6290 Data Analytics Jobs - Page 32

WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ We are seeking a highly skilled and innovative Physical Design Specialist to join our team. The successful candidate will be responsible for troubleshooting critical issues, providing independent analysis, and generating data points to identify potential failures in the physical design of our semiconductor products. This role requires a deep understanding of CPU Cores physical design, EDA tools, and the ability to offer unbiased opinions and solutions to complex design challenges. The Physical Design Specialist will play a crucial role in bridging the gap between PD methodology and PD execution teams, ensuring execution excellence. Key Responsibilities: Critical Issue Resolution: Identify and resolve complex physical design problems during dry runs and execution. Provide independent analysis and solutions to critical issues impacting design integrity and performance, including challenges specific to CPU core physical design such as timing closure, optimization, and signal integrity Securing Execution Excellence: Ensure high standards of execution excellence by providing strategic guidance and support to the PD execution team. Monitor and evaluate the effectiveness of physical design processes and methodologies, ensuring optimal performance and power efficiency for CPU cores Bridging Methodology and Execution: Act as a liaison between the PD methodology team and PD execution team to ensure seamless integration of methodologies into practical execution. Facilitate communication and collaboration between teams to address challenges and optimize design processes for CPU core designs Data Analytics Generate and analyze data points to identify potential design failures and areas for improvement. Use advanced tools and techniques to predict and mitigate risks, focusing on CPU core-specific issues like floorplanning, placement, and routing Independent Review and Opinions: Conduct thorough and independent reviews of design methodologies and flows. Offer unbiased opinions and recommendations based on extensive experience and expertise in CPU core physical design strategies Mentorship and Guidance: Mentor and guide design teams on best practices and innovative solutions and share insights and knowledge to enhance team capabilities. Communication: Communicate findings and recommendations effectively to stakeholders and higher management, emphasizing CPU core design considerations Qualifications Education: Ph.D. or Master's degree in Electrical Engineering, Computer Engineering, or a related field. Experience: Minimum of 20 years of experience in physical design, EDA tools, or related areas. Proven track record of driving PD methodology innovations and strategies in a leading semiconductor company. Technical Expertise: Deep understanding of physical design, EDA tools, and design optimization techniques. Proficiency in relevant tools and technologies. Publications and Patents: Demonstrated history of publications in reputable journals and conferences. Experience with filing and securing patents related to physical design and EDA tools. Leadership Skills: Strong leadership and team management skills. Ability to lead cross-functional teams and drive complex projects to successful completion. Communication: Excellent verbal and written communication skills. Ability to articulate complex technical concepts to diverse audiences. Industry Knowledge: In-depth knowledge of industry trends, standards, and best practices in physical design for semiconductors. Why Join Us Innovative Environment: Be part of a team that is at the forefront of physical design methodology innovations. Impactful Work: Contribute to the development of cutting-edge technologies that shape the future of semiconductor design. Collaborative Culture: Work with a diverse and talented team of professionals who are passionate about technology and innovation. Career Growth: Opportunities for professional development and career advancement in a dynamic and growing company. Notice Period 2 Month or less

Key Responsibilities : Design and develop data models to support business intelligence and analytics solutions. Work with Erwin or Erwin Studio to create, manage, and optimize conceptual, logical, and physical data models. Implement Dimensional Modelling techniques for data warehousing and reporting. Collaborate with business analysts, data engineers, and stakeholders to gather and understand data requirements. Ensure data integrity, consistency, and compliance with Banking domain standards. Work with Snowflake to develop and optimize cloud-based data models. Write and execute complex SQL queries for data analysis and validation. Identify and resolve data quality issues and inconsistencies. Required Skills & Qualifications : 7+ years of experience in Data Modelling and Data Analysis. Strong expertise in Erwin or Erwin Studio for data modeling. Experience with Dimensional Modelling and Data Warehousing (DWH) concepts. Proficiency in Snowflake and SQL for data management and querying. Previous experience in the Banking domain is mandatory. Strong analytical and problem-solving skills. Ability to work independently in a remote environment. Excellent verbal and written communication skills.

Responsibilities Transform raw data into meaningful insights to help organizations make informed decisions. Translate between complex data and actionable business strategies. Collect data from various sources (e.g., databases, PDF's ,dataware house) Cleans and prepares the data to ensure accuracy and consistency Analyzes trends and patterns using statistical tools and programming Visualizes findings through charts, dashboards, or reports Communicates insights to stakeholders to support decision-making Build and maintain scalable data pipelines and ETL workflows using Databricks Integrate AI capabilities into business applications using APIs or custom/ OOTB solutions Collaborate with cross-functional teams to translate business needs into data-driven solutions Ensure data quality, governance, and compliance across platforms Qualifications 8+ years of experience in data analytics, business intelligence, or data science Proficiency in SQL, Excel, Python or R, Power BI Strong understanding of data modeling, ETL processes, and cloud platforms (e.g., Azure, AWS, GCP) Experience with predictive analytics, statistical modeling,Statistics, critical thinking, problem-solving Strong experience with Databricks,Copilot Excellent communication and stakeholder management skills Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or related field Create dashboards and visualizations using Power BI, Tableau, or similar tools Experience with LLMs or generative AI Good to have Experience in a leadership or cross-functional analytics role Familiarity with AI/ML frameworks and big data tools Specialized knowledge in engine-focused R&D, engineering, and manufacturing domains. Certifications in Databricks, cloud platforms, or data engineering. Passion for innovation and continuous learning

We are looking for a skilled Senior Power BI Analyst to join our team at Apps Associates (I) Pvt. Ltd, with 7-10 years of experience in the IT Services & Consulting industry. Roles and Responsibility Design and develop interactive dashboards using Power BI to provide data-driven insights. Collaborate with stakeholders to understand business requirements and develop reports. Develop and maintain databases, data models, and ETL processes to support reporting needs. Troubleshoot issues with existing reports and resolve them efficiently. Work with cross-functional teams to identify areas for process improvement and implement changes. Stay updated with the latest features and best practices in Power BI and data visualization. Job Requirements Strong understanding of data modeling, database design, and ETL processes. Proficiency in developing complex queries and writing efficient code. Excellent communication and collaboration skills, with the ability to work with stakeholders at all levels. Strong problem-solving skills, with the ability to analyze complex issues and develop creative solutions. Ability to work in a fast-paced environment, delivering high-quality results under tight deadlines. Experience working with large datasets, developing scalable solutions, and optimizing performance.

Realize your potential by joining the leading performance-driven advertising company! As a Fraud Analyst on the Anti-Fraud Team in our Gurgaon Office , youll play a vital role in safeguarding our advertising ecosystem by detecting, analyzing, and preventing fraudulent activities. You’ll help ensure trust, transparency, and integrity across Taboola’s global platform. If you’re passionate about fighting online fraud and love digging into data to find the hidden stories, this role is for you. To thrive in this role, you'll need: Bachelor's degree in Industrial Engineering, Computer Science, Data Science, Business, or a related field. 1+ years of experience in fraud detection, online risk analysis, or related domains. Strong analytical and problem-solving skills with a keen eye for data anomalies. Proficiency in data analysis tools and methodologies. Ability to work independently and collaborate across diverse teams. Bonus points if you have: A basic understanding of the adtech or digital advertising ecosystem. Experience with fraud detection platforms or related technologies. How you’ll make an impact: As a Fraud Analyst , you’ll bring value by: Monitoring traffic data to identify suspicious patterns and potential fraud. Utilizing fraud detection tools to flag fraudulent traffic, clicks, and behavior. Conducting in-depth investigations to uncover sources and methods of fraud. Analyzing data to improve fraud prevention strategies and algorithms. Collaborating with engineering and product teams to implement solutions. Preparing clear reports to communicate findings, trends, and recommended actions. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart and talented colleagues. They’ll also share more about: Well-being: Enjoy comprehensive benefits, including health coverage, fully stocked kitchen. Flexibility: We offer a hybrid work schedule – 3 days in the office with the option to come in more if you’d like. Work with the best: Partner with global brands like Yahoo, NBCU, Conde Nast, and Wells Fargo. Unmatched culture: As our CEO Adam Singolda says: “You can copy anything from another business but you can’t copy a company’s culture.” Ready to realize your potential? Taboola is an equal opportunity employer and values diversity in all its forms. We are committed to creating an inclusive environment for all employees and believe this is critical for success. Employment decisions are based on qualifications, merit, and business needs. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X (Twitter), YouTube, and the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social to deliver measurable outcomes at scale. Our ad platform, Realize , reaches approximately 600M daily active users across some of the world’s top publishers including NBC News, Yahoo, and Samsung. #LI-ST1 #LI-Hybrid

We are looking for a Solution Analyst to join our Content Team in Noida. This is an amazing opportunity to work on Product. The team consists of 4 and is reporting to the Senior Manager Michael Duell. We have great skill set in data analytics, xml, and intellectual property and we would love to speak with you if you have skills in XML, Intellectual property, data analytics, and requirement writing. About You experience, education, skills, and accomplishments Preferred skills: Basic knowledge in Python, XML, Intellectual property Patents, and SQL. Familiar with JIRA 1 - 3 years of relevant professional experience in either Intellectual property or solution analysis. Bachelors degree required; Masters degree preferred, preferably in a quantitative or technical field It would be great if you also had Good analytical, verbal and written interpersonal and communication skills as the solutions Analysis is responsible for analyzing identified business needs and problems to elaborate requirements for innovative and effective solutions for internal and external customers. What will you be doing in this role? Assist stakeholders in the feature prioritization and development of scope for a quarter or release. Assess and evaluate existing solutions to determine their compatibility with new or evolving business needs. Collaborate with delivery teams to ensure the proposed solutions are technically feasible and sustainable. Analyse and interpret data to provide insights that inform decision-making. Create and maintain detailed Agile-oriented artifacts for proposed solutions, including functional and non-functional specifications, system flows, and data models throughout the development lifecycle Collaborate with cross-functional teams, including product owners, developers, QA, UX, architecture and delivery managers, to communicate and clarify requirements. Communicate technical concepts to non-technical stakeholders in a clear and understandable manner. Define acceptance criteria and work with QA teams to ensure that solutions meet the specified requirements and are free of defects. Participate in testing processes to validate the functionality and performance of solutions. Participate in defect troubleshooting and resolution. Product you will be developing We acquire Patent data from patent offices across the globe and convert the data into a common format and supply to the external and internal customers. The solution analyst will perform primary analysis on the data, identify the patterns, and provide instructions to the data engineers to create rules for converting specific data format into the Clarivate specific common format. Also, the solution analyst will involve in signing off the common format and workflow development for the sub-systems involved in delivering data to the customers. About the Team Content team includes dynamic group of professionals dedicated to advancing the field of intellectual property and they are experts in XML technology, which is crucial for managing and processing vast amounts of patent data. Primary, we support Derwent Innovation a patent research platform of Clarivate. Also, we serve multiple patent offices and tech giants across the globe, wherein we supply consolidated patent data. We are collaborating with data acquisition team, data engineering team, and distribution team. The major data format that we are handling is XML. We do have JSON data.

Engaged clients via AI/Data demos & pitches Managed full sales cycle from lead to closure Tracked market trends for better messaging Supported pre-sales with proposals & PoCs Generated leads via outreach Aligned with founder & teams

Role & responsibilities Reporting & Dashboarding Design, automate, and maintain dashboards to track daily shift-wise volumes, operator-level efficiency, and task-type productivity. Create and maintain weekly and monthly business review (WBR/MBR) decks with key performance indicators, trends, and insights. Build real-time trackers for operations visibility (e.g., work in progress, pending tasks, SLA adherence, etc). Performance Analysis Provide detailed performance breakdowns against the key performance parameters (average handling time (AHT), resolution time, accuracy scores, utilization, etc) Identify bottlenecks, outliers, and improvement areas using historical and live data. Forecasting & Capacity Planning Analyze historical data and maintain forecasting for upcoming volumes and required headcount for new and ongoing projects. Support sales and delivery heads with accurate volume projections and hiring recommendations. Ad Hoc & Client Requests Respond to urgent, data-driven client queries on volumes, productivity, KPIs, or any other metrics. Generate clean, presentation-ready insights for external communication. Process Automation Proactively identify manual or repetitive data processes and automate them using tools like Google Sheets scripts, Power Query, or dashboards. www.mediamint.com Maintain well-structured, documented data pipelines and reporting logic for ease of use across the team. Strategic Insights & Value-Add Provide leadership with actionable insights from data to help make strategic decisions. Suggest new performance metrics, efficiency benchmarks, or custom data views that improve operations. Preferred candidate profile 2-4 years of experience in a data analytics, MIS reporting, or operations analytics role. Strong expertise in Google Sheets/Excel, with hands-on experience in pivot tables, VLOOKUP/XLOOKUP, data cleaning, and visualization. Proficiency in data visualization and dashboarding using Looker Studio (Data Studio), Power BI, or similar tools. Experience in forecasting, trend analysis, and capacity modeling. Familiarity with performance operations data such as AHT, TAT, utilization, SLA adherence, etc. Excellent communication skills with the ability to present data clearly to non-technical stakeholders. High ownership, self-starter attitude, and ability to work under pressure and tight deadlines. Good to Have: Experience in a Digital Marketing / Ad Operations environment or client-facing BPO/operations analytics. Prior exposure to MBR/WBR decks for large enterprise clients. Knowledge of scripting languages (Google Apps Script, Python) for automating reporting tasks. What Success Looks Like: Operations and leadership teams are no longer bogged down by data/insights generation work. On-time creation and completion of the performance review presentations with actionable insights. Clear visibility on team performance, task volumes, and SLA adherence through intuitive dashboards. Improved planning accuracy and headcount forecasting for future volume projections. Reduction in turnaround time for ad hoc client or internal data asks. A more proactive, data-driven decision-making culture in the operations team. Please Fill out the candidate information form: https://shorturl.at/mwpHj

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

Clarivate is seeking an Internal Audit Senior Manager in Bangalore to join our growing internal audit team! Collaborating on a global scale, you will work closely with key business partners to understand a complex environment across a variety of systems and facilitate the control/process owner certifications. Using the utmost discretion, you will perform SOX, compliance and operational audits to mitigate risk and add value. With an exceptional attention to detail, you will identify control gaps, articulate deficiencies in writing, communicate to control owners, and monitor remediation/retesting as well as direct assistance and reliance work during our external audit process. As an Internal Audit team leader, you will coordinate and facilitate the review of testing performed by the Internal Audit team as well as our co-sourcing partners. Serving as a true subject matter expert, you will provide recommendations for areas of risk identified in the scope of audit work performed. Showing your ability to work as a key team member, you will contribute to other internal department initiatives, such as training and development, developing and completing operational audits, and other internal reviews, as requested. About You: Experience, education, skills, and accomplishments Bachelors degree in accounting, business management, finance degrees or related disciplines CPA or CIA required 10+ years of relevant work experience in a corporate or public Internal Audit function, including 3+ years of managerial experience Perform and report on SOX 404, compliance and operational audits Working knowledge of IIA standards and US GAAP It would be great if you also had the following. Experience in continuous monitoring and technology-enabled auditing techniques Data analytics experience (e.g., Power BI, SQL, CAATs, IDEA, ACL, Monarch, Tableau, Spotfire etc.) Knowledge of auditing FCPA, GDPR, 3rd party risk management etc. Understanding of IT dependencies (key reports, automated controls, etc.) and ITGCs Familiarity with Oracle, NetSuite, Salesforce, Blackline a plus What will you be doing in this role? The Internal Audit (IA) Senior Manager will report to the Internal Audit Director and will be responsible for managing the overall control environment and internal controls over financial reporting. Key tasks include defining new and assessing existing controls in a public Company, developing and leading staff on various audit and control test procedures, and reporting results to Management. Manage execution of the SOX program including the performance and review of walkthroughs, identification and assessment of process/control changes impacting risks, and business process control testing and reviewing Create, review and maintain control test plans and request lists Identify control gaps, articulating deficiencies in writing, communicating to control owners, and monitoring remediation/retesting Manage other operational reviews and value-add projects on behalf of the internal audit department. Proactively lead other internal department initiatives and activities such as training and development, management of SOX management tool and internal quality reviews. Travel up to 10%, as needed. About the Team We are a global Internal Audit Department with team members based across the United States and parts of Europe. Led by our Chief Internal Audit Officer, we work as a flat and tight knit group with an emphasis on supporting one another to achieve the annual IA plan. Hours of Work 40 working hours a week (flexibility to align with US-based colleagues). Work Mode: hybrid environment.

We are looking for a Senior Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 4 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements About the Team You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. Hours of Work This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

We are looking for an Associate Analyst to join our Data Visualization team in Bangalore. This is an amazing opportunity to work on Primary market research data and analysis. The team consists of 12 and is reporting to the Senior Manager. We have a great skill set in SPSS and we would love to speak with you if you have skills in Statistics and SPSS. About You experience, education, skills, and accomplishments A graduate or master's degree (e.g. Bachelors degree in statistics) with a proven record of academic success is required At least 1 year of experience in SPSS, PowerPoint, data visualization and Excel; VBA/Macros knowledge preferred. Knowledge, skills, or abilities (Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation) It would be great if you also had . . . Knowledge of pharmaceutical and/or medical device industries an asset but not required Advanced degree (MA, MBA, MS in life sciences, social sciences, or statistics) and/or relevant experience in the biopharma, healthcare, or market research sector a plus, but not required What will you be doing in this role? Populate databases (e.g., drug information, company deals, pricing, launch dates, global market access statistics) with information provided from various sources including secondary data from information resources or research teams or data procured by the research services analyst team Process PMR data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation Creation and population of PowerPoint and Excel templates (including leveraging technology such as e-tabs to produce), tables, figures, and graphics, in support of building final client deliverables Interpreting data and bulleted text provided by Analysts and other staff and translating them into carefully crafted presentations and other professional deliverables About the Team This role is in Data Viz team who supports the therapy teams in multiple domains. The team consists of 12 people (including manager). Hours of Work- Hybrid work mode. 12 pm 9 pm IST

We are looking for a highly motivated real-world evidence (RWE) data scientist who has experience in generating insights/evidence from claims and EHR real world data (RWD) to join our growing Bangalore-based RWE analytics team at Clarivate. About You experience, education, skills, and accomplishments Graduate degree in Data science/analytics, Epidemiology, Biostatistics, or related quantitative field At least 3 years experience in a consultative, client-facing role At least 3 years experience using SQL, Python, programming against large relational databases leveraging interoperable-linked, patient-level data at scale Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.) and codified healthcare data standards (e.g. ICD, CPT, HCPCS, LOINC, Snomed, etc.) It would be great if you also had . . Experience evaluating fit-for-purpose data and implementing research protocols Experienced applying RWD to specific healthcare and life sciences-related research questions and use cases, such as RWE/epidemiology, HEOR, R&D, commercial, public health What will you be doing in this role? Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, charge master) using SQL and Python to identify actionable insights for clients Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth Consult with clients to identify business problems and generate analytics-based solutions Develop and communicate technical, operational, and business specifications to junior analysts and engagement leads Work cross-functionally to support operational processes to deliver data analytics projects on time and with accuracy Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth About the Team We are a highly motivated team of 20+ analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivates RWD product for pharmaceutical, biopharma, and Med Tech clients. Hours of Work You will be expected to work on a work schedule (12: 00 PM IST to 9:00 PM IST) to provide for reasonable hours of collaborative work with the US team and there could be a slight extension on an as-needed basis.

We are looking for Data Scientist / Pricing Scientist / Sr.Data Scientist Company: AurumData Solutions (I) Pvt Ltd Client: MNC Experience: 4+ years Location: Hyderabad Job Mode: C2H Duration: 1yr+Ext Work Type: Hybrid Key Skills: Data Scientist / Pricing Scientist, Python, Data Analytics, Retail / Ecommerce, R, PowerBI, Snowflake/SQL and cloud technologies Required Skills: Min 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail / e-commerce analytics in similar industry and business function. Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must. Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques. Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc. If you are interested, kinldy share your profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 Email: Balaram@aurumdatasolutions.com

We are looking for a Sr. Business Analyst to join our Monitoring and Evaluation Team at Noida. This is an amazing opportunity to work on Data and data driven opportunities within IP Service. The team consists of 6 people and is reporting to the Sr. Manager Business Analytics. We have great skill set in SQL, PowerBI, data analytics and we would love to speak with you if you have relevant skills and love to work with data. About You experience, education, skills, and accomplishments Work experience At least 5 year of experience in reporting. Excellent working knowledge of Power BI software Excellent SQL & Data warehouse skills Excellent understanding of data analysis and troubleshooting. Strong mathematical, statistical and analytical skills, to help collect, organize and analyse data. Your structured approach, critical thinking, attention to detail, and desire to acquire new knowledge will enable your personal development in our organization. It would be great if you also had . . . Working knowledge of APIs Ability to test ideas and adapt methods quickly end to end from data extraction to visualization & implementation. Ability to work in a fast-paced, high-impact environment Worked with Agile methodologies and ticketing systems like JIRA. Good written & verbal communication skills What will you be doing in this role? Prepare & manage the MIS: Develop Operations Reporting using SQL, ETL Tools, Power BI etc. Complete ad hoc analyses as necessary to provide additional business insight Work with Analytics & Insights lead to produce monthly & quarterly business reviews Participate in team meetings and continuing education opportunities such as conferences, user groups etc. Explores existing data for insights and recommends additional sources of data for improvements About the Team The team consists of 6 members and is reporting to the Sr. Manager Business Analytics. Core process related responsibilities: Ensuring accurate and on time performance indicators to operational leadership. Team is responsible for preparation of various level of dashboards, data analysis and critical operational insights. This includes interacting with Internal stakeholders at various levels and locations, ensuring resolution to data related queries requirement understanding. Hours of Work 45-hours per week (including break), permanent full-time position.

We are looking for a Solution Analyst to join our Content Team in Noida. This is an amazing opportunity to work on Product. The team consists of 4 and is reporting to the Senior Manager Michael Duell. We have great skill set in data analytics, xml, and intellectual property and we would love to speak with you if you have skills in XML, Intellectual property, data analytics, and requirement writing. About You experience, education, skills, and accomplishments Preferred skills: Basic knowledge in Python, XML, Intellectual property Patents, and SQL. Familiar with JIRA 1 - 3 years of relevant professional experience in either Intellectual property or solution analysis. Bachelors degree required; Masters degree preferred, preferably in a quantitative or technical field It would be great if you also had Good analytical, verbal and written interpersonal and communication skills as the solutions Analysis is responsible for analyzing identified business needs and problems to elaborate requirements for innovative and effective solutions for internal and external customers. What will you be doing in this role? Assist stakeholders in the feature prioritization and development of scope for a quarter or release. Assess and evaluate existing solutions to determine their compatibility with new or evolving business needs. Collaborate with delivery teams to ensure the proposed solutions are technically feasible and sustainable. Analyse and interpret data to provide insights that inform decision-making. Create and maintain detailed Agile-oriented artifacts for proposed solutions, including functional and non-functional specifications, system flows, and data models throughout the development lifecycle Collaborate with cross-functional teams, including product owners, developers, QA, UX, architecture and delivery managers, to communicate and clarify requirements. Communicate technical concepts to non-technical stakeholders in a clear and understandable manner. Define acceptance criteria and work with QA teams to ensure that solutions meet the specified requirements and are free of defects. Participate in testing processes to validate the functionality and performance of solutions. Participate in defect troubleshooting and resolution.

We are looking for a Data Scientist to join our Technology team at Clarivate. You will get the opportunity to work on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services About You experience, education, skills, and accomplishments Advanced degree in Computer Science, Statistics, Engineering, Physics, Mathematics, or other quantitative majors, or equivalent work experience. Atleast 2 years of industry experience in the application of ML and NLP Excellent understanding of ML, NLP, and statistical methodologies in a data analytics environment Good programming skills (Python, Java, R or C++) It would be great if you have, Experience with large language model Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies What will you be doing in this role? Researches and identifies Machine Learning (ML) and Natural Language Processing (NLP) methods and algorithms to solve specific problems to improve user experience on IP & Science data and websites Implements these methods and devises appropriate test plans to validate and compare the different approaches Identifies new applications of ML and NLP in the context of Clarivate Analytics extensive sets of content and data Explores existing data for insights and recommends additional sources of data for improvements

Role - Data Analyst (Pyspark/SQL) Location - Bengalore Type - Hybrid Position - Full Time We are looking a Data Analyst who has strong expertise into PySpark & SQL Roles and Responsibilities Develop expertise in SQL queries for complex data analysis and troubleshooting issues related to data extraction, manipulation, transformation, mining, processing, wrangling, reporting, modeling, classification. Desired Candidate Profile 4-9 years of experience in Data Analytics with a strong background in PySpark programming language.

Salary: 30 to 45 LPA Exp: 8 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Reconciliation of disbursement accounts on a daily Coordinating internally for tracking BC partners Preparing reconciliation dashboards, trackers, and MIS Monthly reconciliation of portfolio data with BC partners Receiving and validating flat files

S&P Global Commodity Insights The Role: Consultant/ Senior Consultant, Oil Markets, Midstream & Downstream (OMD) Consulting within the S&P Global Commodity Insights Consulting Team The Team: This position is in the fast-growing Middle East and Indian Subcontinent (MDEI) consulting team of the Oil Markets, Midstream & Downstream (OMD) in S&P Global Commodity Insights division. We advise clients on crude oil, refined product, storage, retail markets and custom scenarios in the MDEI region and support our clients understanding of the increasing interdependence between crude markets, refining, petrochemical, energy transition (including biofuels) & mobility. The Impact: We are proud to have developed many pivotal market strategies for several National Oil Companies (NOCs), Independents and key stakeholders in the region and acted as com mercial advisors in several recent large capital formation deals in the region. Our clients range from leading NOCs, Governments, Lenders, Investment companies, and their associated industry bodies. We will continue leveraging our extensive regional experience, capabilities, and synergies with other S&P Global teams to deliver an aggressive growth plan in the next three years. Whats in it for you: The successful candidate will have the opportunity to work with a diverse, dynamic, and fast-growing team of consultants with wide-ranging backgrounds in energy and the hydrocarbon value chain. The varied and changing nature of our projects leads to the development of a diverse set of skills and exposure to different industries and clients, including senior industry leaders and policy makers. An outstanding culture, S&P Global consistently returns exceptional employee feedback in surveys identifying the company as a great place to work Responsibilities: Maintain general knowledge of oil and refining market for interaction with project managers and clients. Maintain a fundamental working knowledge of the basic company databases and tools, (Supply/Demand, Global Pricing System, Capacity Data Base and Trade Grids). Execution of projects requested by clients using the knowledge of these databases, tools, and other unique analytical approaches for the OMD Consulting team or the different wider consulting teams across Commodity Insights community. Capable of independent work to support project delivery. Support development, maintenance, and improvement of financial and economic models and lead project streams when directed. Prepare reports or presentations following company standards. Be capable of summarizing project information for clear presentation of results and conclusions to clients. Interface with client, if necessary, in the presentation of the final results. Work on preparing techno-commercial proposals based on client needs and if required to interface with other teams, following company standards and protocols. Work on capabilities building within the team, and knowledge sharing as an ongoing basis. What Were Looking For: 6-10 years of experience in the oil, refining & energy industry within operational, consulting, technology or engineering companies related to the segment. Minimum qualifications are bachelors degree, with chemical engineering will be preferred. MBA will be a strong plus. Ability to work well in a collegiate approach in a team-oriented environment, influencing stakeholders, providing ideas and open feedback. Strong written and oral presentation skills. The candidate must have an analytical frame of mind and be prepared to use data to back up opinions. Experience in downstream refining segment is a must have and can include retail, technical services, biofuels, lubricants, economic planning and scheduling, Corporate Strategy/ or trading segments. Experience in refining LP modelling tool PIMS, Data Analytics tools would be an added advantage.

Responsibilities : 9-12 Years Experience in Data Analytics and reporting, Data bricks, Power BI, Snowflake the Data Analytics Manager will lead the delivery of advanced analytics solutions across our Global team ensuring the team delivers high-quality, scalable data solutions using technologies such as Snowflake, Power BI, Microsoft Fabric, Azure, AWS, Python, SQL, and R. Lead and manage a team of 15 data analysts, engineers, and scientists, providing day-to-day direction, performance management, and career development. The successful candidate will foster a high-performance culture through coaching, mentoring, and continuous development, while ensuring alignment with business goals and data governance standards Act as a hands-on technical leader, guiding the team in the design and implementation of data solutions using Snowflake, Azure Synapse, AWS Redshift, and Microsoft Fabric. Oversee the development of dashboards and analytics products using Power BI, ensuring they meet business requirements and usability standards Drive the adoption of advanced analytics and machine learning models using Python, SQL, and R to support forecasting, segmentation, and operational insights. Establish and maintain team standards for code quality, documentation, testing, and version control. Design and deliver structured training plans to upskill team members in cloud platforms, analytics tools, and certifications (e.g., PL-300, SnowPro Core). Conduct regular performance reviews, and development planning to support individual growth and team capability. Collaborate with business stakeholders to translate requirements into actionable data solutions and ensure timely delivery Promote a culture of innovation, continuous improvement, and knowledge sharing within the team. Support the Head of Data Analytics in strategic planning, resource forecasting, and delivery governance Act as a hands-on technical leader, guiding the team in the design and implementation of data solutions using Snowflake, Azure Synapse, AWS Redshift, and Microsoft Fabric. Contact Person: Anupriya Yugesh Email ID: anupriya@gojobs.biz

Candidate Specifications: Candidate should have 3+ years of experience in Data Analytics and reporting, Databricks, Power BI, Snowflake. Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R. Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue. Hands-on experience in building and deploying machine learning models. Ability to translate complex data into actionable insights. Excellent problem-solving and communication skills Job Description: Design and build interactive dashboards and reports using Power BI and Microsoft Fabric Perform advanced data analysis and visualisation to support business decision-making. Develop and maintain data pipelines and queries using SQL and Python. Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights. Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows. Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks. Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.Use statistical techniques and hypothesis testing to validate assumptions and support decision-making. Document data science workflows and maintain reproducibility of experiments and models Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts Design and build interactive dashboards and reports using Power BI and Microsoft Fabric. Professional Certifications (preferred or in progress) Microsoft Certified: Power BI Data Analyst Associate (PL-300)SnowPro Core Certification (Snowflake) Microsoft Certified: Azure Data Engineer Associate AWS Certified: Data Analytics Specialty Contact Person- Hemalatha Email id - hemalatha@gojobs.biz

About Company Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India. Job Description As a Senior Data Scientist, you will be responsible for providing simple and intuitive solutions to the most complex problems in renewable industry. This will involve building machine learning and deep learning models which are coupled with contextual business knowledge. You will also use both management experience and data science expertise to lead analytics projects and mentor junior data scientists . You will be an integral part of conceptualizing, scoping and delivering complex analytics projects . You will do and oversee the development, testing and maintenance of analytical models which mimic business decisions. You will work with a world-class team of site managers, subject experts, data engineers and data scientists to build the next generation data-driven renewable company. Additionally, you will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence. Roles and Responsibilities Implement data science solutions which may involve machine learning or data science techniques to increase and optimize outputs Assess the effectiveness and accuracy of data sources and data gathering techniques Manage analytics strategy across multiple use cases Provide analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains Oversee and mentor large team of associate and junior-level data scientists, de-bottlenecking issues related to project execution Work closely with translators and business teams to develop and implement analytics solutions Collaborate with the engineering team to integrate data science solutions into production environments and deploy scalable solutions Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner Acquire extensive knowledge of renewables industry practices and implement tailor made techniques to solve problems relevant to the same Promote a culture of continuous learning, sharing knowledge, and staying up-to-date with emerging technologies and best practices in data science Profile & Eligible Criteria Bachelor's in Computer Science, Data Science, Statistics, Mathematics, or a related field. Master's degree preferred Proven experience of 4-6 years as a Data Scientist or in a similar role, with a strong track record of delivering successful data science projects Sound theoretical and practical knowledge of working in statistical analysis, machine learning techniques, and deep learning frameworks with solid of understanding of techniques related to regression, classification, NLP, Computer Vision, Generative AI Proficiency in Python is a must. Proficiency in SQL for data manipulation is a plus Worked in developing analytics solutions in 3-4 domains Excellent communication skills to effectively manage a team and collaborate with stakeholders in cross-functional teams Communication skills: Basic level of articulation of theoretical concepts Ability to communicate with cross functional roles is a plus Teamwork: Displays ability to work both as an individual and as a self-motivated team player Has worked in large teams with an agile setup in the past

Roles & responsibilities Maintain and update departmental registers (attendance, stock, compliance, issue logs, etc.) with accuracy and timeliness Develop and implement efficient systems for organizing digital and physical records Ensure data integrity by cross-verifying entries with source documents Collaborate with relevant staff for timely submission and verification of departmental data Generate routine reports, summaries, and dashboards for internal review Secure sensitive information and uphold data confidentiality protocols Assist during audits by providing well-maintained and accessible records Provide support in digitizing legacy data and establishing archival processes Track departmental KPIs through data metrics and trend analysis Desired Candidate Profile 2-3 years of post-qualification experience in an accounting firm or industry setting. Strong knowledge of Indian Accounting Standards (Ind AS), Income Tax Act, Companies Act etc. . Excellent analytical skills with ability to work independently under pressure deadlines.