319 Data Analyst Jobs - Page 6

Apply mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights and making key recommendations. Design and build tailor-made solutions from this data, aiding the Area Learning Leadership (ALL) in achieving their unique objectives and goals. Work closely with ALL nominated stakeholders to understand their business problems and objectives and design data modelling processes, create algorithms and build models to address. Undertake data collection, preprocessing and analysis. Present information using data visualization techniques specifically Microsoft Power BI (PBI) Skills required. Proven experience as a Data Scientist or Data Analyst Experience in data mining. Connect to and integrate data from multiple sources, including OLAP cubes. Design, develop, and maintain Power BI dashboards and Power Apps. Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset. Experience using business intelligence tools and data frameworks specifically require deep skills in Microsoft Power BI (PBI) Analytical mind and business acumen Problem-solving aptitude Solid communication skills Prior experience working at Microsoft (preferred) BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.

Job Description Key Skills- Configure and manage HVR instances for optimal performance and scalability. Monitor and troubleshoot HVR jobs, ensuring data integrity and consistency. Collaborate with data analysts and engineers to understand data requirements and build efficient pipelines. Good exposure on HVR platform upgrade. Aurora DB Admin Good experience in AWS Aurora Database administration Planning, Installing, Configuring & Troubleshooting Database Platform on Cloud and Onpremises environment. Good exposure on database upgrade, migration.

Meru Software Pvt Ltd is looking for AI Engineer / Data Analyst to join our dynamic team and embark on a rewarding career journey. Designing and developing AI algorithms and models to solve specific business problems. Creating and maintaining databases for storing and processing large amounts of data. Developing and deploying machine learning and deep learning models. Implementing and integrating AI solutions with existing systems and software. Analyzing and interpreting complex data sets to extract insights and drive decision - making. Collaborating with cross - functional teams to develop and deploy AI applications. Ensuring the security and privacy of data used in AI applications. Communicating and presenting technical information to non - technical stakeholders. Excellent communication skills & attention to detail.

About Us We are a specialty chemicals manufacturing company with a full stack solution from R&D to manufacturing and doorstep delivery of innovative chemicals. Headquartered in Bengaluru, India we cater to pharmaceutical, agrochemical, industrial chemicals, personal care, and home care industries. Our B2B fulfillment platform supports businesses globally in developing and manufacturing chemicals from lab to commercial scale. With a team of in-house R&D experts and scientists, we offer custom synthesis and route scouting services to support manufacturers in product development. We are VC backed - here is a read . We are 200+ people strong and have offices in India, UAE and Indonesia. We are currently exporting to over 17 countries from India currently. Read to learn more https://lnkd.in/gd7brT8S Job Description We are looking for a results-driven Data Analyst to support our internal teams with data insights, reports, and dashboards. The ideal candidate will have hands-on experience with MIS reporting, Excel-based analysis, and performance monitoring, and will work closely with various departments to improve operational efficiency. Key Responsibilities Generate timely and accurate reports for business and HR analysis Create MIS and dashboard reports and present findings to the concerned departments Collate, analyze, and document the company s quarterly and half-yearly performance details Generate, maintain, and analyze reports related to Sales, Quality, and Client Services Monitor implementation of MIS processes and assess their effectiveness Generate and maintain daily MIS data, ensuring regular updates to management Create monthly, weekly, and daily reports in MS Excel with in-depth analysis and actionable insights Implement reporting practices and operational metrics to improve efficiency Ensure all management reports are delivered with accuracy, timeliness, and professionalism Qualifications/Skills Advanced Excel skills including: Advance excel including:- 1) VLOOKUP, HLOOKUP 2) IF, SUM, SUMIFS 3) COUNT, COUNTIFS 4) Pivot Tables Strong analytical and problem-solving ability Good communication and presentation skills Eye for detail, accuracy, and consistency in data If you are a startup enthusiast and like working with fast paced and high growth teams, join the team. To explore synergies email your coordinates/ resume on neha.s@scimplify.com

The Global Quality Data Management Analyst position is responsible for managing all data management tasks for the Quality and Regulatory Affairs organization in order to monitor the overall performance of the QMS related to product performance across the lifecycle of the device and to proactively determine actions plans as applicable. The primary responsibility is to perform trend analysis activities, data mining and reporting, as well as working on delivering various quality reports and assisting other groups such as Design Assurance, Quality Assurance, Engineering, Operations, New Product Development, Marketing and Business Units in management of end user customer experience and market activities, as needed. Responsibilities: Assist with providing inputs to data management & analysis SOPs to ensure consistency and quality within data management activities related to, but not limited to: Quality System, PMS, training, audits, management review, document control and risk management Works closely with the GQRA and cross functional plant Quality Management teams to determine the most adequate way to track and trend quality data Analytical reporting- responsible to run Quality data and reports in accordance with the procedures utilizing BW4, Power BI, and/or excel Using statistical techniques, this position is responsible of generating specific queries to support growing / changing business and market needs, operations and compliance activities Prepares weekly and monthly trend reports on Quality data and shares with Global cross functional Quality and Regulatory Teams Performs lot analysis on quality data Performs regular and on-demand market saturation rate prediction models / estimates together with management Perform on-demand post launch product performance analysis for spring and Change Control process Review vigilance and other databases for relevant complaint information in support to the risk management activities Provide regular updates to the business regarding the Quality data Prepares for and assists with leading the product performance trend meetings (weekly FACTS meeting, monthly Monthly Management Review (MMR)) Prepares and Leads Quarterly Global Country Calls and presents on current quality trends and updates to product performance data. Assesses and provides inputs to different Regulatory Data Analytical Databases Support internal and external audits Other duties as needed or required Essential Functions of the Role**: Very little physical effort required to perform normal job duties (unless otherwise indicated) Must have manual dexterity (use of mouse, keyboard), to type and enter data in the computer as well for preparing presentations Travel 10% Work Experience Requirements Number of Overall Years Necessary: 2-5 Experience in the medical device industry is highly preferred in the areas of data analysis, complaints, CAPA, Quality Education Requirements Bachelors degree in science, engineering, statistics or related discipline Experience with ISO 13485, 21 CFR 820, MDD / MDR, ISO 14971 Specialized Skills/Technical Knowledge: In depth knowledge of statistical tools ( SPC, trend analysis, six sigma) Excellent oral and written communication skills Excellent interpersonal skills Ability to work on multiple assignments and balance priorities to meet timelines. SAP and Excel Microsoft Power BI Platform (M, DAX, Dataflows/cloud service, Data Modeling, and Reporting) Problem solving skills Mode - Hybrid

Fresher Fresher, HR, Recruitment, Excel, Hiring, MBA, Marketing, BPO, Calling Recruitment Office Coordinator Operation Receptionist Recruitment Hiring IT Recruitment Joining Offer Letter Naukri Portal Sales Counselling HR Intern

The Data Analyst will play a key role in transforming raw data into actionable insights to support strategic decision-making and enhance operational efficiency. The ideal candidate is a detail-oriented professional with strong analytical skills, proficiency in data tools, and the ability to communicate findings effectively to diverse stakeholders. Key Responsibilities Collect, analyze, and interpret data from multiple sources to provide actionable insights. Deliver regular and ad-hoc reports, dashboards, and analytical solutions to stakeholders. Develop high-quality, user-friendly reports and dashboards with self-service capabilities. Write SQL queries to manipulate and extract insights from large datasets. Collaborate with teams to ensure data quality and improve data collection and reporting processes. Present data-driven findings and recommendations in a clear and concise manner. Work closely with leadership to understand business needs and provide tailored analytical solutions. Identify trends, patterns, and opportunities to support operational and strategic goals. Experiece Proven experience in data analysis, reporting, and deriving insights in a fast-paced environment. Strong proficiency in manipulating and interpreting large datasets. Experience working with business stakeholders to translate data into actionable outcomes. Familiarity with data visualization and reporting tools Skills Demonstrated ability to deliver high-quality analytical reports and insights. Commitment to maintaining data accuracy and improving data processes. Strong organizational skills with the ability to manage multiple tasks and deadlines. Interpersonal skills to work effectively with cross-functional teams and stakeholders. Experience with Zoho Analytics or similar tools is highly desirable but not mandatory

The analyst shall define data validation process and perform manual reviews, data source review and alignment with data providers, ensure data quality standards are met, perform gap analyses and design solutions for improving data quality, experience with cost allocation methodology and infrastructure inventory/capacity type data

Product Data Analyst is a leading SaaS company with over 20 years of experience, specializing in aftermarket solutions. Our Service Lifecycle Management Platform offers domain-fit solutions for: Supply Chain optimization, Pricing strategy, Service Fulfillment (e.g. warranty management, field service management, service parts management, knowledge management). Our company has a with offices in US, UK, Germany, France, Italy, Japan, Poland, India and group headquarters in Sweden. We build upon the belief that our greatest strength is our People. Our unique has been With this we are winning the hearts and minds of world-leading organizations , such as JCB, Kubota, Electrolux, Toyota, Renault and Hitachi. About the role The Product Data Analyst will play a pivotal role in shaping the future of data-informed decision-making within the Product organization. Reporting to the Principal Product Analyst, this role will be part of a growing Product Analytics team focused on embedding data deeply into the product development lifecycle from discovery to delivery. You ll be a trusted analytical partner to Product Managers, Designers, and Engineering Leads, helping uncover user behaviours, evaluate feature effectiveness, and measure product performance with rigor and clarity. The right candidate brings a mix of curiosity, technical skill, business acumen, and the ability to influence with data. As we scale our analytics maturity, this is a rare opportunity to help lay the groundwork for scalable data practices and frameworks What would you do? Partner with Product, Design, Engineering, and Program teams to define, measure, and evaluate product success metrics. Partner with Product, Design, Engineering, and Program teams to define, measure, and evaluate product success metrics. Translate business questions into well-defined data problems and analytical approaches. Design and implement dashboards and reports that provide ongoing visibility into key performance indicators, product usage patterns, and customer engagement. Conduct in-depth analyses to evaluate product launches, experiments (A/B tests), funnel conversion, retention, and behavioural segmentation. Identify and communicate actionable insights that shape product strategy, roadmap prioritization, and customer experience enhancements. Proactively monitor data to identify anomalies, risks, and opportunities, and work with stakeholders to address them. Help develop scalable frameworks, models, and processes to streamline recurring analyses across the product portfolio. Contribute to the data literacy of the wider product organization by guiding best practices in instrumentation, event tracking, and KPI definition Who you are? / What we expect: 5+ years of experience in product analytics, growth analytics, or similar data roles, preferably in a tech or digital product environment. Strong command of SQL and experience with large datasets; proficiency in data visualization tools like Power BI , Tableau , Sisense , or equivalent. Solid understanding of A/B testing , experimentation frameworks, and statistical analysis techniques. Comfortable navigating ambiguity and identifying high-leverage analytical opportunities independently. Strong interpersonal and communication skills capable of translating complex data findings into clear narratives for both technical and non-technical audiences. Proven ability to influence stakeholders and drive decisions through data storytelling and insight. Experience in working closely with product development teams in agile environments. Bachelor s or Master s degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related discipline. Experience with Python or R for data analysis is a plus. Familiarity with digital product instrumentation (e.g., Mixpanel, Amplitude, or custom event tracking) is a plus. Passion for continuous learning and driving a culture of data-driven decision-making. Why join us? Be at the forefront of transforming how decisions are made with data across our product portfolio. Be at the forefront of transforming how decisions are made with data across our product portfolio. Work in a collaborative, high-impact environment where your insights directly shape the user experience and product success. Help define and build the product analytics culture and systems from the ground up. Unsure if you meet all the job requirements but passionate about the role? Apply anyway! Syncron values diversity and welcomes all Candidates, even those with non-traditional backgrounds. We believe in transferable skills and a shared passion for success! #LI-SYNCRON #LI-Remote #LI-Hybrid Department Products Bengaluru Contact Manager Talent Acquistion Employee Excellence Respect. Flexibility. Growth. At Syncron, we re not just shaping the future of service lifecycle management - we re also cultivating a dynamic and innovative community of thinkers, doers and visionaries passionate about making a difference. The world is changing. Manufacturing companies are shifting from selling products to delivering services. And we are driving this transformation together with our Customers, by helping them reduce costs and manual processes. We are guiding them on their journey towards a fully connected service experience and making their brand stronger. Our go al: to make the complex simple. Visit to get to know us better! Whistleblowing at Syncron If you encounter any case of potential ethical or laws violations, you may submit a report to a dedicated Syncron Whistleblowing Platform . You may request Syncron Whistleblowing Procedure via the ask a question tab available . Products Bengaluru Product Data Analyst Loading application form Already working at Syncron? Let s recruit together and find your next colleague.

Responsibilities Be a team player Dedicated to Source (Catalyst & Keystone) to GFIN (Target) Reconciliations, GFIN vs HFM Reconciliations, and research discrepancies between the systems Work with Data Engineering and Power BI developers to create recon dashboards and general maintenance of dashboards Create and update process documentation Support Internal Audit requests Participate in ad hoc project requests Management of Change Champions for MDG - to ensure the smooth flowing of new Data Objects via the MDG process Governance of new Data Objects, and Values Management of effective input capture and central overview data files Experience 3 to 5 years experience Proactive, self-starter - driving agenda and opportunities for improvement Simplification in comms and actions necessary to take to solve issues Question and call out when data look unusual Autonomy to review and research on their own and support findings Excel savvy - experience working with frequent and large data sets Some systems experience preferred (SAP, HFM, Oracle, Snowflake, Power BI) Experience of Data Governance and systems related to DG Has proven Networks in KH - knows who to speak to Working knowledge of products, and how these fit together with supply elements Understanding of data rules by functional areas Confidence in using applications, some systems experience preferred - SAP, HFM, Oracle, Snowflake, Power BI Hours - Hybrid US hours - during close week Hybrid hours - same schedule as current team during non close week Location(s) Ahmedabad - Mondeal Heights - GBS Center

Job Location: Chennai, Bangalore, Hyderabad Experience: 5 - 15 yrs Job Type: FTE Shift Timing: 2 PM IST till 11 PM IST Note: Looking only for Immediate to 1 week joiners. Must be comfortable for Video discussion. JD Key Skills: Data Analyst, SQL, Datastage, Snowflake, AWS, Datawarehouse Looking for a Sr. Data Analyst who is experienced in the ETL/Datawarehousing technologies Experienced Data Analyst in ETL/Datawarehousing Experience with SQL, Datastage, Autosys, Snowflake, AWS Knowledge of Agile execution/delivery processes/tools including Confluence, JIRA, SharePoint, and ServiceNow Candidate needs to be having the below : >Minimum of 5+ years of Data analyst experience >Experienced in ETL (Datastage preferrable but fine with others as well) >Experienced in Data Analysis ( Data Cleansing, Data validation, Data Mapping & Solutioning, ETL QA) >Experienced in SQL (Snowflake, SQL server, Oracle SQL/ PL SQL - Any of these) >Should be capable of Client facing work on a day-to-day basis >Knowledgeable in Investment Banking/Asset Management/Compliance Regulatory reporting - any of these is good-to-have Contact Person - Amrita Please share your updated profile to amrita.anandita@htcinc.com with the below mentioned details: Full Name (As per Aadhar card) - Total Exp. - Rel. Exp. (Data Analyst) - Rel. Exp. (Datawarehouse) - Rel. Exp. (SQL) - Rel. Exp. (Datastage) - Rel. Exp. (Snowflake) - Rel. Exp. (AWS) - Highest Education (if has done B.Tech/ B.E, then specify) - Notice Period - If serving Notice or not working, then mention your last working day as per your relieving letter - CCTC - ECTC - Current Location - Preferred Location -

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

Role 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).

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.

Experience - 8-10 years 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).

Experience - 8-10 years 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).

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.

Enterprise Services comprises of multiple business platforms including Client Services, Global Business Operations, Business Architecture, Data Strategy and Analytics, and Digital Services, which report into the Chief of Enterprise Services. These grouped platforms enable the business to optimize delivery for clients, generate efficiencies and resilience, and enable consistency in the business digitization strategy, processes and end-to-end best practices. Pay and Benefits: Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and we'll-being benefits, based on location Pension / Retirement benefits Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional we'll-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, we'dnesdays and a third day unique to each team or employee). The Impact you will have in this role: The Business Analyst / Data Analyst is a core member of the Business Intelligence team within Enterprise Data Solutions at DTCC responsible for end-to-end delivery of business intelligence use cases across multiple internal stakeholder groups. You will support the full lifecycle of delivery, from initial requirements gathering and analysis through design and development, production deployment and ultimately on-going support. The role requires deep understanding of data analysis, visualization design, and the ability to develop data-driven solutions. The Business Analyst / Data Analyst will bridge the gap between business and technical teams, ensuring that BI tools and strategies drive measurable business value. Your Primary Responsibilities: Collaborate with stakeholders to identify and document detailed functional and non-functional business requirements for Business Intelligence (BI) solutions Conduct preliminary data analysis for new projects: resolve whether required data inputs are available in our data ecosystem or else facilitate the onboarding plans to add the required data Execute data analysis discovery to identify trends, patterns and actionable insights, presenting findings clearly through established data visualization tools Partner with developers and data engineers to design scalable BI solutions Drive progress across multiple projects simultaneously through the full life cycle, from initiation to closing Mitigate risk by following established procedures and monitoring controls, spotting key errors, and demonstrating strong ethical behavior Aligns risk and control processes into day to day responsibilities to monitor and mitigate risk; escalates appropriately Qualifications: Minimum of 2 years of related experience Bachelors degree preferred or equivalent experience Collaborate with stakeholders to identify and document detailed functional and non-functional business requirements for Business Intelligence (BI) solutions Conduct preliminary data analysis for new projects: resolve whether required data inputs are available in our data ecosystem or else facilitate the onboarding plans to add the required data Execute data analysis discovery to identify trends, patterns and actionable insights, presenting findings clearly through established data visualization tools Partner with developers and data engineers to design scalable BI solutions Drive progress across multiple projects simultaneously through the full life cycle, from initiation to closing

Key Responsibilities: Gather, clean, and analyze large data sets from various sources Develop dashboards and reports using tools like Power BI, Tableau, or Excel Identify trends, patterns, and actionable insights to support decision-making Work with cross-functional teams to define data requirements and deliver insights Prepare detailed reports and present findings to stakeholders Automate data processing and reporting pipelines where applicable

Research and collect data on market places like consumers, competitors and consolidate information into reports and presentations. Understanding business objectives and design surveys according to customers preferences. Compile and analyse statistical data using modern and traditional methods to collect it Taking a sample report of data before initiating any huge project. Use online market research and catalogue findings to databases Provide competitive analysis on various companies market offerings, identify market trends, pricing/business models, sales and methods of operation Ensure to deliver the data before the end date and recheck that data on the releases are accurate and the angle of the release is correct. Stay updated and fully informed on market trends, other parties researches and implement best practices. Requirements A Bachelors degree. Proven Market Research Analysis experience. Knowledge in Funding Events Great accuracy in Data appending. Fast worker and able to cope up with pressured work. Analytical mind and skills. Keen observer and having strong attention to detail the data. Strong knowledge in statistics and MS Office and able to notice patterns. Strong communication and presentation skills. Organization skills. Awareness in commercials Works in a methodical way to approach Quick learner Excellent working experience in skills like Data scrapping, Data counts, and Sampling Typewriting skills Team worker Flexibility and Adaptability Benefits Standard Job Role and Standard Job timing Provident Fund and Employee State Insurance Monday to Friday Working Night Shift Allowances Great work environment Other benefits

Position: Data Analyst. Contract: On Contract Role. Design and develop dashboards and automation tools by programing in MS Access, MS Excel, and Tableau/Power BI dashboards for solutions in conjunction with multiple data sources such as SQL Database, SAP Hana, SharePoint etc. Maintain all supported solutions as defined by requestors located globally (AP, EU and NA zones). Work effectively with the business with regards to fixing breaks in the process and support changes. Demonstrate initiatives to identify process efficiencies. Understand business process changes and impact on the tools design. Escalate any design issues or conflicting priorities to ensure timely product delivery. We are recruiting a Data Analyst to join one of our leading multinational clients and their expanding team. This position is based in Bangalore and offers an excellent opportunity for experienced proposal management professionals in the Conventional Energy sector. Should possess strong verbal communication and writing skills in English. Keen attention to details, strong analytical skills and problem-solving skills. Proficient in MS Excel and Sharepoint. Good technical understanding of database/application design, development cycles and structural principles. Advanced programming skills in Microsoft products: Access, advance Excel: (powerpivot, power query, power view), VBA Programming. Good technical knowledge or able to learn on Data Analytics platforms and auto process workflow: ServiceNow, PowerBI, Tableau. Good technical knowledge or able to learn on SQL Database server, Stored Procedures.

Responsibilities : Data Analysis and Management Conduct advanced spatial data analysis using GIS software (ArcGIS, QGIS) to derive meaningful insights. Manage, manipulate, and analyze large geospatial datasets to produce high-quality maps and actionable reports. Ensure data accuracy and integrity through rigorous quality control measures and regular audits. Programming and Automation Develop and implement Python scripts for data processing, analysis, and automation, with proficiency in SQL for querying and managing databases.

Senior Talent Operations Data Analyst Location: Chennai About Toast: Toast is driven by its mission to build an all-in-one restaurant platform that empowers restaurants to operate their business efficiently, increase sales, engage guests, and maintain employee satisfaction. As a dynamic and fast-growing company, we are committed to delivering innovative solutions to the restaurant industry. Job Summary: The Senior Talent Operations Data Analyst will be a key analytical resource within Talent Acquisition (TA) and will operate as the technical engine of the Talent Analytics team. The ideal candidate will have extensive experience working with recruiting and people data and will be comfortable navigating the inherent nuances of the recruiting space. They will have both the subject matter expertise and technical savvy to act as the primary SQL resource of the Talent Analytics team, using various data sources to enhance reporting and operations with a relentless focus on efficiency and scalability. Work Mode: Hybrid (2 days a week in the office) Key Responsibilities: Drive efficiency in the People & Places data infrastructure by writing and maintaining highly optimized SQL queries using multiple data sources. Partner with the People Analytics team to create and maintain complex, easily digestible dashboards in Sigma. Proactively identify process improvement opportunities and provide recommendations to improve data quality. Create capacity models to provide Talent leadership with flexible tools for scenario and resource planning. Create hiring forecasts for operationally distinct business functions. Write and maintain comprehensive documentation on data infrastructure, metrics, and processes for internal and external stakeholders. Address ad-hoc data and reporting requests from various functions across the People & Places team. Qualifications: 7+ years of experience in Data Analysis, Data Science, or Business Intelligence. Advanced proficiency in SQL and data visualization tools (such as Tableau, Sigma, Power BI). Previous experience with Greenhouse and Workday data or strong understanding of recruiting and/or people data. Previous experience with capacity modeling. Ability to work independently and adapt quickly to a dynamic environment. Excellent project and change management skills. Bachelor s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Preferred Qualifications (Nice to Have): Proficient with Python or R. Minimum educational qualification: Any Undergraduate (UG) degree. Why Toast? At Toast, we believe in fostering a collaborative and innovative work environment. Join our team and be part of building solutions that positively impact the restaurant industry while growing your career in a supportive and dynamic environment. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https: / / careers.toasttab.com / locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. ------ For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

What this opportunity involves:We seek a Sustainability Data Analyst to join our team. You will support the sustainability data analyst reporting, data management, platform, compliance and reporting functions for a wide range of assets across JLL.JLL's purpose-driven global sustainability program delivers impact on climate action for sustainable real estate, healthy spaces for all people and thriving communities.We are a rapidly expanding team, and over time we continuously support your growth with development opportunities available within our data and analytics teams. An overview of the role:- Assist the reporting team with insights, analytics, preparing data and presentations.- Assist the team with delivering projects that will enable clients to meet sustainability reporting objectives.- Managing utility(electricity, Natural Gas, water, etc) level data and reporting on consumption, cost and emissions.- Develop a detailed understanding of JLL s sustainability reporting application and how we support clients in measuring sustainability performance.- Assist the team with client delivery milestones to ensure they are being met.Sounds like you This is what we are looking for- A passion for Sustainability and pulling together associated Data and Reporting.- Intermediate Excel skills.- Insights, element visualisation, and presenting data.- Excellent communication skills.