Cognizant Ipa Analytics Hiring Data Analysts (Telangana)

Senior Data Analyst Location Hyderabad IN - Work from Office Experience 7 Years Role Summary We are seeking an experienced and highly skilled Senior Data Analyst to join our team The ideal candidate will possess a deep proficiency in SQL a strong understanding of data architecture and a working knowledge of the Google Cloud platform GCP based ecosystem They will be responsible for turning complex business questions into actionable insights driving strategic decisions and helping shape the future of our Product Operations team This role requires a blend of technical expertise analytical rigor and excellent communication skills to partner effectively with engineering product and business leaders Key Responsibilities Advanced Data Analysis Utilize advanced SQL skills to query analyze and manipulate large complex datasets Develop and maintain robust scalable dashboards and reports to monitor key performance indicators KPIs Source Code management Proven ability to effectively manage version and collaborate on code using codebase management systems like GitHub Responsible for upholding data integrity producing reproducible analyses and fostering a collaborative database management environment through best practices in version control and code documentation Strategic Insights Partner with product managers and business stakeholders to define and answer critical business questions Conduct deep-dive analyses to identify trends opportunities and root causes of performance changes Data Architecture Management Work closely with data engineers to design maintain and optimize data schemas and pipelines Provide guidance on data modeling best practices and ensure data integrity and quality Reporting Communication Translate complex data findings into clear concise and compelling narratives for both technical and non-technical audiences Present insights and recommendations to senior leadership to influence strategic decision-making Project Leadership Lead analytical projects from end to end including defining project scope methodology and deliverables Mentor junior analysts fostering a culture of curiosity and data-driven problem-solving Required Skills Experience Bachelor s degree in a quantitative field such as Computer Science Statistics Mathematics Economics or a related discipline 5 years of skilled experience in a data analysis or business intelligence role Expert-level proficiency in SQL with a proven ability to write complex queries perform window functions and optimize queries for performance on massive datasets Strong understanding of data architecture including data warehousing data modeling e g star snowflake schemas and ETL ELT principles Excellent communication and interpersonal skills with a track record of successfully influencing stakeholders Experience with a business intelligence tool such as Tableau Looker or Power BI to create dashboards and visualizations Experience with internal Google Alphabet data tools and infrastructure such as BigQuery Dremel or Google-internal data portals Experience with statistical analysis A B testing and experimental design Familiarity with machine learning concepts and their application in a business context A strong sense of curiosity and a passion for finding and communicating insights from data Proficiency with scripting languages for data analysis e g App scripting Python or R would be an added advantage Responsibilities Lead a team of data scientists and analysts to deliver data-driven insights and solutions Oversee the development and implementation of data models and algorithms to support new product development Provide strategic direction for data science projects ensuring alignment with business goals Collaborate with cross-functional teams to integrate data science solutions into business processes Analyze complex datasets to identify trends and patterns that inform business decisions Utilize generative AI techniques to develop innovative solutions for product development Ensure adherence to ITIL V4 practices in all data science projects Develop and maintain documentation for data science processes and methodologies Mentor and guide team members to enhance their technical and analytical skills Monitor project progress and adjust strategies to meet deadlines and objectives Communicate findings and recommendations to stakeholders in a clear and concise manner Drive continuous improvement in data science practices and methodologies Foster a culture of innovation and collaboration within the data science team Qualifications Possess strong experience in business analysis and data analysis Demonstrate expertise in generative AI and its applications in product development Have a solid understanding of ITIL V4 practices and their implementation Exhibit excellent communication and collaboration skills Show proficiency in managing and leading a team of data professionals Display a commitment to working from the office during day shifts