916 Data Analyst Jobs

The Data Analytics team at KCI empowers Egon Zehnder s global operations by delivering data-driven insights and solutions. Through advanced analytics, visualization, and reporting, they enable informed decision-making, optimize processes, and support strategic initiatives ensuring high-impact outcomes across leadership advisory and internal business functions. Validation of data Validating the numbers between different environments. Process management Quality Control on the data validated. Key Result Areas Analyse

Lead Analyst - Data Analyst with Financial Services/Banking Domain Position Description Company Profile: Were Hiring at CGI for our GCC - Right Here in Hyderabad! Join us at the intersection of technology, finance, and innovation. You will be working to support the PNC Financial Services Group, one of the top-tier financial institutions in the U.S. You’ll help shape digital solutions for a global enterprise—from the ground up. This is more than a job. It’s your opportunity to: • Work on cutting-edge technologies • Collaborate with global teams • Build a career with purpose and impact Ready to build the future of banking? Let’s talk. Job Title: Lead Analyst - Data Analyst with Financial Services/Banking Domain Position Title: Lead Analyst - Data Analyst with Financial Services/Banking Domain Experience: 6 to 8 Years Category: Software Development/ Engineering Main location: Hyderabad Shift Timings: General Shift Employment Type: Full Time-Permanent Position ID: J0725-1564 Job Summary: CGI is looking for a detail-oriented and experienced Data Analyst with a strong background in banking and financial services. The ideal candidate will have hands-on experience working with banking products data, performing data analysis, SQL querying, data mapping, and creating business and technical documentation. You will act as a liaison between business stakeholders and technical teams to ensure data solutions meet business objectives. Your future duties and responsibilities • Analyze and interpret banking and financial product data (e.g., loans, deposits, credit cards, payments, investments). • Collaborate with business and IT stakeholders to elicit and document requirements for data-related projects. • Perform complex SQL queries to extract, validate, and analyze data from various systems. • Conduct data mapping between source and target systems and document data transformations. • Create and maintain detailed documentation, including data dictionaries, business rules, process flows, and mapping specs. • Develop system and process diagrams to represent data flows, system interactions, and integration points. • Assist in relational data modeling and work closely with data architects to design or refine schemas. • Support data migration, data quality assessment, and reconciliation activities. • Participate in testing, including validating data transformations and supporting UAT with business users. • Maintain compliance with data governance standards and ensure data accuracy and security. Required qualifications to be successful in this role • 6-8 years of experience as a Data Analyst or Data Systems Analyst in the banking or financial services domain. • Strong understanding of banking products and data structures (e.g., core banking systems, customer data, transaction data). • Proficient in SQL for data analysis, validation, and extraction across large datasets. • Proven experience in data mapping, data lineage documentation, and data transformation logic. • Skilled in requirements gathering, functional documentation, and communicating technical concepts to business users. • Ability to create system diagrams, data flow diagrams, and ER models using tools like Lucidchart, Visio, or similar. • Solid understanding of relational database concepts and experience with data modeling. • Experience working in Agile or Waterfall project environments. • Strong analytical thinking, attention to detail, and problem-solving skills. • Excellent verbal and written communication skills. Preferred Qualifications: • Experience with core banking platforms or financial services. • Hands-on experience with tools like Power BI, Tableau, or Excel for reporting is a plus. • Good to have Python and Teradata.

Hello, We are hiring for "Analytical Engineer" Exp: 6+Years Location: Remote Notice Period: Immediate joiners(notice period served or serving candidate) NOTE: We are looking for Immediate joiners(notice period served or serving candidate) Apply only If you are Immediate joiners(notice period served or serving candidate) Apply only if you are having 6+Years of relevant experience as per the JD. Job description: Key Responsibilities: Design, build, and maintain scalable and reusable data models using tools like dbt (Data Build Tool). Collaborate with data engineers to ingest and transform data from various sources. Ensure data quality, consistency, and documentation across all datasets. Work closely with analysts and business teams to understand data needs and deliver actionable insights. Implement and maintain data testing frameworks to validate pipeline integrity. Optimize SQL queries and data transformations for performance and scalability. Maintain version control and CI/CD pipelines for analytics codebases. Monitor and troubleshoot data pipelines and models in production. Skills Data analysts with SQL skills who can analyse data & develop reports using Looker, Domo tools. 5+ years of experience in data engineering, analytics, or BI development. Proficiency in SQL and experience with dbt or similar data modeling tools. Familiarity with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift). Strong understanding of data warehousing concepts and ETL/ELT processes. Experience with Git and CI/CD workflows. Excellent communication and collaboration skills.

Be part of Telecom Services practice team - Practice Development & Solution Design. Build solution design for Telecom BSS/OSS across different geographies. Conceptualize and create digital solution for Telecom clients. Lead Telecom digital transformation projects globally for multiple accounts or multiple engagements Responsible for business development efforts - response to RFXs, creation of collaterals and presales support 8+ years of experience in telecom domain in practice development/consulting/solution design role in Digital organizations/practices. Strong consulting, solution development skills and business acumen . Contact Person - Ramya V Email - ramya@gojobs.biz

Job Summary If you are passionate about data mining and analysis looking for an opportunity to grow, Emerson has an exciting opportunity for you based in our Chennai location. We are currently hiring a Data analyst - Life cycle services (LCS) responsible for the creating Critical site data base and project data base, reporting dashboards supporting all world areas across Actuation Technologies. Through collaboration with Sales, inside sales and Project management will develop value based Installed base growth enablers and data repository. Emerson offers generous benefits, flexible work schedules, and we are committed to a diverse workforce! As a Data Analyst Life cycle service, your Responsibilities Will Be: Collect and analyze lifecycle data related to products or projects across global manufacturing sites to support business decisions Monitor and analyze data from various Life cycle digital tools to gain insights into user behaviors and usage metrics. Identify any issues or areas for improvement and work with business teams to address them Create project-based SPIR and Data Books that summarize lifecycle insights for sales stakeholders Build and maintain user-friendly tools and dashboards to automate data collection and reporting processes for project teams Collaborate with cross-functional teams to validate and ensure completeness of lifecycle data Develop and maintain structured databases to store lifecycle data efficiently, ensuring integrity and accessibility Help formulate strategies to enhance user engagement and retention. Prepare detailed reports and visual dashboards to support decision-making and update status documents in the document management tool to drive sales growth. Monitor and report document planning and outstanding items using the document management tool, ensuring compliance with documentation control metrics Who You Are: You know how businesses work and how organizations make money. You understand the meaning and implications of key financial indicators. You understand internal and external stakeholder requirements, expectations, and needs. You keep a strong bottom-line orientation. You come up with useful ideas that are new, better, or unique, introducing new ways of looking at problems. You ask the right questions to accurately analyze situations. You are an effective leader who drives team engagement. Education, skill, and experience, you require for this role: Bachelor s degree in engineering (or) in Business/ Computer Science 1 to 3 years of overall experience, preferably in Engineering, Marketing, Sales, and lifecycle services with an industrial (business-to-business) company selling configured products. Certified user of Microsoft Power Platforms (Power BI, Power Apps/Automate) Clear and effective communication skills (both written and oral) to convey data insights to stakeholders and collaborate with cross-functional teams. Strong problem-solving skills to address data-related challenges and improve optimization processes. Excellent ability to analyze complex data sets and extract meaningful insights Strong quantitative and qualitative analytic skills Demonstrated ability to work in a team and cross world area environment. Ability to drive change and effectively handle multiple priorities. Management Competencies Preferred Qualifications that Set You Apart: Equivalent Post Graduation program in Business Management or Data Analytics (Offline, Online or Hybrid programs) Must be able to multitask between the various assigned projects. Experienced user in ERP, preferably Oracle Meticulous attention to detail to ensure data accuracy and integrity Understanding of lifecycle management concepts and how data insights can improve processes and lifecycle stages. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Senior Data Analyst (4 7 Years) Technology Experts Senior Data Analyst (4 7 Years) Fully Remote Bengaluru We are looking for a Senior Data Analyst with expertise in accessibility compliance data and dashboarding. The role involves building insightful dashboards, ensuring compliance with accessibility standards, and supporting stakeholders with accessibility-related data requirements. Key Responsibilities Build and manage dashboards in Power BI with secure access using Row-Level Security. Gather and analyze requirements from business stakeholders, ensuring compliance with accessibility standards and legal requirements. Support Agile ways of working within a product team environment. Facilitate BAT and UAT processes for data and reporting solutions. Provide insights and recommendations based on accessibility compliance data. Must Have Skills Strong knowledge of Accessibility Standards (WCAG) and compliance frameworks such as the European Accessibility Act (EAA) . Advanced proficiency in Power BI with experience in interactive and inclusive dashboard design. Moderate SQL skills for data extraction and validation. Strong communication skills and ability to manage stakeholder requirements. Experience working with Agile methodologies. Nice to Have Knowledge of Python and basics of Data Science. Familiarity with GCP data products , DevOps (GitHub, automated deployments), and self-service BI setups. Experience with Jira and product team collaboration. Job Type: Job Location: Apply for this position Are you willing to work & report at Flexible hours * How soon can you start * Allowed Type(s): .pdf, .doc, .docx Years of Experience LinkedIn Profile Link * By using this form you agree with the storage and handling of your data by this website. *

Job Description We are hiring a Power BI Developer to support our global internal teams (Finance, HR, Strategy, Corporate Functions) by delivering high-impact business intelligence dashboards, datasets, and analytics solutions. This role is critical for strengthening our internal reporting systems and driving data-backed decision-making across the organization. Key Responsibilities Design, maintain, and enhance internal Power BI dashboards and analytics for Corporate Finance and other functions. Manage Power BI Service administration tasks, including access control, workspace setup, and gateway configurations. Develop reusable data models using Power BI add-ons (Tabular Editor, DAX Studio, ALM Toolkit). Perform data ingestion, transformation, and enrichment using SQL/Python for structured reporting. Support cross-functional stakeholders with on-demand reporting requests and business data exploration. Maintain documentation for dashboards, models, and datasets; conduct demos, training sessions, and technical watch initiatives. Respond to ad-hoc requests across Power Platform tools (PowerApps, Power Automate). Qualifications Education: Bachelor s or Master s degree in Computer Science, Information Systems, Data Analytics, or related field. Experience: 3-6 years of experience developing with Power BI in a p

In this role as a Data Analyst at Altium, you will play a crucial part in supporting customers and their suppliers with onboarding, technical support, and data analytics. Your main responsibilities will include evaluating customer Spend and Bill of Material data for ingestion, troubleshooting issues and collaborating with technical teams to report bugs, managing inbound support requests effectively, advocating for customers, identifying trends in feature requests, contributing to training documentation, and assisting teammates in handling technical issues. To excel in this position, you should hold a Bachelor's degree in computer science, engineering, or equivalent from a reputed university. Additionally, you should have at least 3 years of experience as a Business Analyst in Procurement or Supply Chain, possess effective interpersonal and communication skills, be proficient in Advanced Excel and digital tools, have an understanding of Bill of Material and procurement data structures, be capable of comprehending complex data sets and identifying gaps, and have a strong background in customer support and logical troubleshooting. Moreover, you should be self-motivated, able to work with minimal supervision, and develop proficiency in a ticketing system. As an Altium employee, you will have access to a range of benefits in India, including annual leave, paid sick leave, bereavement leave, maternity/paternity leave, public holidays, medical insurance, business travel and meal allowance, home internet allowance, Employee Mental Assistance Program, work anniversary gifts, employee referral program, remote working abroad program, professional development support and resources, lunch coupons, and cafeteria refreshments in the office. At Altium, they value big-thinking in pursuit of purpose, diversity of thought, courage of conviction, transparency of intent, ingenuity of AND, agility in action, adaptability of approach, and grit in pursuit of mission. For more information on why a career at Altium is an opportunity like no other, you can watch this video: [Altium Career Video](https://www.youtube.com/watch v=cAYCOLpPLPE) To learn about Altium Benefits, visit: [Altium Benefits Page](https://careers.altium.com/#s-benefits),

About Lumen Technologies Lumen Technologies is a global technology company that delivers innovative communication and network solutions. Our mission is to empower businesses and individuals to connect, grow, and thrive in the digital age. With a focus on customer experience and operational excellence, we strive to provide cutting-edge solutions that meet the evolving needs of our customers. Job Description : Role : Senior Data Architect/Consultant Years of Experience : 8-14 years Work Location : Bangalore Work Mode : Hybrid Shift timing : Afternoon Shift. Mandatory skills : Advance in Oracle, Advance in SQL, Python or Bash scripting, Data analytics and any cloud. Main Responsibilities: Maintain data warehouse schemas located in Oracle and Google Big Query. Ensure procedures are running on schedule and resolve bugs as they arise. Random validation to ensure accuracy of the reporting views. Complete audits for data governance and process. Create and maintain python scripts utilized for automated reporting and ETL. Create and manage complex reporting views, tables, and procedures including ETL work within Oracle DBMS. Transition Oracle schemas to GCP Create and maintain data dictionaries and warehouse documentation. Locate and source new data as needed. Capture, develop, and document data definitions, business rules, and data quality requirements. Maintain code in Git repositories. Work in Azure ADO for intake management and sprint planning Adhoc reporting and analysis Create adhoc reporting and analysis as requested by stakeholders to solve business problems or hypothesis test business questions Technical Skills: Bachelors Degree or equivalent experience in Business Intelligence, Computer Science, Mathematics, Statistics, or related field. Ability to translate business needs to technical specifications. Advanced to Expert database development and management, preferably in Oracle utilizing stored procedures, complex nested statements, schedules, and functions in the capacity of golden reporting layer reporting, schema maintenance, ETL across data warehouses, requirements gathering, and QA/QC. Intermediate to Advanced python development in the capacity of automation of recurring reporting, ETL, API, process automation. Advanced GCP data architecture, ETL, procedures, schedules, functions, ETL, and complex queries designed for efficiencies and cost optimizations. Informatica Cloud experience. Experience transitioning from Oracle or similar warehouse structure to GCP for reporting layers. Data Governance, data integrity, QC experience. Ability to manipulate and summarize large data sets. Other Skills: Efficient time management skills. Must possess strong communication and relationship development skills. Telecom industry experience preferred Comfortable reaching out to domain experts to seek knowledge needed. Self-starter with ability to work in a fast-paced collaborative environment and asynchronously. Experience working with global teams across various time zones. Coaching, training, and mentoring team members. Live within the Lumen 8 core beliefs and values. Proactive communication and project updates. Comfortable providing recommendations for steering the direction of data architecture and data governance best practices within the team. Comfortable looking for, testing, and implementing creative solutions for complex problems. Proactive mindset to future proof developments Ability to pivot quickly when chosen path is not working as intended. Drafting standard operating procedures, knowledge documentation, data dictionaries, wireframes, etc. "We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any form of payment from candidates at any stage of the recruitment process. If anyone claims to offer employment opportunities in our company in exchange for money or any other benefit, please treat it as fraudulent and report it immediately."

Designation: CRM Data Analyst Summary: Analyze customer data within a CRM system to identify trends, patterns, and opportunities for improvement in customer acquisition, retention, and engagement. Create reports, dashboards, and visualizations to present findings to stakeholders and recommend actionable strategies. Key Responsibilities: Analyze customer data to identify trends, patterns, and insights related to customer behavior, preferences, and needs. Reporting and Visualization: Design, develop, and maintain reports and dashboards to visualize data and insights in a clear and concise manner. Develop and maintain customer segmentation strategies to target specific groups with tailored marketing and sales messages. Analyze campaign performance data to identify areas for improvement and recommend strategies for optimizing customer engagement and conversion rates. Ensure data accuracy, consistency, and completeness within the CRM system. Work with cross-functional teams (e.g., sales, marketing, customer service) to translate data-driven insights into actionable strategies. Present findings and recommendations to stakeholders in a clear and persuasive manner. Identify emerging trends in customer behavior and preferences to inform strategic decision-making. Analyze customer data to identify and address issues related to customer satisfaction, retention, and churn. Skills and Qualifications: Strong analytical and problem-solving skills, with the ability to identify patterns and trends in large datasets. Preferred experience with CRM software (e.g., Salesforce, Dynamics 365) and related tools (e.g., Tableau, Power BI). Experience creating and interpreting reports and dashboards using data visualization tools. Excellent written and verbal communication skills, with the ability to present findings and recommendations to stakeholders. Knowledge of data analysis techniques (e.g., statistical analysis, regression analysis). Understanding of CRM concepts, processes, and best practices. Ability to ensure data accuracy, consistency, and completeness within the CRM system. Ability to identify and resolve data-related issues and problems. Thanks & Regards, Ankita Ghadigaonkar Assistant Manager Talent Acquisition P: 022 66807777 M: 88283 00920 E: ankita.ghadigaonkar@orra.co.in A: HOUSE OF ORRA, Plot B26, off New Link Road, Andheri (W), Mumbai 400053

As a Technical Content team member at Itvedant, your role will involve researching, writing, and editing technical content across various platforms such as websites, blogs, and user manuals. You will also be responsible for creating clear marketing copy to promote our products and services. Collaboration with technical teams to simplify complex concepts, ensuring accuracy and consistency in all technical content, and optimizing content for search engines using SEO best practices will be key areas of focus. Additionally, you will review and edit existing technical content, assist in developing content strategies, and implement them effectively. Key Responsibilities: - Research, write, and edit technical content for websites, blogs, and user manuals. - Create clear marketing copy to promote products/services. - Collaborate with technical teams to simplify complex concepts. - Ensure accuracy, consistency, and alignment with brand messaging in technical content. - Optimize technical content for search engines using SEO best practices. - Review and edit existing technical content for accuracy and clarity. - Assist in developing and implementing content strategies. Qualifications Required: - Currently pursuing or recently completed a Bachelor's degree in Technical Writing, Computer Science, Engineering, or related field. - Strong written and verbal communication skills. - Excellent attention to detail and ability to adhere to brand guidelines. - Familiarity with SEO best practices. - Ability to work independently and as part of a team. - Strong organizational and time management skills. - Proficiency in Microsoft Office Suite and Google Suite. About Itvedant: Itvedant is a company dedicated to bridging the gap between education and the skills required for the job market. With a strong passion for teaching, we strive to empower our students for a successful future. Joining our team means becoming a part of a dynamic and passionate group from the software industry, committed to guiding students towards a bright career path. Skills Required: - Data Analyst (Advance Excel, Tableau, Power BI) - Python (Django) - Java (Spring Boot) - Data Science (Machine learning, Deep learning, NLP, Computer Vision),

Consulting DA SQL/TSQL + Power BI Senior The opportunity As part of our EY-DnA team, you will help clients in developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality. Working with latest tools available in the market you will help clients by acquiring data from primary or secondary data sources and maintain databases/data systems and help to identify, analyse, and interpret trends or patterns in complex data sets. Using your expertise in data analytics you will help our clients to view data in context and make smarter business decisions to achieve improved products and services. We re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your key role and responsibilities Work as a Senior team member to contribute in various technical streams EY DnA implementation project. Client focused with good presentation, communication and relationship building skills. Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations Exposure to BI and other visualisation tools in the market Building a quality culture Foster teamwork Participating in the organization-wide people initiatives Skills and attributes for success BE/BTech/MCA/MBA with adequate industry experience Should be at least around 3-7 years of experience in Enterprise intelligence Ability to translate business requirements / mock-ups / blueprints into technical solutions Ingesting data from a variety of corporate data sources and performing required transformations in Power BI query editor. Build dashboards, reports and cubes using SQL, MDX, DAX, Power BI. Developing calculations in DAX which are accurate and performant on large datasets. Designing effective layouts using themes and report grids, working closely with our UX design team. Utilising the navigation features in Power BI (e.g. bookmarks, drill-throughs) to guide readers through a compelling data-driven story. Deployment and other admin related activities such as scheduling data refresh, sending outputs to users via mail, access control etc. Guide the users with the industry standard practices in terms of Power BI dashboard development and maintenance. Should have an understanding of various pricing tiers and differentiators between various Power BI licences. Working with our clients to manage User Acceptance Testing (UAT) processes and fixing any defects identified. Publishing reports via the Power BI service, managing them through distribution of apps and monitoring usage/data refreshes/security access. Knowledge of cloud computing, preferably on Azure. Strong DWH basics. Strong data modelling skills. Familiar with Agile and Waterfall SDLC process Should be at least 2+ years of experience in Enterprise intelligence Experience with relational databases and strong SQL and PL/SQL skills for querying data SQL coding experience on large projects working with newer versions of SQL Server (2014 and newer) Nice to have Power BI Data Analyst Associate Certification Experience in design tools like Figma At EY, we re dedicated to helping our clients, from start ups 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. 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

We are looking for a candidate with 5+ years of experience as a Data Analyst Databases: SQL is mandatory, and rest would be an added advantage MongoDB, PostgreSQL, Redis, Relational databases Programming Language: Python is mandatory rest will be an added advantage JavaScript, Golang Cloud-based Infrastructure: AWS

Data Analyst Experience Level: 4 to 8 years preferred Role Overview We are seeking a detail-oriented Data Analyst with hands-on experience in Product Lifecycle Management (PLM) systems and a solid foundation in mechanical engineering . This role bridges engineering and data analytics, supporting product development, compliance, and operational efficiency through data-driven insights. Key Responsibilities Analyze engineering and product data across PLM platforms (Teamcenter) Develop dashboards and reports to track product lifecycle metrics, BOM accuracy, and change management Collaborate with design, manufacturing, and quality teams to ensure data integrity across systems Support PLM data migration, validation, and governance initiatives Identify trends and anomalies in mechanical product data to improve design and production outcomes Automate data workflows and improve reporting efficiency using tools like Python, SQL, & Power BI Ensure compliance with industry standards and internal data protocols Required Skills & Qualifications Bachelors degree in Mechanical Engineering or related field 4+ years of experience in data analytics, preferably in a manufacturing or engineering environment Strong understanding of PLM systems and product data structures Proficiency in data analysis tools (Excel, SQL, Python, Power BI) Familiarity with CAD systems and engineering documentation Excellent problem-solving and communication skills Preferred Skills Experience with ERP systems (SAP) Knowledge of Six Sigma or Lean methodologies Exposure to regulatory environments (ISO, ASME, etc.) Ability to interpret mechanical drawings and specifications

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Role Overview: You will be a Junior Data Analyst based in Mumbai office and will play a crucial role in the data operations team. Your primary responsibility will be to assist in delivering data and research in your assigned market. The team you will be a part of comprises 4 pillars with global coverage. Key Responsibilities: - Search for, collect, and verify data for companies in your assigned market based on current collection methodologies and acceptable sources - Address internal/client queries and requests to ensure alignment with data methodology and policy guidelines - Maintain compliance with established work process standards to ensure the quality of collected data - Meet pre-determined turn-around goals for work assignments - Escalate data interpretation issues as necessary - Conduct root-cause analysis for identified data issues - Update internal documents for performance metrics monitoring - Participate in working committees/projects aside from core responsibilities - Manage paper and electronic files as per ISS and client file retention policies Qualifications: - Post-Graduation in Finance and Economics - Proficiency in using MS Office - Excellent English communication skills (oral and written) and reading comprehension - Strong analytical and problem-solving skills with meticulous attention to detail - Ability to prioritize tasks and work under tight deadlines - Quick learner with the ability to grasp new concepts easily - Willingness to work beyond traditional working hours/days when required by the business - Experience in data collection and analysis, corporate governance, and business research would be advantageous Additional Details of the Company: ISS STOXX GmbH is a prominent provider of research and technology solutions for the financial market. Established in 1985, the company offers benchmark and custom indices globally, assisting clients in identifying investment opportunities and managing portfolio risks. With over 3,400 professionals in 33 locations worldwide, ISS STOXX serves around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. The company, majority-owned by Deutsche Brse Group, is committed to fostering a culture that values diverse skills, perspectives, and experiences, empowering employees with resources, support, and growth opportunities professionally and personally.,

As a skilled Data Analyst proficient in MySQL, you will play a crucial role in managing and analyzing data to drive data-driven decision-making within the organization. Your responsibilities will include: - Designing, implementing, and maintaining MySQL databases to ensure efficient data storage, retrieval, and analysis. - Crafting complex SQL queries to extract, manipulate, and analyze data from MySQL databases effectively. - Conducting data cleaning, validation, and transformation processes to uphold data accuracy and quality standards. You will also be responsible for: - Developing and maintaining reports, dashboards, and visualizations to effectively communicate data insights and trends. - Leveraging data visualization tools to present findings in a clear and actionable format. In addition, you will collaborate with stakeholders to: - Understand business requirements and translate them into data analysis tasks. - Provide data-driven insights and recommendations to support strategic business decisions and process improvements. Your technical expertise will be crucial in: - Optimizing SQL queries and database performance to enhance efficiency and scalability. - Establishing and enforcing best practices for database management and data analysis processes. Qualifications Required: - Proven experience as a data analyst or in a similar role with a strong focus on MySQL database management and analysis. - Proficiency in writing complex SQL queries and optimizing database performance. - 3-4 years of relevant experience. Please note that this job opportunity was presented by MagilHub.,

HIRING Freshers Openings Be B.Tech Cse.It,Ece,Eee,MCA 2022,23,24,25 passout With Good Communication Immidiate Joiner Only

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

HCLTech is Hiring for the Data Analyst Role ! Interested candidates can attend a walk-in interview at the address below: Date: 13th September 2025 Interview Timing: 11:00 AM - 3:00 PM Walk-In Address: Advance Business Hub, An Ascendas IT Park, Building H-01B, Phase 2, HITEC City, Hyderabad, Telangana 500081 Work Location: Hyderabad Work Schedule: 5 days in the office Shifts: Rotational & Night Shifts Transport Facilities: Provided Roles & Responsibilities: Monitor Key Performance Indicators (KPIs) for scaled operations using reports, performance dashboards, and system-generated anomaly alerts. Analyze real-time/near-real-time performance data against business standards and identify issues/gaps in performance. Perform Root Cause Analysis (RCA) of anomalies detected for any underlying performance issues. Provide conclusions and reports on the details of drivers, leading indicators, and affected metrics. Observe the performance of specific systems and workflow streams, evaluate the information collected, and provide reports on any incidents that occur. Escalate gaps, identified issues, bugs, and outages to respective leads for business continuity responses. Trigger Next Best Actions (NBAs) based on business objectives and policies. Measure and report SLA performance for different teams and functional areas. Skill Set Required: 1-5 years of customer service experience, including answering multiple phone lines and ticket-related communication in a Command Center work environment. Effective computer skills, including data entry and proficiency in MS Office Suite (Word, Excel, and Outlook). Ability to use multiple software applications simultaneously, with demonstrated knowledge of working over the internet and successfully navigating websites. Demonstrates effective, clear, and professional written and oral communication, with attention to detail. Experience in data analytics, visualization, and reporting. Advanced MS Excel skills. Graduation is mandatory.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Location : India - Remote. Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc. - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.

Duration : 6+ Months (Contract). We are seeking an experienced Data Analyst for a long-term remote opportunity. The ideal candidate should have a proven background either in top-tier consultancy firms (such as Wipro, Accenture, etc.) or Oil & Gas industry projects. The role involves working with complex datasets to extract meaningful insights and support business decision-making. Key Responsibilities : - Collect, clean, and analyze large volumes of data from multiple sources. - Identify trends, patterns, and correlations in large datasets. - Design and build reports and dashboards using tools such as Power BI, Tableau, or similar. - Work closely with cross-functional teams including stakeholders, business users, and IT teams. - Translate business requirements into data models and actionable insights. - Prepare visualizations and presentations for management and client reporting. - Ensure data quality, integrity, and governance compliance. Required Skills & Qualifications : - 5+ years of professional experience as a Data Analyst. - Hands-on expertise with data visualization tools (e.g., Power BI, Tableau). - Strong SQL skills and experience with relational databases (e.g., SQL Server, Oracle). - Proficiency in Excel (including advanced formulas, pivot tables, etc.) - Solid understanding of statistical methods and data analysis techniques. - Experience working with consultancy firms (like Wipro, Accenture, TCS, Infosys, etc.) OR experience in Oil & Gas sector projects is mandatory. - Strong analytical thinking and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications : - Experience with Python or R for data analysis. - Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, BigQuery). - Knowledge of ETL tools and processes.