Quick overview
Job description
#LI-DNI
Essential Functions and Primary Duties
- Interpret results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
- Complete the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
- Use statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
- Develop and maintain dashboards, reports, and visualizations to communicate data findings effectively
- Identify KPIs and develops metrics to track and measure business performance
- Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
- Maintain expertise in industry trends, emerging technologies, and best practices related to data analytics, business intelligence, visualization, and reporting.
- Gather, cleanse, transform, and integrate data from multiple internal and external sources while maintaining data integrity and governance standards.
- Design, develop, and maintain dashboards, reports, and visualizations that effectively communicate insights to technical and business stakeholders
- Translate complex analytical findings into clear, concise, and actionable business recommendations for audiences at all organizational levels.
- Build scalable tableau reporting using parameters, actions, filters, LODs, drilldowns and interactive visualizations.
- Develop and maintain Tableau Prep workflows to automate data cleansing, transformation, integration, and preparation of data from multiple sources
- Communicate effectively to convey complex data findings to both technical and business executives
- Other duties as assigned.
Preferred Qualifications
- Experience with programming languages such as SQL, Python scripting, and Power Query for data manipulation and analysis
- Experience using REST APIs integrations, and automation of data extraction and transformation workflows.
- Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
- Experience developing and maintaining dashboards and reports using Tableau, Power BI, and Microsoft Excel, or comparable business intelligence platforms.
- Proven experience with ServiceNow and Snowflake or Data Lake for data retrieval and extraction
- ServiceNow Incident and Operational analytics including performance metrics.
Minimum Qualifications
Bachelor's degree in data science, statistics, mathematics, information science or related field plus three (3) years of experience as a data analyst, data scientist, BI analyst, or related profession OR a combination of education and experience equal to seven (7) years.
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