Data Insight Specialist
1 day ago
We're seeking a highly skilled and experienced Senior Data Analyst to join our data team. As a key member of the team, you will be responsible for analyzing large datasets, identifying patterns, trends, and anomalies using advanced SQL queries.
Our ideal candidate has 5+ years of experience in a data analyst or business intelligence role with strong proficiency in SQL, Python, and BigQuery. You should have hands-on experience working with cloud-based data warehouses and JSON data structures. In addition, you should have strong problem-solving skills, business acumen, and the ability to work effectively in a team environment.
Key Responsibilities:
- Design, develop, and maintain reports and data outputs that enable presentation of key business metrics.
- Write advanced SQL queries to analyze large datasets and identify patterns, trends, and anomalies.
- Use Python for more advanced analytics, automation, and data processing tasks.
- Work with BigQuery to build scalable analytical workflows in a cloud-based environment.
Benefits:
- Full-time position with limited travel requirements.
- Flexibility to operate in a global organization.
Required Skills and Qualifications:
- Strong proficiency in SQL (joins, CTEs, window functions, optimization techniques).
- Advanced skills in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus).
- Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn).
- Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures.
- Strong team player and desire to support work of team members to deliver outcome.
- Highly motivated, with strong problem-solving skills and business acumen.
Desirable Skills:
- Experience with data visualization tools (e.g., Looker, Tableau, Power BI).
- Familiarity with dbt, Airflow, or other modern data tools.
- Exposure to marketing or e-commerce industries.
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