Data Analyst

• Working in a fast-paced, innovative, and change-oriented work environment
• Using programming skills to explore, examine and interpret large-scale data in various forms
• Determine the appropriate techniques to manipulate complex high-volume data, develop insights through analysis and modelling, evaluate business problems, and improve our analytical speed-to-insight
• Perform data mining and analyzing of structured and unstructured data associated with claims, policy, payment activities to solve complex business problems using advanced techniques and leveraging industry cutting-edge technology
• Focus on automation and utilizing technology to provide repeatable reporting solutions to promote self-service culture for business partners
• Building a strong network of peers and mentors
• Attending on-site technical and professional development classes
• Presenting accomplishments to leadership across the organization
• Participating in sponsored community service events

Data Analytics Co-Op

• Oversees a team of business analysts, ensuring the delivery of accurate and timely data insights
• Provides oversight to key stakeholders regarding data-centric activities, tools, and technologies
• Recruits and manages a team of data analysts, acting as a coach and mentor
• Manages Decision Science projects and adhoc requests
• Ensures timely and accurate submission of required data reporting
• Collaborates with technology leaders, business partners, and peer groups
• Creates and builds dashboards and automated reporting solutions
• Assists in data migration, conversion, and data validation activities

Manager, Operational Reporting – Reporting & Analytics

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals
• Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making
• Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows
• Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders
• Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes
• Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions
• Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance
• Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.

Senior People Analytics Data Analyst

• Own payroll data integrity, end-to-end mapping, reconciliations, and recurring/ ad-hoc reporting for payroll and timekeeping systems
• Design and maintain dashboards and Key Performance Indicators (KPIs) that surface exceptions, trends, and compliance risks
• Act as the payroll data Subject Matter Expert (SME) and first escalation point for data, reporting, and metrics issues
• Define data requirements and validate outcomes for system changes, integrations, and payroll deploys
• Train payroll operations and partners to read, use, and trust payroll data and reports

Senior Payroll Business Analyst, Data & Reporting

• Guidehouse is currently seeking qualified Data Analysts & Product Managers to support Guidehouse's Defense & Security Segment.
• Serve as a key contributor on a data-driven team supporting Army Audit Readiness objectives, focusing on financial management and technology enablement.
• Design and develop financial dashboards and data visualizations that translate complex financial and operational data into actionable insights for senior stakeholders.
• Act as a product manager for financial management technology solutions, defining requirements and ensuring alignment with audit readiness and compliance standards.
• Collaborate with cross-functional teams to gather business requirements, prioritize features, and manage delivery of scalable solutions that enhance transparency and efficiency.
• Analyze existing financial processes and systems to identify gaps, recommend improvements, and support modernization initiatives.
• Support integration of advanced analytics and automation tools, leveraging platforms such as Power BI, Qlik, Power Apps, and Databricks to improve reporting and decision-making.
• Ensure all solutions adhere to federal financial management standards, audit readiness requirements, and applicable compliance frameworks.
• Participate in Agile ceremonies, manage product backlogs, and coordinate iterative development cycles to deliver high-quality solutions.

Data Analyst, FM Product Consultant

• Leverages analytical tools to provide business and technical expertise for the analytics process, tools and applications for a business function or business unit to create data driven solutions
• Recommending appropriate performance measures to be produced including lifts, efficiencies, confidence intervals, and other statistical metrics
• Analyzing and processing data, building and maintaining models and report templates, and developing dynamic, data-driven solutions
• Providing business clients with detailed, actionable reports documenting the findings from data processing, and data analysis
• Consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts

Business Analytics Consultant – Data Analyst

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• managing and enhancing the quality of product data within the organization's PIM system
• executes a structured approach to the collection, creation, maintenance and distribution of master product data
• responsible for the integrity of the organization's master product data systems
• creates, inputs, reviews, approves and distributes product master data using various tools and workflows
• works with vendors and third parties to collect and update data
• manages data requests in support of business processes, new product sales initiatives, and mergers and acquisitions
• drives excellence and ensures continuous improvement in quality of data through cleansing and best practices
• provides input into the development of PIM data collection templates and workflows
• works collaboratively as a data steward within teams to ensure clear understanding of business requirements managed in concert with PIM data
• identifies opportunities to gain efficiencies, automate, and improve data quality
• partners with cross functional stakeholders to support business needs
• ensures data output feeds are successful, troubleshooting and/or updating as required

PIM Data Analyst

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Perform quality audits and reviews of all data submitted by the IDT teams in Care Compass
• Complete quality validation calls to participants, providers, and home care agencies to confirm that all services requested were received
• Capture and modify any data missing by the PACE staff and communicate key updates
• Maintain accurate records of all scheduled appointments and ensure compliance with regulatory requirements
• Inspect participant’s requests submitted by IDT and ensure deliverables are received
• Provide analysis reports of data information to management and prepare recommendations for review

Data Quality Analyst

• Perform advanced credit risk data analysis in support of the consumer deposit overdrafts to identify areas of risk
• Evaluate the risk of proposed product, process, policy, and model changes
• Provide ongoing monitoring of credit metrics
• Forecast overdraft charge-off losses for capital adequacy planning and the annual operating plan
• Ensure compliance with internal governance processes and external regulatory requirements
• Provide expertise and guidance to first-line partners
• Support additional consumer unsecured products as needed
• Assist in establishing, monitoring, evaluating and interpreting data with a risk management focus with an understanding of business strategy
• Demonstrated working knowledge of relevant databases to provide data and credit risk analytical support to Senior Management
• Perform data manipulation and analysis using SQL, SAS and Microsoft Excel and present results and recommendations to Credit Risk Management
• Track portfolio performance and risk strategy results
• Incorporate observations and data into existing models to improve predictive results
• Identify deviations from forecast/expectations and explain variances
• Identify risk and/or opportunities
• Provide guidance and direction to lower level analysts regarding all aspects of data analysis and the construction of predictive statistical models
• Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite
• Identify risk-related issues needing escalation to management
• Promote an environment that supports belonging and reflects the M&T Bank brand
• Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable
• Complete other related duties as assigned.

Senior Quantitative Risk Analyst

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Review industry literature and research publications and maintain a system to curate publications, competitive intelligence, and internal research/reports.
• Create landscape summaries on topics relevant to higher education and update with new data and publications on an ongoing basis.
• Use third-party platforms to extract and summarize market data on programs and populations.
• Support Product Marketing in providing data summaries for program reviews and investigating new programs or products.
• Conduct deep-dive ad hoc research on market and competitive trends.
• Build, maintain, and update data models of external data sources (e.g., IPEDS), using tools such as Microsoft Fabric/PowerBI.
• Create and maintain data Python data ingestion notebooks in BigQuery and Microsoft Fabric.
• Use existing data models to monitor and summarize internal performance trends across products, segments, and demographics.
• Build and enhance reports and dashboards according to feedback, insights, and institutional goals.
• Actively seek opportunities to improve and anticipate feedback on analytic projects and tools.
• Present analysis findings to diverse audiences in a variety of formats.
• Utilize project management software to keep track of multiple priorities and projects.
• Attendance, punctuality, and reliability are essential functions of this role.

Market Research Data Analyst

• Analyze HR data to deeply understand processes, trends, and opportunities, ensuring findings are actionable and aligned with organizational goals.
• Design and implement advanced data visualizations and dashboards using tools like Tableau or PowerBI to drive strategic decision-making.
• Collaborate with HR and business teams to identify to develop metrics that promote excellence and optimize workflows.
• Perform detailed data analysis and validation to ensure accuracy and reliability of insights provided to stakeholders.
• Proactively address challenges, offering innovative, data-driven solutions that enhance HR processes and outcomes.
• Communicate complex data insights clearly and effectively, ensuring all stakeholders understand implications and actions.
• Develop and maintain data documentation, run books, and data dictionaries in collaboration with HR data governance.
• Stay informed of industry trends and best practices in people analytics and apply them to enhance our workforce strategies.

• Maintain a centralized, accurate view of all ECS projects, programs, and portfolio activities
• Track project status, milestones, dependencies, risks, and issues across the portfolio
• Develop and maintain reporting dashboards, scorecards, and analytics tools to improve visibility into project performance
• Monitor resource utilization, workload distribution, and capacity trends to support portfolio planning
• Partner with stakeholders and leadership to ensure data accuracy, alignment, and consistency in reporting
• Analyze project and portfolio data to identify trends, performance gaps, and opportunities for improvement
• Support prioritization efforts by providing data-driven insights and recommendations
• Ensure timely and accurate communication of portfolio health, status updates, and key metrics
• Drive standardization of analytics processes, reporting methods, and data definitions across the organization
• Collaborate with cross-functional teams to improve operational alignment and decision-making
• Support ad hoc analysis and executive-level reporting as needed

Data Analytics Lead

• Lead advanced data analysis across large, coordinated datasets to support operational performance and strategic decision-making.
• Build, develop, and maintain dashboards, reports, and analytical models that deliver clear, actionable insights.
• Conduct root-cause analysis to identify trends, risks, and opportunities for improvement within operational and asset data.
• Maintain data accuracy by performing validation, reconciliation, and implementing strong controls throughout enterprise systems.
• Translate business requirements into scalable analytics solutions, including data integrations, interfaces, and reporting tools.
• Collaborate with IT and cross-functional partners to support system improvements, resolve issues, and drive analytics modernization initiatives.
• Provide technical guidance and mentorship to analysts and project teams while contributing to data governance, standards, and continuous improvement.

Data Analyst Specialist I – Work Management Technology

• Own and operate a centralized reporting intake and delivery process, partnering with cross‑functional teams to define reporting needs
• Design, develop, and maintain automated reporting solutions that improve efficiency, accuracy, and scalability
• Build high‑quality dashboards, reports, and visualizations that clearly communicate insights and trends
• Deliver insights related to GenAI programs, translating complex data into meaningful narratives for operational and executive audiences
• Support digitalization initiatives by modernizing reporting workflows and reducing manual processes
• Collaborate with business partners to ensure reports align to decision‑making needs and business priorities
• Present findings, insights, and recommendations clearly and confidently to leadership at multiple levels
• Continuously improve reporting standards, visualization quality, and presentation effectiveness

• 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.

Data Analyst jobs in Alabama

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Data Analytics Co-Op

Manager, Operational Reporting – Reporting & Analytics

Online Data Analytics Eco Representative

Senior People Analytics Data Analyst

Senior Payroll Business Analyst, Data & Reporting

Data Analyst, FM Product Consultant

Business Analytics Consultant – Data Analyst

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

PIM Data Analyst

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Data Quality Analyst

Senior Quantitative Risk Analyst

Senior Director, Enterprise Data, Analytics, AI & Automation

Market Research Data Analyst

Senior People Analytics Data Analyst

Data Analytics Lead

Data Analyst Specialist I – Work Management Technology

Data Analyst

Data Analyst