Data Analyst

• 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.

• Designing, implementing, and managing complex data analysis initiatives that support revenue cycle performance and organizational financial objectives
• Balancing multiple concurrent requests from a wide range of stakeholders while maintaining accuracy, consistency, and timely delivery of analytical outputs

Principal Data Analyst – Revenue Cycle

• Write and optimize SQL queries against Snowflake and MySQL databases to extract, transform, and analyze data.
• Build, maintain, and enhance interactive dashboards and reports in Power BI for stakeholders across the business.
• Partner with team members to translate business questions into clear, well-scoped analytical deliverables.
• Validate data quality and investigate discrepancies between source systems and reporting layers.
• Document data sources, definitions, metrics, and report logic to support self-service analytics.
• Support ad-hoc analysis requests and contribute to recurring business reviews.
• Continuously look for opportunities to streamline manual processes and improve reporting efficiency.

Revenue Operations Data Analyst

• Partner with HRBPs and cross-functional leaders to analyze, and present key trends across the end-to-end employee lifecycle (sourcing, hiring, engagement, performance, attrition).
• Assist in efforts to define, socialize, and govern a standard set of people metrics, reporting templates, and definitions to ensure a single source of truth and organizational consistency across all people data reporting.
• Help design, develop, and maintain reproducible and automated people analytics solutions (e.g., R Shiny dashboards) to empower the People team and leadership in building a best in class employee experience.
• Continuously research, evaluate, and implement emerging analytics tools, AI techniques, and innovative data visualization strategies to deliver smarter, faster, and more impactful insights to our stakeholders
• Maintain security models on products built within our People Analytics platform
• Actively contribute to the People Analytics strategy and roadmap development by providing high-impact insights on a quarterly basis for Quarterly Business Reviews.
• Proactively propose new metrics, research areas, and innovative strategies to improve people programs and measurement.

Data Analyst, People Analytics

• Provide power market analytics and monitoring to support Power Resources operations, planning, and decision-making.
• Analyze electric load and resource data (hourly, daily, weekly, monthly, and annual) related to settlements with counterparties; organize data and assist with reconciliation reporting.
• Develop, update, and maintain databases, software, and reporting tools that support critical Power Resources data and workflows.
• Develop complex SQL queries and data models; administer and support relational database management systems.
• Design, build, and manage ETL processes and around-the-clock (ATC) data pipelines; troubleshoot data quality, availability, and performance issues.
• Create dashboards and visualizations; compile, validate, and distribute KPI reports and other periodic or ad-hoc reporting.
• Perform statistical modeling and analysis of structured and unstructured datasets; identify trends and present results through reports and presentations.
• Develop and maintain data integrations and APIs that collect large time-series datasets from internal and external sources.
• Work with end users to understand data needs, document technical requirements, and deliver solutions on strict deadlines.
• Prepare and present written and verbal recommendations to support strategy and operations aligned with District goals.

Energy Data Analyst I

• Analyze complex people data and deliver clear, actionable insights to support strategic talent decisions across multiple business units.
• Work independently to determine the best analytical approach for each project, while collaborating closely with People Analytics Consultants.
• Present findings and recommendations to business leaders in a compelling, accessible way.
• Support projects related to organizational health, hiring and retention, workforce planning, employee experience, and more.
• Contribute to the development and enhancement of People Analytics solutions by sharing feedback and ideas.
• Manage multiple projects simultaneously, prioritizing work that drives the greatest impact for the business.

People Analytics Analyst

• Establish strong business partnering relationships with IT leaders to promote open dialogue regarding operating model efficiency, financial impact and performance to ensure that decision makers have the insights necessary to optimize the cost and value of IT services
• Effectively communicate financial and operational insights IT leadership as part of monthly department reviews to ensure timely identification and understanding of critical issues impacting performance
• Provide ongoing financial modeling expertise to senior IT leaders to support resource management, capital investment and procurement decisions
• Interface regularly with IT Accounting team to review results and ensure timely booking of expense accruals, asset deployments, resource time, and business unit allocations
• Align quarterly planning information in Apptio Target Process to IT delivery and financial performance metrics to more clearly communicate key drivers of enterprise allocated expenses to business units
• Partner with TBM Analytics teams to detail requirements, execute user test and validate the accuracy of Apptio reporting, or dashboard solutions deployed to IT users
• Leverage Apptio platform capabilities to educate IT leaders and increase Business Unit awareness of the Total Cost of Ownership for IT Services. This may include reviewing operational, benchmark and other productivity metrics related to IT products and services
• Operationalize loading and reviewing of forecasting, budget, and actuals data in Apptio IT Planning on a timely basis

Senior IT Finance & Analytics Analyst

• Serve as a key contributor supporting Technology Business Management (TBM) Analytics, enabling greater transparency and optimization of IT cost, quality, and value
• Partner across IT and Finance to design, maintain, and enhance TBM cost models, leveraging tools such as Apptio to deliver actionable insights that support data-driven decision making
• Focus on cost model development, data integration, and system administration while also driving continuous improvement in data quality, allocation methodologies, and analytics capabilities
• Play a critical role in helping leaders understand total cost of ownership, optimize IT services, and align financial outcomes with strategic technology priorities
• Participate in occasional travel for stakeholder engagement, planning, or training sessions

Senior IT Finance and Analytics Analyst

• Proactive, technically-grounded analysis of sales motion and revenue operations.
• Building strong cross-functional relationships to drive alignment on key business objectives.
• Translating business requests into rigorous, reproducible analysis using AI tools to enhance workflow.
• Delivering findings to both technical and non-technical audiences.

Data Analyst – Revenue Ops

• As a DARC Data and Reporting Analyst, your responsibilities will include, but are not limited to:
• Supporting the business intelligence domain and learning from experienced team members.
• Assisting with data extraction, transformation, and loading processes.
• Contributing to technical and business documentation for data structures and processes.
• Supporting business analysts and requirements gathering activities.
• Building dashboards and performing testing and validation per established processes.
• Learning about business intelligence governance, privacy, and security frameworks.
• Supporting the maintenance of BI interfaces, data visualization, and reporting tools.

DARC Reporting and Data Analyst

• Own the development, maintenance, and ongoing management of a centralized marketing campaign dashboard tracking performance across Product Marketing, Organic Social Media, and Paid Media, ensuring accuracy, reliability, and accessibility.
• Partner with marketing leadership to define dashboard requirements, standardized metrics, and reporting views aligned to business objectives and campaign goals.
• Develop and maintain a holistic measurement framework that integrates dashboard outputs into broader marketing reporting and analysis.
• Analyze campaign performance and translate data into clear insights, trends, and actionable recommendations.
• Prepare recurring and ad hoc reports, presentations, and executive-ready summaries.
• Synthesize data across platforms to deliver cohesive performance narratives rather than siloed channel reporting.
• Partner closely with the Senior Manager, Paid Media and paid media buyers to support performance analysis, optimization strategies, and testing insights.
• Collaborate with Product Marketing and Organic Social teams to evaluate campaign and content effectiveness.
• Support test-and-learn initiatives by analyzing results and providing structured readouts with implications for future planning.
• Establish and document best practices for reporting cadence, metric definitions, and data usage.
• Identify gaps in tracking, tooling, or data availability and recommend improvements in collaboration with internal partners.
• From time to time, serve as a consultant to marketing teams on measurement strategy and performance insights.

See all jobs on JobTailor