Senior Data Analyst

Department: Product & Engineering

Employment Type: Full Time

Location: Remote

Compensation: $110,000 - $175,000 / year

Description

Spark is looking to bring on a founding Data Analyst to join our growing team. Historically, the industry has had a lack of transparency, however, Spark is on a mission to change that and you can be a key part of the change by helping wrangle, structure and draw insights from a variety of data sources. 
In this role, you will be responsible for data analytics projects and initiatives from supporting product and engineering feature development, to participating in monthly analysis of our company’s business fundamentals, to helping organizations throughout the company make more data-driven decisions. You will be responsible for data analysis and insights, turning complex and sometimes unruly datasets into coherent, actionable information. Reporting to the Head of Engineering, you will collaborate closely with engineering teams, data operations, finance and company leadership to support our tech-enabled brokerage's strategic goals.

What you’ll do

• Synthesize complex datasets to provide clear, actionable insights using advanced SQL queries and Python analysis.
• Develop, maintain, and optimize Metabase dashboards, ensuring they evolve with our business and remain a reliable source of business intelligence.
• Engage in strategic data projects, working independently to structure and analyze data for scalable business solutions.
• Collaborate with cross-functional teams to enhance our data infrastructure, addressing the unique challenges of non-standardized and messy data.
• Contribute to Spark's journey toward becoming a data-driven organization by supporting long-term data strategy initiatives.
• Act as a steward of data quality and integrity, continuously seeking to improve data processes and methodologies.

What we’re looking for

• A strong background in SQL and Python, with a particular emphasis on data manipulation and analysis using libraries such as Pandas and tools like Jupyter Notebooks.
• Proficiency in data visualization and the creation of intuitive dashboards, preferably with experience in BI tools similar to Metabase or Mode.
• Demonstrated ability to manage complex projects, with a knack for navigating through messy and non-standardized data.
• Someone who thrives in a collaborative environment, with a proven track record of working effectively with both technical and non-technical team members.
• A strategic thinker who is not just technically proficient but also deeply curious about the business implications of data.
• Superb communication skills, capable of translating complex data into understandable and actionable insights.
• (nice to have) Experience with ETL processes and familiarity with data modeling and tools like Airflow.
• (nice to have) A history of working in fast-paced, tech-driven environments where learning and adaptation are constant.

What you'll get

• The base salary range for this role is $110,000 - $175,000* 
• Equity compensation
• Health care, including dental and vision through our PEO Sequoia
• Flexible work location; co-working available
• Workspace budget
• An engaged, supportive and growth-oriented team environment

* - Spark is committed to fair and equitable compensation practices. Spark salary ranges are dependent on a variety of factors, including qualifications, experience, and geographic location.