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Data Analyst (Business Intelligence), Support
Company | Cisco Meraki |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Computer Networking Products |
Expires | 2023-07-26 |
Posted at | 10 months ago |
At Cisco Meraki, we know that technology can connect us, empower us, and drive us. By simplifying powerful technology we can free passionate people to focus on their mission. As the fastest growing cloud-managed networking team in the world, our products and technology architecture are changing the face of enterprise networking and making cloud-managed IT a reality.
- Discovering the contributing factors to an unexpected rise in daily cases/calls.
- Scoping the requirements of a new analysis request with sharp questions that cut to core of the problem and the potential value.
- Creating a powerful dashboard from disparate sources that shines new light on opportunities to simplify a Support process.
- Extracting, transforming, and loading (ETL) raw data to quickly and effectively iterate through questions.
- Divide complex analysis projects into manageable parts and devise delivery plans.
- Lead high-impact analysis efforts that serve to improve day-to-day operations and long-term strategy for Support.
- Deliver polished communications that are the source of truth for project status and findings to inform a wide variety of business collaborators.
- Work multi-functionally with our Data Infrastructure, Strategy, Business Systems, and Engineering teams to achieve novel data sets and reporting.
- Enable business partners to self-service their data needs through documentation and templated reports/dashboards.
- For example: agent, phone, and case activity baselining and trending.
- Independently uncover high-value targets for operational process improvement by analyzing trends in Support data.
- Forecast key metrics and associated trends and provide practical suggestions to leadership.
- Build custom data sets, reports, and dashboards for Support-related metrics.
- Proactively maintain data integrity and quality by investigating anomalous reports, trends, and metrics.
- Explore new tools and standard methodologies in data analysis.
- Find the intersection between your personal development interests and our business needs to identify side projects.
- Stay well-versed in our internal Salesforce and Data Infrastructure ecosystems.
- Grow your technical skills by completing classes from our robust learning catalog.
- 2 years of experience in enterprise-level data analysis and reporting tools:
- Project management skills with the ability to quickly react to changing priorities and deadlines.
- MicroStrategy and Google Analytics
- SQL and/or Salesforce SOQL
- 2+ years of experience working with data from the Salesforce platform.
- Experience working in and alongside Agile software development lifecycles and practices.
- Relevant Salesforce certifications and/or Trailhead badges are a big plus
- Process engineering experience is a plus.
- Bachelor's degree in Computer Science, Information Technology or related technical field.
- R and/or Python
- Presentation and communications experience with executive-level audiences.
- Tag Manager experience is a plus
- Examples of analysis work spanning multiple teams (Product, UX, Support, Engineering, etc.).
- Prior experience with Support or Service organizations is a big plus.
- Salesforce Einstein Analytics, Snowflake, and/or Tableau
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