319 Data Analyst Jobs - Page 7

We are organizing a direct walk-in drive at Bengaluru location. Please find below details and skills for which we have a walk-in at TCS - Bengaluru on 14th June 2025 Experience: 4 - 8 years Skill Name :- (1) SharePoint Developer (2) SPFX (3) PowerPlatform (4) AWS Data Engineer (5) AWS Devops (6) Azure Dot Net Fullstack Developer (7) Azure Data Engineer (8) Azure devops (9) Data Analyst (10) Node JS (11) Informatica Developer (12) Java Springboot / Microservice

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.

Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

QNXT/Schema knowledge Healthcare/business knowledge in member, eligibility, TPL, claims processing, provider, pharmacy claims Good/Excellent SQL skills Good Oral/Written communication skills Data Mapping experience Conversion/Interface/Reporting Experience Data Collection & Management Gather, clean, and validate data from various internal and external sources. Ensure data integrity and consistency across different datasets. Develop and maintain data pipelines and databases to manage incoming data efficiently. Data Analysis & Interpretation Analyze data sets using statistical techniques and tools (Excel, SQL, Python, R, etc.). Identify trends, patterns, and insights from large datasets. Interpret data to provide actionable recommendations and business solutions. Reporting & Visualization Prepare detailed reports with key metrics, analysis, and trends. Create data visualizations (using tools like Tableau, Power BI, or others) to simplify complex data and provide stakeholders with clear insights. Develop dashboards and regular performance reports for management. Collaboration & Communication Collaborate with cross-functional teams (marketing, finance, operations) to understand their data needs. Present findings to stakeholders in a clear, concise manner, translating technical data into business-friendly insights. Support decision-making by providing data-driven reports and analysis. Process Improvement Suggest improvements to existing data collection, processing, and reporting practices. Participate in the design and optimization of automated reporting systems. Work on optimizing data models and processes for better efficiency and insights.

About the Role: Okta s Strategic Sourcing & Procurement (SS&P) team is evolving to deliver greater efficiency, data-driven decision-making, and strategic value. We are seeking a Sourcing Excellence Data Analyst to support sourcing operations through strong data analytics, process optimization, and policy enablement. This role will play a key part in helping the SS&P function scale with Okta s continued growth by enhancing consistency, visibility, and performance across procurement. The ideal candidate is a self-starter who thrives in a fast-paced environment, proactively identifies problems, and brings forward practical, data-driven solutions.Please noteYou will be required to work US hours. Key Responsibilities: Analyze procurement & sourcing data to generate actionable insights that inform category strategies, supplier performance, and sourcing opportunities. Gathering data from primary or secondary sources (e.g., databases, surveys etc.) and cleaning and organizing raw data to ensure accuracy and consistency. Write SQL queries to extract data from relational databases. Build both ad hoc and repeatable reports and visualizations for executives and users using Excel and tools like Power BI, Tableau and other application reporting tools. Ensure reports and dashboards enable data interpretation in a business context. Ensure accuracy and quality of the data sets and reports Build and maintain dashboards and reporting tools to track savings, cycle times, compliance, and project pipeline health. Work with multiple internal and external team members to understand their data needs, translating business requirements into data analysis tasks Maintain and support sourcing systems such as Workday, ensuring data accuracy, user access, and workflow consistency. Regularly update datasets in Snowflake and proactively identify data discrepancies or errors. Troubleshoot data integrity issues and propose solutions to improve dataset accuracy and reliability. Support savings methodology tracking, project intake data cleansing, and alignment to financial planning and budgeting cycles. Support improvements in sourcing processes and policies to increase operational efficiency and scalability. Partner with category managers and sourcing managers to enhance visibility into performance metrics and process bottlenecks. Develop and maintain tools, templates, and standard operating procedures to standardize sourcing execution and improve team effectiveness. Assist with contract and supplier data management, including maintaining a centralized contract repository and ensuring supplier master data integrity. Collaborate with Finance, Legal, IT, and Business Units to ensure procurement processes and governance structures align with enterprise objectives and compliance requirements. Contribute to continuous improvement efforts by identifying gaps or inefficiencies and proposing scalable, pragmatic enhancements. Take ownership of initiatives and drive them forward independently while collaborating across functions. Qualifications: Bachelor s degree in Business, Supply Chain, Finance, Analytics, or a related field. You must have at least 2 years of experience in procurement, supply chain, data analytics, or operations. Understanding of P2P datasets, sourcing processes, procurement KPIs, and supplier management. Strong analytical and data management skills; proficient in Excel, SQL, Power BI, Tableau, or similar tools. Experience with procurement or sourcing tools (e.g., Workday, Coupa, or similar). Demonstrated ability to work independently, take initiative, and solve problems creatively. Strong communication and presentation skills; able to convey complex data clearly to non-technical audiences. Detail-oriented with strong organizational skills and the ability to manage multiple priorities.

Accountabilities: Overall responsibility for handling continuity of overall AMI deployment and O&M in line to contract requirement. Major Activities : To lead team of Data Analyst, Planning & Quality, Site Engineers, set their KRAs, delegate and monitor responsibilities for design and delivery of AMI system in line to contract requirement. Approval of AMI Standard Operating Procedures (SOPs) from DISCOM, rollout with all project partners for compliance. Ensure full compliance to AMI SOPs and exhibit zero tolerance to malpractices in line with Apraava Code of Conduct directly and with project partners. To lead regular reviews with AMI Implementation Partner and Meter Manufacturer and align project priorities as planned. To determine Business process requirements for AMI system, regularly evaluate the efficiency of business processes according to organizational & program objectives and apply improvements. Maintain customer centric approach, attend DISCOM project review meeting and handle escalations. To monitor project issues in real time & ensure resolution. To ensure Operational Go Live of AMI project on time, on budget. Daily MIS reporting to stakeholders. To Identify & target areas in which a business can improve operation by recommending solutions. To ensure strategic capacity planning, conduct interviews, hiring and ensure training to new technical supports staff. Educational Qualifications: Engineering Graduate Functional Skills: Exposure to Energy Distribution Utilities (AMI / AMR Projects would be added advantage). Relevant and total years of Experience: 8 - 10 years.

We are seeking a skilled and dedicated Business Intelligence/ BI Data Analyst with expertise in Sisense data analysis tool to join our dynamic team The ideal candidate will have a strong background in analyzing large datasets, delivering meaningful insights, and presenting the insights to stakeholders WHAT WILL YOU DO: Understand the requirements and objectives of the assigned dashboard creation requests Extract, clean, and manipulate data from various sources, and the Satlmine platform to generate actionable insights Maintaining standard reports and visualizations Ensure data accuracy, integrity, and security across platforms Stay updated on industry trends and best practices in data analytics, Sisense Working closely with other team professionals such as the BI-Tech, PM, Ops-PM, Design, and Planning team, to understand the data definitions to provide a complete solution on insights Q

Data Transformation: Convert raw data into meaningful information that can guide business strategies Life Cycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation Develop reports and refine analysis and reporting tools to provide clear insights into business performance Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis Synthesize complex data sets to extract key trends and insights that drive decision-making processes Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures Constantly monitor, refine and report on the performance of data management systems Maintain a corporate repository of all data analysis artifacts and procedures Perform other functions as may be assigned Power Bi, Data Analyst q

Job Description: Data Analyst Location: Noida, Uttar Pradesh, IND Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it s in our differences that we empower the way the world learns. About the Role: The Enterprise Data & Analytics team provides colleagues with actionable analyses, utilizing multiple data sources to provide insight into product performance and business opportunities while helping to inform product and business development. As a Data Analyst in the Enterprise Data & Analytics team, you will be responsible for providing data, reporting tools, analyses, and actionable insights to support the strategic work of the Research & Learning publishing teams. You will ensure that the data that Research needs to monitor their business and make strategic decisions is available and accessible. You will produce high-quality reporting products, data visualizations, and analytics that expose publishing and product performance data in the most appropriate format to end users throughout Research Publishing. You will partner with data product owners, provide subject matter expertise, and apply industry best practices to the creation, development, and deployment of reporting and visualization tools to achieve this. The role will require ongoing collaboration with a wide range of colleagues globally and at various levels of the business. You will need a background in data manipulation, storage, and retrieval, as well as experience in data visualization and effective report compilation. How will you make an impact: Build, maintain, and develop high-quality BI reports, primarily using Power BI. Provide data, insights, and reporting tools to meet the current and future requirements of key stakeholder groups in support of their business objectives. Collaborate closely with stakeholder to ensure that current reporting needs are met and that future requirements are understood and planned for. Apply a product management approach to the ideation, development, enhancement, feature release, and consolidation/sunset of reporting and data visualization tools. Identify sources, gather and prepare data, and extract relevant data sets, from a variety of sources. Slice and rework existing datasets to provide a new lens on the data via simple data processing and visualization. Meet the varied needs of your stakeholders, prioritizing user features and applying best practices on deployment and enablement. Build subject matter expertise on new publishing workflows and accurate data sources. Ensure all processes, products, data, scripts, and schedules are fully documented in appropriate tools such as Confluence and GitHub. Provide documentation and training materials to colleagues, giving them the ability to conduct their own analyses and interpret data safely. Contribute to clarifying and summarizing the data needs of the Research Publishing stakeholders and ensure data availability. Work with the data owners to support knowledge discovery on new data and pipeline enhancements, troubleshoot, and provide UAT and QA on data sources. What we look for: Strong analytical mindset, data literate, and inquisitive. Experience in data manipulation, database management, SQL, and data visualization skills. Customer-focused approach - an ability to think about reporting from a real-life, author or editors point of view, outside of the structure of a database or business reporting line, for correct interpretation. Stakeholder communication and expectation management skills. Product management experience, particularly in reporting technology or data visualization, is a bonus. About Wiley: Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the worlds most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform todays biggest obstacles into tomorrows brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individuals status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers and learning champions all while striving to support the health and well-being of all employees, for example we offer meeting-free Friday afternoons allowing more time for heads down work and professional development. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wileys good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the UK, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for UK, Canada and USA based roles. When applying, please attach your resume/CV to be considered. #LI

Role: Data Analyst Location: Kharadi, Pune Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living. We are seeking a highly skilled and diligent Data Analyst to support enterprise-level initiatives in collaboration with the IT Systems Manager. This role requires a proven foundation in data mining, analysis, and reporting, and the ability to work multi-functionally with business and technology teams. The ideal candidate will ensure data integrity across systems, dashboards, and reports, redefining sophisticated datasets into clear and actionable insights tailored to various customers. What will you be doing? Manage daily and weekly functional tasks, track outputs, detail internal processes, support issue resolution, mentor on corrective actions, and provide ad hoc analysis, scenario modeling, trend identification, and data-driven recommendations to customers. Support ongoing and new automation projects, provide technical system solutions for sophisticated challenges, and collaborate with multi-functional teams to ensure alignment and successful project execution. Implement data mining and manipulation tasks using SQL and Python, build ad-hoc reports, design dashboards and key performance metrics, and share actionable insights using Excel. Ensure the accuracy, consistency, and integrity of data across systems, reports, and dashboards; support data provisioning from non-standard sources; and perform thorough testing and validation of data processes. Collaborate with IT teams on resolving support tickets and implementing system improvements across platforms such as SAP, Salesforce CoE, Azure IAM, and Azure Infrastructure. What will you need to be successful? Education: Bachelors/masters degree or equivalent experience in Computer Science / Software engineering/IT or equivalent experience. Licenses/Certifications: SQL, Reporting Tool Preferred. Experience: Should have an overall of 5-8 years of experience in the field of Data Analytics . A minimum of 2-3 years of extensive Power BI standard & custom visual development, design, wireframing, and storyboarding/storytelling experience. Strong SQL knowledge required. Experience with SLDC or Agile Methodology using Azure DevOps or JIRA. Experience with equivalent ETL and data science applications is good to have. Expert designer of information visualizations and dashboards. Solid grasp of data analysis, modeling, report generation, and warehousing/data stores concepts. Expert in selecting the right dashboard design and deployment method for business requirements. Must have a high level of digital literacy with desktop and cloud-based efficiency software such as Office 365, Microsoft Office desktop applications, Microsoft Teams etc. Experience in working with XSLT and XML. Attention to Detail: Solid focus on data accuracy, completeness, and relevance. Analytical Thinking: Ability to detect patterns, generate creative solutions, and interpret sophisticated data sets for actionable outcomes. Excellent written and verbal communication skills with the ability to convey sophisticated ideas clearly. Capable of working independently with minimal supervision, demonstrating initiative and accountability. You Unlimited. We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve. Inclusion, Diversity and Equity: Committed to Welcoming, Celebrating and Thriving on Diversity, Learn more about Employee Inclusion Groups on our website ( https://www.smith-nephew.com/ ). Other reasons why you will love it here! Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance. Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave. Your Wellbeing: Parents/Parents-in-Law s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave. Flexibility : Hybrid Work Model (For most professional roles) Training: Hands-On, Team-Customized, Mentorship Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances. #LI-DP1 Stay connected and receive alerts for jobs like this by joining our talent community . Were more than just a company - were a community! Follow us on LinkedIn to see how we support and empower our employees and patients every day. Check our Glassdoor page for a glimpse behind the scenes and a sneak peek into You . Unlimited . , life, culture, and benefits at S+N. Explore our new website and learn more about our mission, our team, and the opportunities we offer.

Collect, process, and analyze large datasets to identify trends, patterns, and insights. Develop and maintain dashboards and reports to track key performance indicators (KPIs). Use statistical methods to analyze data and generate useful business reports. Collaborate with internal teams to understand data needs and provide data-driven solutions. Write and optimize SQL queries to extract data from databases. Utilize Python for data manipulation, analysis, and visualization. Present findings and recommendations to stakeholders in a clear and concise manner. Ensure data accuracy and integrity in all analytical outputs. Stay up-to-date with industry trends and best practices in data analysis and visualization Requirements: Bachelor s degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 2 years of experience in a data analyst role with a focus on Python. Proficiency in Python for data analysis and visualization (e.g., pandas, numpy, matplotlib, seaborn). Experience with SQL and relational databases. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Excellent communication and presentation skills. Ability to work independently and collaboratively within a team. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Knowledge of machine learning and statistical modeling techniques is a plus.

SUMMARY The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties and skills required personnel so classified. WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of this job. TERMS OF EMPLOYMENT Salary and benefits shall be paid consistent with Arete salary and benefit policy. DECLARATION The Arete Incident Response Human Resources Department retains the sole right and discretion to make changes to this job description. EQUAL EMPLOYMENT OPPORTUNITY We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better. Arete Incident Response is an outstanding (and growing) company with a very dedicated, fun team. We offer competitive salaries, fully paid benefits including Medical/Dental, Life/Disability Insurance, 401(k) and the opportunity to work with some of the latest and greatest in the fast-growing cyber security industry. When you join Arete You ll be doing work that matters alongside other talented people, transforming the way people, businesses, and things connect with each other. Of course, we will offer you great pay and benefits, but we re about more than that. Arete is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Arete, where experience matters. Equal Employment Opportunity We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

The Junior Data Analyst role supports the Structured Data Services Team Lead on active projects. This role involves understanding basic client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting data over excel. The Junior Data Analyst also identifies patterns during reviews and updates the Senior Analyst or Team Lead. Meeting deadlines while maintaining accuracy and quality standards is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts relevant content based on project specifications, primarily using Excel and other file types Collaborates closely with the Team Lead to receive the latest updates and instructions on projects Performs data cleansing or formatting on the data extracted, using formulae or manual or program tools Identifies the correlation and issues using the data mining techniques Provides the data into comprehensible structures of organize and transform information Identifies the timing and indicators of data access based on the analysis Ensures integrity and quality in all project analyses Manages multiple projects daily Meets project targets consistently Performs additional duties as assigned by manager SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc) Knowledge with a common scripting or programming language, including Power Query and Python will be added advantage Basic verbal and written communication skills Understanding of attention to detail and time management skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred JOB REQUIREMENTS Bachelors degree in Computer Science, Mathematics, Information Management, or Statistics with at least 0 to 2 years of Data Analyst experience Ability to work greater than 40 hours per week as needed

This person will be responsible for producing reports and dashboards which will enable the leadership to take informed decisions by analysing the data. Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Required Candidate profile Connecting data sources, importing data, and transforming data for Business intelligence. Analytical thinking for translating data into informative reports and visuals.

Experience as a Data Analyst with GCP & Hadoop is mandatory. Work From Office

Department / Role Overview: Amherst Residential Within the broader Amherst organization, the Merchant Banking business unit serves as the cornerstone of investment management activities. This division oversees critical financial operations including raising new debt and equity capital, forming new ventures, executing strategic acquisition and disposition of homes, and managing Amherst's extensive portfolio investments. As part of Amherst's fully integrated approach, the Merchant Banking business unit works in close coordination with other key divisions, including Development and Operations. This role is positioned within the Investment Strategy team, a critical component of the Merchant Banking division. In this position, you will directly contribute to the sophisticated data-driven processes that inform and power Amherst's investment decisions. The Investment Strategy (Research) team functions as the analytical engine behind Amherst's market success. This specialized group combines advanced modeling techniques, comprehensive market surveillance, and data-driven methodologies to develop insights that guide investment strategy across the entire portfolio. By applying rigorous quantitative analysis alongside deep industry expertise, the team effectively monitors both internal operational metrics and broader market movements to identify emerging opportunities, anticipate shifts, and generate actionable intelligence. As an integral part of Amherst's vertically integrated platform, the Investment Strategy team seamlessly translates analytical findings into strategic capital deployment recommendations. This collaborative approach allows the team to work effectively with other business units while maintaining Amherst's competitive advantage in making informed, data-backed investment decisions in the dynamic real estate marketplace. Primary Responsibilities: Model Maintenance: Maintain and regularly update existing investment models, ensuring data accuracy and timely refreshes. Data Support: Gather, validate, and organize data from multiple sources to support ongoing investment analysis. Reporting Assistance: Assist in preparing recurring investment reports and presentations for internal stakeholders. Performance Tracking: Monitor and update key portfolio metrics, comparing performance against established benchmarks and targets. Analysis Support: Conduct basic market research and data analysis to support the Investment Strategy teams decision-making process. Visualization Development: Create and update charts, graphs, and dashboards to communicate investment insights effectively. Documentation: Maintain comprehensive documentation of data sources, analytical methodologies, and model assumptions. Desired Skills & Qualifications: Bachelor's degree in Finance, Economics, Data Science, Statistics, or a related quantitative field. 2-6 years of experience in an analytical, research, or financial role; exposure to real estate investment analysis is a plus but not required. Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis; experience with macros and VBA is a plus. Familiarity with data analysis tools such as Python, R, or SQL, with the ability to independently run analyses and modify existing code. Experience with data visualization tools like Tableau or Power BI is a plus. Proficiency in Microsoft PowerPoint, with the ability to develop clear, data-driven presentations. Exceptional attention to detail and organizational skills. Strong communication skills and the ability to work collaboratively in a team environment. A proactive mindset with a strong desire to learn and grow analytical skills within an investment context. Working Shift/ arrangement : US Shift (1:30 PM - 10:30 PM - IST), Flexible - Hybrid working model.

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

Tata Capital Ltd is looking for Data executive - Retail MFB - Internal Control & Quality to join our dynamic team and embark on a rewarding career journey Technical Support: Provide technical support and assistance to end users via various channels, including in-person, remote support tools, and helpdesk ticketing systems Respond to user inquiries, troubleshoot hardware and software issues, and resolve technical problems in a timely manner Hardware and Software Setup: Install, configure, and maintain end-user hardware, including desktop computers, laptops, peripherals (printers, scanners), and mobile devices Install and configure software applications, operating systems, and updates as needed User Account Management: Create, manage, and maintain user accounts, permissions, and access rights for various systems and applications Assist with password resets, account provisioning, and access requests System Monitoring and Maintenance: Monitor system performance, availability, and security Perform routine maintenance tasks, such as software updates, system backups, and antivirus scans, to ensure system stability and data protection

Immediate Openings for Data Analyst - Mumbai - Contract to hire Experience: 6+ Years Skill: ETL PYTHON Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Looking for 6+ years of Experiece candidate working on Data and Analytics. Advance working knowledge and exp with relationship database management system in designing schema, SQL Authoring and performance oprimization. Hands-on Experience on Snowflake is highly desirable Can write complex queries, views and Stored Procedures. Should must have hands-on experince on Python (NumPuy, Pandas etc.) Should must have working knowledge of ETL using any ETL tool such as Infotmatica. Technical expertise and problem solving skills. Excellent communication skill and presentation skill

Greetings from Probus Insurance Broker Pvt Ltd !!!!! "Join our dynamic team as a Data Analyst and play a key role in transforming raw data into actionable intelligence that powers strategic growth." Role & Responsibilities -: 1. MS SQL / T-SQL - Joins, CTEs, Store Procedures, Window Functions, Subqueries & Derived Tables, Data Cleaning & Transformation, Incremental Load Logic. 2. Intermediate Data Visualization & Reporting - Power BI (Hands-on knowledge on working on data modeling, DAX, Power Query, Data flow, Custom visuals & drilldowns, Row-level security) 3. Python - Pandas, NumPy, PySpark, EDA & light scripting/logic building, 4. Excel and PowerPoint- Advance 5. Knowledge in drafting technical requirements and BRDs 5. Must Have knowledge in ETL, Data Pipelines, Data Lake, Data Warehousing, Cloud Technologies(preferable AWS) 6. AWS Basic Knowledge - S3, Glue, Redshift, Amazon Quick Sight Interested candidates can share resume on disha.doshi@probusinsurance.com APPLY NOW !!! FRESHERS CAN ALSO APPLY !!!

Company: Marsh Description: Mercer is hiring for below position for Gurgaon location: Analyst - Survey Administration What can you expect: This role is for the Data Analyst in the compensation consulting team What is in it for you: The position offers good career advancement opportunities, supported by training and professional development as well as access to the firm s 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. Mercer s 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 (NYSE: MMC), the world s 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 MOVE? Marsh, 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

Job Description: Essential Job Functions: Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure. Collaborate with team members to support data collection and integration. Contribute to data quality and security efforts. Analyze data using data engineering tools and techniques. Collaborate with data engineers and analysts on data-related projects. Pursue opportunities to enhance data engineering skills and knowledge. Stay updated on data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications (a plus): Advanced degree in a relevant field a plus Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Translate Business Problems: Translate a business problem into a computer and statistical problem Data Management: Identify, evaluate, recover, and prepare the data Evaluate and guarantee the quality and relevance of the models used End-to-End Analysis: Conduct end-to-end analysis, communicating findings and developing recommendations for actions, optimization, and value creation Implement Computer Tools: Implement computer tools, techniques, and statistical methods to efficiently organize, synthesize, and translate data Extract customer knowledge or domains for business value creation Report Formatting: Develop clear, concise, and impactful reports to communicate results to stakeholders Industrialization of Deliverables: Propose and industrialize the development of recurrent deliverables, ensuring efficiency and repeatability in analyses Interdisciplinary Collaboration: Collaborate with various s to understand their data needs and propose tailored solutions Development of KPIs: Design and monitor key performance indicators to assess the effectiveness of strategic initiatives Continuous Improvement: Identify and propose improvements to data collection and analysis processes to optimize overall performance Integration of Value: Integrate the value generated into our processes and the evolution of the information systems domain Optimize Data Use: Optimize the use of data in compliance with the legal and regulatory context Data Evolution: Manage evolutions on data deposits and data enrichment for new levers of value creation Coordination of Exchanges: Facilitate discussions between operational managers and tool managers to ensure smooth implementation of tools Management of Tooling Projects: Oversee the generalization and industrialization of tooling projects, ensuring alignment with operational needs Required Skills: Data Analysis Expertise: Proficiency in analysis tools (Excel, SQL, Python, R) Visualization Skills: Experience with visualization tools (Tableau, Power BI, Elastic ELK) Critical Analysis: Ability to interpret complex data and formulate relevant conclusions Effective Communication: Excellent written and oral communication skills, capable of conveying technical information to diverse audiences Proactive Problem Solving: Ability to identify issues and develop data-driven solutions Understanding of ITIL Processes: Strong knowledge of ITIL processes and the ability to apply them effectively Interpersonal Skills: Excellent ability to interact with users and stakeholders Project Management: Proven experience in managing projects related to operational tooling User-Oriented Approach: Ability to listen and incorporate user feedback to improve tools Qualifications: Degree in statistics, computer science, or a related field 2 to 5 years of experience as a Data Analyst or in a similar role Experience in the telecommunications and IT sector is a plus Global Delivery Operations

Key Responsibilities: Data Analysis & Visualization: Gather, clean, and analyze data; develop Power BI dashboards to visualize key project metrics. Collaboration & Communication: Work with PMO staff and stakeholders to gather requirements, translate them into technical specifications, and communicate insights effectively. Database Access & Data Quality: Ensure data integrity, security, and accuracy in Power BI systems; troubleshoot data issues. PMO Support: Support project managers with data-driven insights to enhance project performance and risk management. Skills & Qualifications: Proficiency in Power BI (DAX, Power Query, data modeling). Experience with SQL and other database languages. Strong data analysis, problem-solving, and communication skills. Previous experience in PMO or project management is a plus.

Business, Data Analytics (AM/DM/Mgr) - Logistics MNC, 4-10yrs exp of 3PL/Logistics Industry a MUST, Strong in BA/Data analytics of warehousing, logistics, contract logistics service industry. 3pl / logistics working only may apply 5 days working