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Learning path

Business Operations Analyst learning path: everything to study, topic by topic

Comprehensive BizOps Analyst assessment covering data and insights, process analysis, process improvement, tooling and automation, cross-functional programs, and strategic operations.

Short answer

To learn Business Operations Analyst, work through 6 modules and 20 topics in the order they build on each other. It starts with Data & Insights, then moves on to Process Analysis and Process Improvement. Use the map as a checklist, or measure your level and study only what is missing.

6
modules
20
topics
50
min to assess

What you will study

Topics are grouped by module. Open one to see its objectives and key concepts.

1 · Data & Insights3 topics
  • Data Collection & Dashboards

    Gathering business data from multiple sources, designing dashboards that surface actionable KPIs, and ensuring data quality for operational decision-making

    Objectives

    • Identify the right data sources for a given operational question
    • Design a dashboard that highlights actionable KPIs for a team lead
    • Validate data quality before publishing a report

    Key concepts

    • data sources
    • KPI design
    • dashboard layout
  • SQL Basics for Operations

    Writing SQL queries to extract, filter, and aggregate operational data from relational databases, supporting ad-hoc analysis and recurring reports

    Objectives

    • Write a SQL query that joins two tables to answer a business question
    • Aggregate data to produce weekly operational summaries
    • Debug a query that returns incorrect results

    Key concepts

    • SELECT/JOIN
    • GROUP BY aggregation
    • WHERE filtering
  • Operational Reporting

    Building recurring operational reports, defining metrics cadences, and presenting findings to stakeholders with clear narratives and recommendations

    Objectives

    • Structure a weekly operations report with clear takeaways
    • Choose the right metrics for a given audience and cadence
    • Present data findings with actionable recommendations

    Key concepts

    • report cadence
    • metric narratives
    • stakeholder presentation
2 · Process Analysis4 topics
  • Process Mapping

    Documenting business processes using flowcharts, swimlane diagrams, and BPMN notation to create a shared understanding of how work flows across teams

    Objectives

    • Create a swimlane diagram for a cross-team process
    • Identify handoff points and ownership gaps in a process map
    • Translate stakeholder interviews into a process flowchart

    Key concepts

    • flowcharts
    • swimlane diagrams
    • BPMN notation
  • Current-State Analysis

    Assessing existing processes for bottlenecks, waste, and inefficiency using data-driven techniques to establish a baseline before improvement initiatives

    Objectives

    • Conduct a current-state assessment that quantifies process inefficiencies
    • Identify the top three bottlenecks in an order-to-cash process
    • Present a baseline analysis with metrics that justify improvement investment

    Key concepts

    • bottleneck identification
    • cycle time analysis
    • waste categorization
  • Value Stream Mapping

    Applying value stream mapping to visualize end-to-end workflows, distinguish value-add from non-value-add steps, and identify improvement opportunities

    Objectives

    • Build a value stream map that separates value-add from waste
    • Calculate lead time and cycle time from a VSM
    • Design a future-state map with measurable improvement targets

    Key concepts

    • value-add vs non-value-add
    • lead time vs cycle time
    • future-state map
  • Requirement Elicitation

    Gathering and documenting business requirements through interviews, workshops, and observation, translating stakeholder needs into clear specifications

    Objectives

    • Facilitate a requirements workshop that surfaces hidden needs
    • Write user stories that capture business intent and acceptance criteria
    • Prioritize requirements using MoSCoW for a quarterly roadmap

    Key concepts

    • stakeholder interviews
    • user stories
    • MoSCoW prioritization
3 · Process Improvement3 topics
  • Lean Six Sigma Basics

    Applying Lean principles and Six Sigma methodology to reduce waste, lower defect rates, and improve process consistency in business operations

    Objectives

    • Identify the eight Lean wastes in a real business process
    • Calculate basic Six Sigma metrics for a transactional process
    • Recommend Lean or Six Sigma tools for a given improvement scenario

    Key concepts

    • Lean waste types
    • Six Sigma DPMO
    • process capability
  • DMAIC Methodology

    Executing structured improvement projects using Define, Measure, Analyze, Improve, and Control phases to deliver measurable operational gains

    Objectives

    • Write a DMAIC project charter with clear problem and goal statements
    • Design a measurement plan for the Measure phase of a project
    • Create a control plan that sustains gains after project close

    Key concepts

    • project charter
    • measurement plan
    • control plan
  • Root Cause Analysis

    Using fishbone diagrams, 5-Whys, Pareto analysis, and hypothesis testing to identify the true drivers of operational problems before jumping to solutions

    Objectives

    • Facilitate a 5-Whys session that reaches a systemic root cause
    • Build a fishbone diagram that organizes potential causes by category
    • Apply Pareto analysis to prioritize the vital few causes

    Key concepts

    • fishbone diagram
    • 5-Whys technique
    • Pareto analysis
4 · Tooling & Automation4 topics
  • Workflow Automation

    Designing and implementing automated workflows that eliminate manual handoffs, reduce errors, and accelerate cycle times across operational processes

    Objectives

    • Design an automated workflow that replaces a manual approval chain
    • Define SLA-based escalation rules for a ticketing process
    • Evaluate build-vs-buy trade-offs for a workflow automation tool

    Key concepts

    • trigger-action patterns
    • approval workflows
    • SLA enforcement
  • Low-Code / No-Code Tools

    Leveraging low-code and no-code platforms to build operational applications, forms, and dashboards without deep engineering resources

    Objectives

    • Select the right low-code platform for a given operational use case
    • Build a proof-of-concept app that automates a manual process
    • Establish governance guardrails for citizen-developed applications

    Key concepts

    • platform selection
    • citizen development
    • governance guardrails
  • System Integration

    Connecting operational systems via APIs, middleware, and iPaaS platforms to create seamless data flows and eliminate information silos

    Objectives

    • Design an integration architecture connecting CRM, ERP, and BI systems
    • Map data fields across two systems for a bidirectional sync
    • Troubleshoot a broken integration using error logs and data validation

    Key concepts

    • API integration
    • iPaaS platforms
    • data mapping
  • Data Pipelines

    Building ETL/ELT pipelines that extract, transform, and load operational data into warehouses or lakes for reporting and advanced analytics

    Objectives

    • Design a data pipeline that feeds a daily operational dashboard
    • Implement data quality checks that catch anomalies before loading
    • Choose between ETL and ELT for a given data volume and latency requirement

    Key concepts

    • ETL vs ELT
    • data quality checks
    • pipeline orchestration
5 · Cross-Functional Programs3 topics
  • Program Management

    Planning, executing, and tracking multi-workstream programs that span departments, managing dependencies, timelines, and resource allocation

    Objectives

    • Create a program charter that aligns stakeholders on scope and milestones
    • Manage cross-team dependencies in a multi-workstream program
    • Escalate program risks with data-backed recommendations

    Key concepts

    • program charter
    • dependency management
    • milestone tracking
  • Stakeholder Alignment

    Building consensus across functions with competing priorities, managing executive expectations, and driving alignment through structured communication

    Objectives

    • Build a RACI matrix that clarifies ownership across four departments
    • Write an executive update that surfaces risks without causing alarm
    • Resolve a priority conflict between two VPs with competing roadmaps

    Key concepts

    • RACI matrix
    • executive updates
    • conflict resolution
  • Change Enablement

    Planning and executing organizational change initiatives, from communication plans and training to adoption tracking and resistance management

    Objectives

    • Design a change enablement plan for a new system rollout
    • Define adoption metrics that measure real behavior change
    • Address resistance from a team that sees the change as a threat

    Key concepts

    • change impact assessment
    • adoption metrics
    • resistance management
6 · Strategic Operations3 topics
  • Operating Models

    Designing and evolving operating models that define how a business delivers value, including org structure, governance, processes, and technology enablers

    Objectives

    • Map an operating model canvas for a business unit
    • Identify capability gaps that block the target operating model
    • Recommend governance changes to support a new go-to-market motion

    Key concepts

    • operating model canvas
    • governance frameworks
    • capability mapping
  • Scaling Playbooks

    Creating repeatable playbooks that codify best practices, enable rapid scaling of operations, and reduce dependency on tribal knowledge

    Objectives

    • Write a scaling playbook for onboarding a new market
    • Define triggers that signal when a playbook needs to be updated
    • Evaluate playbook effectiveness using adoption and outcome metrics

    Key concepts

    • playbook structure
    • knowledge codification
    • scaling triggers
  • Executive Partnership

    Serving as a strategic partner to C-suite executives by translating operational data into strategic recommendations, facilitating OKR processes, and driving executive decision-making

    Objectives

    • Facilitate a quarterly OKR-setting session for a leadership team
    • Translate operational data into a strategic recommendation for the COO
    • Build a decision framework that helps executives evaluate competing initiatives

    Key concepts

    • OKR facilitation
    • strategic recommendations
    • executive decision support

Levels: Junior, Mid, Senior, and Expert

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Frequently asked questions

Where should I start studying Business Operations Analyst?

Start with Data & Insights: Data Collection & Dashboards, SQL Basics for Operations, and Operational Reporting. The map orders topics by what they depend on, so each one prepares the next.

How long does a full Business Operations Analyst assessment take?

A full assessment of this path takes about 50 minutes. Study time depends on where you start; a diagnostic shows which topics you can skip.

Do I need an account to use this page?

No. The map, objectives and key concepts are open. You only need an account to be measured, get your gap by topic and receive a plan.