Data Analyst

• Act as the primary point of contact for reporting and data-related production issues.
• Investigate, troubleshoot, and resolve incidents related to SQL queries, ETL processes, and Tableau dashboards.
• Analyze data to identify anomalies, root causes of reporting errors, and patterns in data quality issues, providing actionable resolutions to stakeholders.
• Maintain and enhance existing customized reports and interactive dashboards.
• Optimize report performance and SQL query efficiency to minimize processing time and resource utilization.
• Evaluate incoming support tickets, perform needed research, resolve issues where possible, and properly route complex bugs to IT Development or Data Engineering teams.
• Perform routine quality assurance checks on reports and data feeds to ensure ongoing accuracy, consistency, and compliance with department standards.
• Provide hands-on training and ongoing support to users on accessing, troubleshooting, and interpreting existing reports effectively.
• Maintain and update documentation for existing report specifications, data dictionaries, design logic, and support processes for future reference and audit purposes.
• Propose and implement enhancements to improve the reliability, monitoring, and uptime of existing reporting processes.

Analytics Analyst – IT

• Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings.
• Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work.
• Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day.
• Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means.
• Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy.
• Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business.
• Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve.
• Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work.
• Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side.

• Perform ongoing tracking, analysis and revisions as required for supported areas of O&M and capital costs
• Work with Business Area leaders to provide projections of the impact of deviations on the financial outlook for the remainder of the year
• Prepare internal and external reports, and identify and resolve moderate to complex data issues
• Analyze financial data to identify adverse trends and recommend solutions to mitigate financial impact
• Effectively communicate results through concise oral and written communications
• Provide financial analysis and support to management for the annual budget process, as well as modeling, analysis and financial support for current year and five year forecasting
• Document key processes of supported areas to ensure consistency and compliance with legal and regulatory requirements
• Provide proactive process improvement recommendations and assist in implementing the accepted solutions
• Prepare rate case information and analysis as required to support submission
• Assist in performing regulatory support for requests or associated schedules
• Performs and assists with special projects as assigned

Senior Financial Data Analyst

• Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
• Helps advise business, applications and operations counterparts to ensure data integrity and availability.
• Structures the environment and creates logical storage units especially for size and physical locations, to map database elements into logical units.
• Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
• Resolves data integration and security issues for adherence to the organization's quality standards.
• Researches customers needs, conducts awareness and promotional sessions for potential customers.

Senior Enterprise Data Operations Analyst – Data Analyst Senior, SQL, AI Tools, Agile, Jira

• 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.

• Collect, integrate, clean, and model data from multiple systems to support accurate analysis and reporting
• Analyze data to identify trends, risks, lifecycle status, technical debt, and system performance across service areas
• Develop dashboards and visualizations that clearly convey insights to technical and nontechnical audiences
• Recommend improvements to data processes, data quality, and workflow automation
• Track and report asset lifecycle data, project standings, schedules, and metrics supporting operational and tech refresh activities
• Prepare accurate datasets and analytical summaries to support forecasting, planning, and leadership decision making
• Respond to data requests and RFIs across engineering, operations, and tech refresh teams
• Produce high quality analysis artifacts and contribute to enterprise reporting and visualization products
• Analyze patching, compliance, and vulnerability data to identify noncompliant assets, track remediation progress, and support reporting requirements
• Produce weekly or monthly dashboards and metrics showing patch status, compliance trends, and security posture across systems and environments

Data Analyst – TS/SCI with Polygraph

• Serve as a trusted advisor to commercial and executive leaders by translating data into strategic insights and recommendations
• Support annual planning, forecasting, and long-range strategy through customer, market, pricing, and profitability analysis
• Own the design, tracking, and interpretation of core commercial KPIs (e.g., revenue, margin, pricing, mix, customer profitability, pipeline, churn)
• Lead regular performance reviews (monthly/quarterly) and provide insightful narratives on results, risks, and opportunities
• Partner with pricing, finance, and commercial teams to evaluate pricing strategies, discounting, and margin leakage
• Guide the development of dashboards and reporting that are insight-led, decision‑oriented, and executive-ready
• Collaborate closely with Commercial, Finance, Marketing, Sales, Operations, and Data teams

Commercial Insights Analytics Manager

• 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

• Support Cost Managers in maintaining accurate and consistent cost data structures across multiple active projects.
• Aggregate, clean, and analyze project cost data to support forecasting, reporting, and decision-making.
• Prepare corporate reporting materials, including dashboards, presentations, and executive summaries for senior leadership.
• Conduct benchmarking analysis by comparing cost and schedule data across projects, regions, and scopes to identify trends, variances, and key drivers.
• Assist in establishing and maintaining cost baselines and unit rate libraries for key data center construction components (e.g., MEP systems, structural, and site work).
• Collaborate with cross-functional teams to ensure data accuracy, consistency, and alignment with project and corporate standards.
• Support development of data visualization tools and dashboards to enhance transparency and usability of cost data.
• Validate and reconcile data from multiple sources, ensuring integrity and reliability of reporting outputs.
• Assist with ad hoc analysis and reporting requests from project teams and senior leadership.
• Effectively communicate insights, trends, and recommendations to both technical and non-technical stakeholders.
• Conduct all work with a high level of integrity and attention to detail, ensuring confidentiality and accuracy of sensitive financial data.

Data Analyst – Data Center Project Controls

• Own your opportunity to support national defense
• Play a key role in transforming complex operational, lifecycle, and technical data into actionable insights
• Analyze data trends, validate system information, enhance reporting processes
• Help advance automation and data quality efforts that support mission critical IT services
• Collect, integrate, clean, and model data from multiple systems to support accurate analysis and reporting
• Develop dashboards and visualizations that clearly convey insights to technical and non-technical audiences
• Recommend improvements to data processes, data quality, and workflow automation
• Track and report asset lifecycle data, project standings, schedules, and metrics supporting operational and tech refresh activities
• Prepare accurate datasets and analytical summaries to support forecasting, planning, and leadership decision making
• Respond to data requests and RFIs across engineering, operations, and tech refresh teams
• Produce high-quality analysis artifacts and contribute to enterprise reporting and visualization products
• Analyze patching, compliance, and vulnerability data to identify noncompliant assets, track remediation progress, and support reporting requirements
• Produce weekly or monthly dashboards and metrics showing patch status, compliance trends, and security posture across systems and environments

Data Analyst – TS/SCI, Polygraph

• Own your opportunity to support national defense
• Transform complex operational and technical data into clear, compelling visual insights that empower leadership decision making across globally distributed environments
• Design intuitive dashboards, visual products, and analytic displays that communicate trends, risks, and performance outcomes
• Create clear, modern data visualizations, dashboards, charts, tables, and maps that communicate insights effectively
• Translate analytical findings into static and interactive visual products using design tools and enterprise visualization platforms
• Combine analytical, artistic, and technical skills to produce graphics for briefings, reports, presentations
• Collect requirements, define project scope, outline technical summaries, and develop mockups for data visualization products
• Build, enhance, and automate dashboards and analytic products to support operational analysis
• Maintain a consistent, modern design aesthetic across all visualizations
• Prioritize and manage multiple visualization projects simultaneously

Data Visualization Analyst – TS/SCI, Polygraph

• Act as a key intermediary between business stakeholders and technical teams
• Translate business requirements into clear and actionable specifications
• Analyze intricate challenges and provide practical solutions
• Mentor junior team members to enhance their skills and knowledge
• Uphold exceptional standards in project deliverables and client interactions
• Build and maintain sturdy relationships with clients in the healthcare sector
• Navigate the complexities of data governance and its implications
• Leverage SQL proficiency to drive impactful data solutions

Senior Business Analyst, Data Analytics & Insights Managed Service, Basic SQL, Health Care Domain

• Execute and analyze lead prioritization and automated engagement actions.
• Develop insights and understanding of business performance based on data and statistical methods.
• Communication and presentation of reports and in-depth analysis, including recommendations for optimizing campaigns, business processes and sales efficiencies.
• Provide analytics and improvement recommendations related to rep/agent productivity, sales metrics, process efficiencies and strategy forecasts.
• Maintain a thorough knowledge of the business and systems within the supported group; analyze systems and sales processes.
• Resolve technical issues, such as report/query malfunction, lapse in visualization stability/functionality and lead distribution mechanics.
• Assist team members as needed.

Senior Business Analytics Analyst, Marketing

• Own and execute the Workday reporting and analytics strategy (standard reports, dashboards, Discovery Boards , Prism Analytics, and related data products)
• Serve as the SME for Workday reporting tools and the Workday data model; define standards, architecture, data definitions, and governance
• Translate business reporting needs into scalable Workday solutions and a prioritized delivery roadmap
• Lead Workday data extraction and downstream consumption (RaaS, APIs/integrations), optimizing performance, volume, and security constraints
• Own the Prism Analytics roadmap (use cases, sourcing, transformations, and lifecycle management) and support delivery across deployments and releases
• Provide technical leadership: documentation, mentoring, complex issue resolution, and alignment with integration, security, and compliance teams
• Drive continuous improvement by staying current on Workday capabilities, best practices, and industry trends; build and maintain a peer network

Workday Platform Reporting & Analytics Manager

• Lead analytical initiatives supporting Medicare and CMS Risk Adjustment programs
• Analyze large healthcare datasets (claims, encounters, enrollment, chart reviews, and clinical data) to: Identify RAF optimization opportunities
• Monitor coding accuracy and completeness
• Assess financial and operational impact of risk score changes
• Develop and maintain SQL‑based data pipelines and analytic models in large data warehouse environments
• Produce executive‑level reporting and dashboards addressing: HCC performance
• Coding gap closure
• Suspect and recapture outcomes
• Provider and member impact
• Translate CMS regulations, risk adjustment models, and technical findings into clear business insights
• Partner with coding, clinical, compliance, and operational leaders to support risk‑adjustment initiatives
• Serve as a subject matter expert on Medicare data, metrics, and CMS standards
• Lead or support analytic projects end‑to‑end, including scope definition, analysis, and stakeholder delivery

Senior Healthcare Data Analyst

• Accountable for strategic, tactical, operational, and financial responsibilities associated with CoSA data storage, data preparation, data exploration, information governance, analytics, and information delivery.
• Accountable for defining and developing business data & analytics strategy to enable achievement of business goals and objectives.
• Collaborate with company and staff agency data and analytics leaders to identify and deliver actionable insights and products to further USAA’s business strategy.
• Provide data & analytics products using Agile methodologies to enable fact based, enterprise decisions that drive the achievement of USAA’s mission and goals.
• May be assigned by the Chief Data & Analytics Officer, to chair high-level cross-business teams to identify strategy synergies and translating these insights into actionable, compliant deployments.
• Provide strategic direction and thought leadership to the Data and Analytics Community across USAA.
• Keep current of industry leading practices and advances in across all data & analytics sub-functions as well as the business associated with the assigned CoSA.
• Fosters analytical innovation and promotes the importance of data literacy through sharing of analytics knowledge and best practices.
• Responsible for educating, overseeing and monitoring CoSA adherence with Information Governance policy and standards.
• Builds and oversees a team of employees for assigned functional areas through ongoing execution of recruiting, development, retention, coaching and support, performance management, and managerial activities.
• Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Assistant Vice President – Business and Data Analytics

• Lead client-facing discovery sessions to elicit, document, and prioritize business requirements with operators, analysts, and executives
• Translate ambiguous business problems into structured analytical work: data models, dashboards, KPI frameworks, and decision-support tools that get adopted
• Write production-quality SQL against Snowflake, Databricks, BigQuery, or Redshift, and build trusted models in dbt or the client's modeling layer
• Build and maintain dashboards and reporting in Looker, Tableau, Power BI, Sigma, or the tool the client lives in
• Drive proactive analysis: surface trends, anomalies, and opportunities the client did not ask about but needs to see
• Apply AI tooling (LLM-based analysis, natural language to SQL, agentic data exploration, AI-assisted documentation) to compress timelines and raise the quality bar on every deliverable
• Set the cadence for client communication: status updates, demos, working sessions, and stakeholder reviews
• Mentor junior analysts on the engagement and contribute to BOD's analytics playbooks, templates, and internal tooling

Senior Business Data Analyst

• Prepare reporting/statistical analysis for Supply Chain processes and understand how analysis impacts overall Supply Chain processes
• Support data management needs and activities
• Identify and implement process/system improvements in Supply Chain
• Standardize and optimize process design
• Develop and conduct training for internal/external customers on Supply Chain processes
• Perform in-depth research on complex audit questions, software system, or transactional problems
• Provide customer service support by assisting as a technical and informational resource to resolve questions/issues
• Utilize report writing tools to create insightful reporting from various data sources to monitor Supply Chain key performance metrics and exceptions
• Perform analysis (e.g., statistical, trend/correlation/control charts) to identify and proactively communicate trends, root causes, performance, etc
• Analyze reports to ensure data accuracy
• Lead the development of Process and System User documentation utilized by Supply Chain
• Develop and provide training on department systems and processes
• Review data quality issues and coordinate solutions with data owners
• Utilize project management skills to lead large projects to improve processes
• Communicate project milestones, obstacles, and progress
• Prepare management reports on program usage and compliance
• Reconcile and validate reports, troubleshoot technical problems, conduct testing, support system updates, and coordinate with IT staff
• Schedule independent reviews of processes, policy, procedures and/or contract quality
• Perform SOX assessment tests on Supply Chain controls
• Serve as a single point of contact for internal audits
• Accountable to correct & follow through on audit findings
• Identify, recommend, and write process controls, test scripts, and communications
• Audit, correct errors, and advise personnel on procedures to process Supply Chain transactions accurately
• Ensure compliance with associated corporate and regulatory requirements, such as sales tax, SOX, IRS, FERC

Supply Chain Data Analyst

• Design, develop, and implement a data-driven framework to identify, evaluate, and select business partners in support of a unified channel coverage model across Waters and BD.
• Partner closely with sales, marketing, commercial excellence, and product management teams across both organizations to align on data requirements, validate assumptions, and ensure the model meets operational and commercial needs.
• Gather, integrate, and analyze diverse data sources, including sales history, installed base data, product portfolio, market coverage, and organizational structures.
• Develop dashboards and visualizations that clearly synthesize insights and effectively communicate recommendations to stakeholders.
• Prepare and deliver weekly progress updates highlighting key accomplishments, risks, and next steps.
• Document analytical assumptions, data sources, and model logic to ensure transparency, scalability, and continuity beyond the duration of the internship.

Business Data Analytics Intern, Channel Coverage

• Directly build, test & maintain reporting and dashboard offerings for our customers (using Sigma and Snowflake plus AI automation to increase velocity)
• You'll help define what AI-assisted and AI-native data products look like for our customers: think predictive operational insights or AI-generated narrative summaries layered on top of reporting.
• You'll be part of shaping what's next — not just maintaining what's already been built.
• Create reports that are accurate, effective, and also aesthetically pleasing
• Work closely with customers to analyze data and ask questions about the product's performance and the business itself
• Work closely with Product Management and UI/UX to style and evolve the presentation of data reports and dashboards
• Actively identify up-sell opportunities with customers when premium or custom reports are applicable, or when Data Sharing via Snowflake, or API access is a value-add
• Coordinate and communicate effectively across engineering, customer support and product teams
• This role will also be part of future growth on this team, which may include being involved in the recruiting and interviewing process to keep and set the bar high for talent

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