
Management Analyst
1 week ago
BroadPath is excited to announce that we are hiring for work-at-home Management Analyst. The Management Analyst will analyze operations and identify ways to manage performance, increase efficiency, and continuously improve processes. The analyst is responsible for partnering with business customers, including leadership stakeholders, clients, and vendors, for documenting analytics requirements to transform data into actionable insights and improve processes, which ultimately gain efficiency for BroadPath. The analyst must be able to structure conversations to gain insights, gather requirements, ask questions to solicit business needs, and identify business needs from an analytics solution's perspective. Essential to the position is adapting to a dynamic environment while proactively driving high quality and accuracy.
Management Analysts are expected to engage in several high-level types of work analysis, such as:
- Performance Management – define and govern KPIs and targets; establish control limits (UCL/LCL) and SPC dashboards; run cadence reviews with Directors, trigger runbooks on signals, and track corrective-action impact
- Data Analytics – perform deep-dive diagnostics (segmentation, cohort/funnel, variance), apply statistical methods (correlation, regression, ANOVA), and translate findings into actionable recommendations and dashboard specifications
- Financial Planning – grow financial performance and develop financial models through analysis of financial results, forecasting and budgeting, variances, and trends
- Strategic planning – identifying business needs and driving data to define our analytics
- Business model analysis – helping draft playbooks, processes, and structures for the enterprise
- Process Improvements and Redesign – standardizing workflows and creating improvements
Overall, the Management Analyst serves as a central analytics partner for BroadPath, converting data into timely, actionable decisions. The role emphasizes diagnostic deep dives, operational analytics, and statistical process control (SPC) to separate signal from noise and recommend interventions.
Responsibilities
- Perform deep dives and analytics on diverse datasets; frame hypotheses, explore drivers, and size impact
- Apply statistical methods: correlation/partial correlation, linear/logistic regression, ANOVA/ANCOVA; synthesize findings into clear recommendations
- Implement SPC/control charts for priority KPIs: define baselines, calculate and maintain UCL/LCL, distinguish special vs. common cause, and trigger runbooks/alerts
- Conduct operational monitoring and anomaly detection; perform variance, trend, cohort, and segmentation analyses
- Facilitate analytics discussions with stakeholders; translate business questions into analytical approaches and actionable insights
- Partner as needed on budgeting, forecasting, expenditure planning, and financial modeling to support decisions
- Report on operational/financial performance and prepare materials for regular leadership reviews.
- Collect and analyze documents (e.g., annual reports, procedures, system designs) to identify opportunities for improvement
- Assess current practices, document findings and recommend improvements (processes, forms, reports, data collection, staffing), and communicate to executives/senior staff
- Develop and maintain ad hoc analytics and business performance reporting for Operations and other stakeholders
- Engage across departments to document business requirements and gather feedback on analytical projects
- Prepare and provide documentation and/or training materials to facilitate implementation of suggested changes
- Assist in preparing executive-level analytics presentations and concise one-page summaries
- Collaborate across functional teams; specify dashboard requirements (metric logic, filters, sources) for the developer team
- Present findings via reports, summaries, dashboards, graphs, charts, and maps; deliver clear narratives that drive timely decisions
Qualifications
- Advanced Microsoft Excel (pivot tables, advanced lookup/indexing, array/dynamic array formulas, Power Query, Power Pivot) and proficiency with the Data Analysis ToolPak (regression, ANOVA, t-tests, correlation, descriptive statistics) is required
- Proficiency in MS Office Tool Suite (Word, PowerPoint, Outlook)
- Strong data visualization and good presentation skills with meticulous attention to detail is a must
- Excellent analytical and creative problem-solving skills with a high degree of accuracy
- Ability to distill complex findings into simple, executive-ready concepts
- Superior written and verbal communication skills
- Must be comfortable using and adapting to new and existing technology
- Strong time management skills with the ability to handle work to tight deadlines and the pressure of executive requests
- Ability to multi-task and prioritize while completing high-profile projects and tasks or deadlines
- Ability to constructively collaborate with various individuals with a variety of personalities
- Proficiency in SQL and Python or R for analysis is preferred
- Familiarity with BI tools (e.g., Tableau/Power BI/Looker) is a plus
Education & Experience:
- Bachelor's degree in business, Data Science/Analytics, or a related field required, MBA or related master's preferred
In lieu of degree: Candidates without a qualifying bachelor's degree will be considered if they demonstrate all the following:
Thorough understanding of call center operations and management principles, including KPI management, strategic planning, human resource modeling, production methods, and resource allocation
- 5+ years using data to gain insights and drive process improvement in operational settings
- 3+ years with statistical and financial tools (ratio/trend analysis, regression, ANOVA, correlation) and working knowledge of SPC/control charts (UCL/LCL)
Systems experience: (required)
- Excel Data Analysis ToolPak
- Power Query
Any preferred experience, systems or skills:
- Python or R Data Analysis
- Any BI Tools
- Data Analytics in a Call Center
Work samples/Portfolio required
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