Data Visualization Analyst (Power BI & ServiceNow)

Required skills & experience- Education Bachelor's or Master's degree in Data Science, Computer Science, or a related field preferred, or equivalent experience. Certifications ITIL certification(s) preferred but not required. Certification in data visualization tools (e.g., Tableau Certified Professional, Microsoft Certified: Data Analyst Associate) is a plus. Microsoft-related certifications (e.g., Power BI, SQL Server) are a plus. Experience 5 to 8 years of relevant business experience in reporting, data analysis, or a similar area. Senior-level, proven experience with Power BI and Microsoft SQL Server. Experience working with large, complex datasets in a fast-paced environment. Experience in a technology industry with relevant domain knowledge preferred. Technical Skills Power BI & BI Tools: Advanced Power BI expertise including Power Query/M, DAX, data modeling, composite models, incremental refresh, RLS, deployment pipelines, and paginated reports; proficiency with Tableau, ServiceNow, and other business intelligence and visualization platforms. Data Modeling & Architecture: Ability to design and implement robust semantic models (star/snowflake schemas) and calculation layers; strong familiarity with relational (SQL, Oracle) and non-relational databases, data warehousing concepts, and BigQuery. SQL & Data Engineering: Strong SQL development skills including T-SQL, stored procedures, and complex queries for data extraction and manipulation; experience with data gathering, cleaning, transformation, and integration across disparate sources. Data Analysis & Quality: Proven ability to work with large, complex datasets; experienced in data governance, validation, QA/troubleshooting, and applied statistical analysis and modeling techniques. Visualization & Design: Expert in data visualization techniques and dashboard design with a strong visual design sensibility — including layout, typography, color theory, and interaction design; familiarity with Adobe tools a plus. Microsoft Office Suite: Proficient in Excel (advanced analysis and reporting), Word, and PowerPoint. Programming: Experience with Python, R, or other scripting languages for data analysis (plus). Soft Skills Communication: Excellent written and verbal communication in US English, including the ability to present complex findings to non-technical stakeholders and distill data into concise, clear takeaways. Analytical Mindset: Strong problem-solving skills and an innate drive to dig into data, identify patterns, and translate findings into actionable recommendations. Collaboration & Independence: Equally comfortable working autonomously or within distributed, matrixed teams; confident in proposing innovative solutions while remaining receptive to feedback. Adaptability: Thrives in fast-paced, evolving environments; approaches shifting priorities and project scope with flexibility and creativity. Attention to Detail & Accountability: Meticulous attention to detail, strong commitment to data accuracy, and proven ability to manage multiple priorities while consistently meeting deadlines. WWT Values: Demonstrates alignment with WWT's Core Values as outlined in THE PATH. Nice-to-Have Skills Familiarity with MSPs, ITIL-based customer service ticketing systems, or RMM platforms. Experience with Smartsheet, API integrations, or Boomi. Experience with Salesforce. Work Expectations Align to US business hours with flexibility to meet team needs. Collaborate closely with a distributed, matrixed team, maintaining frequent communication and updates. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Heath, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, PF Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Day of Caring for social responsibility, Bereavement World Wide Technology is an Equal Opportunity Employer. #LI-RB1 Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. WWT has grown in India over the last few years to 300+ employees, increasing its footprints in major cities including Mumbai, Bengaluru, Hyderabad, Gurgaon & Pune. WWT India is ranked 8 th by Great Place to Work® for 2025 in mid-sized category and in Top 25 by India’s Best Workplaces for Culture of Innovation 2025. Job Summary The Business & Data Visualization Analyst will play a critical role role within WWT's Managed Services organization, Day 2 Operational Services, responsible for transforming complex data into clear, actionable insights that drive strategic decision-making across the organization. This position owns the design, development, and maintenance of interactive dashboards and reports — primarily in Power BI — while also working closely with databases to build, manipulate, and optimize queries and data structures. The ideal candidate brings deep technical expertise in data visualization and SQL, pairs it with strong analytical and communication skills, and thrives in a fast-paced, collaborative environment where requirements evolve quickly. Success in this role requires the ability to engage stakeholders at all levels, translate business needs into meaningful data products, and deliver with both speed and precision. Job Responsibilities: Design, develop, and maintain interactive dashboards and reports using visualization tools (e.g., Tableau, Power BI, ServiceNow, Excel, Smartsheet), including building data models, creating charts and infographics, and optimizing performance. Partner with executives, leadership, and business stakeholders to gather requirements, define KPIs, and translate complex datasets into clear, actionable insights that support strategic decision-making. Analyze business data to identify trends, patterns, and opportunities; perform exploratory data analysis (EDA) and structure large datasets to surface usable information and gaps. Design and implement SQL queries, stored procedures, and data transformations in Microsoft SQL Server; manage data sources within the data warehouse and organize into tables and views for efficient retrieval and analysis. Integrate and transform disparate data sources, applying appropriate data hygiene techniques; perform reconciliation and validation across multiple sources and warehouses to ensure data accuracy and reliability. Troubleshoot data inconsistencies and performance issues, delivering timely solutions while maintaining ongoing data quality through regular validation checks. Document visualization processes, methodologies, and best practices; provide training and support to business users on interpreting and interacting with data products. Stay current with industry trends and emerging tools; contribute to data strategy by recommending best practices for data management and visualization. Thrive in a fast-paced, remote environment — balancing multiple priorities, meeting deadlines, and maintaining a self-starter mindset with openness to feedback and evolving direction.