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.

• Sit with internal stakeholders (Medicare sales, finance, operations, HR) to walk them through Omni dashboards, capture feedback, document defects and change requests, and track them to resolution.
• Make report-side changes in Omni: tile edits, formatting, labels, filters, and layout. Escalate anything that touches dbt models or schema to the Interim Head of Analytics.
• Write SQL to spot-check numbers, audit data quality, and answer one-off questions from the business.
• Maintain and update the entity-relationship documentation for the Mart layer as the schema evolves.
• Reconcile reported numbers against source systems (Sabal, Atlantis, Paylocity, Sonar, Retreaver) when discrepancies are flagged.
• Own a clean, organized backlog of business requests and known issues so nothing falls through the cracks.

Junior Data Analyst

• Understands and articulates the business case of business questions
• Designs dashboards and analyses
• Identifies trends and patterns and provide insights through reporting and data visualization techniques
• Works with other data and analytics professionals
• Builds various reporting dashboards using appropriate data extraction and visualization techniques
• Researches continuous improvement in data visualization
• Develops tools and delivers training programs for reporting tools and self-serve analytics

Data Analyst, Visualization

• Analyze procurement, supplier, and spend data to identify trends, risks, savings opportunities, and business insights.
• Develop and maintain dashboards, reports, and analytical models that support procurement performance tracking and executive decision-making.
• Partner with Procurement, Finance, and business leaders to deliver data-driven recommendations for sourcing and supplier strategies.
• Design and manage standardized savings tracking methodologies aligned with organizational reporting requirements.
• Create supplier performance reporting that connects cost, service, and value outcomes to business objectives and contracts.
• Establish analytics standards, metric definitions, and data quality controls to improve reporting accuracy and consistency.
• Collaborate with IT and data teams to support scalable procurement analytics tools, integrations, and data architecture solutions.
• Identify opportunities to improve analytics processes, reporting capabilities, and operational efficiency as the organization evolves.

Procurement Data Analyst

• Understands and articulates the business case of business questions and the estimated value being delivered
• Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use
• Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques
• Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools
• Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques
• Provides value through insights, reporting and data visualization techniques
• Selects, configures and implements analytics solutions for consistency and repeatability
• Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights
• Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization
• Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them
• Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers
• Documents data flow, systems and processes to improve the design, implementation and management of business/group processes
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences
• Takes measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role

Data Analytics, Visualization

• Assist in developing and maintaining the analytics framework for evaluating media performance across channels (onsite, offsite digital, traditional media)
• Produce recurring and ad hoc vendor performance reports and dashboards to support internal stakeholders and brand partners
• Support campaign analysis efforts, including pre-, mid-, and post-campaign performance reporting and insights generation
• Collaborate with cross-functional teams (Sales, Marketing, Engineering) to gather requirements and translate them into scalable reporting solutions
• Maintain and improve dashboards that visualize KPIs, benchmarks, and business outcomes tied to media effectiveness and ROI
• Partner with the Manager to support advanced analytics initiatives, such as incrementality testing, attribution modeling, and media mix modeling
• Compile and synthesize media, vendor, and category-level insights to inform strategic recommendations
• Ensure data accuracy and integrity by working closely with Data Engineering and IT on data sources and pipelines
• Contribute to the development of data-driven stories that demonstrate campaign success and drive advertiser renewals and upsell opportunities
• Analyze customer behavior and media interaction data to support media planning and optimization

Senior Analytics Analyst, Kohl's Media Network

• Analyze quantitative and qualitative data to identify patterns, trends, insights, and opportunities that support business decision-making.
• Create forecasts, reports, dashboards, and other analytical deliverables that help tell a clear story through data.
• Translate complex data and detailed analysis into business-friendly insights, recommendations, presentations, and written summaries.
• Produce actionable reports that highlight key performance indicators, identify areas for improvement, and support root-cause analysis.
• Partner with department leaders and business stakeholders to understand business questions, gather requirements, and deliver data-driven recommendations.
• Use analytics and metrics to improve processes, evaluate business impact, and support forecasting related to costs, risks, operational performance, and business outcomes.
• Develop a strong understanding of the business area you support and begin building deeper expertise in one or more business domains.
• Apply data visualization best practices to create clear, effective, and user-friendly deliverables.
• Seek to understand business processes, user needs, and operational workflows; document refined processes when needed.
• Identify and capture business requirements and support the development of KPI frameworks.
• Take initiative to design and develop analytical deliverables based on business needs, findings, and stakeholder priorities.
• Provide consultation to business partners and participate in cross-functional efforts to address business issues.
• Share results, insights, and best practices across teams to support continuous improvement and strengthen analytical capabilities.
• Apply creative problem-solving, curiosity, and new perspectives to improve how data is used to support business decisions.
• Embrace continuous learning, ambiguity, and collaboration in a fast-paced environment.

Data Analyst III – Investment Client Services

• Partner with data engineers, business analysts, and leadership to define data needs and deliver tailored solutions - leveraging automation and GenAI where appropriate to accelerate insight delivery
• Own analytics projects end-to-end, continuously improving delivery speed, quality, and scalability through automation and thoughtfully applied GenAI
• Create dynamic, user-friendly visualizations in various BI tools to communicate insights to stakeholders (both technical and non-technical)
• Conduct in-depth data analyses to identify complex trends and insights, and provide actionable recommendations based on findings
• Develop and refine complex data models to support reporting and advanced analytics
• Actively participate in peer reviews to ensure quality, consistency, and shared learning across the team
• Leverage Databricks, BI tools, and emerging AI-powered capabilities to advance analytics maturity and team effectiveness

Senior Data Analyst – IntelliScript

• Support the Irix product research pipeline by gathering market feedback, contributing to research scoping, and assisting in prioritization efforts
• Perform hands-on analysis to support mortality studies, product enhancements, and research initiatives
• Contribute to the development, maintenance, and delivery of mortality study outputs, including reports, dashboards, databases, and tools
• Translate research findings into clear insights and actionable recommendations in partnership with product, software development, and other technical teams
• Collaborate with cross-functional teams, including Data Science and product teams, to support model development, feature ideation, and performance monitoring
• Assist in evaluating and communicating the value of new and existing products through analysis and client-facing deliverables
• Create clear, high-quality documentation and support standards for transparency, quality, and reproducibility
• Partner with internal and external stakeholders to deliver insights and materials that meet client needs and highlight product value
• Support the creation of thought leadership materials, including presentations, webinars, and white papers
• Contribute to experimentation and prototyping efforts by analyzing results and helping iterate on ideas quickly
• Assist in developing internal tools and resources to improve product and research efficiency
• Present findings and insights to stakeholders to support awareness and decision-making
• Ensure compliance with data governance standards and secure handling of data assets

Data Analyst – IntelliScript

• Ensure successful delivery to support strategic planning initiatives, improve organizational performance and advance progress towards goals.
• Collaborate with colleagues to drive continuous improvement within the WCHQ Team.
• Leverage knowledge and skills with a variety of tools (e.g. SQL, R, Python), analytic techniques and platforms and analyze large quantities of data from multiple sources.

• 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

• Analyze current manual processes for improvement opportunities.
• Define problem scope and think critically about potential solutions.
• Develop process-improvement solutions that make use of Excel / VBA to automate procedures.

• Our Data Analysts gain a deep understanding of business areas, their processes, and their data needs.
• They then leverage this knowledge to gather, structure, and present data, including developing insightful visualizations, to address user requests.
• Efficiently source and integrate data from both internal and external systems.
• Develop an understanding of business processes and how they impact the flow of data within internal systems.
• Maintain knowledge of the predictive analytics and insurance industries to ensure the best output is provided.
• Work closely with team members to analyze reported results and determine if output meets expected outcomes.
• Assist with the maintenance and testing of data systems and investigate data quality problems.
• Collaborate with team members and IT to resolve data system issues.

Analytics Data Analyst – Hybrid Work Model

• Build, develop, and maintain interactive Power BI dashboards and reports for global collaborators.
• Act as a data and analytics partner within the PMO, supporting project execution and operational teams.
• Work with Snowflake tables and cloud analytics platforms to extract, transform, and analyze data.
• Develop and support Power Apps and Power Automate solutions to streamline data collection and reporting workflows.
• Integrate data from multiple enterprise systems including SAP, Smartsheet, and other operational tools.
• Translate customer and collaborator requirements into scalable, data-driven solutions.
• Ensure data accuracy, consistency, and usability across reports and analytical outputs.
• Identify trends, patterns, and gaps in data and provide actionable insights to leadership.
• Support data automation and self-service analytics initiatives.
• Document data sources, logic, and reporting definitions to promote transparency and reuse.

Data Analyst – Project Management Office

• Provide analytics services to the business across the digital sales and servicing customer journeys.
• Develop new insights and understand our performance based on data and statistical methods.
• Analyze results, external market dynamics, and other data sources to assess trends and develop applicable insights to management.
• Work with partners in the development and delivery of key digital performance analysis and reporting.
• Build and maintain various models used to project business results; enhance the models where there is value in adjusting.
• Ensure analysis and reporting accuracy and integrity and explain performance drivers and provide insights into performance trends.
• Communicate findings to multiple stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
• Evaluate, design, test and maintain data/analytics systems and make recommendations for new tools and system enhancements.

Lead Digital 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

• Serve as a Workday reporting and analytics subject matter expert, building and maintaining reports, dashboards, and scorecards for HR and business leaders.
• Design and develop analytics solutions using Workday reporting tools to integrate and analyze workforce data.
• Develop dashboards and reporting related to workforce composition, turnover, internal mobility, succession, talent acquisition, and rewards.
• Deliver clear, actionable insights that highlight workforce trends, risks, and opportunities.
• Support enterprise workforce planning initiatives by integrating workforce data, trend analysis, and scenario insights.
• Partner with HR and business leaders to define workforce metrics aligned with business strategy.
• Provide analytical support for talent review, succession planning, and internal talent pipeline discussions.
• Translate complex workforce data into practical recommendations that inform planning and talent decisions.
• Partner closely with HR Business Partners, Talent Pipeline, Talent Acquisition, Total Rewards, and business leaders to understand workforce needs and priorities.
• Collaborate with Finance on workforce planning, headcount analysis, and related planning efforts.
• Present findings and recommendations to leadership in a clear, concise, and compelling manner.
• Support leaders in building confidence and capability to use workforce data through clear tools, education, and ongoing partnership.
• Improve the accessibility and usability of workforce data through well-designed dashboards and reporting tools.
• Create and maintain clear metric definitions, documentation, and guidance to support consistent interpretation of workforce insights.
• Continuously evaluate and improve analytics processes, tools, and reporting approaches to increase impact and efficiency.
• Provide guidance and coaching to HR team members on using analytics to inform decisions.
• Troubleshoot reporting and data issues through resolution in partnership with HRIS and other stakeholders.

Talent Planning & Analytics Manager

• Participate in projects that require quality control, research, data compilation and analysis to ensure compliance with the bank’s Customer Remediation Policy
• Support issue and business line management with research, data analysis, documentation and execution
• Accept ownership of the data used within all CBB customer remediation events and verify any component required during validation
• Maintain awareness of bank, regulatory, and industry changes and trends
• Contribute to CBB Risk Data Team projects or project implementation
• Perform other duties as assigned

See all jobs on JobTailor

Cross-Sell Data Analyst, Dynamics 365

Data Analyst

Junior Data Analyst

Data Analyst, Visualization

Procurement Data Analyst

Data Analytics, Visualization

Senior Analytics Analyst, Kohl's Media Network

Data Analyst III – Investment Client Services

Senior Data Analyst – IntelliScript

Data Analyst – IntelliScript

Data Analyst

Senior Product Data Analyst

Data Analytics – Operations

Data Analyst

Analytics Data Analyst – Hybrid Work Model

Data Analyst – Project Management Office

Lead Digital Data Analyst

Business Data Analytics Intern, Channel Coverage

Talent Planning & Analytics Manager

Customer Remediation Quality Control Data Analyst – Consumer & Business Banking Risk