Data Analyst

• Partner with key stakeholders to define success and develop measurement frameworks
• Dive deep into complex business problems and provide insights on merch performance through hypothesis testing
• Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations
• Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain
• Own the definition and implementation of new metrics
• Find opportunities to use data to develop new strategies and improve overall performance
• Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners
• Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise
• Reconcile divergent demands from multiple stakeholders in a fast-paced work environment
• Mentor more junior team members on analytics, storytelling and communication best practices
• Influence and support the Center of Excellence standards and best practices of analytics
• Use advanced analytical and statistical practices to create thorough and actionable insights

Data Analyst 3, Merchandising Customer Insights

• Act as an internal consultant to help PSJH regional executives and system leadership succeed in value based contracts and government programs.
• Use internal tools, vendor solutions, published literature and other sources to make presentations with actionable recommendations to leadership.
• Use the Enterprise Data Warehouse to run queries and produce ad hoc reports when information is not available elsewhere in the organization.

Senior Business Data Analyst

• 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

• 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.

• Partner with key stakeholders to define success and develop measurement frameworks
• Dive deep into complex business problems and provide insights on merch performance through hypothesis testing
• Responsible for delivering a suite of analytical products include analyses, dashboards, insights, and recommendations.
• Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
• Own the definition and implementation of new metrics.
• Find opportunities to use data to develop new strategies and improve overall performance.
• Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners.

Data Analyst 2, Merchandising Customer Insights

• Lead end-to-end data analysis projects supporting divisional priorities while contributing to broader enterprise initiatives that influence business performance and member outcomes.
• Leverage advanced analytical techniques, industry research, and business knowledge to uncover trends, opportunities, and recommendations for strategic decision-making.
• Partner with stakeholders to identify opportunities for cost reduction, revenue growth, operational efficiency, and enhanced member experiences.
• Take ownership of the debit analytics ecosystem, redesigning and modernizing reporting capabilities to create scalable, actionable insights for product leaders and business partners.
• Transform complex data from multiple sources into meaningful business intelligence that supports product innovation and strategic planning.
• Design scalable dashboards and reporting solutions for informed organizational decision-making.
• Translate complex analyses into clear, actionable recommendations through visualizations and presentations.
• Guide teams through experimental design and interpretation of results with A/B testing efforts.
• Continuously refine KPIs, reporting methodologies, and performance measurement practices to improve visibility.
• Create reusable transformation logic and scalable datasets using Snowflake and advanced SQL techniques.
• Identify opportunities to enhance data infrastructure and workflows.
• Mentor and develop others within the analytics community, promoting best practices and analytical standards.

Senior Data Analyst

• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives
• Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

Principal Data Analyst – Revenue Cycle

• Provide meaningful business value through data visualizations
• Design, develop, and maintain interactive dashboards and reports using Power BI, Google Looker Studio, and Tableau.
• Collaborate with enterprise data analysts and data engineers to identify and acquire data, build data preparation workflows, govern, secure, and share data assets.

Junior Data Analyst

• Own the Corporate Dashboard Portfolio: Design, build, and maintain Tableau dashboards spanning key corporate metrics, with a primary focus on ARR, incremental ARR, net revenue retention (NRR), acquisition, upsell, downsell, and churn.
• Deliver Analytical Insights: Go beyond reporting — proactively surface trends, anomalies, and opportunities across corporate and revenue data and present findings to senior leadership.
• Partner with Stakeholders: Serve as the primary analytics point of contact for executive and cross-functional teams, translating business questions into data-driven answers.
• Write and Optimize SQL: Query large-scale databases to extract, transform, and validate data for dashboards and ad hoc analyses.
• Maintain Data Quality: Collaborate with data engineering to ensure upstream data pipelines produce accurate, timely inputs for reporting.
• Drive Continuous Improvement: Identify opportunities to improve existing dashboards, automate manual reporting, and introduce new analytical capabilities — including AI-assisted tools where appropriate.
• Document and Standardize: Establish clear definitions, data dictionaries, and best practices for corporate and ARR-related metrics across the organization.

• Perform deep data analysis to identify trends, anomalies, variances, and forecasting improvement opportunities.
• Support senior data scientists with model inputs, backtesting, validation, and performance analysis.
• Monitor forecast accuracy, bias, and overall health of forecasting solutions.
• Analyze data quality issues and understand business drivers.
• Build analytical datasets and reports to support forecasting and supply chain planning.
• Develop dashboards and KPI reporting using Power BI or similar analytics platforms.
• Collaborate with business teams and data scientists to improve decision-making.
• Automate recurring analysis using SQL and Python.
• Ensure strong data governance and reliable data availability.

Senior Data Scientist, Data Analytics

• Elicit, capture, and document business requirements, use cases, user stories, acceptance criteria, and detailed functional specifications
• Translate business/legal/operational terminology into technical requirements for system architects and programmer analysts
• Create test cases, test plans, and validation procedures
• Execute functional, integration, regression, and user acceptance testing
• Document results and manage defects through resolution
• Validate and reconcile data across systems; design test datasets
• Produce clear technical documentation, diagrams, sequence/flow charts, and API contracts
• Collaborate with product owners, security, DevOps, programmer analysts, QA, and infrastructure teams
• Participate in sprint planning, backlog grooming, and release activities
• Support troubleshooting and root cause analysis for incidents affecting applications and integrations
• Contribute to continuous improvement initiatives

Senior/Mid-Level Systems and Data Analyst

• Report directly to the Chief People Officer (CPO) and serve as a strategic thought partner on compensation and People Analytics initiatives
• Own and execute the end-to-end compensation cycle, including modeling increases, promotions, band updates, calibration support, and budget tracking
• Consolidate, clean, and structure People data across HRIS, ATS, and Finance systems in partnership with People Ops to create scalable, reliable datasets that enable meaningful analytics
• Manage off-cycle compensation adjustments, market reviews, and new hire band alignment
• Build, refine, and maintain scalable compensation bands and benchmarking frameworks
• Design and own advanced People Analytics to drive deep insights and inform Front’s people strategy
• Provide People Analytics and insights for executive audiences and the Board of Directors
• Lead analytics for the semi-annual engagement survey, including reporting, insight generation, and actionable recommendations
• Partner with the CPO on executive-level reporting including attrition trends, headcount strategy, retention analysis, engagement insights, and talent health metrics
• Deliver quarterly compensation reports to benchmarking partners such as Radford
• Partner closely with Finance on headcount planning, scenario modeling, and compensation budget alignment
• Identify opportunities to reduce manual modeling work through improved spreadsheet architecture, automation, and AI-enabled workflows
• Act as a strategic thought partner in evolving Front’s compensation philosophy, analytics maturity, and long-term People strategy

Senior Compensation & Analytics Manager

• Elicit, capture, and document business requirements, use cases, user stories, acceptance criteria, and detailed functional specifications
• Translate business/legal/operational terminology into technical requirements
• Create test cases, test plans, and validation procedures
• Validate and reconcile data across systems; design test datasets
• Produce clear technical documentation, diagrams, sequence/flow charts, and API contracts
• Collaborate with product owners and infrastructure teams
• Participate in sprint planning, backlog grooming, and release activities
• Support troubleshooting and root cause analysis for incidents

• Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units.
• Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants.
• Present findings and recommendations to business leaders in a compelling, accessible way.
• Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more.
• Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas.
• Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business.

People Analytics Analyst

• Conduct thorough research and identify data sources on science, technology, and innovation trends
• Create and clearly communicate results of analysis for distribution within and outside the department
• Identify data sources and create digital and visual content that communicates policy on science, technology, and innovation issues
• Additional visualizations will be presented for science diplomacy programs
• Format of visualizations will be both interactive (on ISTIX) or stagnant (paper or presentations)
• Work with client stakeholders and bureaus and interagency partners to ensure written and visual content on ISTIX is up to date and factually accurate
• Support the onboarding and training of interagency users to the ISTIX
• Assist in efforts to advance science diplomacy through various activities

Data Analyst, Visual Content

• Support supply chain operations by collecting, validating, and maintaining critical datasets required for upcoming initiatives and launches
• Build, maintain, and improve Bills of Materials (BOMs) to ensure supply chain data accuracy
• Develop and maintain Power BI dashboards to provide operational and supply chain insights
• Analyze inconsistent or incomplete datasets and implement improvements to data quality and reliability
• Coordinate changes to databases, including testing and implementation of updates
• Design, implement, and maintain database structures and ETL processes to support large‑scale data needs
• Write logical and physical database descriptions and define identifiers for database management systems
• Modify and optimize existing databases and reporting processes as business needs evolve
• Partner with technical, business, and operations stakeholders to define requirements, metrics, and reporting standards
• Test data systems and reports, troubleshoot issues, and implement corrections as needed.

Data Analyst – Supply Chain

• Organize and analyze data across a variety of formats to support Pearl’s provider submission process, inclusive of ACO Operations team workflows.
• Build and maintain structured datasets and tracking tools to support team reporting, leveraging AI tools.
• Collaborate cross-functionally to address provider submission and workflow gaps.
• Adapt quickly to shifting priorities, bringing exceptional attention to detail and a proactive, solutions-oriented approach to every task.

Data Analyst, ACO Operations – Part Time, Contract

• Provide strategic data analysis support for U.S. Government financial crime and illicit finance investigations by preparing, analyzing, and interpreting large financial and investigative data sets related to money laundering, terrorist financing, proliferation financing, cyber‑enabled financial crime, and other illicit activity.
• Support investigations by preparing, cleansing, structuring, and validating large financial and investigative data sets collected through special authorities and other sources to ensure data quality, integrity, and usability.
• Perform data analysis to identify patterns, trends, typologies, and investigative leads related to illicit finance, supporting both known targets and the identification of new investigative targets.
• Pair and integrate BSA‑derived data with other data sources, including open‑source information, financial data, and information provided by government or law enforcement partners, to enhance analytical insight.
• Conduct documented and repeatable analytical workflows, ensuring methods, assumptions, and outputs are clearly recorded and reproducible by others.
• Support investigators by translating analytical results into clear written findings, visualizations, or briefing materials in support of investigative and policy decisions.
• Utilize government‑provided analytical tools and environments to query, analyze, and visualize financial transaction data.
• Maintain accurate documentation of analytical work, support tracking and reporting requirements, and contribute to quality control processes for analytical deliverables.
• Collaborate closely with investigators and government counterparts to align analytical efforts with investigative priorities and mission needs.

Financial Investigations Data Analyst

• Provide direct operational support for ongoing, high-priority action items for the program leadership team.
• Produce regular status reports, pivot tables, and data visualizations to demonstrate progress on key initiatives.
• Develop and maintain data models to collect, review, and analyze data related to program-level issues and risks.
• Analyze workflows and data to identify insights and trends related to EHR implementation challenges.
• Create clear, compelling data visualizations (charts, graphs, dashboards) that communicate status and performance to a senior audience.
• Assist in the development and documentation of process flows and governance models for managing priority items.
• Support collaboration and data sharing between different program teams.

• Support the clean water group
• Analyze metrics of success and develop data-driven insights
• Communicate recommendations in a clear and compelling fashion
• Work with the end-client’s unique data to improve the effectiveness of water infrastructure implementation

See all jobs on JobTailor

Data Analyst 3, Merchandising Customer Insights

Senior Business Data Analyst

Technical Communications, Data Analyst

Data Analyst

Data Analyst 2, Merchandising Customer Insights

Senior Data Analyst

Principal Data Analyst – Revenue Cycle

Junior Data Analyst

Senior Data Analyst

Senior Data Scientist, Data Analytics

Senior/Mid-Level Systems and Data Analyst

Senior Compensation & Analytics Manager

Senior/Mid-Level Systems and Data Analyst

People Analytics Analyst

Data Analyst, Visual Content

Data Analyst – Supply Chain

Data Analyst, ACO Operations – Part Time, Contract

Financial Investigations Data Analyst

Data Analyst

Data Analyst II