Data Analyst II
3 days ago
Accountabilities:
- Data Analysis & Reporting
- Develop advanced SQL queries to combine and analyze data from Salesforce, financial systems, operational logs, and other sources.
- Design and maintain Tableau dashboards, providing clear visual insights for cross-functional stakeholders.
- Use Python for data wrangling, automation, and deeper statistical analyses when necessary.
- Collaboration & Stakeholder Engagement
- Work closely with sales, finance, operations, and product teams to gather requirements and deliver targeted analytics solutions.
- Present findings and recommendations in a clear, concise manner to both technical and non-technical audiences.
- Collaborate with data engineering teams to troubleshoot data quality issues and optimize data pipelines.
- Data Integrity & Process Optimization
- Ensure data accuracy and consistency across various reporting platforms, investigating discrepancies and proposing solutions.
- Continuously refine data models and analytical frameworks to support business growth and evolving needs.
- Maintain comprehensive documentation of analytics processes, methodologies, and dashboards for future reference.
- Continuous Improvement & Innovation
- Stay updated on industry best practices, emerging technologies, and new analytical tools.
- Identify opportunities for workflow automation, new data sources, and advanced analytical techniques to enhance overall efficiency.
- Support the data management team in both day-to-day operations and larger strategic initiatives.
- Proficiency in SQL for complex querying, data manipulation, and performance optimization.
- Advanced Tableau skills for creating user-friendly dashboards and visualizations.
- Working knowledge of Python, especially for data analysis (e.g., Pandas) and scripting.
- Familiarity with AWS services (e.g., S3, Redshift) or Databricks is a plus.
- Solid understanding of data modeling and ETL concepts.
- Ability to communicate insights effectively to both technical and non-technical stakeholders.
- Experience with Agile methodologies and collaborative tools is beneficial.
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Analytics)
- Minimum two years of experience in data analytics or a closely related field.
- Proven track record of developing impactful dashboards and data solutions in Tableau.
- Strong SQL skills, with exposure to large datasets and complex joins/aggregations.
- Python programming experience for scripting, automation, or advanced analytics.
- Demonstrated ability to work in cross-functional teams and translate data insights into strategic recommendations.
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