Job Description

Data Analyst Competitive Benchmarking & Reporting We are seeking a Data Analyst with expertise in data stewardship and analysis to manage our competitive benchmark data tenants and produce customer-facing reports for marketing and sales. The ideal candidate is proficient in BigQuery (SQL), detail-oriented, and capable of working independently on complex data projects. Responsibilities: Data Stewardship & Governance: Ensure data accuracy, integrity, and accessibility by managing competitive benchmark data tenants, implementing verification processes, and maintaining governance best practices. Data Pipeline Management: Develop and maintain data ingestion pipelines, including API integrations and web scraping, ensuring timely updates and scalability. Data Validation & Quality Control: Oversee large-scale data input and validation, balancing hands-on data manipulation with automation strategies. Collaborate with data owners to resolve quality issues. Advanced Analytics & Reporting: Conduct in-depth data analysis to uncover trends, patterns, and insights that drive business decisions. Scope, design, and execute analysis projects with minimal supervision. Industry & Market Insights: Develop data-driven industry reports for marketing and sales, leveraging analytics to provide insights on market trends and competitive landscapes. Cross-Functional Collaboration: Work closely with product managers, engineers, marketing, and leadership to resolve data issues, provide training, and ensure alignment on data best practices. Tool & Process Optimization: Design scalable internal tools and reporting solutions to enhance data accessibility, automation, and usability across teams. Stakeholder Communication: Translate complex data insights into actionable recommendations for key stakeholders, including non-technical audiences. Qualifications: 5+ years of proven experience in data analysis, data stewardship, and managing large-scale datasets, with a strong focus on ensuring data accuracy, integrity, and accessibility. Must be proficient with SQL and NoSQL (BigQuery), as well as have the ability to thrive in an environment that often requires patience and creativity to query, extract and validate data in which there are high levels of uncertainty. Strong prior professional experience managing databases and using applicable tools is required. Experience with and knowledge of ETL processes and data migration. Understanding of and prior experience with General Data Protection Regulation. Demonstrated experience and proficiency in using Python in real-world, business applications are substantial advantages to candidates. Highly articulate with outstanding verbal and written communication skills; you are able to explain data-driven insights and analyses intuitively to clients, executives, and technical and non-technical coworkers in both large and small groups. You should be comfortable taking feedback from everyone Product Managers, Engineers, customers, the CEO, etc. to help understand business objectives and develop the most powerful analyses and tools possible. Proven ability to operate in a fast-paced, data-driven environment. Preferred candidate profile Perks and benefits Health Insurance & Wellness Benefits : Group Health Insurance: Medical Insurance with floater policy of up to 10,00,000 for employee + spouse + 2 dependent children + 2 parents / parent-in-laws Maternity Benefits : Medical insurance up to 75,000 INR, 26 weeks of leave for birth, adoption or surrogacy Life Insurance : Insurance at 3x annual cost to the company (Term Insurance, GPA) Accident/Disability Insurance : Insured at 3x base salary for permanent total disability, permanent partial disability and temporary total disability (GPA) OPD : of 7500 per annum per employee