Data Analyst -Business Intelligence & AI - SQL,Power BI/Tableau,Python

Job highlights

• Bachelors degree in Computer Science,Mathematics,Statistics,Engineering,Business,or a related technical or quantitative field
• Minimum Qualifications
• Preferred Qualifications
• Experience using Python,R,or a comparable language for data analysis,automation,data transformation,sophisticated analytics,or API data develops.

Job Summary

Meet the Team

The Data & Analytics team helps leaders turn sophisticated information into clear, actionable insights. We partner across business, operations, finance, product, and go-to-market to build trusted data analysis, enable strategic decision-making and improve business performance. As a Data Analyst, you will bring strong analytical judgment, familiarity with AI-enabled tools, and a passion for crafting intuitive dashboards that help teams understand what is happening, why it matters, and what to do next.

Responsibilities

Your Impact

As a Business & Data Analyst, you will partner with business team members to develop and deliver end-to-end analytics and reporting solutions that enable data-driven decisions. You will transform sophisticated business requirements into meaningful insights, develop scalable dashboards, and see opportunities to improve operational efficiency through data and AI-enabled solutions. Specific responsibilities include:

• 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 our 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.

Requirements

Minimum Qualifications

• Bachelors 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.

Preferred Qualifications

• 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.