Senior Data Analyst

F5; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

F5 in Hyderabad, India is seeking a Senior Data Analyst to lead strategic analytics, translate business challenges into actionable insights, and mentor a team of analysts. You will partner with executives, product, and engineering to deliver end-to-end analytics, from data strategy to storytelling that shapes decisions.

Strong communication and cross-functional collaboration are essential. Experience with SQL, BI, cloud data platforms, and Python is preferred; a data-driven culture is central to

Qualifications

• SQL Mastery: Expert-level ability to write, optimize, and troubleshoot highly complex queries.
• BI & Data Visualization: Mastery of enterprise BI like Tableau/Power BI with scalable dashboards for leadership.
• Spreadsheet Fluency: Advanced Excel/Google Sheets with complex modeling and data cleanup.
• Cloud Data Ecosystems: Experience with Snowflake/Databricks and cost management ideas.
• AI-Driven Strategy & Automation: Design and implement AI-powered analytics systems for scalable insights.
• Business Systems Acumen: Understanding CRM data models (e.g., Salesforce).
• Statistical Programming (Preferred): Python for data manipulation and analysis.
• Product & Customer Telemetry Expertise (Preferred): Analyze telemetry data to model user journeys.

Responsibilities

• Architect and drive the development of innovative reports, predictive models, and analytical frameworks.
• Partner with senior leadership to influence the business roadmap with data-driven recommendations.
• Lead the most complex analytics projects end-to-end with cross-functional dependencies.
• Mentor junior data analysts and foster a data-first culture.
• Define analytics best practices and drive data governance initiatives.
• Influence data strategy and reliability of core data assets.

Skills

SQL

BI/Visualization

Spreadsheet

Cloud Data

AI/Automation

Business Systems

Telemetry Expertise

Python

Tools

Tableau

Power BI

Job description

Job Summary

About the Role: We are seeking a strategic Senior Data Analyst to act as a thought leader on our team. The ideal candidate will leverage their extensive expertise in quantitative analysis, data strategy, and data storytelling to architect and deliver high-impact analytics that shape business strategy and drive executive-level decisions.

As a Senior Data Analyst, you will serve as a strategic advisor to business leaders, product managers, and engineering teams, translating ambiguous business challenges into a clear analytics roadmap. You will own complex analytical initiatives from end-to-end, setting the standard for rigor and quality. This role is critical for not only answering the companys most challenging questions but also for mentoring a team of analysts and fostering a data-first culture.

Key Responsibilities

• Strategic Analytics & Thought Leadership: Architect and drive the development of innovative reports, predictive models, and analytical frameworks. Go beyond reporting to identify and size new opportunities, risks, and strategic initiatives for the business.
• Business Partnership & Influence: Act as a strategic partner to senior leadership, providing expert consultation and data-driven recommendations to influence the business roadmap. Excel at translating complex analytical outcomes into clear, compelling narratives for an executive audience.
• End-to-End Project Ownership: Lead the most complex, high-visibility analytics projects, often with ambiguous requirements and cross-functional dependencies. Define the scope, methodology, and success criteria for large-scale analytical initiatives.
• Mentorship & Team Leadership: Lead and mentor more junior data analysts, providing technical guidance, coaching on analytical best practices, and fostering their professional growth. Champion a culture of high-quality work, intellectual curiosity, and accountability.
• Defining Best Practices: Define and evangelize analytics best practices, frameworks, and methodologies across the organization. Drive initiatives to improve data literacy and ensure analytical rigor is applied throughout the business.
• Data Strategy & Governance: Partner with Data Engineering and Product teams to influence data strategy, improve data infrastructure, and drive data governance initiatives. Take a leadership role in ensuring the accuracy, accessibility, and reliability of our core data assets.

Qualifications & Skills Technical Skills

• SQL Mastery: Expert-level ability to write, optimize, and troubleshoot highly complex queries. Deep experience with advanced functions, performance tuning, and data modeling in a warehouse environment.
• Expertise in BI & Data Visualization: Mastery of at least one enterprise BI platform (e.g., Tableau, Power BI), with a proven ability to design scalable, intuitive, and high-performance dashboards that are adopted by senior leadership.
• Spreadsheet Fluency: Advanced Excel or Google Sheets skills, including complex modeling, pivot tables, lookup/index-match functions, and data cleanup techniques.
• Cloud Data Ecosystems: Deep familiarity and hands-on experience with a modern data warehouse or lakehouse environment (Snowflake, Databricks), including an understanding of its architecture and cost-management principles and experience with the AI features of modern data tools.

• AI-Driven Strategy & Automation: Leads the design and implementation of AI-powered agents and automated analytical systems to scale insight delivery, reduce manual effort, and embed intelligent decision-making capabilities within the business.
• Business Systems Acumen: Strong understanding of the data models behind enterprise systems such as CRM (Salesforce).
• Product & Customer Telemetry Expertise (Preferred): Deep expertise in analyzing large-scale, event-based telemetry data to model user journeys, define key performance indicators, and inform product strategy. Experience partnering with engineering to define telemetry architecture and requirements.
• Statistical Programming (Preferred): Proficiency in a statistical programming language like Python for advanced data manipulation, automation, and statistical analysis.

Analytical and Business Skills

• Demonstrated ability to autonomously deconstruct ambiguous strategic questions into a logical, multi-phased analytical plan.
• Exceptional business acumen and a proven track record of using data to influence senior-level business decisions.
• Exceptional communication skills with an ability to tell a compelling story with data and articulate its implications to any audience, from analysts to C-suite executives.
• Minimum of 7+ years of progressive experience in data analytics, with significant experience in leading complex projects and mentoring others.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.