
Data Insights Specialist
1 week ago
Job Summary:
- This is a critical role that drives business outcomes through data-driven insights.
About the Role:
We are seeking an experienced Data Analyst to join our team. As a Data Analyst, you will play a key part in identifying trends, patterns, and relationships within our data.
You will work closely with cross-functional teams to maintain the integrity of automated reports, design, implement, and analyze experiments to optimize opportunities across channels.
In this role, you will also be responsible for identifying top-performing customer segments for targeted marketing strategies, creating dashboards and reports for informed decision-making, and evaluating trends for performance and opportunities.
To succeed in this position, you should have strong analytical and quantitative skills with attention to detail. A Bachelor's degree in Mathematics, Statistics, or a related field is required, along with 3+ years of experience with Tableau.
A Tableau Qualified Associate Certification is preferred, as is experience with SQL, Postgres, and RedShift. High proficiency in Excel modeling, data mining, and scenario analysis is also essential.
Key Responsibilities:
- Analyze large datasets to identify trends, patterns, and relationships.
- Maintain the integrity of automated reports by ensuring data quality and accuracy.
- Design, implement, and analyze experiments to optimize opportunities across channels.
- Identify top-performing customer segments for targeted marketing strategies.
- Create dashboards and reports for informed decision-making.
- Evaluate trends for performance and opportunities.
- Establish instrumentation and reporting standards with cross-functional teams.
- Communicate actionable data insights effectively.
- Manage delivery of scheduled and ad-hoc reports.
Requirements:
- Bachelor's degree in Mathematics, Statistics, or a related field.
- 3+ years of experience with Tableau.
- Tableau Qualified Associate Certification preferred.
- Experience with SQL, Postgres, and RedShift a plus.
- High proficiency in Excel modeling, data mining, and scenario analysis.
- Strong analytical and quantitative skills with attention to detail.
- Self-motivated with excellent communication and interpersonal skills.
- Ability to thrive in a fast-paced environment.
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