Data & Insights Analyst

Data & Insights Analyst 

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About Zenwork

Zenwork is a market-leading, award-winning provider of digital tax compliance software serving ~20% of US SMBs, mid-market companies, and large enterprises, including 30,000+ CPA firms across the United States. As businesses rely more on independent contractors, vendors, and suppliers, Zenwork helps customers manage increasing federal and state tax reporting requirements through modern, automated compliance technology.

$163 million minority investment from Spectrum Equity

Learn more: Zenwork

The Role

We are looking for a highly analytical, logical, and business-minded Data & Insights Analyst to join our AI team. The person must understand business workflows, customer behaviour, product usage, and stakeholder needs, then translate that context into meaningful insights and action.

The ideal candidate can independently structure ambiguous problems, write advanced analytical queries, build trusted dashboards, use Python for analysis and automation, and leverage AI tools to work faster and smarter.

What You Will Do

·  Develop a strong understanding of business processes, product workflows, customer journeys, and stakeholder objectives.

·  Translate business questions into analytical frameworks, metrics, and clear recommendations.

·  Write, optimise, and validate complex SQL queries across large and varied datasets.

·  Use Python to automate data preparation, validation, analysis, monitoring, and recurring reporting.

·  Identify trends, anomalies, risks, opportunities, and leading indicators that stakeholders should act on.

·  Define meaningful KPIs and distinguish decision-useful signals from noise.

·  Build intuitive dashboards that explain what happened, why it happened, and what users should do next.

·  Use AI tools to accelerate analysis, query development, research, documentation, and workflow automation.

·  Partner with Product, Engineering, AI, Operations, Growth, and leadership teams to support data-driven decisions.

What You Bring

·  3–4 years of experience in data analytics, business intelligence, product analytics, or a related role.

·  Strong SQL skills, including joins, CTEs, window functions, aggregations, query optimisation, and data validation.

·  Strong Python skills, including Pandas, NumPy, APIs, automation, and data transformation.

·  Experience building dashboards using Power BI, Amazon QuickSight, Tableau, or a similar BI platform.

·  Excellent logical reasoning and the ability to understand and accurately represent complex business rules.

·  Ability to communicate insights clearly to both technical and non-technical stakeholders.

·  High ownership, intellectual curiosity, attention to detail, and comfort working through ambiguity.

Nice to Have

·  Exposure to AI/ML, LLMs, AI agents, or modern AI-enabled analytical workflows.

·  Experience with AWS data services such as Redshift, S3, or Glue.

·  Experience in SaaS, FinTech, payments, tax, compliance, or regulatory technology.

What Success Looks Like

• Stakeholders trust your numbers, use your dashboards, and act on your insights. You proactively identify meaningful signals, automate repetitive work, and help the team make faster, better-informed product and business decisions.