Note: The job is a remote job and is open to candidates in USA. EXL is a data analytics and digital operations company serving industries including healthcare, insurance, banking, and retail. The Data Analytics Manager will own end-to-end analytics delivery for an assigned client POD, govern project and program health through KPIs, coordinate cross-functional teams, and ensure analytics initiatives contribute to revenue and business outcomes.
Responsibilities
- Own the delivery plan for analytics projects, enhancements, recurring reporting, and ad hoc client asks within the assigned POD
- Translate business problems into analytical requirements, define scope, estimate effort, align timelines, and manage dependencies across analytics, Tech team, Operations, POD, and program teams
- Remain hands-on with analysis when required, including data profiling, validation, reconciliation, metric interpretation, issue diagnosis, and quality review before release
- Track deliverables from intake through development, validation, deployment, stabilization, and post-release monitoring
- Identify delivery risks early, escalate blockers with clear options, and drive closure through structured follow-ups and action logs
- Ensure outputs are accurate, audit-ready, clearly documented, and consumable by business, program, and client-facing teams
- Maintain a single view of POD health using KPIs such as delivery timeliness, backlog aging, production quality, rework, issue closure, automation adoption, revenue realization, client priority execution, and operational throughput
- Prepare recurring KPI reviews that highlight status, risks, root causes, corrective actions, owners, and due dates
- Diagnose metric movement using data and hands-on analysis rather than reporting trends at a surface level
- Define practical action plans when POD metrics move off track and coordinate with the right teams to restore performance
- Support program-level governance by consolidating insights across project status, savings/revenue performance, operational throughput, and client commitments
- Create executive-ready summaries and PowerPoint narratives that explain metric movement, delivery risk, and business impact
- Treat revenue as the primary success goal across monthly, quarterly, and annual horizons
- Partner with program, finance, operations, and client teams to track forecast versus actual revenue or savings contribution from analytics initiatives
- Prioritize analytics work based on expected business value, revenue impact, client commitments, compliance needs, and delivery feasibility
- Surface revenue leakage, underperformance, stalled initiatives, delayed implementation, and dependency risks that may affect planned outcomes
- Support leadership with concise revenue drivers, risks, recovery actions, and opportunity areas for assigned client PODs
- Build practical business cases for new analytics initiatives, automation opportunities, and value realization improvements
- Act as the day-to-day coordination point for the POD, ensuring that program stakeholders, technical teams, validation teams, operations teams, and client-facing teams stay aligned
- Operate like a project manager when needed by running structured project discussions, maintaining workplans, tracking action items, capturing ownership, and following up to closure
- Manage competing priorities and negotiate realistic timelines when client asks, production needs, revenue priorities, and strategic initiatives overlap
- Communicate status clearly using delivery trackers, issue logs, KPI dashboards, Excel summaries, PowerPoint updates, and leadership readouts
- Build trusted working relationships across internal teams and represent the POD from Analytics team in cross-functional forums
- Use SQL to profile data, validate extracts, reconcile counts, identify trends, and support audit-rule or business-logic analysis
- Use Python for data preparation, exploratory analysis, automation, quality checks, productivity improvements, and root-cause analysis
- Work in Databricks environments for data exploration, validation, code review, notebook-based analysis, and scalable analytical solution development
- Apply statistics to evaluate trends, anomalies, performance drivers, variances, sample results, and business opportunity sizing
- Use Excel for hands-on analysis, validation, tracker management, KPI summaries, pivots, formulas, and stakeholder-friendly views
- Use PowerPoint to convert analysis into crisp business updates, revenue narratives, KPI readouts, and executive-level stories
- Apply basic awareness of ML and LLM concepts to identify practical automation, summarization, documentation, quality-control, and insight-generation opportunities
- Operate with a consulting mindset by structuring ambiguous problems, developing hypotheses, validating with data, and providing clear recommendations
- Challenge assumptions constructively and use data to influence prioritization, delivery decisions, and stakeholder alignment
- Translate complex analytics into simple business messages that connect work effort, client impact, operational performance, and revenue outcomes
- Prior consulting, advisory, transformation, or client-facing delivery experience is an added advantage
Skills
- * 10+ years Managing analytics delivery, program analytics, client delivery, KPI governance, or similar hands-on analytical roles
- * 7+ years Data profiling, joins, reconciliations, validation, trend analysis, business-rule testing, and performance-aware querying
- * 3+ years Data wrangling, automation, exploratory analysis, QA checks, reusable scripts, and productivity improvements
- * 2-3 years Notebook-based analysis, data exploration, validation, collaborative code review, and scalable analytics workflows
- * 8+ years Complex formulas, pivots, QA trackers, KPI packs, reconciliations, and stakeholder-ready analysis views
- * 5+ years Executive summaries, KPI narratives, revenue readouts, client-ready decks, and business recommendations
- * 5+ years Trend interpretation, sampling logic, variance analysis, outlier detection, opportunity sizing, and decision support
- * 5+ years POD scorecards, program health dashboards, delivery metrics, corrective actions, and operating cadence
- * 5+ years Workplans, action logs, dependency tracking, risk management, release coordination, and stakeholder follow-up
- * Basic practical knowledge of ML/LLM
- * Hands-on experience managing analytics delivery for healthcare, payment integrity, claims operations, audit analytics, risk analytics, finance analytics, or operational analytics programs
- * Experience managing one complex client or two to three smaller clients while balancing BAU production, enhancements, strategic projects, and revenue priorities
- * Prior consulting, advisory, transformation, or client-facing analytics delivery experience is strongly preferred and will be considered an added advantage
- * Experience leading cross-functional initiatives with distributed teams across onshore and offshore locations
- * Experience creating KPI packs, program scorecards, operational dashboards, revenue summaries, executive updates, and business case materials
- * Exposure to AI, ML, GenAI, or LLM-enabled analytics solutions, productivity tools, or automation initiatives
- * Comfortable working with senior stakeholders while also being hands-on with data validation, analytical review, and issue diagnosis
Benefits
- Work From Home
Company Overview
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