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At Solace, data is at the core of how we operate. We are a rapidly scaling startup where we work hard, move fast, and wear many hats. We are looking for a Data Analyst who thrives in this high-growth environment and excels at transforming data into actionable insights and operational improvements. In this role, you will be a strategic partner to the business, helping us close critical gaps in our understanding of performance and efficiency. You will build the systems that help us ask better questions and figure out key insights for the path forward. As part of a collaborative and expanding team, your contributions will directly influence how we scale, optimize our workflows, and allocate resources efficiently across the company.
Job Responsibility:
Drive Operational Excellence: Proactively identify bottlenecks and inefficiencies in our processes
serve as the bridge between raw data and business strategy, transforming complex datasets into actionable insights and operational improvements that drive the business forward
Build Scalable Analytics: Design, implement, and maintain tracking systems and dashboards that automate manual reporting
ensure stakeholders have self-serve access to the metrics that matter most
Curate the Data Layer: Collaborate with engineering to maintain clean, reliable data models
help refine our SQL transformations to ensure our data infrastructure scales with our growth
Synthesize & Communicate: Translate technical findings into clear, concise recommendations for non-technical audiences
tell the story behind the data, helping leadership understand why trends are happening and what to do about them
Wrangle Complex Data: Perform detailed work with structured and semi-structured data (including nested JSON) to extract relevant signals from the noise
Requirements:
Advanced SQL & Snowflake: expert at writing efficient, complex queries to extract and manipulate data from cloud data warehouses like Snowflake
BI & Dashboarding: strong experience designing interactive dashboards and reports
Familiarity with Hex (or similar notebook-based BI tools) is highly preferred
Experience with Looker, Tableau, or Metabase is also valuable
Data Wrangling Expertise: comfortable working with messy, real-world data, including parsing nested JSON and cleaning unstructured datasets
Analytical Mindset: analyze data to find the root cause of business problems
Strong Communication: can explain complex data concepts to product managers, operations teams, and executives alike
Startup DNA: comfortable with ambiguity, ready to adapt to shifting priorities, and willing to jump in and support the team wherever needed
Applicants must be based in the United States
Nice to have:
dbt Experience: Familiarity with dbt (data build tool) is a plus
Python/R: Experience using scripting languages for automation, advanced statistical analysis, or forecasting
Process Optimization: A background in operations, where you have successfully used data to streamline workflows and reduce manual overhead