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 cutting-edge 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.

📌 Senior Data Analyst (Hyderabad)
🏢 f5
📍 Hyderabad