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BI Developer at Weekday AI. This role is for one of Weekday’s clients. Min Experience: 5 years. JobType: full-time. We are looking for an experienced and detail-oriented . BI Developer. with a strong focus on . campaign performance analysis. , . CRM analytics. , and . post-campaign insights. . The ideal candidate will have 5–7 years of experience in . CRM, campaign management, marketing analytics. , or . loyalty operations. . You will be responsible for enabling data-driven decision-making by translating complex datasets into meaningful dashboards, performance insights, and optimization strategies.. This role is ideal for someone who thrives in fast-paced environments, works well with cross-functional teams, and possesses a deep understanding of marketing campaign data. If you are passionate about digging into customer behaviors, uncovering actionable insights through root cause analysis, and enabling smarter campaign strategies—this role is for you.. Key Responsibilities:. Campaign Performance Analysis. . Analyze marketing campaign effectiveness using key performance metrics (open rates, CTR, conversions, ROI, etc.). . . Conduct . Post Campaign Analysis (PCA). to evaluate impact, uncover trends, and recommend improvements. . . Identify what’s working, what’s not, and why—through . Root Cause Analysis (RCA). techniques. . . Data Handling & BI Reporting. . Build and maintain scalable dashboards and reports using BI tools (e.g., Power BI, Tableau, Looker, or similar). . . Develop SQL queries to extract and transform data from relational databases for campaign and customer analytics. . . Use . Excel. for quick data exploration, modeling, and presentation where appropriate. . . Cross-functional Collaboration. . Work closely with CRM, marketing, product, tech, and data teams to align campaign goals and define KPIs. . . Partner with loyalty and retention teams to analyze the performance of customer engagement programs. . . Provide insights that influence targeting, segmentation, personalization, and timing of future campaigns. . . Data-Driven Decision Support. . Enable teams to make better decisions by providing insights backed by data and evidence. . . Identify patterns and trends in customer behavior to optimize communication strategies and campaign design. . . Proactively identify anomalies and performance deviations and propose actionable solutions. . . Continuous Improvement. . Improve campaign performance measurement frameworks by automating reporting and insight generation. . . Contribute to building data pipelines and analytics processes that improve operational efficiency and scalability. . . Key Qualifications:. . 5–7 years of experience in roles such as . CRM Analyst, Campaign Manager, Loyalty Consultant, or Marketing Operations Analyst. . . . Strong SQL skills – able to write, optimize, and debug complex queries across large datasets. . . Hands-on expertise in at least one modern . BI tool. (e.g., Power BI, Tableau, Looker). . . Advanced Excel skills, including data modeling, pivot tables, VLOOKUP/XLOOKUP, and charts. . . Experience in . Post Campaign Analysis. , . Root Cause Analysis. , and customer segmentation techniques. . . Strong understanding of campaign lifecycles, marketing KPIs, and performance attribution. . . Excellent problem-solving skills, analytical thinking, and the ability to communicate technical results to non-technical stakeholders. . . Familiarity with customer lifecycle marketing, loyalty programs, and CRM systems is a plus.. . Company Location: India.