Preferred Education:
* Bachelors degree in a quantitative field (finance mathematics economics statistics computer science electrical engineering physics Marketing Information Systems (MKIS) etc.) or equivalent experience
Required Qualifications:
* Strong analytical skills and expertise moving from business questions through raw data to answers insights and recommendations
* Experience translating marketer questions into technical analysis developing clear data-founded storytelling around actionable insights for both technical and non-technical stakeholders
* Deep hands-on technical knowledge with SQL including query creation performance optimization and complex joins of large data sets
* Visually attractive and functionally efficient executive dashboard design and optimization in Tableau and/or Power BI
* Experience working with large and complex datasets
* 2-6 years of relevant work experience or equivalent experience in management consulting
* Experience within high tech software and/or wireless/telecom industry is highly desired
* Proactive and anticipatory problem solver
* Excellent communication and collaboration skills (written and verbal)
* Experience with executive storytelling presentations.
Desired Skills & Experience:
* Experience in Snowflake and GitHub
* Prompt engineering in an analytics context
* Experience with hypothesis testing experimentation A/B test analytics multivariate testing and statistical significance
* Identity graph experience
Role:
This role is at the frontline of the Marketing and Growth Organization supporting campaign analytics and reporting for Business products and portfolios. The ideal candidate will have experience across the full spectrum of business analytics including problem identification data sourcing/wrangling query development data exploration data visualization and campaign performance optimization recommendations & hypothesis-testing with hands-on data analysis and strategic thinking skills.
Data Analyst Responsibilities:
1) Conducting full lifecycle analysis to include requirements activities and design.
2) Data Analysts will develop analysis and reporting capabilities.
3) Monitor performance and quality control plans to identify improvements.
4) Ability to turn project requirements into custom-formatted data reports.
5) Able to complete life cycle data generation and outline critical information for each Project Manager.
6) Able to analyze business procedures and recommend specific types of data that can be used to improve upon them.
7) Create a prioritized list of needs for each business segment and area of focus.
8) Identify and recommend new ways to save money by streamlining processes.
9) Work with managers to outline the specific data needs for the business method analysis project.
*Note: The manager needs a hands-on Data Analyst with strong SQL and Tableau/Power BI skills the ability to handle large datasets and storytelling skills to communicate insights to executives.