AI Native, Sr. Strategic Analyst
Workable workplace: remote Workable remote: True Workable locations: United States Location: United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 2-4 years of experience
- Required Skills
- PythonSQLArtificial IntelligenceBusiness IntelligenceData AnalysisData MiningMicrosoft Power BITableauAnalytical SkillsMicrosoft ExcelProblem-solving skillsData visualizationGenerative AI
Requirements
- Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field.
- 2-4 years of experience in data analysis, business intelligence, or a related role.
- Industry experience is beneficial
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills.
- Understanding of data warehouse and data mining, a plus
- Familiarity with BI technologies (e.g. Microsoft Power BI, Qlik)
- Knowledge of SQL is required and Python is a plus
- Proven abilities to take initiative and be innovative
- Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
- Demonstrated ability to leverage AI and generative AI tools (e.g., ChatGPT, Claude, CoPilot) to accelerate analysis, automate workflows, and surface actionable insights.
Responsibilities
- Help power the growth of ConsumerAffairs by delivering analytical support across our sales and marketing organizations.
- Leverage advanced tools (including generative AI) to streamline insights, automate reporting, and uncover new opportunities to optimize business performance.
- Perform ad hoc and recurring analyses that inform decision-making across marketing campaigns, channel performance, pricing, lead gen, and partner growth.
- Provide analysis and insights for lifecycle and product teams to help drive the business forward, including business cases and scenario modeling for key initiatives.
- Build presentation-ready deliverables summarizing key insights, trends, and recommendations.
- Support leadership in preparing materials for partner meetings and internal reviews.
- Develop a deep understanding of the lifecycle and product pipeline, including core audience segmentation and event-level data.
- Conduct ongoing data analysis to identify when key functionality is not performing as intended and proactively flag or escalate issues.
- Develop and maintain recurring dashboards and reports used by sales, marketing, and leadership.
- Use AI tools (e.g., ChatGPT, CoPilot, Tableau GPT, etc., Claude, Cursor) to automate repetitive reporting workflows and assist with quick data exploration.
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