1129 Data Extraction Jobs - Page 27

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

Company: Marsh Description: Mercer is hiring for below position for Gurgaon locationAnalyst Survey Administration What can you expectThis role is for the Data Analyst in the compensation consulting team What is in it for youThe position offers good career advancement opportunities, supported by training and professional development as well as access to the firms global network We will count on you to Client-related activities contact clients during the survey cycle, respond to client ad-hoc queries Support to the market consultants supports participation solicitation, data collection material distribution & follow-up on data submissions, datavalidation and closure of client queries with support from mentor, resolving results acess related issues and respond to ad-hoc queries Internal administrative tasks - update client participation database, ensure that all the documentation and record keeping are complete What do you need to have Graduate in any discipline Comes with 1 year of experience as a data analyst Good to have HR background Minimum 12 months experience as Analyst(B1)/Senior Analyst(B2) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months What makes you stand out Good understanding of various areas in HR Excellent interpersonal and communication skills Dynamic, motivated, flexible and result-oriented personality with the ability to perform under pressure Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercers more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSEMMC), the worlds leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including YOUR NEXT CAREER MOVEMarsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Serve as a strategic advisor (or consultant) to senior HR and business leaders, leveraging data-driven insights to influence workforce planning, talent strategies, and organizational effectiveness. Lead data management efforts, ensure data privacy and security protocols are followed, and ensure safekeeping of sensitive data. Support incoming requests, such as research, analysis of business need, problem solving, issue tracking, and resolution. Support and execute HR initiatives to help drive more data-based decision making among HR and business clients. Key Responsibilities Product Delivery: Use multiple systems to produce complex and detailed reporting/analytics in response to requests from business leaders or HR staff. Consult with requesters to verify business needs, clarify requirements, and enable data-driven decisions. Identify data source, develop and test queries, perform quality verification of data to ensure accuracy, and provide deliverables to requester within agreed time frame. Ensure all required levels of approval are obtained prior to processing and follow all security protocols for ensuring data privacy is maintained. Operational Efficiency: Translate reporting requirements into effective and impactful dashboards and reports that enable information sharing across the client enterprise. Identify opportunities to reduce cycle times and increase reporting efficiencies. Serve as subject matter expert for HR data and reporting. Organizational Support and Change: Support all HR related projects on behalf of Human Capital Insights. Identify key issues and collaborate with others to solve defined problems. Escalate issues as appropriate. Data Management and Governance: Identify data integrity issues through analysis and collaboration with HR Systems team. Define data audit procedures and requirements, design audit queries, perform scheduled audits, and analyze employee data within HRMS. Escalate all identified data or system issues to the appropriate person(s) for resolution. Independently troubleshoot and research system issues and data trends. Utilize statistical programming and data visualization software as necessary. People Leadership: Provide systems, programs, training, and guidance as needed for growth and development of team members. Mentor team members on technical and communication skills. Proactively share best practices and key learnings with HCI function. Act as a liaison across team, HR Business Partners, and HR COEs. Required Qualifications 7+ years of experience in HR analytics, with a strong track record of strategic consulting. Deep expertise in Workday HCM, including report writing, calculated fields, dashboards, and data extraction. Ability to translate complex business needs into Workday solutions. Proficient in advanced analytics techniques using tools such as Python, R or SQL. Experience with data visualization platforms like Power BI or Tableau to create executive-level dashboards. Experience in handling huge volumes of data and building models in excel using formulas/macros. Understand client requirements/problems, create reports, analyze data, study trends and metrics, and report a high level commentary/executive. Demonstrated ability to lead cross-functional projects and influence stakeholders at all levels. Demonstrated ability to manage multiple priorities, while maintaining high quality of work. Strong analytical, problem solving, and data storytelling skills. A strong willingness to learn new ideas, concepts, and skills. Preferred Qualifications Certification in Workday Reporting or Workday Pro (preferred). Knowledge of regulatory reporting and GDPR guidelines. Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U. S. based financial planning company headquartered in Minneapolis with a global presence. The firm s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if youre talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP. Full-Time/Part-Time Timings (2:00p-10:30p) India Business Unit AWMPO AWMPS Presidents Office Job Family Group Human Capital

Perform data extraction from NIQ, Circana, Spins, and other retail and CPG sources to gather raw data for further analysis. Clean, organize, and validate data to ensure accuracy and completeness. Utilize Microsoft Excel, VBA, and SQL for data manipulation, analysis, and reporting. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Generate and publish excel reports for further uses Apply knowledge of retail and CPG industries to enhance data analysis and reporting. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Computer Application, Science, or relevant education. 1-3 years of experience in data acquisition & analysis or a related field. Proficiency in Microsoft Excel, Microsoft Office, VBA, SQL, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and teamwork abilities. Ability to manage multiple tasks and meet deadlines. Experience in retail and CPG industries is preferred.

Report and analyze finance and operational data from multiple sources to drive decision-making. Utilize Power BI for data visualization (DAX, M language). Normalize and manage various data sets for accuracy and future impact assessment. Collaborate with teams to enhance dashboard automation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience in Reporting and data analytics. Advanced Power BI skills. Advanced SQL knowledge Python knowledge for automation is a plus. Strong analytical skills with a focus on data quality. Preferred technical and professional experience Good Communication skills Understand the data model and how the database works (primary + foreign key, relations) Able to read and edit HTML/CSS code Basics of SQL Salesforce Marketing Cloud knowledge

seeking Data Analyst / Data Engineer to support our data driven sales and marketing efforts and will play a crucial role in automating business data extraction , analyzing customer and lead data, and optimizing telemarketing campaigns.

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Ford/GDIA Mission and Scope: At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow s transportation. Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That s where you can make an impact as part of our Global Data Insight Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDIA) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDIA is to drive evidence-based decision making by providing insights from data. Applications for GDIA include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Qualifications: At least 2 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelors or Masters degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc.) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc.). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc.). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.

Immediate Joiners Preferred We're looking for a tech-savvy Consultant experienced in iLevel software , has experience in building/ editing templates for ingestion, data connections, data items (calculated & static) and portal pages , to join a fast-paced team focused on finance and accounts transformation. This is an exciting opportunity for someone who thrives on problem-solving, collaboration, and driving digital efficiencies. Location: Remote Your Future Employer: A global, innovation-driven business solutions provider Responsibilities: 1. Creating dynamic iLevel templates, reports, charts, and graphs for recurring use 2. Enhancing and testing the iLevel Data Model to meet client-specific reporting needs 3. Validating financial models and resolving data/formula breaks efficiently 4. Extracting and formatting data in Excel for recurring portfolio monitoring tasks 5. Collaborating with stakeholders to independently manage multiple iLevel implementation projects Requirements: Minimum 2 years of experience with iLevel software and advanced Excel skills Proficiency in creating iGets and templates for data extraction Exposure to Python, Tableau, and Monday.com is a plus Educational background: B.Com / M.Com / MBA Strong analytical mindset, team player attitude, and proactive communication skills What's in It for You: Competitive compensation and benefits. A chance to work with a global leader and fast-track your career growth through continuous upskilling and innovation-driven projects. Chance to actively contribute to a positive and inclusive team culture. Be part of a fast-growing organization. Reach Us: If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at vanika.arora@crescendogroup.in for a confidential discussion on role.

The Role The Staff Analyst role is a senior individual contributor position that emphasizes strategic impact, advanced analytical rigor, and cross-functional collaboration. You will focus on product analytics, taking ownership of high-impact projects, mentoring other team members, and contributing to the organization s strategic goals through actionable insights and innovative analytics solutions. This role combines hands-on data work with thought leadership, leveraging advanced analytics techniques, structured problem-solving, and storytelling to guide product decisions and strategy. Key Responsibilities Strategic Analytics Leadership Lead the definition of structured, scalable methodologies to solve high-ambiguity, open-ended product and business problems. Identify and prioritize analytics opportunities to enhance product performance, customer satisfaction, and business growth. Develop long-term strategic plans and next-big-bet ideas for product enhancements, aligned with organizational goals. Advanced Data Analytics Conduct end-to-end analyses, from data extraction to insights presentation, using advanced statistical methods and machine learning techniques as needed. Establish robust frameworks for experimentation and impact assessment of product changes, ensuring statistical rigor and actionable recommendations. Develop dynamic and modularized data solutions, including advanced dashboards, to improve visibility and decision-making across teams. Product Collaboration Partner closely with product managers to define success metrics, instrument new features, and evaluate product performance post-launch. Influence key decisions by effectively integrating analytics into the product lifecycle, from ideation to feature optimization and data products integration. Promote and uphold best practices in instrumentation, experimentation, and impact evaluation within the team and across the organization. Mentorship and Influence Mentor and coach junior analysts, fostering a culture of continuous learning and excellence in analytics. Guide teams on advanced technical skills, including SQL optimization, Python-based data manipulation, and innovative statistical/machine learning approaches. Advocate for and implement analytics innovations, fostering a self-serve analytics culture and enhancing team productivity. Stakeholder Engagement Communicate compelling narratives from complex data insights to senior stakeholders, influencing strategic decision-making and ensuring alignment with organizational goals. Act as a trusted advisor to business and product leaders, abstracting complex challenges into actionable insights and driving stakeholder confidence. Required Qualifications Education: Bachelor s/Master s degree in Engineering, Economics, Statistics, Mathematics, Computer Science, or a related quantitative field. Experience: 7+ years of hands-on experience in analytics, with a proven track record in solving high-impact business problems in consumer tech or fintech. Technical Proficiency: Advanced SQL skills for large-scale data manipulation. Proficiency in Python for data analysis, automation, and machine learning. Expertise in data visualization tools such as Tableau, Looker, or Power BI. Strong understanding of statistical concepts, A/B testing, and causal inference. Familiarity with core concepts such as supervised and unsupervised learning, feature engineering, model evaluation metrics, and model deployment. Experience implementing models such as regression, classification, clustering, and tree-based algorithms Knowledge of best practices for scaling and integrating ML solutions into production environments in collaboration with engineering/data science teams. Knowledge of data pipeline architecture and experience with tools like Airflow or similar DAG orchestration frameworks. Business Acumen: Deep understanding of product lifecycle, KPIs, and business strategy in consumer tech or fintech contexts. Experience leading cross-functional projects with significant organizational impact.

Schneider Digital is seeking an Informatica developer who will be an excellent addition to the forBusiness Intelligence team. Responsibilities: This role is for BI KPI portal operations and Development. Domains including: Data Integration, Data Extraction from Legacy systems, Data Warehousing, efficient in Extract/Load/Transform (ETL)workflows (Informatica PowerCenter and Informatica cloud services) Strong experience in design, development and testing of Informatica based applications (PowerCenter10.2 and Informatica cloud services) Should have Strong knowledge of Oracle database, PL/SQL development, UNIX scripting. Should understand the overall system landscape, upstream and downstream systems Excellent knowledge of debugging, tuning and optimizing performance of database queries Good experience in Data Integration: Data Extraction from legacy systems and Load into Redshift and Redshift spectrum. Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package Should be proficient in the end-to-end software development life cycle including: Requirement Analysis, Design, Development, Code Review, Testing Responsible for ensuring defect-free and on-time delivery Responsible for Issue resolution along with corrective and preventive measures. Should be able to manage diverse set of Stakeholders and report on key project metric / KPIs Lead brainstorming sessions, provide guidance to team members, identify value creation areas, be responsible for quality control Establish standard processes and procedures and promote team collaboration selfimprovements Should be able to work on agile Methodologies (Jira) Internal Qualification Education: Graduate Engineering Degree (B.E. / B.Tech) 4+ years of experience working as Informatica, Informatica cloud, Data warehousing and Unix Scripting 4+ years of experience working in Agile teams Demonstrates strong ability to articulate technical concepts and implications to business partners Excellent communication skills Strong experience in design, development and testing of Informatica based applications (PowerCenter10.2 and Informatica cloud services) Should have Strong knowledge of Oracle database, PL/SQL development, UNIX scripting. Should understand the overall system landscape, upstream and downstream systems Excellent knowledge of debugging, tuning and optimizing performance of database queries Good experience in Data Integration: Data Extraction from legacy systems and Load into Redshift and Redshift spectrum. Supports the module in production, resolves hot issues and implement and deploy enhancements to the application/package

Job Description: We are seeking a Tableau Developer with 5 years of experience in designing, developing, and deploying business intelligence solutions. The ideal candidate will have a deep understanding of data visualization principles, experience in data analysis, and a proven track record of delivering impactful dashboards and reports. You will work closely with stakeholders across the organization to turn complex data sets into easy-to-understand visual stories. Key Responsibilities: Dashboard Development: Design, develop, and maintain interactive Tableau dashboards, reports, and visualizations that meet business needs and provide actionable insights. Ensure the scalability and performance of Tableau solutions by optimizing queries and visualizations. Data Analysis: Analyze and interpret complex data sets from multiple sources to identify trends, patterns, and insights. Collaborate with data analysts and data engineers to define data requirements, create data models, and prepare datasets for visualization. Stakeholder Collaboration: Work closely with business stakeholders to gather requirements, understand business objectives, and translate them into effective visual solutions. Present findings and recommendations to non-technical audiences, ensuring that insights are accessible and actionable. Create backlogs , stories and manage sprints in Jira. Data Integration: Connect Tableau to various data sources, including databases, cloud services, and APIs, ensuring data accuracy and consistency. Develop and maintain data extraction, transformation, and loading (ETL) processes as needed. Best Practices Training: Stay up-to-date with Tableau s latest features and industry trends to continuously improve the organization s BI capabilities. Provide training and support to end-users to maximize the adoption and usage of Tableau across the organization. Qualifications: Education: Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field. Experience: 5+ years of hands-on experience as a Tableau Developer. Proven experience in creating complex dashboards and visualizations using Tableau Desktop and Tableau Server. Strong understanding of SQL and experience in writing complex queries. Experience with data warehousing concepts, ETL processes, and data modeling. Skills: Proficiency in Tableau Desktop, Tableau Server, and Tableau Prep. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Familiarity with other BI tools (e.g., Power BI, QlikView) is a plus. Excellent communication skills, with the ability to convey technical information to non-technical stakeholders. Experience with Agile project management tools like Jira, gathering requirements and creating stories. Preferred Qualifications: Experience with programming languages like Python or R for advanced data manipulation. Knowledge of cloud platforms (e.g., AWS, Azure) and experience with cloud-based data sources. Tableau certification (e.g., Tableau Desktop Specialist, Tableau Server Certified Associate) is a plus.

Who We Are Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners. About The Role As a Senior Data Engineer you ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions. What You ll Do Design, build, and manage robust data pipelines and data architectures. Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows, ensuring reliability, scalability, and performance. Collaborate with internal stakeholders to understand data needs and deliver tailored solutions. Ensure data security and compliance with industry standards and best practices. Perform data modelling, data extraction, transformation, and loading (ETL/ELT). Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications Bachelor s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. 5+ years of professional experience as a Data Engineer or similar role. Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake. Hands-on experience with data pipeline tools, cloud services, and storage solutions. Strong programming skills in SQL, Python, or related languages. Experience with big data technologies and concepts (Spark, Hadoop, Kafka). Excellent analytical, troubleshooting, and problem-solving skills. Ability to effectively communicate technical concepts clearly to non-technical stakeholders. Nice to have Certifications related to Azure Data Engineering, Databricks, or Snowflake. Familiarity with DevOps practices and CI/CD pipelines #LI-Hybrid

Job Details Position: Email Marketing Specialist (Data Extraction + Bulk Emailing) Job Mode: Work From Home Salary: Rs. 15,000 - Rs. 20,000 Per Month + Incentives Timings: 11 am to 8.30 pm (Monday to Friday) Week offs: Saturday & Sunday are fixed week offs Role & responsibilities We are seeking a highly motivated and detail-oriented Email Marketing Specialist to join our dynamic team. As a Email Marketing Specialist, you will play a crucial role in gathering, analyzing, and interpreting data to provide actionable insights that will drive our business growth. Your primary responsibility will be to conduct in-depth market research, identify potential leads, and run effective campaigns to support our sales and marketing efforts. Proficiency in using internet tools like Apollo.io, RocketReach, and other similar platforms is essential for success in this role. 1. Conduct In-Depth Market Research: Analyze market data and industry trends Identify potential leads and target markets 2. Lead Generation: Utilize tools like Apollo.io, RocketReach, LinkedIn & other resources to identify and qualify potential leads Build and maintain a high-quality lead pipeline 3. Campaign Management: Plan and execute marketing campaigns Monitor and optimize campaign performance 4. Data Analysis: Extract actionable insights from research data Provide reports and recommendations to support decision-making Preferred candidate profile 1-3 years of experience in Email Marketing/ Data extraction or a similar role. Proficiency in internet research and lead generation tools. Familiarity with CRM. Excellent verbal and written communication skills Strong organizational and time management abilities.

Qualifications and Experience: BS/MS or BCA/MCA or bachelors/masters degree in Math, Statistics, Computer Science, Engineering, or another technical field. Experience required: 5+ years. Experience in Data engineering with Python\R Experience in SQL, MS-SQL Server, or other relational databases. Azure Cloud Service experience\AWS\Google Could Service (Optional) API automated Data extraction pipeline Experience in developing and maintaining integrated visualization reports in PowerBI (Optional) Experience with software deployment project lifecycle phases - requirements gathering, planning, testing, delivery, enhancements, support. Experience in Project Management (Preferred) Exceptional communication skills and fluency in English (professional level). Key Skills / Attributes Exceptional analytical and problem-solving skills, strong attention to detail, organization skills, and work ethic. Self-motivated and team-oriented, with the ability to work successfully both independently and within a team. Ability to balance and address new challenges as they arise and an eagerness to take ownership of tasks. Drive to succeed and grow a career in the Project/Program Management Principal Duties & Key Responsibilities Key Duties & Responsibilities This role will require to work independently or in team to solve data problems with unstructured data. Collaborate with other team members and other disciplines to deliver project requirements. Work independently to complete allocated activities to meet timeframe and quality objectives and meeting or exceeding client expectations. Develop effective materials for clients, making sure that their messages are clearly conveyed through the appropriate channel, using the language that is suitable for the intended audience and readers, and would induce the desired response. Actively contribute to Arcadis Global Communities of Practice relevant to Project Management, Data Visualization, and Power Platform, through knowledge shares and case study presentations. Actively contribute to the Digital Advisory community of practice, through development of integrated solutions that embed GEC capabilities into core advisory business. Data Engineering, Management, and Visualisation Experience in manipulating, transforming, and analysing data sets that are raw, large, and complex. Demonstrates ability to plan, gather, analyse, and document user and business information. Incorporates, integrates, and interfaces technical knowledge with business / systems requirements. Understanding of all aspects of an implementation project including, but not limited to planning, analysis and design, configuration, development, conversions, system testing, cutover and production support. Produce written deliverables for requirement specifications and support documentation: process mapping, meeting minutes, glossaries, data dictionary, technical design, system testing and implementation activities. Collect and organize data, data warehouse reports, spreadsheets, and databases for analytical reporting. Strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries. Experience in creating automated data extraction pipeline from various sources like API, Databases in various formats. A problem solving, solution driven mindset with the ability to innovate within the constraints of a project time/cost/quality.

Ford/GDIA Mission and Scope: Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. That s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making. The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. About the Role: You will be part of the FCSD analytics team, playing a critical role in leveraging data science to drive significant business impact within Ford Customer Service Division. As a Data Scientist, you will translate complex business challenges into data-driven solutions. This involves partnering closely with stakeholders to understand problems, working with diverse data sources (including within GCP), developing and deploying scalable AI/ML models, and communicating actionable insights that deliver measurable results for Ford. Qualifications: At least 2 years of relevant professional experience applying data science techniques to solve business problems. This includes demonstrated hands-on proficiency with SQL and Python. Bachelors or Masters degree in a quantitative field (e. g. , Statistics, Computer Science, Mathematics, Engineering, Economics). Hands-on experience in conducting statistical data analysis (EDA, forecasting, clustering, hypothesis testing, etc. ) and applying machine learning techniques (Classification/Regression, NLP, time-series analysis, etc. ). Technical Skills: Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis. Proficiency in Python for data manipulation (Pandas, NumPy), statistical analysis, and implementing Machine Learning models (Scikit-learn, TensorFlow, PyTorch, etc. ). Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models. Experience with version control systems, particularly Git. Nice to have: Exposure to Generative AI / Large Language Models (LLMs). Functional Skills: Proven ability to understand and formulate business problem statements. Ability to translate Business Problem statements into data science problems. Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions. Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences. Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making. Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen. Extract, analyze, and transform data using SQL for insights. Apply statistical methods and develop ML models to solve business problems. Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments. Work closely and collaboratively with Product Owners, Product Managers, Software Engineers, and Data Engineers within an agile development environment. Integrate and operationalize ML models for real-world impact. Monitor the performance and impact of deployed models, iterating as needed. Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.

Job Summary Participates in reviewing, analyzing, and modifying client/server applications and systems. Job Requirements Develop and maintain integrations between CDM and other systems, such as CRM, order management, and other boundary systems. Customize and extend MDM functionality using Oracle tools, such as Oracle Integration Cloud, Oracle Application Composer, Oracle Visual Builder. Perform data migration activities, including data extraction, transformation, and loading into the MDM system. Conduct unit testing, system testing, and support user acceptance testing for MDM-related developments. Troubleshoot and resolve technical issues related to MDM configuration, customization, and integration. Collaborate with infrastructure, operations and security teams to ensure the availability, performance, and security of the MDM system. Strong technical expertise in Oracle tools and technologies, including Oracle Integration Cloud(OIC),Oracle SQL, PL/SQL, Python and Groovy scripts(or similar scripting language) . Hands-on experience with Oracle ERP Cloud CDM configuration, customization, and extension . In-depth knowledge of data integration techniques, such as web services, REST APIs, Pub-sub and file-based data imports/exports . Familiarity with data migration methodologies and tools, including data extraction, transformation, and loading (ETL) processes. Good to have BI Publisher, OTBI, Product Data Hub, Contact Master and Enterprise Data Management skills . Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience.

Notice Period : 15 Days Location Bengaluru Primary Skills SAP SAC cloud Analyst, reporting. Job Description: SAP Reporting Consultant Job Description We are seeking an experienced SAP Reporting Consultant to design, develop, and optimize reporting solutions across various SAP modules. The ideal candidate should have expertise in SAP BW/4HANA, SAP BusinessObjects (BO), SAC (SAP Analytics Cloud), or embedded reporting tools like Fiori and S/4HANA Embedded Analytics. This role involves working closely with business teams to ensure accurate, efficient, and real-time reporting for decision-making. Design and develop SAP reporting solutions using BW/4HANA, BusinessObjects, SAC, or S/4HANA Embedded Analytics. Work with business teams to understand reporting needs and translate them into efficient dashboards and reports. Ensure data accuracy, consistency, and performance optimization in reporting solutions. Develop and maintain custom reports, CDS views, and KPI dashboards. Integrate SAP reporting tools with other applications for seamless data extraction and visualization. Support and troubleshoot reporting performance issues and data inconsistencies. Ensure compliance with security, governance, and authorization standards for reporting access. Provide user training and documentation to ensure effective utilization of reporting tools. Work with technical teams for enhancements, upgrades, and new report development. Participate in SAP migrations, rollouts, and process improvement initiatives related to reporting. Required Skills & Experience: 4 to 6 years of experience in SAP reporting and analytics. Expertise in SAP BW/4HANA, SAP BusinessObjects (BO), SAC (SAP Analytics Cloud), or S/4HANA Embedded Analytics. Strong knowledge of CDS Views, Fiori reporting, and ABAP Query development. Experience in cross-functional integration with SAP FI, CO, MM, SD, PP, and HR modules. Hands-on experience with SAP S/4HANA (preferred) or ECC. Ability to analyze data models, extract key insights, and optimize report performance. Strong understanding of data governance, authorization concepts, and security compliance. Experience in SQL, HANA modeling, and real-time data extraction is a plus. Strong problem-solving, analytical, and communication skills. Preferred Skills: SAP BW, BO, or SAC Certification is a plus. Background in financial, supply chain, or operational reporting is beneficial. Sap Sac

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

We are seeking a skilled and detail-oriented Web Scraping Engineer to design, develop, and maintain scalable data scraping systems. Y

The ideal candidate is an experienced analyst who has demonstrated proficiency in analytics driven business solutions. The person would be a Data resource for the team and would work to generate actionable intelligence and insights for the team through rigorous data analysis and structured reporting, ensuring their efforts are focused in the appropriate areas. The person would deep-dive and bring out pointers that will help bring in continuous improvement/changes in processes from the Loss Prevention standpoint, thereby helping in reducing the losses across Amazon network. They are comfortable in analyzing data from multiple sources to create strategic recommendations in a thoughtful, concise manner and obtaining organizational buy-in at senior levels. They are well-organized, can manage multiple analyses/projects simultaneously, and is intellectually curious. Successful candidates will be expected to demonstrate our leadership principles: a bias for action, deep-dive, ownership and customer-obsession. Key Responsibilities includes 1.Converting data into digestible business intelligence and actionable information 2.Writing high quality SQL codes to retrieve and analyze data. 3.Working with large data sets, automate data extraction, and build monitoring/reporting dashboard 4.Interacting with internal stakeholders to deep-dive outlier events 5.Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities 6.Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing. 7.Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

We are hiring for Email Marketing Specialist Noida location Hello Connections Greetings from Mount Talent Consulting Position - Email Marketing Specialist Location - Noida Sector 16 Experience Required - 2-6 years experience into Email marketing & Lead generation Skills - Email Marketing/B2B Campaigns/Data Extraction/Lead generation Know anyone who might be interested can share there CV's at kashish.ansari@mounttalent.com OR Call/WhtsApp at 7452833724

Advertising enables monetization on all of Amazons commerce and content sites worldwide, and is a strategic bet. Our guiding principle is to deliver the right ad to the right customer at the right time. This enhances both the customer experience and, in the long run, our advertisers return on investment. We create only high quality advertising products that are valuable to advertisers and customers alike, and increase customer discovery on the Amazon site. Our team offers a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach customers on web-based shopping portal, and on millions of mobile and tablet devices. Customer-centricity is our core principle, guiding everything we do, including our approach to advertising. If you re obsessed with being a part of digital advertising that informs instead of interrupts; that helps customers deliver great products and brands, not just delivers impressions; and that empowers customers to be decisive, rather than distracts them then we want you to come join us and make advertising even better. We are a motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action and a broad mandate to experiment and innovate. This role offers an opportunity to make a significant impact on the future vision for Amazon. This position is based at Amazon India in Bangalore. We are looking for a hands-on, detail-oriented, highly-motivated Ads Account Manager who is a problem solver at their core and is able to deliver on advertising priorities for their advertisers. Build solid relationships with advertisers, displaying a dedication to delivering first-class service and advertising solutions Flawlessly execute end-to-end campaigns, liaising with advertisers to align to advertiser priorities. Effectively align spends for defined cadence (week / month/ quarter / sale event) Analyze campaign performance against key metrics to identify, recommend, and implement optimizations to increase efficiency, drive high renewal rate and meet advertisers KPIs Keep regular track of defect metrics (like high ACoS) and ensure a timely nudge to advertiser for course-correction. Monitor and communicate campaign progress to the advertiser through regular, in-depth activity reports and insights, using this knowledge as a basis for future campaigns Track Own the Ad Revenue goals for the set of advertisers being managed and deploy different ad-product strategies to exceed goals/cover for gap to goal in case needed. Leverage our suite of rich data, targeting and product channels to collaborate with the other teams in the development of tailored solutions that meet clients goals Co-lead monthly and quarterly performance reviews with advertisers Drive operational excellence to ensure SLA adherence and client satisfaction Bachelors degree with 2+ years experience in SEM/ business development/sales within E-Com/Ad agency/E-com service provider domains Ability to effectively communicate his/her thoughts in a well-organized manner Strong Excel and PowerPoint skills Strong analytical skills Ability to work cross-functionally with a wide range of employees with different skill sets 2+ years proven experience in ad operations ad sales, online marketing/online ad sales or programmatic advertising 2+ years working in an external client facing environment involving aspects of business development Advanced Excel / Power BI skills with ability to write SQL queries for data extraction purposes