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

• Support one or more analytical aspects of the business products and services life cycle
• Work with more senior team members, customers, Data Engineers, Data Architects, and Capability Managers to capture capability needs and drive quality data and reporting solutions
• Create and maintain deliverables such as data set creation, operational reports, and analytical dashboards
• Collaborate with cross-functional teams on data-driven projects
• Conduct requirement walkthroughs and sprint reviews
• Assure compliance for required standards and all necessary approvals have been obtained throughout the data delivery lifecycle

Associate Data Solutions 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

• 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

• 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

• Collaborate with cross-functional teams to define and measure key product metrics aligned with business objectives.
• Lead data science workstreams including predictive modeling, segmentation, and forecasting to drive product decisions and revenue impact.
• Evaluate and prototype AI-powered analytical solutions that support forecasting, product optimization, and operational efficiency.
• Utilize data analysis to uncover trends, patterns, and opportunities that influence product strategy and experience optimization.
• Translate business requirements into scalable analytical solutions and measurement frameworks.
• Develop dashboards and recurring analyses to monitor product performance and proactively surface opportunities for revenue and experience improvement.
• Present findings and recommendations to technical and non-technical audiences in a clear and compelling manner.
• Support data governance and ensure the accuracy, reliability, and consistency of analytics reporting.
• Partner with Product, Design, Engineering, and Marketing teams to support roadmap prioritization and business planning.

Manager, Global Product Analytics, Data Science

• The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR’s Technology & Innovation groups.
• Engage early to shape requirements, standardize approaches across projects, coordinate delivery with U.S. and offsite teams.
• Ensure all data sharing and AI use aligns with governance, legal, and contractual obligations.
• Identify owner-mandated technologies and capture data requirements and reporting obligations.
• Align project-level data needs with DPR’s Data Strategy and enterprise standards, delivering consistent solutions that drive measurable impact across the account.
• Translate business and project needs into clear data, analytics, and integration requirements.
• Advise on feasibility and value of AI-driven solutions.

Data and AI Project Analyst

• 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

• 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

• 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.

• Own and evolve the analytics intake process: Design, implement, and continuously improve a clear, scalable process for submitting, reviewing, and routing analytics requests.
• Establish intake standards, required fields, and decision criteria that improve request quality and speed time to triage.
• Create transparency into request status, pipeline health, and next steps for stakeholders and analytics teams.
• Perform light scoping and demand assessment: Partner with requestors and analytics leaders to clarify business objectives, desired outcomes, urgency, dependencies, and high-level level-of-effort.
• Translate ambiguous requests into well-defined problem statements, preliminary requirements, and actionable intake packages.
• Identify opportunities to consolidate, sequence, defer, or redirect requests based on value, readiness, and strategic fit.
• Facilitate prioritization and portfolio governance: Run weekly intake and prioritization meetings with strong preparation, clear recommendations, and documented decisions.
• Support prioritization using agreed-upon criteria such as business impact, strategic alignment, effort, risk, timing, and dependencies.
• Maintain a current view of analytics demand, in-flight work, backlog, and key trade-offs to support leadership decision-making.
• Drive stakeholder communication and alignment: Serve as a primary point of contact for intake-related communication, ensuring stakeholders understand process, timing, status, and decisions.
• Build strong relationships across business, operational, and analytics teams to improve intake quality and partnership.
• Communicate clearly and diplomatically in situations involving competing priorities, constrained capacity, or changing requirements.
• Manage workflow and delivery coordination tools: Manage tasks, updates, and workflow coordination in tools such as OpenText and ClickUp.
• Ensure requests, decisions, action items, and status updates are accurately documented and easy to follow.
• Partner with teams to improve workflow hygiene, reporting, and operational consistency across the intake-to-delivery lifecycle.
• Support portfolio visibility and operational excellence: Develop and maintain reporting, dashboards, or summaries that provide visibility into demand trends, throughput, bottlenecks, and priorities.
• Track risks, blockers, and dependencies and escalate issues when timely decisions are needed.
• Recommend process improvements that increase transparency, responsiveness, and alignment across the analytics portfolio.
• Contribute to broader analytics strategy and operations efforts: Partner with analytics leadership on planning, capacity discussions, prioritization frameworks, and operating rhythms.
• Help strengthen the team’s overall ways of working by bringing a product and program mindset to analytics demand management.
• Assist with other Data Governance, Data Literacy, enablement, or analytics operations duties as needed.

Data Analytics Portfolio Manager

• Construct, design, write and document complex programs using Business Intelligence Tools (e.g. Business Objects, SAS, SQL, Crystal Reports)
• Develop, analyze, report and interpret complex data for ongoing activities/projects
• Work collaboratively with customers to complete effective needs analyses
• Monitor and perform in-depth analysis of data for customers to determine areas of improvement
• Identify complex trends and make recommendations to business areas
• Communicate meaningful insights by creating charts and slide presentations
• Support and manage complex applications systems on many platforms
• Provide ongoing user support for ad hoc reporting, questions, queries, and problem support

Data Analyst jobs in Louisiana

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Data Analytics Co-Op

Manager, Operational Reporting – Reporting & Analytics

Online Data Analytics Eco Representative

Associate Data Solutions Analyst

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

People Relations & Enablement Analytics, Reporting Manager

Senior Financial Analyst – Cash Accounting, Analytics

Data Quality Analyst

Senior Director, Enterprise Data, Analytics, AI & Automation

Manager, Global Product Analytics, Data Science

Data and AI Project Analyst

Manager, Global Product Analytics, Data Science

Market Research Data Analyst

Cross-Sell Data Analyst, Dynamics 365

Data Analyst

Data Analytics Portfolio Manager

Senior Healthcare Data Analyst, ACA, EDGE