Overview
As a Business & Data Analyst on the Data & Analytics team, you will develop end-to-end analytics and reporting solutions, transform business requirements into insights, and build dashboards that support data-driven decisions and improve operational efficiency through data and AI-enabled solutions.
What you'll do
- Capture business requirements and develop scalable analytics, reporting, and dashboard solutions that support strategic business objectives.
- Develop, maintain, and optimize executive dashboards, reporting tools, and data visualizations that deliver actionable insights to business leaders.
- Analyze large and sophisticated datasets to identify trends, measure business performance, and deliver quantitative and qualitative insights that influence strategic decisions.
- Evaluate key SaaS and other business metrics including ARR, NRR, GRR, renewal rate, churn risk, and product adoption to support business planning and decision-making.
- Use approved AI-enabled tools and automation techniques to improve insight generation, forecasting, reporting, operational efficiency and how partners work well with analytics and insights.
- Provide ad-hoc reporting, data extracts, and analytical support while finding opportunities to automate recurring processes and scale data-driven solutions.
- Establish data-quality checks, KPI definitions, documentation, and governance practices that improve trust and consistency in reporting.
What you'll need
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business, or a related technical or quantitative field; equivalent practical experience may be considered.
- 6+ years of experience in data analytics, business intelligence, strategic analytics, commercial analysis, business operations, or a similar analytical role, preferably in enterprise technology or SaaS.
- 5+ years of experience developing dashboards and visualizations using Tableau, Power BI, or similar business intelligence tools.
- 5+ years of experience querying and analyzing large datasets using SQL and platforms such as Snowflake, SAP HANA, BigQuery, Databricks, or similar technologies.
- Experience using Python, R, or a comparable language for data analysis, automation, data transformation, sophisticated analytics, or API data develops.
- Experience applying AI-enabled tools and generative AI to business problems and reporting workflows with sound judgment and appropriate validation.
- Good communication, data storytelling, problem-solving, stakeholder-management, and attention-to-detail skills.
Nice to have
- Experience with data analysis, data exploration, data wrangling, data transformation, and data-validation techniques.
- Experience with enterprise reporting platforms such as Salesforce, SAP BI or Business Objects, Databricks, or similar tools.
- Familiarity with enterprise teamwork solutions, networking business models, or related technology portfolios.
- Solid understanding of recurring revenue models and commercial metrics such as ARR, ACV, NRR, customer churn, renewals, and Enterprise Agreements.
- Experience with forecasting, scenario analysis, predictive modeling, or other sophisticated analytical methods.
- Knowledge of data governance, privacy, security, and responsible AI principles.
- Experience mentoring analysts or influencing decisions across organizational boundaries.
Details
- Location: Bangalore, India.
Read the full description and apply on the company’s own careers page.