Data Analytics Manager – POD SPOC

🕒 August 31

🇺🇸 United States – Remote

💵 $93.9k - $154.2k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Own delivery plans for analytics projects, enhancements, recurring reporting, and ad hoc client requests within the assigned POD • Translate business problems into analytical requirements, define scope, estimate effort, align timelines, and manage dependencies across analytics, Tech, Operations, POD, and program teams • Perform 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, escalate blockers, and drive closure through structured follow-ups and action logs • Ensure outputs are accurate, audit-ready, documented, and consumable by business, program, and client-facing teams • Govern POD and program health using delivery, quality, backlog, automation, revenue, and operational KPIs • Prepare recurring KPI reviews covering status, risks, root causes, corrective actions, owners, and due dates • Diagnose metric movement and define action plans to restore performance • Consolidate project status, savings/revenue performance, operational throughput, and client commitments for program governance • Create executive-ready summaries and PowerPoint narratives explaining metric movement, delivery risk, and business impact • Track forecast versus actual revenue or savings contributions from analytics initiatives • Prioritize work based on business value, revenue impact, client commitments, compliance needs, and feasibility • Surface revenue leakage, underperformance, stalled initiatives, delayed implementation, and dependency risks • Build business cases for analytics initiatives, automation opportunities, and value realization improvements • Coordinate program, technical, validation, operations, and client-facing teams as the POD’s day-to-day contact • Run project discussions, maintain workplans, track action items, capture ownership, and follow up to closure • Communicate status through delivery trackers, issue logs, KPI dashboards, Excel summaries, PowerPoint updates, and leadership readouts • Represent the Analytics team in cross-functional forums • Use SQL, Python, Databricks, statistics, Excel, PowerPoint, ML, and LLM concepts for analytics execution and business problem solving • Structure ambiguous problems, develop hypotheses, validate with data, provide recommendations, and translate complex analytics into business messages

🎯 Requirements

• Bachelor's Degree • 10+ years managing analytics delivery, program analytics, client delivery, KPI governance, or similar hands-on analytical roles • 7+ years of data profiling, joins, reconciliations, validation, trend analysis, business-rule testing, and performance-aware querying • 3+ years of data wrangling, automation, exploratory analysis, QA checks, reusable scripts, and productivity improvements • 2–3 years of notebook-based analysis, data exploration, validation, collaborative code review, and scalable analytics workflows • 8+ years of complex formulas, pivots, QA trackers, KPI packs, reconciliations, and stakeholder-ready analysis views • 5+ years of executive summaries, KPI narratives, revenue readouts, client-ready decks, and business recommendations • 5+ years of trend interpretation, sampling logic, variance analysis, outlier detection, opportunity sizing, and decision support • 5+ years of POD scorecards, program health dashboards, delivery metrics, corrective actions, and operating cadence • 5+ years of workplans, action logs, dependency tracking, risk management, release coordination, and stakeholder follow-up • Basic practical knowledge of ML/LLM • Preferred hands-on experience managing analytics delivery for healthcare, payment integrity, claims operations, audit analytics, risk analytics, finance analytics, or operational analytics programs • Preferred experience managing one complex client or two to three smaller clients while balancing BAU production, enhancements, strategic projects, and revenue priorities • Preferred consulting, advisory, transformation, or client-facing analytics delivery experience • 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 remaining hands-on with data validation, analytical review, and issue diagnosis

🏖️ Benefits

• Base salary range of $93,900–$154,200 • Benefits information provided via EXL’s US careers and benefits page • Work from home