526 Data Manipulation Jobs

As the HR Data and Application Specialist, you will be the front line administrator and main contact for various HR-related applications such as the HRIS, ATS, HR Support Portal, and other HR systems. Your primary responsibilities will include maintaining, auditing, and processing sensitive HR data, ensuring the smooth functioning of HR applications, leveraging technology to streamline manual processes, generating ad-hoc/scheduled reports, and supporting process improvement initiatives and special projects. You will play a crucial role in analyzing HR data to derive meaningful metrics and statistics that can guide decisions related to recruitment, retention strategies, and legal compliance. Additionally, you will contribute to enhancing the usage of applications, collaborating with vendors and internal stakeholders, providing technical expertise for HR projects, and offering configuration recommendations tailored to business requirements. Your key responsibilities will encompass maintaining and supporting HR applications by customizing, upgrading, and ensuring optimal performance, offering technical support to users, ensuring data security compliance, conducting security audits, and documenting system processes. Moreover, you will assist in creating training materials, facilitating end-user guidance, identifying opportunities for process enhancements, and participating in system updates and enhancement projects. On the data front, you will be involved in fulfilling data requests, compiling HR metrics from diverse sources, creating reports for business support and compliance purposes, and manipulating data in Excel for various stakeholders. Education-wise, a Bachelor's degree in HR, Business Administration, or a related field is required, with SHRM-CP or PHR certification being desirable. You should ideally possess a minimum of 3 years of HR application experience, familiarity with Microsoft Office Suite and data management, and exposure to tools like BambooHR, ADP Workforce Now, or First Advantage. To excel in this role, you must demonstrate a passion for data accuracy and process enhancement, exhibit strong critical thinking and analytical skills, and showcase an innovative approach to problem-solving. Effective communication, time management, organizational, and interpersonal skills are essential, along with a keen eye for detail and a commitment to maintaining confidentiality. Adaptability to evolving environments, an entrepreneurial mindset, and a drive for innovation will be key attributes that you bring to this position.,

You are a strategic thinker passionate about promoting solutions in financial analysis. You have found the right team. As a Data Quality Analyst, you will collaborate with teams across the Corporate and Investment Bank and the broader bank to address and resolve data quality issues, develop monitoring metrics, and provide insights into identified challenges. Support the Corporate & Investment Banking Ops Risk Data Quality lead executing the Operational Risk data quality reviews across Corporate & Investment Banking. Build and maintain documentation and guidance to support the implementation of the Operational Risk Data Quality framework, improving overall data quality by removing subjectivity and driving a standardized approach. Support the Corporate & Investment Banking CORE team in managing the Data Quality working group, brainstorm ideas to improve CORE & RED data quality, and seek feedback from stakeholders across CIB, including Corporate, as appropriate. Perform qualitative reviews in line with firmwide CORE & RED standards and procedures on a periodic basis and share findings within the team. Track and review Data Quality observations with the CIB groups. Ensure timely escalation of material gaps or challenges relating to Operational Risk Data Quality, raising issues to the Corporate & Investment Banking CORE / Governance lead as appropriate. Perform root cause analysis and make recommendations for addressing identified deficiencies. Identify ways to continuously improve existing processes by leveraging Intelligent Automation solutions. Required qualifications, capabilities, and skills: - Bachelor's degree in Accounting, Finance, or a subject of a technical nature. - Proficiency with data mining/gathering and manipulation of data sets. - Inquisitive, enthusiastic, and diligent, and capable of challenging peers. - Strong verbal and written communication skills, with the ability to articulate complex issues clearly. - Ability to create ad hoc reporting for senior management. - Highly motivated and able to thrive and think clearly under pressure and tight deadlines. Preferred qualifications, capabilities, and skills: - Team player with the ability to be respected as a trusted partner for the Business, Finance, and FP&A Teams. - Highly motivated self-starter with excellent time management/prioritization skills. - Strong analytical and problem-solving skills with the ability to analyze large data sets and present conclusions concisely.,

The ideal candidate will conduct quantitative and qualitative analysis across various projects to optimize company growth and business. You will manipulate datasets, create financial models, and summarize findings in a succinct manner for client's usage. Responsibilities include compiling data into actionable reports, preparing pitch and presentation materials, working collaboratively with team members, and thinking strategically about improving company operations. Qualifications for this role include a Bachelor's degree in Business or Economics or related discipline, 1 - 3 years of experience working with data in a related field, excellent leadership and communication skills, and fluency in Microsoft Office suite (Outlook, Excel, Word, PowerPoint, etc.). Join us to grow your business and many more opportunities await you in this role.,

As a skilled Finance Expert, you will be responsible for providing insightful reports on efficiency, analytics, and strategy, with a focus on location strategy, span of control, reporting, and analytics. Your role will involve creating financial business cases to support various business initiatives and monitoring key metrics to drive data quality initiatives and determine future needs in the product area. You will be expected to develop and track performance metrics, prepare presentations, and conduct financial analysis on a wide range of topics for senior management. Your expertise in performing variance analysis will be crucial in understanding key drivers of results and presenting commentary to senior managers. Additionally, you will play a key role in designing new reports and dashboards to effectively communicate financial results to senior management. Your responsibilities will also include enhancing controls, streamlining processes, and implementing automation where possible to improve efficiency. To excel in this role, you should hold a Bachelor's degree in Accounting, Finance, or a related technical field, along with advanced proficiency in Excel and PowerPoint. Your strong skills in data mining and manipulation of data sets will be essential for success in this position. We are looking for a candidate who is inquisitive, enthusiastic, and diligent, with the ability to challenge peers constructively. Excellent verbal and written communication skills are a must, as you will be required to articulate complex issues clearly. Your proven track record in executing special projects with limited lead time or information, along with your ability to create ad hoc reporting for senior management, will be highly valued. If you are a highly motivated individual who thrives and thinks clearly under pressure and tight deadlines, and if you possess the skills and experience outlined above, we invite you to apply for this challenging and rewarding role.,

As a Marketing Cloud Automation Lead with 12-15 years of experience in Salesforce Marketing Cloud (SFMC), you will be responsible for leading the design, development, and execution of integrated marketing automation campaigns across multiple channels. Your role will involve managing complex Marketing Cloud projects to ensure timely delivery and successful implementation. You will develop and maintain sophisticated email marketing programs, including segmentation, personalization, A/B testing, and automation. Additionally, you will manage and optimize mobile marketing campaigns, including SMS, MMS, and push notifications. Your expertise will be crucial in integrating marketing automation with other Salesforce products such as Sales Cloud and Service Cloud. You will be expected to analyze campaign performance data to identify trends, measure ROI, and provide data-driven recommendations for optimization. Collaboration with cross-functional teams, including marketing, sales, and product teams, will be essential to ensure alignment and achieve business objectives. As a Salesforce Marketing Cloud Platform Expert, you should have experience in several end-to-end SFMC implementations and possess thorough knowledge of all core Marketing Cloud products, including Email Studio, Journey Builder, Mobile Studio, Social Studio, Advertising Studio, Content Builder, Interaction Studio, and Data Studio. Your proficiency in advanced features like predictive modeling, AI-powered personalization, and complex journey orchestration will be valuable. Your strong understanding of integrating Marketing Cloud with other Salesforce products and external systems, platform administration, scripting & coding abilities, API integration skills, data manipulation expertise, digital marketing strategy understanding, business acumen, and customer-centric approach will be critical to your success in this role. Your ability to make data-driven decisions, analyze data, and report campaign performance will be essential. Moreover, your soft skills, including leadership, excellent communication, stakeholder management, and project management abilities, will play a key role in leading and mentoring junior team members on Salesforce Marketing Cloud best practices. Your hands-on experience with Email Studio, Journey Builder, and Automation Studio will be required to create, test, deploy email campaigns, design and manage customer journeys, and build and manage automated workflows effectively. In summary, as a Marketing Cloud Automation Lead, your role will involve leading the development and execution of integrated marketing automation campaigns, managing complex Marketing Cloud projects, integrating marketing automation with other Salesforce products, analyzing campaign performance data, collaborating with cross-functional teams, and staying up-to-date on the latest Salesforce Marketing Cloud features and best practices. Your expertise in Salesforce Marketing Cloud Platform, including end-to-end implementations, core products, advanced features, integrations, platform administration, scripting & coding, API integration, data manipulation, digital marketing strategy, business acumen, and customer-centricity, will be crucial to achieving successful marketing outcomes.,

The Junior AI/ML Engineer role at Fulcrum Digital is an opportunity for an aspiring AI innovator and technical enthusiast to kickstart their AI journey by contributing to the development of cutting-edge AI solutions. This hybrid work model position allows employees to work from the office twice a week, with office locations in Pune, Mumbai, or Coimbatore to choose from based on preference and convenience. As a Junior AI/ML Engineer, you will collaborate with experienced professionals to build and implement innovative AI models and applications that solve real-world problems. This role offers more than just an entry-level experience by providing hands-on experience in developing and deploying AI/ML models, working on impactful projects, and learning and growing in a dynamic and innovative environment. Key responsibilities include assisting in the development and implementation of AI/ML models and algorithms, contributing to data preprocessing and feature engineering processes, supporting model evaluation and optimization, collaborating on research initiatives, and assisting in deployment and monitoring of AI/ML solutions. The ideal candidate should have a foundational understanding of machine learning concepts, programming skills in Python, familiarity with TensorFlow or PyTorch, and basic knowledge of data manipulation using libraries like Pandas and NumPy. Strong analytical, problem-solving, and communication skills are essential, along with a proactive and eager-to-learn attitude. The successful candidate will have a Bachelor's degree in Computer Science, Data Science, or a related field, a passion for artificial intelligence and machine learning, and a desire for continuous learning in the field of AI. Superpowers should include the ability to identify patterns in data, explain technical concepts clearly, consider ethical implications in AI development, and maintain an interest in staying updated with advancements in the field. Joining Fulcrum Digital as a Junior AI/ML Engineer offers the opportunity to work on exciting AI projects, be mentored by experienced professionals, contribute to innovative technological solutions, and gain valuable experience in a rapidly evolving field. If you are ready to be part of the AI revolution and shape the future of technology, apply now by sending your resume to the provided email address with the subject line "Application for Junior AI/ML Engineer".,

As a key member of the team at EE, your role holds significant importance in delivering exceptional, personalized experiences to our vast customer base of 30 million individuals. Our ongoing investment in automating operations, enhancing network capabilities, and fortifying our data management strategies is crucial for the future prosperity of our business. By harnessing the power of data-driven automation and decision-making, we aim to elevate customer interactions across various channels, ensuring the delivery of unparalleled personal experiences. In this chapter of our journey, you will take charge of developing a new data capability for our Consumer segment. Your responsibilities will encompass overseeing the data architecture, tooling, and frameworks utilized by our engineers and data scientists. From sourcing and integrating data to ensuring its quality and availability, you will play a pivotal role in shaping the data landscape of our organization. Your primary focus will be on supporting key stakeholders by providing them with quality insights that facilitate informed decision-making. Collaborating closely with other data and decisioning teams, you will contribute to creating a unified approach and sharing best practices across the organization. Your day-to-day tasks will involve driving decision-making processes through data insights, cultivating strong relationships with internal customers, and owning self-serve dashboards that offer comprehensive insights into our products and business performance. By producing actionable insights and conducting in-depth analysis, you will contribute to building a holistic view of our customers while ensuring data accuracy and timeliness. Moreover, you will act as a subject matter expert for specific business analysis, lead projects to deliver end-to-end solutions, and focus on enhancing process efficiency through technology automation. Your role will also entail engaging with senior stakeholders, coaching the business on interpreting analyses effectively, and providing technical support to junior team members to foster continuous upskilling. To excel in this role, you should possess experience in customer-facing functions such as Sales, Marketing, and Personalisation, along with proficiency in analytics, reporting, and data analysis tools like GCP and Big Query. Strong Excel skills, automation capabilities, and a growth mindset are essential attributes that will enable you to drive impactful outcomes and contribute to the growth of both yourself and the organization. In terms of qualifications and experience, a minimum of 10 years in Marketing/Customer Analytics, proficiency in SQL and Qlik Sense, and familiarity with marketing operations tools are preferred. Additionally, a collaborative approach, excellent communication skills, and a commercially savvy mindset are key traits that will help you thrive in this dynamic and transformative environment at EE. Join us at EE, a part of the BT Group, and be part of a pioneering team that is redefining the future of telecommunications with innovative solutions and a customer-centric approach. Together, we are committed to creating a diverse and inclusive workplace where everyone can contribute their unique talents and thrive in a culture of continuous growth and transformation.,

As a Business Analyst - HR Analytics within our People Analytics team, you will play a crucial role in managing data requirements related to the Corporate Sustainability Reporting Directive. Your responsibilities will include collecting, cleaning, and analyzing HR data from various sources to identify trends and patterns. Collaborating with different teams for effective stakeholder management and supporting data reporting requirements will be key aspects of your role. Additionally, you will be tasked with presenting findings and insights to stakeholders using data visualization tools and contributing to the enhancement of HR data governance. To excel in this position, you should possess a Bachelor's degree in HR, Business, Data Science, Statistics, or a related field. A minimum of 4-5 years of experience in HR analytics, data analysis, and reporting within a corporate HR environment is required. Proficiency in data manipulation and analysis tools like Excel, SQL, and HR information systems (HRIS) is essential. Strong communication and presentation skills are necessary for effectively conveying complex data insights to non-technical audiences. Familiarity with HR processes, workforce planning, and talent management concepts will be beneficial. Moreover, experience with data visualization tools such as Tableau, Power BI, or similar platforms is a plus. Your ability to manage stakeholders effectively and communicate with clarity will be crucial for success in this role. We are seeking a motivated individual who is passionate about sustainability and data analytics. If you are ready to take on this exciting challenge and contribute to our People Analytics team, we would love to hear from you. This position is full-time and requires a proactive approach to handling data analytics tasks with a focus on sustainability and stakeholder management. Req: 009173,

Position Overview: Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution. Job Responsibilities: Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system. Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling. Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Basic Qualifications: Masters degree in a quantitative discipline or equivalent. 3+ years minimum professional experience. Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation. Excellent verbal and written communication skills, with the ability to present information and analysis results effectively. Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company. Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models. Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation. Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas).

Minimum of 5 years of hands-on experience in IBM i (AS/400) COBOL400 development. Proficiency in CL programming for system automation and job scheduling is a key requirement for the role. Strong skills in writing and optimizing embedded SQL code within COBOL programs for efficient data manipulation are essential Effective problem-solving abilities, including the capability to analyze, troubleshoot, and efficiently resolve issues, are crucial for success in this position. Excellent teamwork and communication skills are required to collaborate effectively with cross-functional teams, and strong documentation skills are essential for maintaining clear and concise records of code and system changes. Skills and Knowledge: Cobol 400, IBMi Apply We Are Looking For Ambitious, Experienced Developers! Glassdoor Have a referral? X

Urgent Hiring - Power BI Analyst || BPO Greetings from Ienergizer!! We are looking for experienced Power BI Analyst to join our Business Analytics team. Interested candidates can Send their CV to vanshika.kakkar@ienergizer.com Or can WhatsApp on 9289640609 Requirements: 3+ Years of experience with Power BI development and reporting Strong hands-on knowledge of Power BI, Power Query, SQL queries and data modelling Proficiency in SQL for data extraction and transformation Exposure to WFM concepts such as forecasting, scheduling, or capacity planning Should have Experience working in a BPO or Call Centre environment Strong analytical thinking and problem-solving skills Key Responsibilities: Design, develop, and maintain Power BI dashboards, reports, and visualizations Perform SQL-based data extraction and ensure seamless integration into Power BI Utilize Python scripting for data cleaning, transformation, and automation Monitor and report on Call Centre KPIs including Voice, Chat, Email & OB Collaborate with cross-functional teams to understand data requirements ~ 6 days working ~Day Shifts ~Work From Office CTC - Upto 8 LPA Location: iEnergizer - Noida Sector 60 Interested candidates can Send their CV to vanshika.kakkar@ienergizer.com Or can WhatsApp on 9289640609 Referrals are welcomed and encouraged Regards, Vanshika Kakkar TL - HR

We are seeking a Senior Customer Data Analyst to join our Customer Data Audience Operations Team within the Marketing & Data organization at Thomson Reuters. Based in Hyderabad, India, this role will support our Customer Data Platform (CDP) operations, helping marketers leverage customer data effectively through audience segmentation and activation. About the Role In this role as a Senior Customer Data Analyst, you will Develop a comprehensive understanding of the CDP data structure, data models, tables, and available data types. Process and fulfill audience segmentation requests from marketing teams through our Workfront ticketing system. Create audience segments in Treasure Data CDP and push them to appropriate activation channels. Collaborate with marketing teams to understand their segmentation needs and provide data-driven solutions. Maintain documentation of segment creation processes and audience definitions. Monitor segment performance and provide recommendations for optimization. Stay current with AI capabilities within Treasure Data's AI Foundry to enhance segmentation strategies. Assist in troubleshooting data issues and ensuring data quality within segments. About You Youre a fit for the role of Senior Customer Data Analyst, if your background includes Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, or related field. 6-8 years of experience in data analysis, data management, or related roles. Proficiency in SQL query writing and data manipulation. Basic understanding of marketing technology platforms (CDP, CRM, Marketing Automation). Ability to translate business requirements into technical specifications. Strong attention to detail and problem-solving skills. Excellent communication skills in English, both written and verbal. Experience with Treasure Data/Snowflake/Eloqua/Salesforce. Knowledge of AI/ML concepts and applications in marketing. Understanding of data privacy regulations and compliance requirements. Experience with data visualization tools. Basic programming skills (Python, R, etc.) Data analysis and interpretation. Familiarity with cloud-based data platforms. Understanding of relational databases. Microsoft Office Suite (especially Excel). Curiosity and eagerness to learn, Detail-oriented approach, Ability to work in a fast-paced environment, Team collaboration, Time management and prioritization abilities. Shift Timings2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory) #LI-GS2 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

The Enterprise Data Architect will enhancethe company's strategic use of data by designing, developing, and implementingdata models for enterprise applications and systems at conceptual, logical,business area, and application layers. This role advocates data modelingmethodologies and best practices. We seek a skilled Data Architect with deepknowledge of data architecture principles, extensive data modeling experience,and the ability to create scalable data solutions. Responsibilities includedeveloping and maintaining enterprise data architecture, ensuring dataintegrity, interoperability, security, and availability, with a focus onongoing digital transformation projects. Key Responsibilities 1. Strategy Planning o Develop and deliver long-term strategic goalsfor data architecture vision and standards in conjunction with data users,department managers, clients, and other key stakeholders. o Create short-term tactical solutions toachieve long-term objectives and an overall data management roadmap. o Establish processes for governing theidentification, collection, and use of corporate metadata; take steps to assuremetadata accuracy and validity. o Establish methods and procedures for trackingdata quality, completeness, redundancy, and improvement. o Conduct data capacity planning, life cycle,duration, usage requirements, feasibility studies, and other tasks. o Create strategies and plans for data security,backup, disaster recovery, business continuity, and archiving. o Ensure that data strategies and architecturesare aligned with regulatory compliance. o Develop a comprehensive data strategy incollaboration with different stakeholders that aligns with the transformationalprojects goals. o Ensure effective data management throughoutthe project lifecycle. 2. Acquisition Deployment o Ensure the success of enterprise-levelapplication rollouts (e.g. ERP, CRM, HCM, FPA, etc.) Liaise with vendorsand service providers to select the products or services that best meet company goals 3. Operational Management Assess and determine governance, stewardship, and frameworks for managing data across the organization. Develop and promote data management methodologies and standards. Document information products from business processes and create data entities Create entity relationship diagrams to show the digital thread across the value streams and enterprise Create data normalization across all systems and data base to ensure there is common definition of data entities across the enterprise Document enterprise reporting needs develop the data strategy to enable single source of truth for all reporting data Address the regulatory compliance requirements of each country and ensure our data is secure and compliant Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers and business unit leaders for all projects involving enterprise data. Address data-related problems regarding systems integration, compatibility, and multiple-platform integration. Act as a leader and advocate of data management, including coaching, training, and career development to staff. Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture. Document the data architecture and environment to maintain a current and accurate view of the larger data picture. Identify and develop opportunities for data reuse, migration, or retirement. 4. Data Architecture Design: Develop and maintain the enterprise data architecture, including data models, databases, data warehouses, and data lakes. Design and implement scalable, high-performance data solutions that meet business requirements. 5. Data Governance: Establish and enforce data governance policies and procedures as agreed with stakeholders. Maintain data integrity, quality, and security within Finance, HR and other such enterprise systems. 6. Data Migration: Oversee the data migration process from legacy systems to the new systems being put in place. Define & Manage data mappings, cleansing, transformation, and validation to ensure accuracy and completeness. 7. Master Data Management: Devise processes to manage master data (e.g., customer, vendor, product information) to ensure consistency and accuracy across enterprise systems and business processes. Provide data management (create, update and delimit) methods to ensure master data is governed 8. Stakeholder Collaboration: Collaborate with various stakeholders, including business users, other system vendors, and stakeholders to understand data requirements. Ensure the enterprise system meets the organization's data needs. 9. Training and Support: Provide training and support to end-users on data entry, retrieval, and reporting within the candidate enterprise systems. Promote user adoption and proper use of data. 10. Data Quality Assurance: Implement data quality assurance measures to identify and correct data issues. Ensure the Oracle Fusion and other enterprise systems contain reliable and up-to-date information. 11. Reporting and Analytics: Facilitate the development of reporting and analytics capabilities within the Oracle Fusion and other systems Enable data-driven decision-making through robust data analysis. 1.Continuous Improvement: Continuously monitor and improve data processes and the Oracle Fusion and other system's data capabilities. Leverage new technologies for enhanced data management to support evolving business needs. Technology and Tools: Oracle Fusion Cloud Data modeling tools (e.g., ER/Studio, ERwin) ETL tools (e.g., Informatica, Talend, Azure Data Factory) Data Pipelines: Understanding of data pipeline tools like Apache Airflow and AWS Glue. Database management systems: Oracle Database, MySQL, SQL Server, PostgreSQL, MongoDB, Cassandra, Couchbase, Redis, Hadoop, Apache Spark, Amazon RDS, Google BigQuery, Microsoft Azure SQL Database, Neo4j, OrientDB, Memcached) Data governance tools (e.g., Collibra, Informatica Axon, Oracle EDM, Oracle MDM) Reporting and analytics tools (e.g., Oracle Analytics Cloud, Power BI, Tableau, Oracle BIP) Hyperscalers / Cloud platforms (e.g., AWS, Azure) Big Data Technologies such as Hadoop, HDFS, MapReduce, and Spark Cloud Platforms such as Amazon Web Services, including RDS, Redshift, and S3, Microsoft Azure services like Azure SQL Database and Cosmos DB and experience in Google Cloud Platform services such as BigQuery and Cloud Storage. Programming Languages: (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.) SQL: Strong SQL skills for querying and managing databases Python: Proficiency in Python for data manipulation and analysis. Java: Knowledge of Java for building data-driven applications. Data Security and Protocols: Understanding of data security protocols and compliance standards. Education: Bachelor’s degree in computer science, Information Technology, or a related field. Master’s degree preferred. Experience: 10+ years overall and at least 7 years of experience in data architecture, data modeling, and database design. Proven experience with data warehousing, data lakes, and big data technologies. Expertise in SQL and experience with NoSQL databases. Experience with cloud platforms (e.g., AWS, Azure) and related data services. Experience with Oracle Fusion or similar ERP systems is highly desirable. Skills: Strong understanding of data governance and data security best practices. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work effectively in a collaborative team environment. Leadership experience with a track record of mentoring and developing team members. Excellent in documentation and presentations. Good knowledge of applicable data privacy practices and laws. Certifications: Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data – Specialty) are a plus. Behavioral A self-starter, an excellent planner and executor and above all, a good team player Excellent communication skills and inter-personal skills are a must Must possess organizational skills, including multi-task capability, priority setting and meeting deadlines Ability to build collaborative relationships and effectively leverage networks to mobilize resources Initiative to learn business domain is highly desirable Likes dynamic and constantly evolving environment and requirements

Assist in building out the backlog of Power BI dashboards, ensuring they meet business requirements and provide actionable insights. Collect and maintain a firmwide inventory of existing reports, identifying those that need to be converted to Power BI. Collaborate with the team to contract and integrate Snowflake, ensuring seamless data flow and accessibility for reporting and analytics. Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field 3+ years strong experience in developing and managing Power BI dashboards and reports, preferably within the financial services industry. Experience required in Data Warehousing, SQL, and hands-on expertise in ETL/ELT processes. Familiarity with Snowflake data warehousing solutions and integration. Proficiency in data integration from various sources including APIs and databases. Proficient in SQL for querying and manipulating data. Strong understanding of data warehousing concepts and practices. Experience with deploying and managing dashboards on a Power BI server to service a large number of users. Familiarity with other BI tools and platforms. Experience with financial datasets and understanding Private equity metrics. Knowledge of cloud platforms, particularly Azure, Snowflake, and Databricks. Excellent problem-solving skills and attention to detail. Strong communication skills, both written and oral, with a business and technical aptitude Must possess good verbal and written communication and interpersonal skills Key Responsibilities Create and maintain interactive and visually appealing Power BI dashboards to visualize data insights. Assist in building out the backlog of Power BI dashboards, ensuring they meet business requirements and provide actionable insights. Integrate data from various sources including APIs, databases, and cloud storage solutions such as Azure, Snowflake, and Databricks. Collect and maintain a firmwide inventory of existing reports, identifying those that need to be converted to Power BI. Collaborate with the team to contract and integrate Snowflake, ensuring seamless data flow and accessibility for reporting and analytics. Continuously refine and improve the user interface of dashboards based on ongoing input and feedback. Monitor and optimize the performance of dashboards to handle large volumes of data efficiently. Work closely with stakeholders to understand their reporting needs and translate them into effective Power BI solutions. Ensure the accuracy and reliability of data within Power BI dashboards and reports. Deploy dashboards onto a Power BI server to be serviced to a large number of users, ensuring high availability and performance. Ensure that dashboards provide self-service capabilities and are interactive for end-users. Create detailed documentation of BI processes and provide training to internal teams and clients on Power BI usage Stay updated with the latest Power BI and Snowflake features and best practices to continuously improve reporting capabilities. Behavioral Competencies Effectively communicate with business and technology partners, peers and stakeholders Ability to deliver results under demanding timelines to real-world business problems Ability to work independently and multi-task effectively Identify and communicate areas for improvement Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)

At Amazon Advertising, we sit at the intersection of advertising and eCommerce. With millions of customers visiting us every day to find, discover, and buy products, we believe that advertising, when done well, can enhance the value of the customer experience, and improve brand equity and generate a positive return for our advertising partners. We strive to make advertising relevant so that customers welcome it and advertisers can easily implement it. The Sales Go-To-Market (SGTM) role will sit squarely between the product teams who make our ad solutions, and the field teams who sell it. Given this role s unique position within the Ads org, s/he will help drive GTM strategy and organizational change when doing so results in clear benefits for our customers. As the IN Ads GTM Specialist, you will own and manage the GTM for Sales Strategy, Demand Generation, supporting new product launches, educating sellers/advertisers on product capabilities and features, and keeping a pulse on advertisers/industry to provide Closed Loop Feedback between product and sales. Own developing the GTM strategy for new ecommerce product and offerings. Along with working on driving key product related developments and goals. Create and drive strategic vision for your program through key documents and contribute to three-year plan press releases and FAQs. Act as the primary stakeholder in cross-functional initiatives to push change forward across Product, Sales and Services. Identify and provide the right metrics to measure success, providing meaningful feedback to the stakeholders through ownership of monthly organizational business reviews. Guide teams to develop and execute daily, weekly, and monthly action plans that increase adoption of strategic initiatives. Establish a partnership with senior business leaders to develop and lead strategy across multiple global sites. Effectively communicate the business strategy to all levels of the organization. Customize and deploy GTM strategies and sales plays for this vision, partner with Product Marketing on global Sales and Marketing narratives and help train teams where needed on deployment strategy. Experience working cross-functionally and with a wide range of employees with different skill sets Experience in sales Experience in operations, account management, or analytics 5+ years of sales experience Experience using data and metrics to drive improvements. Preferred: Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) Experience building high-velocity ad products Experience working in e-commerce

Job Summary : We are seeking a highly skilled and motivated Data Analyst to join our team. The ideal candidate will have a strong aptitude for problem-solving and the ability to utilize a range of tools, including Excel, Power BI, SQL, and Python, to analyze and interpret complex data sets. As a Data Analyst, you will be responsible for gathering, analyzing, and presenting data-driven insights to support strategic decision-making and process optimization. Key Responsibilities : 1. Perform efficient and accurate manual data extraction from various document formats using advanced Microsoft Excel skills . This includes leveraging complex formulas, data validation, and efficient navigation techniques to expedite the extraction process. Analyze project data to identify trends, patterns, and insights. Develop and maintain data queries and reports using SQL (preferred). Automate data processing tasks using Python scripting where applicable(advantageous). Organize and maintain project-related data and documentation effectively. Identify and troubleshoot technical issues, escalating them as needed. Assist in optimizing internal processes and workflows. Collaborate with team members to meet project objectives. Potentially support the administration and use of eDiscovery platforms like Relativity (a plus). Requirements: 1. Proven working experience as a Data Analyst or Business Data Analyst. Technical expertise regarding data models, database design development, data mining. Advanced proficiency in Microsoft Excel, particularly for efficient manual data extraction. Keen attention to detail with a strong commitment to accuracy. Excellent organizational and time-management skills. Ability to work both independently and collaboratively in a team setting. Strong analytical and problem-solving capabilities. Clear and concise communication skills for presenting technical findings. Only Kolkata candidates are eligible for this post. Essential Skills: 1. Expertise in Microsoft Excel , including advanced formulas (e.g., VLOOKUP, INDEX/MATCH, SUMIFS), data validation, pivot tables, and keyboard shortcuts for rapid data extraction. 2. Strong analytical and logical thinking abilities. 3. Exceptional written and verbal communication skills. 4. Ability to quickly adapt to and learn new software and technologies. Beneficial Skills: 1. Experience with SQL for querying and managing databases. Familiarity with Python for scripting and data automation. Experience in the DataBreach/Incident Response domain, including search strategies and data management (a plus). Exposure to other data visualization tools. Understanding of data warehousing concepts.

Responsibilities: * Collaborate with clients on MES implementation projects from start to finish. * Provide functional support for existing MES applications. POST YOUR RESUME AT hr@akriyagroup.com

At 5X, we help companies organize their data and make it actionable Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks Thats why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl, Responsibilities Understand and analyse client's business requirements to design and implement effective data solutions, Create and optimize data models to support client reporting and analytics needs, Proactively communicate with clients to provide project updates and address any issues or concerns, Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members, Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes, Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions, Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development, Experience in designing, developing, and deploying machine learning models into production environments, Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks, Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis, Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions, Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus, Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision About 5X Were a global, remote-first company building the platform we wish we had and today, it powers the data teams building whats next At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun Whether you're designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers Our customers find it impossible to think of a world outside of 5X, We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires At 5X prioritize all 4, We wholeheartedly embrace remote work: If we cant build it from a hammock in Bali, were doing something wrong 5X fully embraces remote work We trust you will find the right balance, Transparency is fundamental to us: We put everything on the table for everyone to see This means that you have our permission to ask the tough questions and we will answer We don't like playing political games, Togetherness is at the core of our culture: We work together to maximize our potential We are there for each other and treat others as we expect to be treated This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations Check out our recent offsites here: Thailand, Sri Lanka and Bali Know About The Company Website: https://5X co/ LinkedIn: https:// linkedin /company/datawith5X/mycompany/ Glassdoor: https:// glassdoor co in/Reviews/5X-Reviews-E6110869 htm 5X in 2 minutes: https:// youtube /watchv=45Ppi00Lw70 Show

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. We are looking for Senior Level Consultants with expertise in Data Modelling, Data Integration, Data Manipulation, and analysis to join the SCT group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm while being instrumental in the growth of a new service offering. This role demands a highly technical, extremely hands-on Data Warehouse Modelling consultant who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the value of data warehouse and ETL and proven experience in delivering solutions to different lines of business and technical leadership. **Your Key Responsibilities** - A minimum of 5+ years of experience into BI/Data integration/ETL/DWH solutions in cloud and on-premises platforms such as Informatica/PC/IICS/Alteryx/Talend/Azure Data Factory (ADF)/SSIS/SSAS/SSRS and experience on any reporting tool like Power BI, Tableau, OBIEE, etc. - Performing Data Analysis and Data Manipulation as per client requirements. - Expert in Data Modelling to simplify business concepts. - Create extensive ER Diagrams to help business in decision making. - Working experience with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using data integration technologies. - Should be able to develop sophisticated workflows & macros (Batch, Iterative, etc.) in Alteryx with enterprise data. - Design and develop ETL workflows and datasets in Alteryx to be used by the BI Reporting tool. - Perform end-to-end Data validation to maintain accuracy of data sets. - Support client needs by developing SSIS Packages in Visual Studio (version 2012 or higher) or Azure Data Factory (Extensive hands-on experience implementing data migration and data processing using Azure Data Factory). - Support client needs by delivering Various Integrations with third-party applications. - Experience in pulling data from a variety of data source types using appropriate connection managers as per Client needs. - Develop, Customize, Deploy, maintain SSIS packages as per client business requirements. - Should have thorough knowledge in creating dynamic packages in Visual Studio with multiple concepts such as - reading multiple files, Error handling, Archiving, Configuration creation, Package Deployment, etc. - Experience working with clients throughout various parts of implementation lifecycle. - Proactive with Solution-oriented mindset, ready to learn new technologies for Client requirements. - Analysing and translating business needs into long-term solution data models. - Evaluating existing Data Warehouses or Systems. - Strong knowledge of database structure systems and data mining. **Skills And Attributes For Success** - Deliver large/medium DWH programmes, demonstrate expert core consulting skills and advanced level of ODI, Informatica, SQL, PL/SQL, Alteryx, ADF, SSIS, SSAS knowledge, and industry expertise to support delivery to clients. - Demonstrate management and an ability to lead projects or teams individually. - Experience in team management, communication, and presentation. **To qualify for the role, you must have** - 5+ years ETL experience as Lead/Architect. - Expertise in the ETL Mappings, Data Warehouse concepts. - Should be able to design a Data Warehouse and present solutions as per client needs. - Thorough knowledge in Structured Query Language (SQL) and experience working on SQL Server. Experience in SQL tuning and optimization using explain plan and SQL trace files. - Should have experience in developing SSIS Batch Jobs Deployment, Scheduling Jobs, etc. - Building Alteryx workflows for data integration, modelling, optimization, and data quality. - Knowledge of Azure components like ADF, Azure Data Lake, and Azure SQL DB. - Knowledge of data modelling and ETL design. - Design and develop complex mappings, Process Flows and ETL scripts. - In-depth experience in designing the database and data modelling. **Ideally, you'll also have** - Strong knowledge of ELT/ETL concepts, design, and coding. - Expertise in data handling to resolve any data issues as per client needs. - Experience in designing and developing DB objects such as Tables, Views, Indexes, Materialized Views and Analytical functions. - Experience of creating complex SQL queries for retrieving, manipulating, checking, and migrating complex datasets in DB. - Experience in SQL tuning and optimization using explain plan and SQL trace files. - Candidate ideally should have ideally good knowledge of ETL technologies/tools such as Alteryx, SSAS, SSRS, Azure Analysis Services, Azure Power Apps. - Good verbal and written communication in English, Strong interpersonal, analytical, and problem-solving abilities. - Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents. - Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc. will be preferred. - Experience with Cloud databases and multiple ETL tools. **What We Look For** The incumbent should be able to drive ETL Infrastructure related developments. Additional knowledge of complex source system data structures preferably in Financial services (preferred) Industry and reporting related developments will be an advantage. An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries. **What Working At EY Offers** At EY, we're dedicated to helping our clients, from startups to Fortune 500 companies, and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: - Support, coaching, and feedback from some of the most engaging colleagues around - Opportunities to develop new skills and progress your career - The freedom and flexibility to handle your role in a way that's right for you. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

We are seeking a driven individual with a strong financial knowledge and an analytical mindset. As a motivated team player, you will excel in maintaining efficiency and accuracy while multitasking. To be a strong candidate for this role, your experience in financial services and proven understanding of products will be crucial. Additionally, you should be a strong written and verbal communicator to effectively interact with CSU/Field RPs. In this role, you will be responsible for working with Surveillance internal teams and business partners to define and document business requirements. Engaging with Business counterparts to ensure solutions align with business requirements and readiness levels. You will translate business requirements into actionable solutions and deliver on complex ad-hoc business analysis requests. Furthermore, you will coordinate and prioritize business needs in a matrix management environment, documenting and communicating results and recommendations to both external and internal teams. The ideal candidate should possess 4-6 years of experience in the analytics industry with a strong background in Financial Services. You should have excellent quantitative, analytical, programming, and problem-solving skills. Proficiency in MS Excel, PowerPoint, and Word is essential. A highly motivated self-starter with exceptional communication skills is desired, along with the ability to work effectively in a team environment on multiple projects. Candidates should be willing to learn tools like Python, SQL, PowerApps & PowerBI. Series 7 or SIE certification is preferred. Experience with AWS Infrastructure and knowledge of tools like SageMaker and Athena are advantageous. Ameriprise India LLP has been a trusted provider of client-based financial solutions for 125 years. As a U.S.-based financial planning company, headquartered in Minneapolis with a global presence, our focus areas include Asset Management and Advice, Retirement Planning, and Insurance Protection. Join our inclusive and collaborative culture that values your contributions and offers opportunities for growth and development. If you are talented, driven, and seeking to work for an ethical company that cares, take the next step and build your career at Ameriprise India LLP. This is a full-time position with working hours from 2:00 pm to 10:30 pm. The role is part of the AWMPO AWMP&S President's Office within the Legal Affairs job family group.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

Job Roles & Responsibilities Analyze and interpret complex datasets using Python to drive strategic decisions, Develop and maintain data models and reporting tools to support business objectives, Collaborate with cross-functional teams to identify

Who we are Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. What you will be doing The team is currently looking for a Data Analyst to be jointly responsible for the data standardisation, modelling, and forecasting of various demographic, socio-economic, and macroeconomic data meeting client needs and deadlines. This role demands a high level of analytical skill, proactive problem-solving, and commitment to continuously improving data modelling and forecasting techniques, as well as exploring and implementing new methods to improve data comparability and quality. Key drivers - Analyze and manipulate datasets, carrying out calculations and numerical analysis using R. Standardize raw statistical data to ensure cross-source comparability. Extrapolate and interpolate data using both quantitative and qualitative methods to develop modelling and forecasting techniques. Monitor, review, and enhance data quality. Document all work processes to ensure team alignment and best practices. Liaise with sales and marketing departments and handle client queries. What you ll need- Background in mathematics, econometrics, data science, statistics or similar fields. Proficiency in R. Basic knowledge of Python. Experience in data manipulation, statistical analysis and time series forecasting. Excellent communications skills and fluency in English (both oral & written). Strong organizational skills, creativity and attention to detail. Ability to work on own initiative. #LI-HYBRID #LI-RP1 What you ll get - Professional Development: Grow your career with opportunities within a consultative and professional environment Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts (and more .!) Our Values We act with integrity We are curious about the world We are stronger together We seek to empower We find strength in diversity

About The Role : Job Title Employee Compliance Officer Corporate Title Associate Location Bangalore, India Role Description As an Associate of Employee Compliance in Central Compliance, primary focus will be to review, approve and monitor employee activity within the Personal Account dealing Trading, Employee Trade Surveillance and Consequence Management for APAC, Americas and EMEA region. Team / division overview The Employee Compliance Department protects the Bank by advising on ethical conduct, identifying regulatory solutions, safeguarding integrity and reputation, and promoting, in partnership with the business, a culture of Compliance. Given the increasing regulatory scrutiny and the need to implement a robust and globally consistent control framework, an effective Central Compliance function is a key component to the Departments success. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities As a Reward Specialist you will: Hands on experience in various processes of Employee Compliance - Personal Account dealing Trading, Outside Business Interests, Private Investments, Employee Trade Surveillance and Consequence Management. Liaise with Country Compliance Officers, the business, Operations or Technology in the development, review, testing and/or enhancement of procedures Ability to multi task, the prospective candidate will be dealing with multiple requests. It is critical that requests are managed in an orderly and timely manner Preparing MI and Tracking KPIs and Status updates for senior management. Handle the team of Analysts and Senior Analysts, Team management and People Development. Handling the BAU of the process along with the process escalations, Stakeholder management, Global projects. Your skills and experience Bachelors or Masters in Commerce and Finance. The candidate should have minimum 6 to 8 years prior experience in Investment Banking Operations. Having an exposure to Compliance Operations or performing Compliance related roles is a plus. Must be detail oriented, Strong communicator, comfortable in presenting and explaining analysis to senior management Knowledge/experience with array of financial products (including stocks, bonds, equity/credit derivatives) Advanced MS Excel and PowerPoint skills (pivot tables, experience with large data sets, proficient in data manipulation and presentation) Team player with great attitude and work ethic, ability to multi-task on several different assignments/projects, works well under pressure and meet deadlines Strong attention to detail, coupled with strong problem solving skills Very good Microsoft Office skills (Word, PowerPoint and especially Excel) How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Required for processing and analyzing data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This role involves ensuring data accuracy through cleaning and integration. The analyst uses statistical methods and visualization tools to interpret data and create detailed reports and dashboards. They collaborate with cross-functional teams to support strategic decision-making and continuously improve research methodologies. Strong analytical skills, proficiency in statistical software, and the ability to communicate findings effectively are essential for this position. Required to work from office. KEY JOB RESPONSIBILITIES: Perform data checks using Quantum, SPSS and Excel Writing data cleaning scripts Do data manipulation like labeling, stacking, recoding etc. Resolving client queries and updating their