Manager, Business Analytics

Manager, Business Analytics Bengaluru, India The Opportunity: Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets. Please note - this role operates to PST, so you will work from 5pm - 2am IST. What You'll Do: Strategic Alignment: Align analytics initiatives with key business objectives and contribute to the development of data-driven strategies that lead to measurable improvements. Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions. Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs). Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity. Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our data warehouse or analytics platforms. End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance. Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes. Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, and data technologies to enhance our analytics capabilities. Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals. Data Governance & Quality: Ensure data accuracy, consistency, and integrity in all developed datasets and dashboards, contributing to data governance efforts. Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement. Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools. What You'll Bring: 5-7+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility. Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions. Expert-level proficiency in Tableau , including advanced calculations, parameters, actions, and performance optimization. Strong hands-on experience in building and optimizing data sets for Tableau. Solid experience with data integration tools, preferably Fivetran , and the ability to design and implement data pipelines. Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas). Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift. Advanced SQL skills for data extraction, transformation, and querying. Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks. Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences. Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively. Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders. Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus). Bonus Points For: Experience in SaaS software industry is highly preferred. Experience with other data visualization tools (e.g., Power BI, Looker). Familiarity with cloud-based data platforms (e.g., BigQuery). Familiarity with basic statistical concepts and methodologies is a plus.