Senior Data Analyst
New
S
Scorpion Enterprises, LLCMarketing Technology
Remote - United StatesFull-TimeSenior
Salary$100,000 (entry-level) - $110,000 (highly experienced)
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Job Details
- Experience
- 4+ years of experience in data analytics, digital marketing, product development, or a related field
- Required Skills
- SQLData AnalysisGoogle AnalyticsTableauSEMrushAhrefs
Requirements
- Bachelor's degree in Marketing, Business, Data Analytics, Communications, or a related field; STEM degree a plus
- 4+ years of experience in data analytics, digital marketing, product development, or a related field
- Strong emphasis on data mining to inform product decisions
- Experience working with large datasets and translating data into actionable insights
- Intermediate experience with SQL
- Experience with data visualization tools such as Tableau or similar
- Familiarity with tools like Google Analytics GA4, Google Search Console, SEMrush, Ahrefs, Moz, BrightLocal, or similar
- Strong analytical and problem solving skills
- Clear and effective communication both written and verbal
- Ability to work independently and manage multiple priorities
- Attention to detail with a focus on data accuracy and consistency
Responsibilities
- Analyze performance data across a large and diverse client portfolio to identify trends, patterns, and opportunities
- Own and evolve portfolio level performance reporting, including dashboards and scorecards
- Build and maintain benchmarking frameworks to compare performance across key verticals
- Define and standardize KPIs to ensure consistency across teams
- Evaluate the effectiveness of strategies and product capabilities, identifying what drives the strongest outcomes
- Conduct post launch analyses for product and strategy updates impacting performance
- Support emerging areas like AI driven search such as AI assisted search visibility, entity coverage, and local signals as measurement capabilities evolve
- Partner with Product, Data, and Engineering teams to improve data quality and expand access to meaningful signals
- Translate complex data into clear narratives and recommendations for both technical and non technical stakeholders
- Proactively surface insights and opportunities that influence product direction and business strategy
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