▷ (High Salary) Senior Manager

2 days ago


Gurugram India EXL IT service management Full time

Job Description Tableau Consultant (Client-Facing Role) Location:Offshore Experience: C1/C2 Tableau Analyst / Consultantwith strong business acumen and proven client-facing skills. This role goes beyond dashboarding - looking for someone who can partner with client business stakeholders, understand their needs, and deliver impactful analytics solutions. Responsibilities: - Engage directly with senior business users, translating requirements into actionable Tableau solutions. - Design, build, and optimize Tableau dashboards and visualizations for executive consumption. - Work with data engineering teams to ensure availability, accuracy, and reliability of data sources. - Act as a trusted advisor to the client - proactively recommending visualization best practices and data storytelling approaches. - Build credibility and trust to grow the account by identifying new opportunities, mentoring junior analysts, and leading expansions of the analytics team. - Deep expertise in Tableau (Desktop + Server/Cloud). - Strong SQL and data skills. - Good communication, presentation, and stakeholder management skills. - Who can supportthe relationship growth, deliver value fast, and then scale impact by building a team around them. - Technical Asks: - Grafana Tableau Alignment - Audit existing Grafana metrics. - Align definitions with Tableau dashboards (i.e., update logic supporting Grafana) - Optional: support RBAC/controls to ensure secure role-based access in Grafana (possibly through collaboration with IIT) - Re-work in-room VS dashboards - Current dashboards are live views of Grafana data but are not actively used - Build new dashboards to include critical views, metrics, etc. for VS and leaders to better manage live queue and capacity - Ideally, this would include predictive analytics on capacity, queue, etc. - Merge QA and VS Reporting - Build joint productivity dashboards (QA + VS) to support merged function. - Ensure coverage across individual, team, country, and global levels. - MBR Automation - Develop an automated MBR dashboard to replace current manual SQL pulls. - Build supporting Tableau data models with refresh scheduling. - SLA Dashboard - Construct a comprehensive SLA dashboard to provide clear visibility into contractual commitments versus actual performance - Provide a unified view of key SLA metrics, including response time, uptime, and bespoke customer accuracy SLAs. - Enable granular drill-down and filtering by customer, product, and time period (quarterly down to hourly), including the ability to exclude non-contractual volumes. - Include multi-dimensional performance analysis (e.g., time to meet a target percentile vs. percentile met in a target time), with a historical lookback of at least 6-12 months. - Add diagnostic capabilities to help identify the root causes of SLA breaches. - Automate data pipelines where possible to eliminate manual work. - Capacity Planning automation - Current capacity forecast is run manually from a Python notebook and is somewhat heuristic-based - There is an opportunity to create a more granular, automated predictive model that gives insight into required staffing levels (taking into account language, geo, etc.) - Operational Dashboards - Re-build Tableau dashboards for - Individual / team productivity and accuracy metrics (including post-shift reporting) - Country-level and global rollups - Cross-functional efficiency (QA/VS combined)



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