Remote Data Analyst
SwoopedAbout Our Client
Our client is a B2B SaaS entity focused on developing software solutions for automotive dealers in the United States. The mission is to enhance customer experiences in automotive care by providing elegant solutions that allow consumers to manage vehicle repairs without leaving home or work. This fast-paced environment tackles complex problems under tight deadlines. Though a dispersed team, there are quarterly in-person gatherings to maintain a strong company culture. The established leadership team boasts a track record of rapidly scaling high-value companies while rewarding employees with equity returns and competitive salaries, along with comprehensive benefits.
About The Role
This role demands the capability to manage routine individual tasks and exhibit small unit leadership, all within a team that has clear goals. A passionate and certified Data Analyst is desired. The ideal candidate will transform data into information, information into insight, and insight into business decisions. Responsibilities include conducting comprehensive lifecycle analysis, encompassing requirements, activities, and design. The Data Analyst will also develop analytics and reporting capabilities while monitoring performance and quality control plans for ongoing improvements.
This position is crucial to the success of automotive dealership partners. Through the dedication and expertise of the Data Analyst, the industry will see safer used cars on the road, revenue growth for customers, and effective solutions to complex automotive challenges.
Responsibilities
- Data Pipeline Management: Supervise the complete data lifecycle, from ingestion and transformation to storage and distribution, ensuring data quality and integrity throughout.
- ETL Development: Design, build, and maintain efficient ETL processes to extract, transform, and load data from various sources into the data warehouse or data lake, while optimizing for performance.
- Data Analysis and Insights: Perform thorough analysis of complex datasets to identify trends, patterns, and anomalies. Convert data into actionable insights and strategic recommendations for business decisions.
- Data Visualization: Develop engaging and interactive data visualizations using Tableau to communicate intricate data narratives effectively to stakeholders at all levels.
- Collaboration and Communication: Engage closely with cross-functional teams to decipher business needs and translate them into practical data solutions while communicating technical information to both technical and non-technical audiences.
Skills
- Data Management & ETL: Proficient in SQL for data extraction and manipulation, with a solid grasp of ETL processes and tools for efficient data transformation.
- Data Analysis: Advanced statistical analysis capabilities to identify insights and trends, with experience in data cleaning, validation, and normalization techniques.
- Data Visualization: Expertise in Tableau for crafting interactive and informative dashboards to represent complex data clearly and engagingly.
- Programming: Proficiency in at least one programming language (Python, R) for data manipulation, analysis, and automation tasks.
- Problem Solving: Strong analytical and problem-solving skills to develop data-driven solutions and insightful recommendations.
Benefits
Employee satisfaction is highly valued. The commitment to success is reinforced by a competitive compensation and benefits package, including paid time off, medical, dental, vision, equity benefits, and potential for future growth opportunities. The aim is to foster the best possible work environment where individuals can learn and thrive. Collaboration and creativity are encouraged to ensure contributions to processes, decisions, planning, and culture are welcomed.
Benefits Extracted with AI
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- Equity benefits
- Growth opportunities
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