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Avp Business Analyst Jobs (NOW HIRING)

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AVP Business Analyst information

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How much do avp business analyst jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for avp business analyst in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 per hour, depending on experience, location, and employer.

What does an AVP Business Analyst do?

An AVP (Assistant Vice President) Business Analyst is responsible for analyzing business processes, identifying areas for improvement, and supporting strategic initiatives within an organization. They work closely with senior management to gather requirements, prepare reports, and recommend solutions that drive efficiency and growth. In addition, they often lead project teams, oversee the implementation of technology solutions, and ensure that business objectives are met. Their role bridges the gap between business needs and technical solutions, contributing to the overall success of the company.

What are the key skills and qualifications needed to thrive as an AVP Business Analyst?

To thrive as an AVP Business Analyst, you need a solid background in business analysis, financial modeling, and data interpretation, often supported by a relevant degree and experience in financial services. Familiarity with tools like SQL, Excel, business intelligence platforms, and certifications such as CBAP or PMP are commonly required. Excellent communication, stakeholder management, and problem-solving skills set top performers apart in this role. These capabilities are essential for translating business needs into actionable solutions that drive organizational strategy and efficiency.

What are some common challenges faced by an AVP Business Analyst when balancing stakeholder expectations?

As an AVP Business Analyst, one of the key challenges is effectively managing the diverse expectations of stakeholders across departments, such as technology, operations, and executive leadership. Balancing these needs often requires strong communication, negotiation skills, and the ability to translate technical requirements into clear business objectives. Additionally, you must prioritize competing requests while ensuring alignment with strategic goals, which can be complex in a fast-paced corporate environment. Regular collaboration and proactive updates help maintain trust and drive successful project outcomes.

What is the difference between Avp Business Analyst vs Business Analyst?

AspectAvp Business AnalystBusiness Analyst
Required CredentialsBachelor's degree, certifications like CBAP or PMI-PBABachelor's degree, certifications like CBAP or PMI-PBA
Work EnvironmentCorporate, banking, finance, or large enterprise settingsVaries across industries, including finance, IT, healthcare
Employer & Industry UsageUsed in banking, finance, large corporations for strategic projectsCommon across multiple industries for process and requirement analysis

The Avp Business Analyst typically holds a senior-level position within large organizations, focusing on strategic analysis and project leadership, while a Business Analyst generally performs requirement gathering and process analysis across various industries. Both roles require similar credentials but differ in scope and seniority.

What is an AVP business analyst?

An AVP (Assistant Vice President) Business Analyst is a senior-level professional responsible for analyzing business processes, identifying improvements, and supporting strategic decision-making. They often work in financial or corporate environments, utilizing tools like Excel, SQL, and data visualization software, and may oversee teams or projects to ensure business goals are met.

What is the highest position for an AVP Business Analyst?

The highest position for an AVP Business Analyst is typically Vice President (VP) or Director, depending on the organization's structure. Advancement often involves gaining leadership experience, certifications, and expanding strategic responsibilities within the company.
More about AVP Business Analyst jobs
Infographic showing various Avp Business Analyst job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 84% In-person, 11% Hybrid, and 5% Remote job distribution, with an average salary of $98,662 per year, or $47.4 per hour.

AVP, Business Intelligence & Analytics

Careers at KKR

Boston, MA โ€ข On-site

Full-time

Posted 9 days ago


Job description

POSITION OVERVIEW

The Assistant Vice President (AVP), Business Intelligence & Analytics will be a hands-on leader responsible for delivering business intelligence, reporting, and analytics solutions across Human Capital. The role will work directly with stakeholders to understand business needs, execute one-off analyses, develop scalable self-service reporting, and lead a varied portfolio of analytics projects.

The AVP will also own the intake process for BI and analytics requests, including its ongoing modernization and day-to-day execution. The role will establish a clear and reliable way for work to enter the team, assess and clarify requests, support prioritization decisions, provide visibility into demand and capacity, and identify opportunities to reduce recurring manual work through automation and self-service solutions.

The AVP will independently own work from initial problem definition through requirements gathering, analysis, development, validation, communication, and implementation. The role will partner closely with the Head of People BI Analytics, other members of People Analytics, Human Capital stakeholders, Data Engineering, and Technology teams.

Over time, this role may grow to lead a small team of junior analysts focused primarily on Tier 1 service delivery (routine reporting tickets and recurring requests), with the AVP setting standards, reviewing quality, and developing the team.

RESPONSIBILITIES

Intake & demand management

  • Own and continuously improve the intake process for BI, reporting, and analytics requests - including submission, clarification, categorization, triage, tracking, and stakeholder communication.
  • Develop practical frameworks for assessing urgency, business value, effort, sensitivity, and dependencies; partner with the Head of People BI & Analytics on major prioritization and capacity tradeoffs.
  • Maintain visibility into request volumes, backlog, turnaround times, recurring demand, and available capacity; surface bottlenecks and propose remedies.
  • Identify recurring or manual requests that should be automated, standardized, or converted into self-service solutions.

Analytics & reporting delivery

  • Execute routine reporting requests and analytical requests end-to-end - from stakeholder discussion through requirements, analysis, validation, and delivery.
  • Translate ambiguous business questions into clear requirements, analytical approaches, and reporting outputs.
  • Query, combine, and analyze using SQL and other analytical tools.
  • Design, develop, and maintain intuitive self-service dashboards using Tableau or comparable enterprise BI platforms.
  • Lead defined analytics projects across workforce, organizational, recruiting, talent, performance, and survey domains.
  • Synthesize findings into clear implications and practical recommendations for business stakeholders.

Partnership & product contribution

  • Contribute to the design and enhancement of People Analytics datasets, dashboards, and reporting products.
  • Partner with Data Engineering and Technology teams to define data requirements, resolve dependencies, and investigate source-data, modeling, and quality issues.
  • Document business logic, data sources, definitions, calculations, assumptions, and known limitations.
  • Build trusted stakeholder relationships and communicate progress, findings, risks, and tradeoffs clearly.

Team leadership (future scope)

  • Potential to build and lead a small team of junior analysts responsible for Tier 1 service delivery - routine reporting tickets, recurring requests, and standardized outputs.
  • Define intake routing between Tier 1 (routine) and higher-tier (complex/bespoke) work, and set quality, turnaround, and documentation standards for Tier 1 delivery.
  • Coach and develop junior analysts, review their work, and create a path for them to take on progressively more complex analyses over time.
  • Balance hands-on delivery of complex work with oversight of the team's routine throughput.

MINIMUM QUALIFICATIONS

  • 5+ years of experience delivering business intelligence, reporting, or analytics solutions in a business or enterprise setting.
  • Demonstrated experience independently owning complex reporting, dashboard, or analytics work end-to-end - from scoping and requirements through validation and delivery.
  • Strong SQL skills, including querying, combining, and validating data across multiple structured sources.
  • Hands-on experience building and maintaining dashboards in Tableau, Power BI, or a comparable enterprise BI platform.
  • Experience translating ambiguous business questions into clear requirements, analytical approaches, and reporting outputs.
  • Experience designing or improving intake, triage, or demand-management processes for a high-volume analytics or reporting function.
  • Sufficient technical fluency to reason about data models, warehouses, reporting layers, and engineering dependencies, and to partner effectively with Data Engineering.
  • Strong written and verbal communication skills, with the ability to synthesize complex data into clear findings and recommendations for non-technical stakeholders.
  • Experience mentoring, coaching, or reviewing the work of junior analysts; direct people-management experience a plus but not required.
  • Bachelor's degree or equivalent professional experience.

PREFERRED QUALIFICATIONS

  • Experience in People Analytics, Human Capital, HR technology, or workforce reporting.
  • Familiarity with Snowflake, dbt, or comparable modern data and analytics platforms.
  • Experience with modern data application/BI tools (e.g. Sigma, Streamlit)
  • Experience partnering with a centralized or separately managed Data Engineering function.
  • Experience operating in a complex, highly regulated, or data-sensitive environment (financial services, healthcare, etc.).
  • Familiarity with data access, privacy, security, and governance requirements applicable to people data.

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