Data Analyst

Job description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟭𝟱 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a skilled and analytical  Data Analyst – BI  with strong hands-on expertise in  Tableau and SQL  to transform complex financial and operational data into actionable business insights.

The role will focus on developing high-quality dashboards, reports, visualisations, and analytical solutions that help business and leadership teams understand performance, identify risks, and make informed decisions. The ideal candidate should combine strong technical BI capabilities with a clear understanding of business requirements and data storytelling.

Requirements

KEY RESPONSIBILITIES - Design, develop, and maintain executive and operational dashboards using  Tableau Desktop and Tableau Server/Cloud . - Build interactive and production-ready Tableau dashboards that effectively communicate business and financial insights. - Use advanced Tableau features including  LOD expressions, calculated fields, parameters, custom calculations, and action filters . - Optimise Tableau workbooks, dashboards, and data sources for improved performance and faster rendering. - Manage the complete Tableau development lifecycle from requirements gathering through deployment and maintenance. - Write complex and optimised  SQL queries  to extract, transform, join, and structure data for reporting and analysis. - Prepare and transform data for Tableau dashboards and business reporting. - Build reports, visualisations, and analytical solutions using Tableau and other relevant BI tools. - Collaborate with Finance, Risk, and business stakeholders to define and track meaningful  business KPIs . - Analyse financial and operational data to identify trends, risks, opportunities, and performance gaps. - Develop analytical dashboards covering areas such as  risk scoring, portfolio health, revenue forecasting, and business performance . - Create clear, story-driven visualisations that communicate complex financial trends and risks effectively. - Validate data accuracy, consistency, completeness, and integrity across BI assets. - Publish and manage data sources, workbooks, and dashboards on  Tableau Server/Cloud . - Manage Tableau data connections, refresh schedules, permissions, and access controls. - Support BI governance and ensure appropriate security and access to business-critical reports. - Troubleshoot dashboard, data-source, query, and performance-related issues. - Gather feedback from stakeholders and continuously improve dashboards and reporting solutions. - Maintain technical documentation, data definitions, KPI logic, and BI development standards. - Identify opportunities to automate reporting and improve data-driven decision-making.

WHAT MAKES YOU A GREAT FIT - 2+ years of overall professional experience , with strong hands-on experience in data analytics and business intelligence. - 3+ years of dedicated Tableau development experience  is highly desirable. - Strong expertise in  Tableau Desktop, Tableau Server/Cloud, and Tableau Prep . - Proven experience building complex, scalable, and production-ready Tableau dashboards. - Expert-level proficiency in  SQL , including complex queries, joins, aggregations, subqueries, and data manipulation. - Strong understanding of data preparation, data modelling, reporting, and visualisation principles. - Experience working with financial, operational, risk, or business performance data. - Strong ability to translate business requirements into effective dashboards, reports, KPIs, and analytical solutions. - Experience working closely with  Finance, Risk, or business stakeholders  is highly desirable. - Experience in  FinTech, Banking, Financial Services, or related industries  will be a strong advantage. - Strong understanding of dashboard design, data storytelling, visual hierarchy, and analytical communication. - Good knowledge of Tableau performance optimisation and dashboard best practices. - Strong understanding of data governance, security, access management, and data integrity. - Excellent analytical, problem-solving, and attention-to-detail skills. - Strong communication and stakeholder-management skills with the ability to explain complex data insights clearly. - Tableau certification such as  Tableau Certified Data Analyst or Tableau Desktop Specialist  will be an advantage. - Experience with  Python or R  for statistical analysis, data processing, or integrating analytical outputs with Tableau will be an advantage.