Data Analyst

• Play a key role in helping Gravie to understand the performance of its business, understand new opportunities, and translate those insights into solutions that meaningfully improve the health benefits people get and the healthcare they receive.
• Ask and answer the right questions, including: How are we doing? What should we continue doing? What should we stop doing?  What should we start doing in the future?
• Take ownership of regular deliverables for various business units, leveraging multiple technologies to produce solutions that are consistent, accurate, and efficient.
• Assist in the design and execution of diverse quantitative and qualitative analyses to support the evaluation, management, and growth of new and existing products for areas across the business.
• Use analytic and communication skills to tell stories with data, transforming basic and complex datasets into clear, actionable insights for both technical and non-technical audiences to influence business decisions and product roadmaps.
• Support a culture of using data to inform decisions within the organization.
• Apply established quality assurance measures to ensure the accuracy, reliability, and consistency of all analytical deliverables.
• Contribute to the design, development, and enhancement of our growing analytics platform by partnering with cross-functional teams to effectively integrate data insights into business strategies and product improvements, in a robust and scalable fashion.
• Collaborate closely with other Analysts to share knowledge and best practices, fostering an environment of knowledge sharing and professional development.

• Own the end-to-end delivery of audience segmentation requests from Demand Generation teams
• Manage intake through Workfront, scoping requirements
• Build audience segments in Treasure Data and activate to downstream channels
• Manage the active request queue, maintaining delivery against agreed timelines
• Build audience segments directly in Treasure Data CDP, applying sound segmentation logic
• Develop working knowledge of the CDP data structure
• Work with AI-assisted audience generation via Treasure Data Audience Agent
• Apply consistent quality checks to all audience outputs
• Identify and escalate data quality issues within the CDP
• Maintain thorough documentation of segment definitions and QA outcomes
• Communicate with Demand Generation teams on requirements and any data constraints

Customer Data Analyst

• 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

• 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

• Ensure timely and accurate data standards and perform data entry of Equipment and Preventive Maintenance information in SAP Plant Maintenance module
• Collaborate with multi-disciplinary teams to align Safety, Health, and Engineering directives into Work Order generation
• Identify SAP master-data issues, recommend and implement solutions to optimize processes
• Participate in SAP enhancement processes, including requirements gathering and user acceptance testing
• Review projects monthly with Project Managers to identify Master Data requirements
• Support Project Managers with using FLOC and Equipment Load sheets
• Manage scenarios where projects are canceled or require no Master Data changes
• Run audit reports to identify projects requiring Master Data Notifications
• Create and assign Master Data Notifications based on project alignment
• Define and manage notification tasks (FLOC, Equipment, Maintenance Plan, GIS)

Project Master Data Analyst

• Assignments are ongoing according to expertise and school needs.
• Utilize your professional expertise to provide high-quality instruction from a pre-designed curriculum.
• Mentor doctoral learners and participate in doctoral committees.
• Provide relevant feedback and ensure successful completion.
• Be available within 48 hours by phone, email, and in the courseroom.
• Travel within the US to participate in doctoral residencies.
• Utilize the online learning platform to enrich the learning experience.
• Establish high standards and ensure learners understand how they will be evaluated.
• Adhere to University policies and procedures.
• Attend faculty meetings, workshops, and training as required.
• Participate in other activities based on university needs.

Part-Time Faculty – Undergrad/Graduate Data Analytics

• Understand the assigned business challenge and develop a plan to identify, obtain, and analyze the necessary data to drive improved business performance
• Analyze internal enterprise data, coupling statistical methods and data science to translate Mortenson’s core data into actionable business insights and predictive models from a variety of data sources
• Ability to analyze business issues using a variety of tools and approaches, and effectively explain findings to diverse audiences
• Develop, analyze, and model operational, economic, management, and other organizational data
• Quantify the competitive performance of business segments
• Evaluate potential operational changes
• Design new approaches and methodologies
• Review program data consistently to provide corrective action when necessary based on information collected and current trends to maximize business performance
• Take complex statistical output and translate it to actionable insights for business leaders
• Driven by professional values that exemplify Mortenson’s values of teamwork, responsibility, safety, service and stewardship
• All other duties as assigned

Data Analyst – Finance

• Develop and implement metrics, reports, visualizations, and statistical analyses to support business objectives
• Collaborate with business partners to understand their needs and translate them into analytical solutions
• Design, execute, and document data analyses and coding projects while adhering to data management principles and best practices
• Apply the scientific method to design tests, conduct experiments, and generate actionable insights from observational data
• Build and maintain robust database architectures, ensuring accuracy and efficiency in data extraction, transformation, and loading processes
• Stay up-to-date with new and evolving technologies, incorporating them into workflows to improve efficiency and accuracy
• Provide training and guidance to team members and stakeholders on reporting tools, data visualization, and analytical best practices
• Understand dependencies within Business Intelligence (BI) systems and ensure seamless integration across tools and platforms
• Partner with Store Operations and other domain teams to enhance processes and support decision-making through data-driven insights

Lead Data Analyst – Stores SPIDA

• Collect, clean, and validate data from multiple sources
• Analyze datasets to identify trends, patterns, and actionable insights
• Collaborate with stakeholders to gather business requirements and translate them into data-driven recommendations
• Develop and maintain SQL queries and databases to support ongoing analyses
• Present findings in a clear, concise manner suitable for non-technical audiences
• Calculate key performance indicators (KPIs) and financial metrics to support strategic decision-making
• All other duties as assigned.

• Performing analysis of data from Customer Remediation Events in accordance with the Customer Remediation Policy
• Using SQL database queries to pull data from SQL Server, Oracle, and Netezza, the analyst utilizes tools such as SAS, Excel, Toad, pgAdmin, Visual Studio Code or similar data tools to transform and analyze the data
• Using data to compare to an initial population created by the business to challenge the accuracy and completeness of the initial population as well as the remediation calculations and totals
• Once population consensus is reached, partnering with the business to work through the remaining milestones and through the remainder of the remediation process until the event is completed
• Executing population and milestone testing during validation of customer remediation events
• Reviewing and testing remediation population data to validate complete and accurate remediation populations and calculations are provided to customers
• Providing critical challenge of business line data processes while ensuring comprehensive population and calculation data
• Credibly challenging data extraction, population verification, and financial calculations

• Problem-solve using spreadsheets, databases, and other resources to clean, synthesize, and/or analyze data and information
• Build and maintain actuarial models and exhibits used to support client projects and the presentation of results
• Communicate results to peers and project leaders both verbally and in writing
• Draft client communications, including emails, letters/reports, and PowerPoint presentations
• Review the work of your peers
• Prepare and document project files
• Assist with research and business development projects
• Participate in office committee(s) with peers and leadership to support office management, culture, and activities
• Have opportunities to work independently and as part of a team

Healthcare Data Analyst

• Conduct accurate and timely business analysis and reporting to support and drive business decisions.
• Collaborate with key stakeholders to define key financial and operational metrics.
• Build and maintain models used to project business results; enhance the model where there is business value.
• Ensure analysis and reporting accuracy and integrity; explain performance drivers and provide insights into performance trends.
• Analyze and address data quality issues; test and analyze the impact of system changes to data/reporting infrastructure.
• Develop, test, and deploy automated reporting solutions and automated decision analytics.

Senior Product Data Analyst

• Transform complex data into clear, actionable insights for business partners.
• Develop and maintain dashboards and reports using SQL, Alteryx, and DOMO.
• Collaborate with cross-functional teams to understand business needs and deliver effective analytics solutions.
• Manage and prioritize a diverse range of analytics projects and requests, ensuring timely and effective delivery.
• Present findings and recommendations to both technical and non-technical audiences.
• Ensure data integrity and compliance with company standards.
• Monitor analytics outcomes and refine your approach to improve results.

Data Analytics – Operations

• Work closely with business units, subject matter experts and technical resources to identify business needs
• Define key metrics and develop business requirements
• Design reports and dashboards that support data driven decisions
• Assist in research and fact-finding to develop or modify a database, data reporting tools for data analytics or other data development projects
• Assist in preparing specifications
• Assist in analyzing, designing, coding, testing, debugging, documenting, and maintaining assigned area of specialization
• Perform basic analysis, reporting, troubleshooting and root cause analysis

Business Intelligence Data Analyst

• Build relationships with key stakeholders and work collaboratively to realize solutions that maximize business performance
• Interpret and analyze information from the analyst team and report findings to leadership to aide in decision making and policy formulation
• Partner with HR partners and leadership to model the outcome of potential business strategies and implement actions based on information collected and current trends to maximize business performance
• Consume and consolidate large amounts of data into centralized, sustainable, and repeatable measurements
• Apply and integrate statistical, mathematical, predictive modeling and business analysis to manage and manipulate complex high-volume data from a variety of sources
• Develop, analyze, and model operational, economic, management, and other organizational data
• Quantify the competitive performance of business segments
• Evaluate potential operational changes
• Design new approaches and methodologies
• Provide leadership and support to the analyst team
• Effectively work and build relationships with those of diverse backgrounds and organizational levels
• Lead team members by example, offer effective coaching and feedback, and effectively manage performance

Data Analysis Manager

• Assist in the process of managing the availability, usability, integrity security and privacy of the data.
• Implement processes to assure data quality for business purposes.
• Perform moderately complex data profiling and analysis and communicate results in support of data quality processes.
• Meet with business customers to develop and maintain business data quality requirements and specifications.
• Perform intermediate to advanced metadata documentation, data lineage, data transformation rules in support of key program deliverables.
• Work with business customers to ensure appropriate naming definitions and standards are being followed.
• Participate in the creation of data models (e.g., entity design and population).
• Perform testing and validation of requirements and/or data management capabilities.
• Demonstrate and apply detailed understanding of overall data models, data relationships, mapping lineage and business rules.
• Create detailed test strategies and test plans.
• Perform moderately complex root cause analysis and resolution of business data issues.
• Gather information across the enterprise and use tools, processes, and workflows to capture knowledge and maintain its relevance.
• Assist with the designing the creation, maintenance and governance of taxonomies and ensures its applicability to content and/or data.
• Perform other duties as assigned.

Senior Consultant, Data Management – 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

• Deliver insights that support acquisition, retention, and product deepening across Consumer Banking
• Analyze large, complex datasets to identify trends, opportunities, and risks
• Source, integrate, and validate data from multiple enterprise systems
• Design dashboards, visualizations, and ad hoc analyses that clearly communicate findings
• Translate analysis into concise, business focused recommendations
• Partner with stakeholders and data teams to provide a holistic view of performance
• Monitor results of implemented recommendations and refine analysis over time
• Ensure all data usage complies with risk, privacy, and data governance standards

Data Analyst – Consumer Banking

• Develop and maintain a package of financial reporting, spreadsheets, templates, and applications
• Provide assistance in the development, construction, or automation of financial applications or other tools
• Query information from a data warehouse and perform other ad-hoc data mining and financial analysis

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Data Analyst

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Head of Consumer Bank Data Analytics, CX and Research

Senior Financial Data Analyst

Head of Consumer Bank Data Analytics, CX and Research

Project Master Data Analyst

Part-Time Faculty – Undergrad/Graduate Data Analytics

Data Analyst – Finance

Lead Data Analyst – Stores SPIDA

Data Analyst

Data Analyst

Healthcare Data Analyst

Senior Product Data Analyst

Data Analytics – Operations

Business Intelligence Data Analyst

Data Analysis Manager

Senior Consultant, Data Management – Data Analyst

Supply Chain Data Analyst

Data Analyst – Consumer Banking

Financial Data Analyst