Data Analyst – Business Intelligence & AI – SQL | Power BI/Tableau | Python | Automation | 3.5–7.5 Years

Develop end-to-end analytics, reporting solutions, and scalable dashboards that support strategic business objectives and enable data-driven decisions.

Analyze large datasets to identify trends, measure business performance, and provide insights impacting strategic decisions, including key SaaS metrics like ARR, NRR, churn, and product adoption.

Leverage AI-enabled tools and automation to improve insight generation, forecasting, reporting efficiency, and automate recurring data processes.

Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business, or related quantitative/technical field (or equivalent practical experience).

Minimum 6 years of experience in data analytics, business intelligence, or similar analytical roles, preferably in enterprise technology or SaaS.

Minimum 5 years experience with business intelligence tools (Tableau, Power BI), SQL querying on platforms like Snowflake, SAP HANA, or BigQuery, and data analysis programming languages like Python or R.

Experience applying AI-enabled tools and generative AI to business analytics and reporting workflows with proper validation.

Experienced in translating complex business requirements into actionable, scalable reporting and dashboard solutions in SaaS or enterprise technology environments.

Proficient in analyzing commercial metrics related to recurring revenue models with expertise in ARR, NRR, renewals, churn risk, and product adoption analytics.

Skilled at using AI and automation to enhance operational efficiency and reporting quality, and capable of establishing data governance and quality assurance practices.