Senior Data Analyst

OneMagnify is an AI-native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by designing smarter customer experiences and delivering integrated solutions across digital, media, analytics, and technology. By combining deep industry expertise with advanced analytics, data engineering, and artificial intelligence, we empower our clients to make better decisions, accelerate innovation, and compete more effectively in rapidly evolving markets. We are seeking a highly skilled, proactive, and analytical Senior Data Analyst to contribute to and support our data science and business intelligence initiatives across our global team. This pivotal role will serve as a bridge between complex client business objectives and cutting-edge analytical solutions, leveraging advanced AI and machine learning techniques. The impact you'll have: The Senior Data Analyst will be responsible for driving the full analytics lifecycle, from strategic problem definition and robust data engineering to advanced modeling, insightful visualization, and effective project management for a diverse client portfolio. You will provide critical analytical support and collaborate closely with the team, ensuring the delivery of high-impact, data-driven recommendations that empower our clients to make informed decisions. What you’ll do: 1. Data Preparation & Engineering: Extract, clean, transform, and process messy data from various sources to prepare it for analysis and reporting. Help reduce manual effort, improve efficiency, enhance data quality, and ensure reliable, timely delivery of data for reports and dashboards through automation. Supports: The foundational work of a Data Engineer or Analytics Engineer, ensuring data readiness and quality. 2. Business Acumen & Problem Solving: Translate complex business questions into well-defined analytical tasks. Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, trends, uncover insights, potential data quality issues, and formulate hypotheses. Supports: The analytical rigor of a highly skilled Data Scientist or Data Analyst, bridging the gap between business needs and technical solutions. 3. Data Analysis & Insight Generation (Technical): Synthesize large datasets into actionable insights using SQL, DAX, Power Query, and statistical tools. Apply appropriate statistical methods and data mining techniques to address specific business needs (e.g., trend analysis, forecasting). Good to have: Exposure to machine learning algorithms or Large Language Models (LLMs) to generate insights/summaries from data. Supports: Core analytical work leveraging technical tools and advanced methodologies to extract meaningful business intelligence. 4. Business Intelligence & Visualization: Develop and maintain robust data models, interactive dashboards, and reports using BI tools to support real-time decision-making. Ensure visualizations effectively communicate key performance indicators (KPIs), trends, and insights, enabling users to explore data and make data-driven decisions independently. Supports: The core responsibilities of a Business Intelligence Developer/Analyst, focusing on making data accessible and understandable for business users. 5. Project Execution & Collaboration: Manage multiple data/reporting projects independently, following best practices and ensuring timely delivery of high-impact analytics and ad hoc reporting. Continuously iterate on data models and dashboards based on performance feedback and evolving business requirements. Stay up to date with the latest advancements in business intelligence, data science/AI technologies. Collaborate with data scientists/analytics engineers on integrating AI solutions into existing workflows. Collaborate cross-functionally with business stakeholders and internal teams. Supports: The execution, continuous improvement, and cross-functional communication expected of a Senior Analyst role. What you’ll need: Min 5+ years of experience in Business Intelligence or Data Analytics. Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or a related field. Advanced proficiency in SQL, preferably in Google BigQuery, to query, clean, manipulate, arrange, and present data. Hands-on experience with BI tools, preferably MS Power BI. Strong experience in DAX and Power Query. Familiarity with cloud computing platforms, preferably Google Cloud. Future-Ready Skills (Nice to Have): Experience with Python for advanced analytics and/or Large Language Models (LLMs). Benefits: We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more. We are an equal opportunity employer: We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.