Data Analyst | Network Solutions
About The Position
The Data Analyst interprets and analyzes data from multiple internal and external sources, maintaining data integrity, quality, and governance standards. The role uses statistical methods to identify patterns, trends, correlations, and anomalies, then translates findings into clear and actionable business recommendations for technical and business stakeholders at all organizational levels. The position develops and maintains reports, dashboards, and visualizations, including scalable Tableau reporting with parameters, actions, filters, level-of-detail calculations, drilldowns, and interactive visualizations. It also develops and maintains Tableau Prep workflows to automate data cleansing, transformation, integration, and preparation. The Data Analyst collaborates with data engineers and IT professionals to improve data collection, storage, and retrieval, identifies KPIs and performance metrics, and stays current with analytics, business intelligence, visualization, and reporting practices.
Requirements
- Bachelor's degree in data science, statistics, mathematics, information science, or a related field, plus three years of experience as a data analyst, data scientist, BI analyst, or in a related profession; alternatively, a combination of education and experience equal to seven years.
Nice To Haves
- Experience with SQL, Python scripting, and Power Query for data manipulation and analysis.
- Experience with REST API integrations and automation of data extraction and transformation workflows.
- Knowledge of descriptive and inferential statistical analysis techniques and concepts.
- Experience developing and maintaining dashboards and reports with Tableau, Power BI, Microsoft Excel, or comparable business intelligence platforms.
- Proven experience with ServiceNow and Snowflake or a Data Lake for data retrieval and extraction.
- Experience with ServiceNow incident and operational analytics, including performance metrics.
Responsibilities
- Interpret results using techniques ranging from simple data aggregation to complex statistical analysis.
- Gather and clean data from various sources while ensuring data integrity and quality.
- Apply statistical methods to identify patterns, trends, correlations, and anomalies and extract meaningful insights.
- Develop and maintain dashboards, reports, and visualizations to communicate findings to technical and business stakeholders.
- Identify KPIs and develop 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 internal and external sources while maintaining data integrity and governance standards.
- Translate complex analytical findings into clear, concise, 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 data preparation.
- Communicate complex data findings effectively to technical and business executives.
- Perform other duties as assigned.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
