Overview
On Site
Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Skills
Databricks
Snowflake
Python
AI/ML platforms
SQL
Job Details
Duration: 6 Months
Location: Bay Area, CA Mondays and Tuesdays onsite
Our client is seeking a highly skilled and experienced Senior Data Analyst to join their growing team as they leverage data-driven insights to optimize their operations.
Technical Qualifications:
- Proven experience as a Data Analyst or similar role, preferably in the oil and gas industry.
- Strong knowledge of data analysis tools and programming languages (e.g., Python, SQL, R) to extract, clean, manipulate, and analyze large datasets.
- Proficiency in data visualization tools such as Power BI/Tableau to create meaningful and insightful reports and dashboards.
- Experience with database systems (e.g., Databricks, Snowflake, BQ, Oracle, Microsoft SQL Server) and cloud data warehousing concepts.
- Excellent problem-solving skills with a keen eye for detail and ability to see the bigger picture.
- Experience with Automation and Understanding of AI/ML platforms and data requirements to facilitate development of AI/ML models
- Strong communication and interpersonal skills, with the ability to effectively collaborate with and present findings to technical and non-technical stakeholders.
- Demonstrated leadership skills, with the ability to mentor and guide a team of analysts.
- Strong organizational skills and ability to manage multiple projects simultaneously.
- Stay up-to-date with the latest advancements and best practices in data analysis, data management, and data visualization techniques.
Key Responsibilities:
- Play a crucial, lead role in departmental/company data analytics efforts.
- Collaborate closely with cross-functional teams, including Finance, Sales Operations, and Engineering, to identify business needs and establish data analysis requirements.
- Design and implement data collection, integration, and retention strategies to ensure reliable and high-quality datasets.
- Develop, maintain, and enhance data models, algorithms, and statistical models to extract insights and forecast key business metrics.
- Analyze complex datasets using advanced statistical techniques and data visualization tools to identify trends, patterns, and correlations.
- Present analytical findings and recommendations to key stakeholders, including senior management, in a clear and concise manner.
- Drive the deployment of analytical solutions and tools, providing support and training to end-users for effective utilization.