts/solutions, analytical dashboards, different type of reporting. Cloud concepts, cloud infrastructure, cloud centric solutions (data pipelines, Big Query, etc.) Agile principles, Agile ceremonies, Software Development Lifecycle, JIRA, Scrum/Kanban. Skills: SQL - Teradata, Snowflake, Python, Regression & Clustering, Alteryx & LLM Job Expectations: Assist in implementing the data process. Monitor data flows and perform regular audits to maintain data integrity. Ensure consistent data definition and usage across systems. Collaborate with data engineers and architects to optimize data flow and storage. Work with IT and business teams to implement data cleansing and validation rules Identify, investigate and resolve data quality issues through root cause analysis. Define and maintain data dictionaries, metadata and business glossaries.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

About the Role: Grade Level (for internal use): 07 The Team The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact In this role, you will play a vital part in supporting the data teams objectives by focusing on the collection, analysis, and maintenance of datasets. Your contributions will directly impact the accuracy, completeness, and timeliness of the data we provide. You will collaborate with team members to execute data quality initiatives and assist in the execution of ad-hoc projects aimed at enhancing our data offerings. This role offers an opportunity to develop your analytical skills while working with motivated individuals, contributing to the teams goals by generating actionable insights that inform decision-making and support operational excellence. Your work will help ensure that our datasets meet the highest standards, driving value for our clients and stakeholders. Responsibilities Gather and verify extensive data on market participants, utilizing publicly available sources including but not limited to websites, news articles, and various public registries & filings to provide accurate insights and ensure thorough data coverage. Conduct data cleansing to ensure accuracy and consistency in datasets by regularly reviewing and refining them. Perform routine reporting and basic trend analysis to generate reports that highlight trends for actionable insights. Automate data collection and reporting tasks using SQL and Lean methodologies to streamline processes and enhance efficiency. Utilize GenAI tools for exploratory data analysis to extract deeper insights from datasets for informed decision-making. Maintain thorough documentation of data collection processes to ensure compliance and facilitate future reference. Deliver individual and team targets by achieving predefined goals with a focus on quality and accuracy. Provide input for new data collection methods and product enhancements to improve strategies based on market needs. Troubleshoot data-related issues and support team members by addressing discrepancies and fostering collaboration. Support workflow and process improvements by participating in initiatives aimed at refining team performance. Preferred Qualification/What We are Looking For Masters degree in finance, economics, data science, or related fields. Strong analytical mindset with attention to detail and quantitative skills. Basic knowledge of SQL and Excel; familiarity with BI tools is a plus. Understanding of compliance in data collection and reporting. Exposure to Lean principles or automation tools is desirable. Willingness to learn and adapt to modern technologies, including GenAI . Excellent communication, time-management, and multi-tasking skills. Proficient in secondary research and online thematic research. Certification and experience in MS Office (Excel, Word, PowerPoint). Initiative and resourcefulness in problem-solving. Adaptable to flexible shifts and team environments. Basic project management skills for ad-hoc projects. Interest in market trends and ability to analyze market dynamics. Strong collaboration and interpersonal skills to build team relationships. Proactive in enhancing technical skills relevant to data analysis. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning) Location - Hyderabad,Gurugram,Bengaluru,Mumbai,Maharastra

SAP Master Data Management Lead For a Fashion Brand Functional MDM lead with exp in master data governance across domains like SKU, vendor, finance, and store. Data Strategy, Data quality & cleansing. Oversee Data testing & implementations. managing complex data workflows across multiple platforms.15+ years of experience in SAP MDM. Team Handling Stakeholder Management. Strong Data Management experience. Preferably from a Retail/Ecommerce or a product based company experience. Work from Office.

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

Were looking for a Big Data Engineer who can find creative solutions to tough problems. As a Big Data Engineer, youll create and manage our data infrastructure and tools, including collecting, storing, processing and analyzing our data and data systems. You know how to work quickly and accurately, using the best solutions to analyze mass data sets, and you know how to get results. Youll also make this data easily accessible across the company and usable in multiple departments. Skillset Required Bachelors Degree or more in Computer Science or a related field. A solid track record of data management showing your flawless execution and attention to detail. Strong knowledge of and experience with statistics. Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives. Experience in C, Perl, Javascript or other programming languages is a plus. Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Experience in MapReduce is a plus. Deep knowledge of data mining, machine learning, natural language processing, or information retrieval. Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources. Experience with machine learning toolkits including, H2O, SparkML or Mahout A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done. Experience in production support and troubleshooting. You find satisfaction in a job well done and thrive on solving head-scratching problems.

Job Title: Data Analyst Location: Remote Shift Hours: 4:30 PM - 1:30 AM IST (9-hour shift) About Us: At Vitamapps, we're revolutionizing the way financial services are delivered in the Corporate world. As a Fintech company, we harness the power of data to drive innovation and provide cutting-edge solutions to our clients. We're on a mission to empower individuals and businesses with the tools they need to thrive in the digital economy. Position Overview: We are seeking a talented Data Analyst to join our dynamic team. As a Remote Data Analyst, you will play a crucial role in extracting insights from complex datasets and transforming them into actionable recommendations. This is a unique opportunity to work remotely and make a significant impact in the world of Fintech. Key Responsibilities: Daily exercise of data cleansing excel reports. Utilize your Excel expertise to manipulate and analyze large datasets with precision and efficiency. Conduct thorough data analysis to identify trends, patterns, and anomalies. Generate comprehensive reports and visualizations to communicate findings to stakeholders. Requirements: Proficiency in Excel is a must-have skill. Experience with advanced Excel functions and formulas is highly desirable. Strong command of the English language, with excellent verbal and written communication skills. Proven a minimum 2 years experience in data analysis. Ability to work independently and manage time effectively in a remote work setting. Availability to work a full 9-hour shift from 4:30 PM - 1:30 AM IST. Benefits: Generous compensation package. Flexible remote work environment that allows you to achieve work-life balance. Opportunities for professional development and career advancement. Make a difference in the Fintech industry and contribute to shaping the future of finance. How to Apply: If you're passionate about data analysis, Excel, and making an impact in Fintech, we want to hear from you! Please submit your resume and a cover letter highlighting your relevant experience and why you're the perfect fit for this role. Don't forget to include your availability for the 4:30 PM - 1:30 AM IST shift. Apply now and join us on our journey to transform the world of finance!

You will be joining our data engineering team as an experienced Python + Databricks Developer. Your role will involve designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You will write efficient Python code for data transformation, cleansing, and analytics. Collaboration with data scientists, analysts, and engineers to understand data needs and deliver high-performance solutions is a key part of this role. Additionally, you will optimize and tune data pipelines for performance and cost efficiency and implement data validation, quality checks, and monitoring. Working with cloud platforms, preferably Azure or AWS, to manage data workflows will also be part of your responsibilities. Ensuring best practices in code quality, version control, and documentation is essential for this role. To be successful in this position, you should have at least 5 years of professional experience in Python development and 3 years of hands-on experience with Databricks, including notebooks, clusters, Delta Lake, and job orchestration. Strong experience with Spark, particularly PySpark, is required. Proficiency in working with large-scale data processing and ETL/ELT pipelines is necessary, along with a solid understanding of data warehousing concepts and SQL. Experience with Azure Data Factory, AWS Glue, or other data orchestration tools would be advantageous. Familiarity with version control tools like Git is also desired. Excellent problem-solving and communication skills are important for this role.,

As an IT Solutions Consultant at DHL IT Services, you will be part of a global team of over 5600 IT professionals dedicated to connecting people and driving the global economy through innovative and sustainable digital solutions. Operating beyond borders, we continuously push the boundaries of logistics, allowing you to make a significant impact by shaping the technology backbone of the world's largest logistics company. Our offices in Cyberjaya, Prague, and Chennai have been recognized as #GreatPlaceToWork, underscoring our commitment to providing exceptional employee experiences. In this role, you will play a crucial part in ensuring the timely delivery of DHL packages worldwide while maintaining the security of customer data. Custom Clearance is a key aspect of meeting transit time expectations, requiring you to analyze custom requirements and message specifications with relevant authorities to provide solutions that align with regulatory standards for our Business Partners in DHL Express. You will be responsible for offering third-level day-to-day operational support, investigating and resolving incidents that have not been resolved at lower support tiers. Collaboration with other IT support teams and specialists will be essential in troubleshooting complex issues, particularly concerning firmware bugs, vulnerabilities, and other technology-related challenges that may arise. As a superhero for any telecommunication or security system issues within the DHL Group environment, you will also oversee the management, proposal, and implementation of necessary changes to security devices in IT Services Data Centers, ensuring global availability of essential DHL Group services. Your expertise in security technologies such as Firewalls, Load Balancers, VPNs, Proxies, Azure, and Google Cloud will be invaluable in supporting these systems effectively. To excel in this role, you should possess strong analytical and consultancy skills, along with a solid understanding of Custom Clearance processes. Proficiency in custom messaging specifications and the ability to work independently while managing tasks efficiently under time and workload pressures are crucial. Given the multinational nature of our environment, effective communication in spoken and written English is essential for successful cross-regional collaboration with teams worldwide. In return, we offer a range of benefits to support your professional growth and well-being, including hybrid work arrangements for a balance between in-office collaboration and remote flexibility, generous annual leave of 42 days excluding public/national holidays, comprehensive medical insurance coverage for self, spouse, and two children, with the option to opt for Voluntary Parental Insurance at a nominal premium. Additionally, our in-house training programs provide opportunities for both professional and technical certifications. If you are ready to embark on this exciting journey and meet the requirements outlined above, we look forward to welcoming you to our dynamic team at DHL IT Services.,

OnePay is looking for Senior Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

WALKAROO INTERNATIONAL PVT LTD is looking for PMT - Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Project Role : Business Analyst Project Role Description : Analyze an organization and design its processes and systems, assessing the business model and its integration with technology. Assess current state, identify customer requirements, and define the future state and/or business solution. Research, gather and synthesize information. Must have skills : Property and Casualty Insurance Good to have skills : Business Requirements AnalysisMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Analyst, you will analyze an organization and design its processes and systems, assessing the business model and its integration with technology. You will assess the current state, identify customer requirements, and define the future state and/or business solution. Additionally, you will research, gather, and synthesize information to contribute to the success of the organization. Roles & Responsibilities:- 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.- Conduct thorough analysis of business processes and systems.- Identify areas for improvement and propose solutions.- Collaborate with stakeholders to gather and document business requirements.- Create and maintain project documentation.- Assist in the development and execution of test plans.- Conduct user acceptance testing and provide feedback.- Support the implementation of new processes and systems.- Provide training and support to end-users.- Stay up-to-date with industry trends and best practices.- Assist in the development and implementation of change management strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Property and Casualty Insurance, Business Requirements Analysis.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.- Strong understanding of business process modeling and analysis.- Experience in conducting stakeholder interviews and workshops.- Ability to translate business requirements into functional specifications.- Familiarity with data analysis and visualization tools.- Ability to work effectively in a cross-functional team environment. Additional Information:- The candidate should have a minimum of 5 years of experience in Property and Casualty Insurance and Business Requirements Analysis.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role : The Data Engineers role is to design and build data-centric solutions that provide actionable business insights and deepen analytic capabilities in the JSW One Platform systems. The Data Engineer will be responsible for taking requirements and analysis of business processes and developing applications himself/herself or with help of vendors. This will include ETL/ELT coding, database & architecture design in cloud environment and implementation, and working closely with Data Scientists and Data Visualization developers on solution design. Responsibilities : Key skills : Architect, Plan and Develop our data strategy and work with our team to turn it into working software. Co-create the detailed application architecture strategy with the teams, aligning your strategy with the teams deliverables Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance. Work with business stakeholders, product managers and architects to understand the business data and related processes Own the communication and documentation of the strategy, syndicating with CTO, business and the development teams Get hands-on in the code building prototypes and upholding best design and engineering practice, demonstrating the patterns you would like realized Extensive knowledge in data integration architecture/ETL/Data warehouse, esp large volumes with complex integrations Help the teams slice their deliveries to allow for agile and incremental delivery of business value Consult development teams towards application development in Cloud Native way Evaluate tools / services and new technologies and suggest the right service and technology to be used. Speed as a Habit can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes. Using Agile and Dev/Ops methods, build platform architecture using a variety of sources (such as cloud IaaS/ SaaS). Integrate data from a variety of business subject areas: Leads management, Customer Portal, Seller App, SAP, Sales Force etc Implement rules & automate data cleansing, mapping, transformation, logging, and exception handling. Design, build, and deploy databases and data stores Participate in cross-functional teams to promote technology strategies, analyze and test products, perform proof-of-concept, and pilot new technologies and/or methods. Establish and document standards, guidelines, and best practices for teams utilizing the solutions. Review vendor solution designs to ensure technology appropriateness, standards compliance, and platform capacity alignment. Required Skills At least 5+ years of overall experience with over 2+ years in architecting and working on big data applications and technologies Strong Object-Oriented Programming concepts. Should be proficient in Server Side (Java/Linux) technologies. Hands-on deep knowledge of Java and Spring boot Expertise in GCP (google cloud platform) and ability to operate in DevOps model. Expertise in architecting or developing features for enterprise scale systems will be an added advantage. Good experience in data and ML use cases, incl building data pipelines , document scanning and ingestion , camera feed anomaly detection, etc Experience with all relevant tools, platforms and services including Big Query, Python, Langchain, Gemini, Hugging face, etc Understands concepts of data governance, cataloging , etc