Data Analyst

• Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down
• Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance so the right people have the right access
• Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale
• Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org
• Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market — built to explain not just *what* is happening but *why*
• Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent
• Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface
• Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights without routing every question through analytics
• Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions
• Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams
• Use AI aggressively to automate workflows, accelerate analysis, and scale your impact — this is a role where AI-first thinking compounds fast

People Data Analytics Lead

• Lead complex project discovery sessions, conducting advanced ROI assessments and stakeholder prioritisation.
• Develop sophisticated solution designs and technical specifications for multi-faceted business requirements.
• Oversee UAT processes for complex solutions, ensuring comprehensive testing and quality assurance.
• Design and execute launch strategies for high-impact solutions, including advanced training and change management.
• Generate proactive insights and conduct scenario development and modelling to support strategic decision-making.
• Apply expert-level knowledge of AzaraAI and analytics tools to deliver innovative solutions for complex business requirements.
• Overlay client insights, market data, and research to enrich analytics and support JLL solution cross-selling.
• Mentor and coach Analytics Specialists and contribute to team capability development.
• Partner with offshore technical delivery teams to ensure successful solution implementation.

Senior Analytics Specialist

• Work location - Hybrid 1 This role requires associates to be in-office 1 - 2 days per week
• Researches and synthesizes detailed clinical data related to pharmaceuticals
• Proactively identify utilization management (UM) strategies that enhance the member experience while delivering positive financial outcomes
• Analyze prior authorization (PA) data and trends to develop recommendations, considering rebates, member impact, and operational efficiency
• Monitor and evaluate UM performance to ensure effectiveness and alignment with organizational goals
• Report on PA performance metrics to support data-driven decision-making across teams
• Forecast the potential financial and administrative impact associated with UM initiatives
• Track the financial impact of recently implemented UM
• Build and maintain strong cross-functional relationships with Trade, Formulary, Clinical, and Actuarial teams to collaboratively develop and implement UM solutions
• Supports therapeutic class reviews and drug monograph information to the Pharmacy and Therapeutics Committee
• May review and approve or deny coverage for pharmaceuticals (as permitted by state/federal law or state/federal program contracts) based on medical necessity criteria, and coordinates with internal stakeholders or health plan medical directors as needed
• Serves as a clinical resource to other pharmacists on areas such as prospective, inpatient and retrospective DURs and provides dosage conversion and clinical support for therapeutic interventions
• Prepares information for network physicians

Clinical Pharmacist – Data Analytics

• Lead end‑to‑end analytics across Consumer Banking to improve customer acquisition, relationship deepening, retention, profitability, and operational efficiency.
• Define and implement KPIs, dashboards, and performance metrics aligned to business outcomes.
• Develop and deploy predictive AI/ML models, segmentation frameworks, and product and pricing analytics.
• Apply advanced statistical methods to analyze, synthesize, and interpret complex data.
• Ensure insights strategies align with Consumer Banking goals and expected outcomes.
• Present insights in clear, visually compelling formats for executive and business audiences.
• Identify, acquire, and manage data sources while ensuring data quality, governance, and security.
• Build a deep understanding of customer needs, sentiments, and pain points to enable empathetic, customer‑centric decision‑making.
• Map and analyze end‑to‑end customer journeys to identify opportunities to improve experiences across touchpoints.
• Design and lead qualitative and quantitative research to inform CX strategy, product innovation, and service improvements.
• Leverage VoC, CSAT, behavioral analytics, and journey insights to drive continuous CX improvement.
• Champion and partner on inner‑ and outer‑loop CX processes to ensure insights lead to action.
• Collaborate with Product, Marketing, Business Line, and Technology partners to optimize experiences and expand self‑service capabilities.
• Build, lead, and develop high‑performing teams of data scientists, analysts, CX strategists, and researchers.
• Serve as a trusted advisor and thought leader to senior and executive leadership.
• Align analytics and CX initiatives with enterprise and Consumer Banking strategies.
• Drive transformation initiatives focused on efficiency, scalability, and impact.
• Anticipate and respond quickly to changing market conditions, technologies, and customer expectations.
• Provide overall operational leadership, including financial management, vendor and agency oversight, and talent planning.

Head of Consumer Bank Data Analytics, CX and Research

• Conduct in-depth analyses of producers' books to identify potential cross-sell leads and help build a pipeline of cross-selling opportunities.
• Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial health indicators, current broker/advisor capabilities, etc, to spot opportunities.
• Identify trends within the data and provide actionable insights and recommendations for producers.
• Generate reports in Power BI, Excel, and other tools based on collected data.
• Build and maintain relationships with producers, the regional cross-selling team, and other business stakeholders.
• Perform additional job-related duties as needed

Cross-Sell Data Analyst, Dynamics 365

• Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment
• Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work
• Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports
• Manage workload distribution across the team to balance competing priorities and deadlines
• Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership
• Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use
• Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures
• Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data
• Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts
• Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels
• Lead the team in producing product development deliverables on schedule and to specification
• Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements
• Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency
• Support internal deliverables for client-facing and research projects. Coordinating with project leads to understand requirements and timelines
• Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders
• Ensure all project deliverables meet data governance, compliance, and contractual requirements
• Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency
• Implement best practices for quality assurance and testing, including QAT and UAT support
• Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate
• Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives.

Data Analytics Manager – Health Research Team

• Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics
• Assist with creation of branding, communication, and training materials
• Translate complex data findings into clear, concise, communications for diverse audiences
• Develop and maintain digital asset libraries (e.g., multimedia content, documents) for easy retrieval and reuse

Technical Communications, Data Analyst

• Support ARR modelling, forecasting, and variance analysis across the business
• Develop and maintain customer account stratification frameworks (by size, industry, engagement, health score, etc.)
• Monitor customer activities and engagement patterns to identify trends and opportunities
• Analyze drivers of New Logo ARR, Expansion, Contraction, and Churn
• Build predictive models for revenue forecasting and customer behavior
• Build and maintain KPI metrics including: Annual Recurring Revenue (ARR), Net Revenue Retention (NRR), Gross Revenue Retention (GRR), Customer Acquisition Cost (CAC), and Lifetime Value (LTV)
• Design and implement dashboards and reporting systems that serve as the single source of truth for business performance
• Build and maintain executive dashboards using Power BI and other BI tools
• Ensure data accuracy and consistency across all revenue systems (CRM, billing, product analytics, etc.)
• Create board-ready reporting packages for executive leadership
• Establish and document data governance standards and best practices
• Perform data validation, reconciliation, and anomaly detection across systems
• Highlight growth opportunities, risk areas, and efficiency improvements
• Conduct cohort analyses, retention studies, and revenue waterfall analyses
• Partner with Sales, Customer Success, Product, and Finance teams to drive data-informed decisions
• Supporting optimization of end-to-end SaaS reporting
• Partner with RevOps and Sales leadership to ensure metric alignment and data accuracy
• Develop and maintain documentation for data definitions, metrics, and processes
• Continuously improve data collection, processing, and reporting workflows

Lead Revenue and Data Analyst

• Maintain the KPI standards for Customer Support: document how each metric is calculated and interpreted, keep definitions current across data platforms, and flag to leadership when targets may need adjustment.
• Build and maintain dashboards in Omni Analytics (our BI platform) that serve analyst, manager, and leadership audiences; maintain the semantic layer and metric definitions so every team measures the same things the same way.
• Produce formal analyses and recommendations on volume trends, resolution efficiency, CSAT, contact rate, and cost performance; frame findings in terms of business impact, not just numbers.
• Identify anomalies and performance gaps in Support data; bring a recommended course of action to leadership rather than a flag, and track the response through to resolution.
• Consult on SQL, Snowflake, and BI standards used for Support reporting; ensure Support modeling approach, query patterns, and tooling match organizational standards.
• Lead metric alignment conversations with Data, Product, and Engineering; represent Support's analytical interests and keep shared definitions from drifting.
• Triage and scope ad hoc analysis requests from across the organization; exercise judgment on urgency, feasibility, and which questions are worth answering.

• Define and lead enterprise connected asset (Machines & Engines) data quality strategy aligned to business objectives and platform architecture.
• Establish standardized data quality frameworks, rules, and metrics (completeness, accuracy, timeliness, consistency).
• Design and implement scalable data validation, monitoring, and anomaly detection solutions.
• Ensure integration of data quality controls within data pipelines, APIs, and platforms.
• Partner with architecture teams to embed data quality by design in system development.
• Drive adoption of AI/ML techniques for data profiling, anomaly detection, and root cause analysis.
• Implement automated data quality checks within CI/CD and data pipelines.
• Enable predictive data quality monitoring using telemetry, logs, and metadata insights.
• Improve efficiency and coverage through automation and intelligent rule generation.
• Build, mentor, and lead a team of data quality engineers and analysts.
• Develop capabilities in data engineering, automation, and quality engineering practices.
• Foster a culture of quality, accountability, and continuous improvement.
• Manage resource planning, hiring, performance coaching, and career development.
• Collaborate with software engineering, data engineering, analytics, and product teams to define quality requirements and SLAs.
• Partner with program and platform teams to ensure data quality readiness for releases and NPI programs.
• Drive issue resolution workflows and root cause analysis for data defects.
• Communicate data quality health metrics and risks to leadership.

Senior Manager – Data Analytics

• Deliver data-driven actionable insights and strategic recommendations
• Empower Cloud Leaders to drive various programs within Customer Success
• Collaborate with different teams within CSG
• Demonstrate versatility in tackling a variety of problem statements
• Provide timely responses to leadership inquiries
• Work outside standard hours when needed

Data Analytics Analyst/Manager

• Build, validate, and deploy predictive analytics models to forecast hiring trends, attrition risks, and talent supply gaps.
• Apply machine learning techniques (such as regression, classification, or natural language processing) to uncover deeper insights within recruiting and workforce planning datasets.
• Translate complex ML model outputs into actionable, strategic recommendations and clear data stories for recruiting leadership.
• Maintain and manage key Tableau dashboards, integrating predictive insights and advanced data models into user-friendly visualization tools.
• Automate manual reporting workflows and pipeline tasks to scale insight delivery across the organization.
• Partner with Finance, Workforce Planning, IT, and Data Engineering to align data pipelines and scale the infrastructure required for advanced analytics.
• Adapt quickly to changing priorities to ensure timely delivery in a dynamic environment.

Senior Analyst, Recruiting Data Analytics

• Develop custom HSE applications, scripts, and digital workflows (e.g., incident reporting, inspection forms, audit tools)
• Build and maintain automation using platforms like Power Automate, SharePoint, Power Apps, or internal systems
• Support HSE databases, ensuring data structure integrity and efficient performance
• Troubleshoot system issues and implement improvements
• Build dashboards and reports (Power BI, or internal tools) that visualize key HSE metrics (TRIR, LTIFR, near misses, hazard reports, leading indicators)
• Ensure data accuracy, completeness, and timely reporting
• Support integration between HSE systems and HR, operations, or contractor platforms (e.g., ISNetworld)
• Manage user access, permissions, and configuration settings within HSE software tools
• Support compliance tracking for OSHA/CSA reporting and environmental requirements
• Work with HSE Managers, field teams, and operations to gather requirements for new tools or system enhancements
• Participate in the development and rollout of digital training modules
• Support major projects by creating digital tools for risk assessments, JSEAs, LOTO libraries, and high-risk task workflows
• Ensure HSE digital tools follow IT and cybersecurity protocols

HSE Data and Analytics Specialist

• Responsible for analytic data needs of the business unit
• Handle complex data projects and acts as a lead for other Data Analysts
• Provide advanced analytical support for business operations in various areas
• Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources
• Review data to determine operational impacts and needed actions
• Develop reports and deliverables and make recommendations to management
• Assist management in driving business decisions based on data
• Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analyses
• Assist with training and mentoring other Data Analysts
• Performs other duties as assigned

Data Analyst IV, Provider Data, SQL

• Develop and maintain dashboards and reports using Power BI and other analytics tools
• Build and support datasets, queries, and data models to meet operational reporting needs
• Own and maintain a standard suite of recurring operational reports and performance summaries for leadership and operations teams
• Partner with Operations teams to understand reporting requirements and deliver actionable insights
• Translate data into clear, concise outputs for both technical and non-technical stakeholders
• Adapt and maintain reporting solutions in alignment with evolving enterprise data strategy and infrastructure
• Identify opportunities to improve reporting processes and enhance data accessibility
• Validate data accuracy and ensure consistency across reporting outputs
• Support enhancements to reporting frameworks, metrics, and KPI definitions
• Collaborate with IT, data teams, and other stakeholders on data availability and integration

• Independently — and with our team — investigate complex business problems using a combination of structured and unstructured datasets and analytical tools
• Identify, collect, scrape, store, pre-process, manipulate, merge, model, and analyze large datasets from multiple internal and external sources
• Develop scalable analytical workflows and automate processes that improve the efficiency, repeatability, and speed of insight delivery
• Use Python and modern AI-assisted workflows to rapidly prototype analyses
• Identify meaningful trends, anomalies, and strategic opportunities across healthcare and marketing datasets
• Translate complex analyses into clear, story-driven insights and data visualizations tailored to all partners
• Collaborate with strategists, creative, account, engagement managers, other analysts, and leadership teams
• Operate with ownership, curiosity, and accountability

• Utilize Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Senior Data Analyst – Global Payment Network

• Understands and articulates the business case of business questions
• Designs dashboards and analyses
• Identifies trends and patterns and provide insights through reporting and data visualization techniques
• Works with other data and analytics professionals
• Builds various reporting dashboards using appropriate data extraction and visualization techniques
• Researches continuous improvement in data visualization
• Develops tools and delivers training programs for reporting tools and self-serve analytics

Data Analyst, Visualization

• Applies strong functional knowledge and elicitation techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders.
• Work together with internal partners, determine needs, gather requirements, and develop solutions for data assets and reporting.
• Performs requirements planning, monitoring and requirements management.
• Independently performs rigorous data analysis, data discovery and data profiling using industry standard querying tools (SQL) to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
• Maintains data mapping documents, bus matrix and/or other data design artifacts that define business data requirements and transformation rules.
• Act as liaison and advisor/consultant between the business and IT stakeholders providing thought leadership.
• Lead responsibility in mentoring, instructing, assigning, directing, and checking the work of Business Data Analysts within their group.
• Acts as a change leader to help and drive implementation of industry best practices.
• Provides support and consulting by answering questions, researching possible solutions to complex problems, and fostering open communication between the customer and development team.
• Identifies logical, relevant business, data relationships between complex topics in the broader context of own project or functional area.
• Identifies choices and improvement opportunities to better align own work with the direction and strategic priorities of the broader organization.
• Conduct root cause analysis on identified issues, providing assistance to resolve data quality problems.
• Supports the upkeep of data mapping documents and other design artifacts that outline business requirements and transformation rules.
• Foster a positive work environment by exemplifying cultural values and encouraging others to promote collaboration, accountability, diversity, and continuous improvement.

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