3601 Data Visualization Jobs - Page 26

SUMMARY Job Role: Data Engineering Professionals Location Pune Experience 6+ years Must-Have The candidate must possess at least 5 years of relevant experience in Data Engineering with Java or Python Development. As an Application Lead, you will be responsible for leading the design, development, and configuration of applications, serving as the primary point of contact. Your day-to-day activities will involve collaborating with multiple teams to ensure project milestones are achieved, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. Additionally, you will participate in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will play a crucial part in driving the success of application projects and fostering a collaborative environment. Key Responsibilities Develop and execute targeted campaigns to attract backend engineers with Java or Python expertise. Collaborate with engineering and recruitment teams to understand role requirements and ideal candidate profiles. Utilize platforms like LinkedIn, GitHub, Stack Overflow, and tech forums to identify and engage potential candidates. Create compelling content (emails, job posts, social media snippets) tailored to backend developers. Analyze campaign performance and optimize strategies for better reach and conversion. Build and maintain a talent community for backend engineers. Required Skills & Qualifications Strong understanding of backend technologies, especially Java or Python. Familiarity with developer ecosystems, tools, and communities. Excellent communication and content creation skills. Data-driven mindset with experience using analytics tools to measure campaign success. Ability to work cross-functionally with engineering, HR, and marketing teams. Experience with technologies such as Python, Machine Learning Algorithms, Optimization Algorithms, Rule Mining, Model Training/Deployment. Experience with technologies such as Computer Vision, LLM, Statistical Analysis, Data Visualization, SQL, Cloud Platform (Azure), MLOps. Additional Information The candidate should have a minimum of 5 years of experience in Data Engineering. A 15-year full-time education is required. Benefits

Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a Lead Business Analyst, Insights in our Analytics Centre of Excellence who works in the Hotels team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role is a part of the Hotels team, which includes HotelTonight. We are a fun, entrepreneurial team where you can have an outsized impact. Simplicity is at the core of our products. We pride ourselves on delivering the smoothest and most intuitive hotel booking experience for guests. HotelTonight, an Airbnb company, provides guests great hotels at amazing prices by helping hotel partners sell unsold inventory. The Difference You Will Make: Business Analyst will help set up a team at Airbnb with a focus on building a functional vision and championing the use of data in making key business decisions. A Typical Day: Build and update dashboards in Tableau and Looker to drive actionable insights and self-service for stakeholders. Acts as a consolidation point for all Supply related data analysis needs and data integrity issues. Investigates data quality issues reported by business and finds solutions/fixes Collaborates with data engineering and data science to investigate such data issues Interfaces with data engineering to drive prioritization and accountability of data needs. Build a case for necessary resources within data engineering to support Supply data needs. Ensures data quality and data integrity to manage Supply data assets to be analysis ready. Automate routine reporting to dashboards with advanced filtering and deep dive capabilities. Establish standards for metadata/ taxonomy, metrics, query, reports and scorecards. Creates specifications and generates reports and analysis mapping to business needs. Provide consultation and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using databases and reporting tools. Push for continuous improvement when it comes to best in class data visualization. Ad-hoc reporting and analysis to support key Supply initiatives. Provide actionable data-driven recommendations to stakeholders’ business questions Stakeholder management: Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership Collaborate with leaders and managers to determine and address data and reporting needs for various company projects Enable the function as an analytics consultant: Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes Prepare reports/dashboards/build actionable insights: Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers Independently work on deep insightful analysis and advanced analytics Provide solutions to business problems through quick ad-hocs analysis with deep insights Provide robust analytical solutions through advanced/statistical analysis Your Expertise: A minimum of 8 years of overall experience. Graduate in Economics, Business, Engineering, or other quantitative focus. Expertise with Tableau with minimum 2 years experience in building enterprise level dashboards. Excellent SQL skills and expertise in Microsoft Excel and various business intelligence and analytical tools and comfortable using Git and Python Expert with using Google Suite i.e. Google Sheets, Google Slides. Passion for Data Visualization and driving user adoption of dashboards. Exposure/ expertise in Snowflake database and LookML Design and build data pipelines to automate flow of data from various sources to power dashboards and critical analyses Impeccable attention and commitment to creating clean reproducible code. Strong analytical capabilities & logic driven mindset. Understanding of data gathering, inspecting, cleansing, transforming, and modeling / diagramming techniques. Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation Rich experience in insightful data analytics and good knowledge of statistical analytics like random forest regression / variable importance determination Excellent time management skills and ability to prioritize work. Flexibility to adapt to changing requirements to meet stakeholder needs. Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. Hybrid Work Requirements & Expectations: To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following: Workspace : A dedicated, quiet, and private workspace free from interruptions and external noise Internet Connectivity : During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved. Confidentiality & Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.

Job Summary The Team Lead - Business Analyst to join our Merchandising Analytics Team based in Dania Beach, FL. In this role, the Business Analyst will directly support our Enterprise Data and BI team in delivering scalable data infrastructure, supporting data governance initiatives, and improving the self-service merchandising reporting environment. You will report to the Sr. Manager, Enterprise Data and BI and partner with analysts, data engineers, and the corporate IT team to anticipate data infrastructure needs and proactively build solutions that fuel data driven insights. In this role your key responsibilities will include: The ideal candidate will demonstrate exemplary skills in retrieving and analyzing data sets with millions of records and is highly proficient in SQL, Excel and Tableau. They will have proven experience creating metrics and dashboards using customer, marketing, ecommerce, and financial metrics. In addition to a strong analytics background, this individual will have the ability to apply data visualization techniques that present abstract and complex topics in a clear and concise manner. What You'll Do: • Partner with analytics, data engineering, and BI teams to develop and QA new data tables and data sources across multiple platforms • Partner with business leaders and report end-users to continuously improve the Tableau experience and ensure that KPI’s are both actionable and insightful • Support the Sr. Manager of Enterprise BI in developing and maintaining strict data governance standards in both Tableau and underlying data sources • Develop and maintain reusable SQL scripts that can source multiple business cases and reporting needs • Support the development and creation of insightful and intuitive Tableau dashboards using multiple data sources, parameters, and measures • Perform complex analyses on customer behavior, marketing mix, and funnel performance by leveraging data sets with millions of records from multiple systems • Partner with various analytics teams to scope and build scalable, self-service reporting for cross-functional stakeholders • Partner with stakeholders to construct and prioritize product release roadmaps using JIRA, Confluence, and other workflow management and documentation tools

Skills required: Strong technical foundation in AI/ML, Data Science, Generative AI, AI Tools and Prompt Engineering. Ability to guide students in building projects and portfolios in relevant technologies. Must be able to confidently explain and simplify any concept in the mentioned technologies for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Deliver engaging and practical training sessions on AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering across colleges, schools, and premier institutions . Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency. Content Development: Develop and continuously update training materials, live projects, and demos in line with current trends in AI/ML, Data science, GenAI Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, Data Science, Generative AI, AI tools, and Prompt Engineering . The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs.

Role & responsibilities Adaptation of existing digital standard solutions to customer-specific applications / hardware. Configure applications purchased by the customer, either onsite or remotely, and adapt them to specific requirements and customer standards. Creation of compelling Dashboards / Reports in projects in the Voith Cloud or on-premise servers using the released Voith tools, mostly via remote service (with eventual exceptions which may require onsite services). Perform configuration of hardware / virtual images of standard & pilot software packages. Provide technical training and guidance to customers Provide technical support, troubleshooting and performance optimization assistance to customers, in collaboration with the 2nd level and/or 3rd level support organizations. Create and maintain technical documentation related to internal or external projects, incl. system configuration documentation, templates, etc. and ensure accurate and accessible records. Strive for fostering positive relationships and ensuring long-term customer satisfaction App development on the basis of approved modules from R&D. Execute small development projects to improve the usability of platforms and applications, as well as provide our Team with new tools we can use to improve our services or extend our offerings. Contribute to R&D teams in apps development. Engage in continuous Know-how transfer from R&D to the OPL for newly developed Products. Preferred candidate profile 5-10 years of experience as Reporting / Dashboard applications developer. Bachelors degree (BE/B.TECH) in Computer Science, MIS or related qualification. A masters degree is always helpful. A strong analytical and logical mindset to understand complex and advanced functional, technical and business requirements and translate them into executable architectural designs.

Role Overview: We are looking for a highly experienced and strategic Senior Data Analyst to join our Marketing team. This role requires a data leader who can go beyond reportingsomeone who can transform complex data into strategic marketing insights, influence decision-making at the leadership level, and enhance performance across digital, offline, and integrated campaigns. Key Responsibilities: Lead the design, development, and automation of marketing dashboards and performance reports Analyze customer behavior, channel performance, campaign effectiveness, lead funnel, and ROI across all marketing activities Partner with senior marketing leadership to define KPIs and drive insights for brand, digital, content, and CRM teams Develop models for segmentation, targeting, predictive analytics, and marketing mix optimization Build scalable data processes and reporting frameworks aligned to business growth and campaign scale Guide experimentation and A/B testing frameworks; evaluate marketing hypotheses with statistical rigor Mentor and guide junior analysts or data associates within the team Present findings to senior stakeholders using visualization tools and compelling storytelling Collaborate with Data Engineering, IT, and external partners to ensure marketing data quality and governance Key Skills & Qualifications: Bachelors or Masters degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field 1012 years of experience in data analytics, with significant focus on marketing analytics Deep understanding of multi-channel marketing campaigns (digital, offline, CRM) and customer journeys Advanced proficiency in SQL , Excel , Power BI/Tableau , and Google Analytics or similar tools Experience with CRM and marketing platforms such as Salesforce, HubSpot, Adobe Analytics, or Marketo Strong statistical knowledge and experience in predictive modeling and marketing mix modeling Proven ability to influence strategic decisions through data-driven insights Excellent stakeholder management, communication, and presentation skills Interested Candidates can share your profile at deepti.modani@carehospitals.com

Economist Impact combines the rigour of a think-tank with the creativity of a media brand to engage a globally influential audience. We believe that evidence-based insights can open debate, broaden perspectives and catalyse progress. Economist Impact s Policy & Insights team combines qualitative and quantitative research techniques to generate new insights to support the marketing and communications objectives of businesses, governments and international organisations. The role of Analyst, Policy & Insights plays a critical role in the delivery of Economist Impact sponsored thought leadership research programmes. Analysts work with qualitative and quantitative research methods, analyse data and develop research findings, and write in clear, Economist-style, jargon-free prose. A successful Analyst has a keen interest in global policy, business and economic issues and a natural intellectual curiosity, is well organized and efficient, has strong analytical and critical thinking skills, and strong written and oral communication skills. Economist Impact s thought leadership work has four core areas of expertise - Health, Trade & Geopolitics, Tech & Innovation and Sustainability & Energy. Analysts typically work across thematic areas but in some instances we recruit Analysts with demonstrated education or work experience that aligns with these expertise areas. How you will contribute As an Analyst, your primary focus will be supporting senior Impact experts and content leads to produce and deliver high quality research and content for sponsored research programmes. Produce high quality research analysis utilizing qualitative and quantitative methodologies. Undertake desk-research, literature reviews and rapid evidence assessments. Undertake qualitative interviews with experts and produce interview summaries and key findings. Undertake structured analysis of survey results, including descriptive statistics, cross-tabulation and, in some instances, regression analysis. Produce initial drafts of research findings, report and article outlines, and infographics. Contribute to writing and editing research outputs, including reports, briefing papers, articles and infographics. Support with report production including reference checking, chart and data visualization creation. The desirable skills, experience and qualifications for this role include: Two years or more of research, consulting or journalist experience Strong written and verbal communication skills, including ability to translate complex research and analysis into clear and jargon-free prose highlighting key findings and policy analysis Strong data and policy analysis skills with experience working with both qualitative and quantitative research methodologies; ability resolve complex and unfamiliar problems in a timely manner Comfortable with client interaction and interest in building relationships Strong interpersonal skills to create easy working relationships with clients, partners and the internal team Extremely well-organized with a proven ability to meet deadlines under pressure Detail oriented and analytical Energy and desire to grow as part of a highly entrepreneurial team #LI- Hybrid What we offer Benefits We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered. Our Values Our values are a collective set of beliefs and behaviours that strengthen The Economist Groups purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world. Independence We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world. Integrity We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency. Excellence We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation. Inclusivity We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully. Openness

Summary We are seeking a highly skilled and motivated Data Analyst to join our growing data analytics team In this role you will focus on analyzing our ecommerce clickstream and user behavior data to provide actionable insights that drive business growth and inform our product roadmap You will leverage your expertise in tools like Adobe Analytics GCP BigQuery SQL and Python to extract analyze and visualize complex data sets Working closely with our Senior Data AnalystArchitect you will contribute to the strategic direction of our product development efforts Responsibilities Ecommerce Clickstream Analysis Analyze rich ecommerce clickstream data using Adobe Analytics to understand user journeys identify dropoff points and uncover opportunities for website optimization and improved user experience User Behavior Analysis Investigate user behavior patterns segmentation and preferences to gain deep insights into customer interactions with our ecommerce platform Data Extraction and Manipulation Utilize SQL and Python to query extract clean and transform large datasets from our data warehouse GCP BigQuery Data Visualization and Reporting Create insightful dashboards reports and presentations using data visualization tools to effectively communicate findings and recommendations to stakeholders across different teams Collaborate on Product Roadmap Work closely with the Senior Data AnalystArchitect to translate datadriven insights into actionable recommendations that contribute to the development and prioritization of the product roadmap Identify Key Metrics and KPIs Define and track key performance indicators KPIs to measure the success of product features and website changes based on data analysis Conduct AB Testing Analysis Support and analyze the results of AB testing experiments to optimize user engagement and conversion rates Partner with CrossFunctional Teams Collaborate with product managers marketing teams and engineering teams to understand their data needs and provide them with relevant and timely insights Ensure Data Quality and Integrity Maintain data accuracy and consistency by implementing data quality checks and collaborating with data engineering teams to resolve any data discrepancies Stay Updated on Industry Trends Continuously learn and stay uptodate with the latest trends and best practices in ecommerce analytics and data analysis techniques Qualifications Bachelors degree in a quantitative field such as Statistics Mathematics Computer Science Economics or a related area Proven experience 2 years as a Data Analyst preferably with a focus on ecommerce analytics Handson experience with Adobe Analytics for tracking and analyzing website traffic and user behavior Strong proficiency in SQL for querying and manipulating large datasets Solid programming skills in Python for data analysis manipulation and automation experience with libraries like Pandas NumPy Matplotlib Seaborn is preferred Experience working with cloudbased data warehouses preferably GCP BigQuery Experience with data visualization tools eg Tableau Looker Power BI to create compelling and informative dashboards and reports Strong analytical and problemsolving skills with the ability to interpret complex data and extract actionable insights Excellent communication and presentation skills with the ability to clearly convey technical findings to nontechnical audiences Ability to work independently and collaboratively in a fastpaced environment Skills Adobe Analytics GCP BigQuery SQL Python Pandas NumPy Matplotlib Seaborn Ecommerce Analytics User Behavior Analysis Clickstream Data Analysis Data Visualization Data Reporting AB Testing Analysis Product Roadmap Contribution Statistical Analysis Data Mining Communication Written Verbal ProblemSolving Teamwork

Job Description Job summary: Our ground-breaking technology is built on top of Billions of data points that are representative of a developer s interaction with Source Code and Task Tracking systems. The enormous amount of data BlueOptima processes daily requires specialists to dive into the dataset, and identify insights from the data points and device solutions to extend and enhance BlueOptima s product suite. We are looking for talented data analysts who are critical of data and curious to determine the story it narrates, explore vast datasets and are aptly able to use any and all tools available at their disposal to interrogate the data. A successful candidate will turn data into information, information into insight, and insight into valuable product features. Responsibilities and tasks : Collaborate with the marketing team to produce impactful technical whitepapers by conducting thorough data collection and analysis and contributing to content development. Partner with the Machine Learning and Data Engineering team to develop and implement innovative solutions for our Developer Analytics and Team Lead Dashboard products. Provide insightful data analysis and build actionable dashboards to empower data-driven decision-making across business teams (Sales, Customer Success, Marketing). Deliver compelling data visualizations and reports using tools like Tableau and Grafana to communicate key insights to internal and external stakeholders. Identify and implement opportunities to automate data analysis, reporting, and dashboard creation processes to improve efficiency. Qualifications A) Technical Must have a minimum of 3 years of relevant Work Experience in Data Science, Data Analytics, or Business Intelligence Demonstrate advanced SQL expertise, i

We re on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster. Our mission is to change the world but to do this, we need people like you. Apart from job satisfaction, we can offer you: YOURSELF Starting at 14 days holiday per year, rising to 22 days with increased service. In addition to public holidays Life Events, Service Awards, Company Outings HEALTH Medical plan Annual medical check WEALTH Social security and public housing fund Supplementary Housing Allowance Life assurance Critical illness cover Responsibility Supporting Activities Leadership and Team Management Leads, mentors and develops a clinical data management team through direct line management. Provides training on Data Management procedures. Provides training and monitors performance to ensure the team are operating at the highest level to design and deploy clinical databases for multiple clinical imaging studies. Manages team workload and prioritization for all assigned staff. Acts as resource manager for dedicated therapeutic area. Sets clear goals, providing regular feedback and fostering a collaborative team environment. Conducts one-on-one meetings. Mentors and ensures the team adheres to best practices and industry standards and facilitates positive career growth. Data Management Creates study Data Management Plans and deployment roadmaps. Oversees and participates in the design of study CRFs and databases utilizing eCRF library. Provides guidance as clinical database development subject matter expert. Monitors study timelines and communicates risk. Acts as sponsor portfolio lead representative. Oversees multiple concurrent projects. Facilitates study team involvement in database development. Utilizes metrics to monitor study health. Communicates with sponsors and internal leadership regarding study data processes, endpoints, and overall data management process. Process Oversight Creates and maintains Standard Operating Procedures. Provides guidance on Data Management best practices and regulatory considerations. Defines new procedures and solutions for novel therapeutics and study endpoints. Other Carries out any other reasonable duties as requested. Functional Competencies (Technical knowledge/Skills): Excellent demonstrable knowledge of regulatory guidelines and requirements for clinical data management. Displays excellent understanding of clinical trial data standards. Understanding of clinical trial processes, protocols, and regulatory requirements (e.g., FDA guidelines) related to data management. Excellent communication (oral and written) and interpersonal skills, to convey data-related information to technical and non-technical stakeholders (internal and external) including clients and research centres. Excellent analytical skills with attention to detail and the ability to identify data discrepancies and trends. Ability to manage multiple tasks and prioritize work in a fast-paced and deadline-driven environment, with the ability to raise potential issues with deliverables on time. Detail oriented and possess excellent organizational skills. Builds and maintains an up-to-date awareness of industry trends, best practices, and emerging technologies in data management for clinical research. Ability to work collaboratively within a matrix team environment. Ability to effectively motivate and guide team members towards shared goals. Natural coach/mentor who leads by example with an approachable demeanour and visible leader skills. A self-starter and able to work under own initiative. Strong analytical and creative problem-solving skills to identify issues and propose solutions. Displays technical project management skills and oversight. Ability to manage task creation and tracking via ticketing software. Demonstrates meticulous attention to detail, documentation and adherence to study protocols and standard operation procedures (SOPs). Behaviour Competencies: Accountability Adaptability Customer focus Robust Decision Making Time Management Analytical thinking Results orientation Conflict Management Business Acumen Developing direct reports and others Experience, Education, and Certifications: Significant demonstrable practical work experience in a clinical or technical setting. Line management experience. Demonstrable experience in team settings to achieve goals. Demonstrable experience and proficiency with clinical data management systems. Experience working with research support or clinical team. Proficiency in Microsoft Office Suite (Word, Excel (macros), PowerPoint) and data visualization tools is preferred. Bachelor s Degree in Life Science (Biology, Medical Technology, Research Psychology, Math or Health Science) or equivalent experience in a related field. English: Fluent. Come as you are. Were proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Deevita is seeking a highly skilled and experienced Senior Data Analytics Engineer to join our team. This role involves building and maintaining robust data marts, developing scalable data models, and designing enterprise-grade data platform solutions. The ideal candidate will collaborate closely with cross-functional teams and play a key role in ensuring data accuracy, performance, and alignment with business goals. We are a team talented engineers, fun to work with, who is looking to make difference in Healthcare. Join us as we work together to revolutionize the future of pharma with the latest technologies and a collaborative, fast-paced work environment. Roles & Responsibilities: Design, build, and maintain data marts to support various business functions and carrier partners. Work closely with cross-functional stakeholders to define data modeling roadmaps . Collaborate with application/product teams to understand business logic and translate into efficient data models . Optimize SQL queries and data structures for performance and scalability. Develop and manage ETL pipelines using Azure Logic Apps, Power Platform, and Azure Data Factory . Ensure data accuracy, integrity, and consistency through rigorous validation and cleansing processes. Establish and enforce data modeling standards and best practices across teams. Maintain thorough and up-to-date data model documentation . Design and develop advanced Power BI visualizations , dashboards, and paginated reports. Create and maintain Power Platform applications (Power Apps, Power Automate) for internal use cases. Provide technical support and troubleshooting for Power BI dashboards and SQL-based solutions. Ensure data privacy, security, and compliance in collaboration with the IT team. Analyze business requirements and propose best-fit data architecture solutions . Work with the engineering team to ensure delivery and performance of solutions. Required Qualifications: 7-10 years of experience in designing and developing enterprise-grade data platform solutions involving SQL Server, Azure SQL Database, Power BI. Masters or Bachelors degree in Computer Science or Engineering fields. (BE/B.Tech/ M.E / M.Tech, MCA) Must have at least 7+ years of software development experience in SQL Server/ Azure SQL Database Must have at least 3+ years of software development experience in building data visualizations for business /enterprise customers using Power BI (Power BI Desktop, Power BI Report Builder, Power BI Service). Must have 1+ year of experience in building applications using Power Platform (Power Apps, Power Automate). Must have at least one Microsoft Certification in Power BI Must be hands-on, deeply technical and exposure to latest features within SQL Server, able to do both coding and guide group of junior/mid-level database engineers Must have excellent communication skills (English) to interface with US clients directly and verify in proficiency in all types of communication modes Listening, Reading, Writing and Speaking Must have strong experience in Performance Tuning / Optimization Initiatives using Healthcare, Pharma/Life science industry experience will be an added advantage Preferred Qualifications: Healthcare/Pharma/Life science industry experience will be an added advantage Azure Development using ADF, Data pipelines Benefits Industry Competitive Compensation package Exposure to work on advanced technologies and excellent career growth opportunities both technical and organization level Paid Time off (EL, SL, CL) , Health Insurance coverage Hybrid /Remote Work From Home

to join our front-end engineering team. The ideal candidate will have deep experience with Angular (v10+), strong TypeScript skills, and proven expertise in implementing complex data visualizations using well-known graph libraries (such as D3.js, Chart.js, ngx-charts, or Cytoscape.js). Key Responsibilities Design and develop responsive, high-performance UI components using Angular Build interactive dashboards and visualizations using graph libraries Optimize front-end code for performance and scalability Collaborate with UX designers, backend developers, and product managers Write clean, maintainable, and testable code Conduct code reviews and mentor junior developers Troubleshoot and resolve UI issues across browsers and devices Required Skills 5+ years of hands-on experience in Angular (v10 or above) and TypeScript Strong understanding of HTML5 , CSS3 , and RxJS Experience with graphing/data visualization libraries like D3.js, Chart.js, ngx-charts, or Cytoscape.js Familiarity with RESTful APIs and integrating front-end with backend services Good understanding of responsive design and cross-browser compatibility Experience with Git, Agile methodologies, and CI/CD workflows Good to Have Experience in performance tuning of Angular applications Familiarity with unit testing frameworks (Jasmine/Karma) Exposure to Figma or similar design tools Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. * Recaptcha requires verification. Im not a robot How can we help you ?

Name of the position: Data Engineer Location: Remote No. of resources needed: 01 Mode: Contract Years of experience: 5-7 Years Shift: UK shift Overview : We are seeking a skilled and results-driven Data Engineer with 5-7 years of experience to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will have hands-on expertise in AWS (including Redshift and Glue), Azure SQL Server, and data ingestion frameworks, along with strong SQL skills and experience with BI tools like Domo. Key Responsibilities: Design, develop, and optimize scalable data ingestion pipelines using AWS Glue and related AWS services. Build and manage data warehouses and data lakes on AWS Redshift, ensuring efficient storage and retrieval. Integrate data from various sources into Azure SQL Server and cloud environments. Write complex, efficient SQL queries for data extraction, transformation, and reporting. Collaborate with analysts and business stakeholders to deliver data solutions through Domo dashboards and reports. Ensure data quality, consistency, and governance across platforms. Monitor pipeline performance and troubleshoot issues to ensure reliability and scalability. Required Qualifications: 5-7 years of professional experience in Data Engineering or related roles. Strong hands-on experience with AWS services, particularly Redshift and Glue. Proficient in Azure SQL Server and advanced SQL querying techniques. Experience with end-to-end data ingestion, ETL/ELT development, and orchestration. Familiarity with BI tools, especially Domo, for dashboard development and data visualization. Ability to work independently and collaboratively in a fast-paced, cloud-native environment.

Key Responsibilities Data Analyst (Testing & Validation): 1. Perform end-to-end testing of ETL processes including data extraction, transformation, and loading across different data sources. Conduct data validation and reconciliation to ensure accuracy, completeness, and integrity of data across systems. Write and execute complex SQL queries to validate data quality and perform data analysis. Collaborate with developers, data engineers, and business analysts to understand data requirements and test cases. Design, document, and maintain test plans, test cases, and test scripts for data pipelines and BI reports. Identify and report data issues or anomalies , track defects, and verify resolutions through retesting. Use tools like Informatica, Talend, SSIS, or similar for ETL testing (based on tech stack). Ensure compliance with data governance, privacy, and quality standards during testing.

We re on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster. Our mission is to change the world but to do this, we need people like you. Apart from job satisfaction, we can offer you: YOURSELF Starting at 14 days holiday per year, rising to 22 days with increased service. In addition to public holidays Life Events, Service Awards, Company Outings HEALTH Medical plan Annual medical check WEALTH Social security and public housing fund Supplementary Housing Allowance Life assurance Critical illness cover Responsibility Supporting Activities Leadership and Team Management Leads, mentors and develops a clinical data management team through direct line management. Provides training on Data Management procedures. Provides training and monitors performance to ensure the team are operating at the highest level to design and deploy clinical databases for multiple clinical imaging studies. Manages team workload and prioritization for all assigned staff. Acts as resource manager for dedicated therapeutic area. Sets clear goals, providing regular feedback and fostering a collaborative team environment. Conducts one-on-one meetings. Mentors and ensures the team adheres to best practices and industry standards and facilitates positive career growth. Data Management Creates study Data Management Plans and deployment roadmaps. Oversees and participates in the design of study CRFs and databases utilizing eCRF library. Provides guidance as clinical database development subject matter expert. Monitors study timelines and communicates risk. Acts as sponsor portfolio lead representative. Oversees multiple concurrent projects. Facilitates study team involvement in database development. Utilizes metrics to monitor study health. Communicates with sponsors and internal leadership regarding study data processes, endpoints, and overall data management process. Process Oversight Creates and maintains Standard Operating Procedures. Provides guidance on Data Management best practices and regulatory considerations. Defines new procedures and solutions for novel therapeutics and study endpoints. Other Carries out any other reasonable duties as requested. Functional Competencies (Technical knowledge/Skills): Excellent demonstrable knowledge of regulatory guidelines and requirements for clinical data management. Displays excellent understanding of clinical trial data standards. Understanding of clinical trial processes, protocols, and regulatory requirements (e.g., FDA guidelines) related to data management. Excellent communication (oral and written) and interpersonal skills, to convey data-related information to technical and non-technical stakeholders (internal and external) including clients and research centres. Excellent analytical skills with attention to detail and the ability to identify data discrepancies and trends. Ability to manage multiple tasks and prioritize work in a fast-paced and deadline-driven environment, with the ability to raise potential issues with deliverables on time. Detail oriented and possess excellent organizational skills. Builds and maintains an up-to-date awareness of industry trends, best practices, and emerging technologies in data management for clinical research. Ability to work collaboratively within a matrix team environment. Ability to effectively motivate and guide team members towards shared goals. Natural coach/mentor who leads by example with an approachable demeanour and visible leader skills. A self-starter and able to work under own initiative. Strong analytical and creative problem-solving skills to identify issues and propose solutions. Displays technical project management skills and oversight. Ability to manage task creation and tracking via ticketing software. Demonstrates meticulous attention to detail, documentation and adherence to study protocols and standard operation procedures (SOPs). Behaviour Competencies: Accountability Adaptability Customer focus Robust Decision Making Time Management Analytical thinking Results orientation Conflict Management Business Acumen Developing direct reports and others Experience, Education, and Certifications: Significant demonstrable practical work experience in a clinical or technical setting. Line management experience. Demonstrable experience in team settings to achieve goals. Demonstrable experience and proficiency with clinical data management systems. Experience working with research support or clinical team. Proficiency in Microsoft Office Suite (Word, Excel (macros), PowerPoint) and data visualization tools is preferred. Bachelor s Degree in Life Science (Biology, Medical Technology, Research Psychology, Math or Health Science) or equivalent experience in a related field. English: Fluent. Come as you are. Were proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Job Description - Intern Competitive Intelligence ( LCCI ) About Lilly : At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our ~ 40,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We re looking for people who are determined to make life better for people around the world. About the job: Eli Lilly has a broad R&D portfolio. The compa n y s research wing is called Lilly Research Labs ( LRL ) . LRL R&D Strategy team gathers competitive information and provides analyses and insight on the competitive environment to: Enable LRL scientists and Project Teams to create innovative intellectual property that will result in products that are uniquely positioned to succeed in the marketplace. Enable LRL management to drive informed decisions on portfolio projects and therapeutic/functional strategies. This role is responsible for the identification of relevant and reliable competitive data/information and assimilating it quickly into useful formats for Competitive Intelligence partners and customers. The role requires to work with the global Competitive Insights & Analytics and LCCI CI team to provide competitive intelligence research and analysis to support Lilly s portfolio. Key Responsibilities (but not limited to) : Surveillance : Work s with the CI team in scouting the secondary data from open/subscribed sources and assimilate it quickly into useful formats for Competitive Intelligence partners and customers. Identify >90% of relevant news Ad-hoc Reports, Target Reports (TR), and Disease Landscapes (DL): Engages in thorough data scouting for ad-hoc reports, target reports, disease landscapes with the guidance from experience d team members in the team for the successful execution of projects. Conference coverage: Assists in creating conference agendas with the help of experienced team members and uploads conference content in a timely manner , ensuring that all materials are accessible and organized for stakeholders. IR Call Shadowing and Material Upload : Shadows experiences team members in Investor Relations (IR) calls coverage, and manages the upload of relevant materials to SharePoint, facilitating smooth access to information. Database updates : Regularly updates internal database s (target and disease landscapes) to help stakeholders access update d landscapes that lead to effective informed decision making Data visualization and interpretation : MS-office skills (MS-Excel, Word, and MS-PowerPoint). Possesses good analytical and data visualization skills using tools like Excel and PowerPoint, enabling clear and impactful presentation of information. Has good analytical/data interpretation skills. Domain understanding: Has a basic understanding of the drug development cycle, clinical trials, and the pharmaceutical industry, providing a foundation for informed decision-making and analysis. Attention to detail in every step of the capturing competitive intelligence data to ensure accurate , on time deliverables . Soft skills and other behavioural expectations: Demonstrates the ability to follow instructions precisely, effectively implementing tasks and utilizing tools to achieve desired outcomes. Upholds and exemplifies team Lillys values and expectations, fostering a collaborative and supportive work environment. Shows an inquisitive and engaged mindset, actively seeking to understand and contribute beyond immediate tasks . Ability to operate effectively in a global environment, with ability to work across time zones. Shows s trong work ethic, personal motivation, and team player who is dynamic and result oriented Good interpersonal and communication skills . Excellent written and verbal English skills. Educational Requirements: Bachelor or PG in Pharma /Life Sciences or Equivalent/Relevant Degree M.E/M.Sc/M.Tech Biotechnology with immunology and genetic engineering in the course syllabus preferred. Added bonus: Exposure to Intellectual property Rights . .

As a Research Specialist III You will be responsible for researching, verifying, and updating data for ZoomInfo's industry-leading sales intelligence platform. The right candidate for this role has an engaging personality, an eye for quality, and a drive to learn with us as we continue to improve the top-quality research processes that keep ZoomInfo ahead of our competition. What You'll Do: Data Research: Conduct thorough research to collect and validate company firmographic data, including details such as company size, industry classification, and location. Executive Contact Data: Gather and verify executive contact information, including names, titles, emails, and phone numbers, ensuring data accuracy Data Integrity: Maintain a high level of attention to detail to uphold data quality and consistency standards. Adhere to standards: Adhere to research protocols, privacy laws and maintain confidentiality to protect operations and ensure customer confidence Collaboration: Collaborate effectively with cross-functional teams to contribute to the improvement and growth of our sales intelligence database What You Bring Minimum 5 to 8 years of previous experience in a Data Research role Shift time & Overlap: 1 PM IST to 10 PM IST - At times there might be a overlap in working at PST time zones as required to align with project needs. Excellent understanding of company size, structure and location, classification of companies (industry, ownership type and business) and good understanding of corporate actions like mergers, acquisitions and parent-subsidiary relationships Ability to establish priorities and work independently with little supervision Experience working with spreadsheets, and the ability to analyze data tables and draw conclusions Attention to detail and numeracy abilities Maintain a high level of accuracy while balancing changes in workload This is a mandatory hybrid role (3 days Work from Office and 2 days Work from home) and general shift. Designation : Research Specialist III Location : Global Info City, Block A, 11th Floor, MGR Salai, Perungudi, Chennai Reporting to : Team Leader - Data Research .

Key Responsibilities Lead support for ACV (Annual Contract Value) analysis by gathering, validating, and analyzing related data to assist in accurate financial reporting and business insights. Assist in creation and supporting maintenance of PowerBI dashboards to deliver accurate and relevant business insights. Perform thorough data cleansing, validation, and reconciliation to maintain high data quality; proactively investigate and resolve discrepancies. Work closely with finance teams to ensure accurate data flow, timely reporting, and identify opportunities to enhance reporting efficiency and quality. Skills & Experience 3 to 5 years in data analysis, finance support, or related roles. Advanced Excel skills including pivot tables, formulas, and PowerQuery. Proficient in Power BI dashboard creation and data visualization. Knowledge of ACV and familiarity with US GAAP preferred. Strong attention to detail, problem-solving ability, and effective communication.

As a Manager, Fellowship Impact, on the Strategy and Impact team: Analyzes and reports students learning outcomes and Fellows inputs every reflective cycle to understand our impact in the short and long term. Facilitates learning loops with key stakeholders (eg: Regional, Training and Impact, Selection and Alumni teams and Senior Leadership team) to enhance their understanding of impact, drive data-driven goals, foster reflection, and inform program improvements. Designs tools and systems for ongoing M&E through the academic year and captures growth at different points in the year via dipstick assessment data tracking and representation, in collaboration with the Training and Impact team. Conceptualizes, pilots and collaborates with the Technology and Training & Impact teams to digitize M&E systems and processes related to the Fellowship program. Predicts and analyzes the strength of the program across multiple variables and contexts. As a Manager at Teach For India Contributing to the team goals and priorities beyond individual goals and priorities. Serving as an ambassador of the Teach For India brand and an advocate for our work and educational equity in our country through both internal and external communication after committing time in our classrooms to understand our work more deeply. Supporting key organizational areas such as Recruitment, Selection, Fundraising, Volunteering, and Movement Building.

Hi All, We are hiring of "Data Analyst" Profile for MNC, Company. Exp-1 Year Location- Only Kochi Location Work Mode- Work from Office (5.5 Days Working) Interview Mode- Face to face Notice Period- Immediate Mandatory Skills- Power BI Python SQL If Anyone interested please share your resume on below mail id- Priya.singhal@thehrsolutions.in Regards, Priya Singhal 9149003568

Job Title: Data Analyst Experience: 1 - 2 Years Location: Coimbatore Company: Astral Business Consulting LLP Division : Analytics and Automation We are looking for a Data Analyst with a strong foundation in Python and a basic understanding of technologies such as Power BI, Pandas, SQL, Machine Learning, and related frameworks. Roles & Responsibilities : Analyze large datasets to identify trends, patterns, and insights. Develop, test, and deploy machine learning models. Use tools and libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib for data analysis and visualization. Create dashboards and reports using tools like Power BI or Tableau. Collaborate with cross-functional teams to understand business problems and deliver data-driven solutions. Participate in code reviews and maintain clear, well-documented code. Continuously learn and stay updated with new technologies and techniques in data science. Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 1 to 2 years of experience as a Data Analyst or Data Scientist. Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, or any other front-end framework. Familiarity with Python Programming. Understanding of RESTful APIs and database concepts (POSTGRESQL & MYSQL). Familiarity with data analysis tools and libraries (e.g., Pandas, NumPy) and basic knowledge of Machine Learning frameworks. Strong problem-solving skills and a willingness to learn. Send your Resume: rajeshkumar.t@astralbusinessconsulting.com

Dashboard Developer and Database Management Experience with PowerBI / Tableau Experience with MySQL Experience with Good in Python

Responsibilities: * Create dashboards using Tableau software. * Develop data visualizations with Tableau tools. * Ensure compliance with company's reporting standards. * Prepare reports for stakeholders through Tableau Prep. Food allowance Health insurance Annual bonus Provident fund

Title: Data Analyst Intern Location: Chennai Duration: 6 months to 1 Year Internship, with possibility of employment based on performance Position Overview: We are looking for a highly motivated and detail-oriented Data Analyst Intern with an engineering background and a strong interest or academic exposure in accounting and finance. This internship offers an excellent opportunity to gain hands-on experience working with financial data and business intelligence tools to generate actionable insights that support strategic decision-making. The ideal candidate will demonstrate strong logical reasoning, data interpretation capabilities, and a solid grasp of financial principles. You will work closely with cross-functional teams including Finance, Business Intelligence, and Operations, contributing to the analysis, visualization, and reporting of financial and business performance metrics. Key Responsibilities: Extract, clean, and analyze large volumes of financial data to support business performance reviews. Interpret and understand financial statements, budgets, cost structures, and key accounting metrics. Assist in designing, building, and maintaining interactive dashboards and performance reports using Excel, Tableau, and Power BI. Develop visualizations to track KPIs, financial ratios, and business trends. Perform monthly and quarterly variance analyses comparing actuals against forecasts and budgets. Identify trends and patterns to assist in forecasting and planning activities. Ensure data accuracy, consistency, and integrity across reports and dashboards. Support in validating and reconciling financial data from multiple sources. Work alongside finance professionals and analysts to understand reporting requirements and deliver insightful outputs. Participate in internal review meetings and contribute with data-driven recommendations. Education: Pursuing or recently completed a Bachelors degree in Engineering. Academic exposure to Accounting, Financial Management, or Business Analytics is strongly preferred. Skills & Competencies: Basic understanding of accounting concepts such as P&L, balance sheets, cash flows, and financial ratios. Interest in corporate finance, budgeting, and financial reporting processes. Strong logical reasoning and quantitative analysis capabilities. Proficient in Microsoft Excel (formulas, pivot tables, charts, lookups). Working knowledge of Tableau or Power BI for visualization and reporting. Basic understanding of SQL or Python for data querying (optional, added advantage). Familiarity with ERP or financial systems (e.g., SAP, Oracle) is a plus. High attention to detail and commitment to data accuracy. Effective communication and collaboration skills. Proactive learner with a growth mindset. What Youll Gain: Exposure to real-world financial data and reporting frameworks. Experience in business intelligence tools and financial performance analysis. Opportunity to work in a collaborative, fast-paced environment with mentorship from experienced finance professionals. A stepping stone toward roles in FP&A, business analytics, or financial consulting.

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Team ManagementLead and manage a team of technical professionals – Data Engineer and Application Developers, ensuring effective collaboration and productivity.Client InteractionServe as the primary point of contact for clients, understanding their needs and ensuring successful project delivery.Status ReportingPrepare and present detailed status reports on ongoing projects to stakeholders, highlighting progress, risks, and mitigation plans.Issue ResolutionProactively identify and resolve any technical challenges or roadblocks faced by the team, ensuring smooth project execution.Project ManagementOversee the entire project lifecycle, from planning to execution, ensuring timely delivery within scope and budget. Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : In-depth knowledge of the Palantir Foundry platform, including data integration (Data Connections), Data Transformation (Code Repository & Pipeline Builder), analysis (Contour and Quiver), visualization (Workshop) and Ontology Manager. Must also have a good knowledge of Spark (PySpark) & TypeScript. Knowledge on AIP is an added advantage. Preferred Skills: Technology-Analytics - Packages-Python - Big Data Technology-Big Data - Data Processing-Spark