Data Analytics Manager - Business Intelligence & AI

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 fosters.

Job Summary

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 Manager, 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.

Your Impact

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

• Partner with multi-functional participants to capture business requirements and compose 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.
• Translate commercial performance across Teamwork and Networking portfolios into actionable briefs, opportunity spotlights, and recommendations for leadership.
• 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 get along 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.
• Drive projects from concept to completion by managing priorities, presenting with partners and colleagues, and delivering high-quality analytical solutions.
• Establish data-quality checks, indictor definitions, documentation, and governance practices that improve trust and consistency in reporting.

Qualifications

Minimum Qualifications

• Bachelors degree in Computer Science, Mathematics, Statistics, Engineering, Business, or a related technical or quantitative field; equivalent practical experience may be considered.
• 8+ 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 fosters.
• 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 collaboration solutions, networking business models, or related technology portfolios.
• Solid grasp 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.