31 Visualizations Jobs - Page 2

Exp in dashboard story development, dashboard creation, and data engineering pipelines. Manage and organize large volumes of application log data using Google Big Query Exp with log analytics, user engagement metrics, and product performance metrics Required Candidate profile Exp with tool like Tableau Power BI, or ThoughtSpot AI . Understand log data generated by Python-based applications. Ensure data integrity, consistency, and accessibility for analytical purposes.

Work with Azure Data Lake and Azure Data Factory to design, implement, and manage data pipelines. Connect various data sources (applications, databases, etc.) to the Azure Data Lake for storage and processing. Write PiSpark SQL codes and SSIS packages for data retrieval and transformation from different data sources. Design and develop efficient Data Architecture and Data Modeling solutions to support business requirements. Create data visualizations to communicate insights to stakeholders and decision-makers. Optimize data workflows and pipelines for better performance and scalability. Collaborate with cross-functional teams to ensure seamless data integration and delivery. Ensure data integrity, security, and compliance with best practices. Skills and Qualifications : 2+ years of experience working with Azure Data Lake, Azure Data Factory, and related Azure services. Proficiency in writing PiSpark SQL codes for data extraction and transformation. Experience in developing SSIS packages for data integration and automation. Strong understanding of Data Architecture and Data Modeling concepts. Experience in creating effective and insightful data visualizations using tools like Power BI or similar. Familiarity with cloud-based storage and computing concepts and best practices. Strong problem-solving skills with an ability to troubleshoot and optimize data workflows. Ability to collaborate effectively in a team environment and communicate with stakeholders. Preferred Qualifications : Certifications in Azure (e.g., Azure Data Engineer or similar) would be a plus. Experience with other Azure tools like Azure Synapse, Databricks, etc.

Key Responsibilities: ServiceNow Catalog Management Design, develop, and maintain ServiceNow catalogs. Platform Analytics & Reporting Work on KPI libraries, visualizations, CMS reporting, and custom dashboards. CMDB & Change Management Ensure effective change tracking and incident management. Flow & Business Rules Configure flow designers, subflows, custom workflows, ACLs, and business rules. Incident & Problem Management Handle ServiceNow incidents, problems, and escalations. Code Migration & Email Automation Manage ServiceNow code migration and set up automated email generation. Required Skills: ServiceNow Certified (Preferred) Hands-on expertise with ServiceNow administration and development. Dashboard & Report Configuration Experience in KPI dashboards, reporting, CMS reports. CMDB & ITSM Modules Strong knowledge of Configuration Management Database (CMDB), Change Management, Incident & Problem Management. Flow Designer & Business Rules Ability to create custom workflows, subflows, ACL configurations. Email & Automation Experience with email notifications, triggers, and automated reporting.

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models.Within Operations, our Sales Operations Transformation team is rapidly expanding. What are we looking for Strong background in Sales Operations, CRM data, and sales process optimization. Proven experience in data analytics, data science, and business intelligence. Proven experience in leading teams that deliver both advanced statistical models and interactive dashboards. Deep understanding of Python (Pandas, NumPy, Scikit-learn) for data modeling and analytics. Strong command over Power Query, Power Pivot, Power BI and BI architecture for visual storytelling and dashboarding. Hands-on experience with SQL, data management, and data modeling practices. Excellent stakeholder management and communication skills. Experience working with global, cross-functional teams. Proficiency in Microsoft Excel for data analysis and reporting. Experience in driving transformation initiatives through automation and advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), and systems integration. Roles and Responsibilities: Lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. Align team objectives with Sales Excellence and Sales Transformation strategy Drive solution design, data strategy, and execution across data science and BI tracks. Oversee solution scalability, reusability, and integration into business processes. Manage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers. Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Oversee capacity planning and work allocation. Collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Ensure strong communication of findings, models, and visualizations through effective storytelling. Ensure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards. Review and validate model outcomes, dashboards, and visual designs. Encourage adoption of best practices in code management, versioning, and model documentation. Ensure data quality, governance, and secure access across platforms. Qualification Any Graduation

Exp in dashboard story development, dashboard creation, and data engineering pipelines. Manage and organize large volumes of application log data using Google Big Query Exp with log analytics, user engagement metrics, and product performance metrics Required Candidate profile Exp with tool like Tableau Power BI, or ThoughtSpot AI . Understand log data generated by Python-based applications. Ensure data integrity, consistency, and accessibility for analytical purposes.

Key Responsibilities: • Design, develop, and deploy Qlik Sense dashboards and visualizations based on business requirements • Create data models and ETL scripts to integrate data from SQL databases, Snowflake, and Excel • Collaborate with business users to understand data sources and reporting needs • Build dynamic and interactive visualizations to track KPIs and financial metrics • Utilize Qlik NPrinting for report generation and distribution • Optimize dashboard performance and ensure data accuracy • Work closely with teams across departments to support on-demand dashboard needs Preferred candidate profile : Required Skills & Experience: • 3 to 6 years of hands-on experience in Qlik Sense development • Strong knowledge of Qlik scripting, data modeling, and set analysis • Experience integrating data from in-house SQL databases, Snowflake, and Excel • Proficient in Qlik NPrinting for automated reporting • Prior experience in the financial industry or understanding of financial terminology and KPIs • Strong analytical and problem-solving skills • Ability to work in a fast-paced, demand-driven environment Nice to Have: • Exposure to Agile environments • Knowledge of security implementation (Section Access) in Qlik • Familiarity with other BI tools (e.g., Power BI, Tableau) is a plus