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7 Manager, Business Information - Customer Insights & BI Resume Templates with Example

By Ria · Last Updated On October 18, 2026
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This guide shows you how to build a Manager, Business Information - Customer Insights & BI resume that presents your experience clearly and makes your value easy to assess. You will learn how to organize your evidence for this role and compare professional formats.

Strong resumes connect business priorities to BI products and outcomes. Show how you manage customer data, govern trusted metrics, translate needs into BRDs and use cases, and guide delivery across business and technology teams.

The same resume is presented in 7 layouts. Compare the image previews, then open an example in the editor to review its section order and visual style.

What Makes a Great Manager, Business Information - Customer Insights & BI Resume in 2026

A strong resume puts relevant experience, skills, and results where readers can find them quickly. Clear headings and focused bullet points also help applicant tracking systems read the content.

Use role-specific terms such as customer data governance, CRM and CDP, trusted metrics, BRDs, agile delivery, and business value assessment. Support them with accurate examples, tools, and measurable outcomes from your work.

Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Plain Two Column Format Resume Example

The plain two-column body places resume content in parallel areas, giving reviewers a direct way to scan experience and supporting sections.

 
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Resume Snapshot

  • 11 years in analytics, data management, and retail
  • More than 7 years leading customer data, CRM, CDP, loyalty, and marketing analytics initiatives
  • Bachelor of Science in Marketing, concentration in Business Analytics
  • Hands-on use of MicroStrategy, Power BI, and Snowflake

Why This Format Works

  • Experience entries can share the page with skills and education for quick comparison.
  • Career history stays easy to scan alongside qualifications and credentials.
  • Two columns help reviewers compare work history and supporting details while keeping sections distinct.

Best For

  • Side-by-side section scanning
  • Resumes with varied content types
  • Several experience and qualification sections
  • Parallel review of history and skills
  • Photo-free resume layouts

Resume Keywords

  • 11 years of experience in analytics, data management, and retail
  • more than 7 years leading customer data, CRM, CDP, loyalty, and marketing analytics initiatives
  • marketing
  • Customer data management
  • Data governance
  • Established shared customer and marketing data definitions, quality standards
  • business definitions
  • trusted metrics
  • BRDs
  • use cases, and measurable product outcomes
  • agile product and data delivery
  • Assessed demand and business value with BI and business leaders
  • Aligned Strategy, Marketing, Merchandising, Finance, Stores, and Technology
  • resolving competing requests
  • Reviewed executive reports and ad hoc analysis for data quality, definitions, and clarity
See all keywords
 

#2 Simple One Column Format Resume Example

A single-column body keeps every resume section in one top-to-bottom path, making the reading order easy to follow.

 
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Why This Format Works

  • One continuous column gives experience entries a clear top-to-bottom reading order.
  • Skills, education, and certifications remain easy to locate in sequence.
  • Full-width lines give detailed achievement bullets room to read naturally.

Best For

  • Top-to-bottom resume review
  • Continuous career-history reading
  • Full-width achievement bullets
  • Simple section hierarchy
  • Photo-free resume presentation
 

#3 Clean Two Column Sidebar Format Resume Example

The sidebar paired with a main column gives this two-column layout a clear way to separate career history from supporting details.

 
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Why This Format Works

  • The sidebar and main column give experience and supporting sections distinct places to scan.
  • Career entries can retain detail while skills and education stay easy to find.
  • Separate columns help reviewers move between work history and credentials.

Best For

  • Sidebar and main-column organization
  • Quick section-to-section scanning
  • Detailed career history with supporting qualifications
  • Distinct areas for experience and skills
  • Photo-free document layouts
 

#4 Two Column Format Resume Example

This two-column body presents resume information in parallel areas, a practical choice when reviewers need to scan several content sections.

 
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Why This Format Works

  • Parallel columns organize career history and supporting information without interrupting either section.
  • Reviewers can scan experience entries while locating education and credentials nearby.
  • Clear section grouping helps skills and achievements stand apart during a quick review.

Best For

  • Parallel section organization
  • Fast review of history and qualifications
  • Resumes with several content categories
  • Career details alongside education
  • Photo-free resume documents
 
 

#5 Photo Header Two Column Format Resume Example

A photo at the header gives the page a visible portrait, while its two-column body organizes the resume content below.

 
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Why This Format Works

  • The photo header gives the resume a clear visual identity before the reviewer reaches its details.
  • Two content columns give experience and supporting sections distinct reading areas.
  • Grouped sections help reviewers locate skills, education, and credentials across the page.

Best For

  • Portrait-led header presentation
  • Two-column section browsing
  • Visible personal identification
  • Resume sections with varied content
  • Readers who prefer a photo
 

#6 Colored Two Column Format Resume Example

The two-column body sets resume content in parallel areas, helping reviewers scan career history and supporting sections.

 
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Why This Format Works

  • Career history and supporting sections occupy separate areas for a clear review path.
  • Reviewers can move from experience to skills without losing the section structure.
  • Grouped content makes education and credentials easier to locate.

Best For

  • Parallel resume sections
  • A clear path through career history
  • Experience and skills reviewed together
  • Easy access to education and credentials
  • Photo-free resume layouts
 

#7 Stylish Two Column Designer Format Resume Example

This designer format uses two columns to give reviewers parallel reading areas when a resume contains several kinds of information.

 
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Why This Format Works

  • Two-column organization gives experience and supporting details parallel places on the page.
  • Reviewers can scan career progression while keeping skills and education in view.
  • Separate content areas help distinguish achievement bullets from supporting credentials.

Best For

  • Parallel reading areas
  • Resume sections reviewed side by side
  • Career progression with supporting details
  • Distinct achievement and credential sections
  • Photo-free resume presentation
 
 

Build Your Manager, Business Information - Customer Insights & BI Resume with ResumeInMinutes

ResumeInMinutes helps you organize experience, skills, tools, and results into a resume that is clear and easy to review. Compare the image previews and open an example in the editor to examine its structure.

  • Professional resume layouts
  • Clear, readable section structure
  • Relevant keyword guidance
  • Organized experience and skills
  • Image previews for comparison
  • Resume editing support

Keep the focus on the work that matters for this role: customer data, BI products, shared metrics, cross-functional decisions, and delivery results.

 

See Also

 

Frequently Asked Questions

Are these Manager, Business Information - Customer Insights & BI resume templates ATS-friendly?

The examples use readable headings and a clear section order. Include accurate terms such as customer data management, data governance, BRDs, trusted metrics, MicroStrategy, Power BI, and Snowflake where they match your experience.

Does this page show several different resumes?

No. It shows one resume example in different visual styles. Use the image previews to compare them, then open an example in the editor to inspect its structure.

What should a Manager, Business Information - Customer Insights & BI resume include?

Include a focused summary, relevant experience, skills, education, and certifications. Highlight customer data governance, BI tools, requirements, delivery work, and outcomes you can support with accurate evidence.

Which resume style works well for this role?

Choose a clean layout with clear headings and easy-to-scan experience bullets. Keep important skills and results visible, and avoid design choices that make the content harder to read.

How can I show impact when results are not stated as numbers?

Describe what you changed, who used the work, and how it supported a decision or delivery goal. Add a number only when you can verify it.

Should I include a photo on my resume?

For U.S. applications, a resume without a photo is usually the safer choice. Follow local norms if you are applying in another region.

ATS score and resume checks

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ATS Score 88%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Keyword coverage: 33 of 40 (83%) · Resume quality: 90%

Resume quality 90% · Weight 20% · Issues (1)

Details
  • ✓Name present: Lydia Chandra
  • ✓Email format: lydia.chandra@example.com
  • ✗Phone format: (919) 555-XXXX
  • ✓Experience 1: Job title: Senior Manager, Customer Insights & BI Product Owner
  • ✓Experience 1: Company name: BrightMart Retail
  • ✓Experience 1: Work location: Raleigh, NC
  • ✓Experience 1: Employment dates: Jan 2022 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Product Owner, Marketing Data & Analytics
  • ✓Experience 2: Company name: Mosaic Market Group
  • ✓Experience 2: Work location: Durham, NC
  • ✓Experience 2: Employment dates: Jun 2019 - Dec 2021
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Senior BI Analyst, Customer Analytics
  • ✓Experience 3: Company name: Cedar & Finch Department Stores
  • ✓Experience 3: Work location: Charlotte, NC
  • ✓Experience 3: Employment dates: May 2016 - May 2019
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: BI Analyst, Marketing & Loyalty
  • ✓Experience 4: Company name: Pinecrest Consumer Analytics
  • ✓Experience 4: Work location: Greensboro, NC
  • ✓Experience 4: Employment dates: Nov 2014 - Apr 2016
  • ✓Experience 4: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

Header: Check the phone number: “(919) 555-XXXX”. Use 7–15 digits, with an optional country code.

Expand details to review the checks.

Text Based Resume 100% · Weight 20%

Parsed text
Lydia Chandra
Senior Manager, Customer Insights & BI Product Owner
(919) 555-XXXX
lydiachandra
lydia.chandra@example.com
Raleigh, NC 27601
STRENGTHS
Cross-functional alignment
Connects business and technology partners around shared priorities, helping teams agree on data products and delivery decisions.
Consensus building
Listens to competing needs and clarifies tradeoffs, helping partners reach workable decisions across marketing, finance, stores, and technology.
Practical problem solving
Traces inconsistent customer and campaign results to source data and reporting logic, then records corrections for partners to act on.
Delivery coordination
Tracks intake, dependencies, milestones, and risks through agile delivery, keeping stakeholders informed as plans and timing change.
Business adoption
Creates job aids, training materials, and rollout communications that help marketing teams use consistent customer metrics in recurring analysis.
SUMMARY
Business intelligence and customer insights leader with 11 years of experience in analytics, data management, and retail, including more than 7 years leading customer data, CRM, CDP, loyalty, and marketing analytics initiatives. Connects business partners with BI and technology teams to shape governed data products, trusted metrics, and measurable delivery plans. Experience includes customer journey analytics, segmentation, attribution, and personalization, along with hands-on use of MicroStrategy, Power BI, and Snowflake. Builds agreement across functions, clarifies competing priorities, and supports adoption through practical training and communications. Holds a bachelor’s degree in Marketing with a concentration in Business Analytics and brings experience guiding agile product and data delivery.
EXPERIENCE
Senior Manager, Customer Insights & BI Product Owner
BrightMart Retail
Jan 2022 - Present
Raleigh, NC
Set the customer insights roadmap across Marketing, Loyalty, Stores, Finance, and Technology, translating annual goals into prioritized BI products and delivery plans.
Established shared customer and marketing data definitions, quality standards, governance practices, and trusted Snowflake metrics, improving consistency across enterprise reporting and customer decisions.
Translated stakeholder needs into BRDs, use cases, and measurable product outcomes; managed intake, milestones, dependencies, risks, and decisions through agile data delivery.
Connected CRM and CDP sources with loyalty and transaction data through a customer data acceleration initiative, improving analyst and marketing access to customer segments and journey insights.
Assessed demand and business value with BI and business leaders, resolving competing requests and negotiating tradeoffs, resource constraints, and schedule risks before delivery was affected.
Reviewed executive reports and ad hoc analysis for data quality, definitions, and clarity, using Power BI and MicroStrategy feedback to prioritize product fixes and enhancements.
Created training materials, job aids, rollout support, and business communications that reinforced single-source-of-truth metrics and increased adoption of customer insights capabilities.
Advised Technology teams on solution design, program dependencies, delivery plans, and BI product troubleshooting; contributed to capability roadmaps, financial planning, and continuous improvement priorities.
Evaluated customer journey analytics and segmentation with marketing teams, connecting attribution and personalization opportunities to business value measures.
Aligned Strategy, Marketing, Merchandising, Finance, Stores, and Technology through quarterly customer metrics reviews, resolving definition disputes and building agreement on shared measures.
Mentored two BI analysts in requirements writing, metric validation, and stakeholder presentations, strengthening review quality and delivery readiness.
Product Owner, Marketing Data & Analytics
Mosaic Market Group
Jun 2019 - Dec 2021
Durham, NC
Guided agile product and data delivery for loyalty and marketing analytics, translating campaign, customer, and merchandising questions into a sequenced backlog of data and reporting work.
Coordinated CRM and CDP onboarding into Snowflake with engineering and analytics partners, documenting business definitions and correcting source-quality issues before measures reached business users.
Defined Power BI and MicroStrategy reporting requirements for customer cohorts and campaign performance, including use cases for segmentation, customer journey analysis, and attribution.
Facilitated intake and planning across Marketing, Finance, Stores, and Technology, documenting tradeoffs, dependencies, decisions, and changes to delivery timing.
Created release notes and job aids for updated loyalty metrics, helping campaign teams apply consistent definitions in recurring analysis.
Assessed personalization test results with marketing analysts and reprioritized reporting enhancements according to business value, data readiness, and stakeholder feedback.
Translated prioritized requests into implementation plans with engineering partners, clarifying acceptance criteria and dependencies so reporting releases met campaign planning deadlines.
Senior BI Analyst, Customer Analytics
Cedar & Finch Department Stores
May 2016 - May 2019
Charlotte, NC
Analyzed loyalty, transaction, and campaign data to explain customer journeys and repeat-purchase patterns for marketing and merchandising decisions.
Developed MicroStrategy reports and Power BI dashboards with clear metric definitions, validation checks, and documented refresh expectations.
Partnered with CRM and loyalty teams to design customer segments for campaign planning, validating audience counts and data quality before activation.
Investigated inconsistent customer and campaign results by tracing source data and reporting logic, then documented corrections for BI and business partners.
Presented findings to Marketing and Finance stakeholders, translating analytical results into practical recommendations and measurable follow-up questions.
Reviewed recurring customer reports with business users, identifying definition and refresh issues and documenting corrective actions to improve confidence in campaign decisions.
BI Analyst, Marketing & Loyalty
Pinecrest Consumer Analytics
Nov 2014 - Apr 2016
Greensboro, NC
Prepared recurring loyalty and marketing performance reports, reconciling customer and transaction extracts so account teams could use consistent figures.
Wrote SQL queries and validation routines for campaign response and customer segment analysis, documenting assumptions and exceptions for review.
Responded to ad hoc data requests by clarifying business questions, checking source coverage, and delivering concise findings to marketing partners.
Maintained report documentation and supported updates to customer definitions, building early experience in data quality, BI delivery, and retail analytics.
Investigated report discrepancies with account teams by tracing customer and transaction extracts to their source, documenting corrections that improved consistency in client-facing analysis.
SKILLS
Loyalty analytics
Agile delivery
Personalization
Data quality
Segmentation
Customer data management
Customer journey analytics
CRM and CDP analytics
Business intelligence
Reporting quality
Stakeholder alignment
Product ownership
Marketing analytics
Data governance
Attribution
LANGUAGES
English
Native
Spanish
Intermediate
MY CAREER
12Years
Senior Manager, Customer Insights & BI Product Owner at BrightMart Retail (4.8 Years)
Product Owner, Marketing Data & Analytics at Mosaic Market Group (2.6 Years)
Senior BI Analyst, Customer Analytics at Cedar & Finch Department Stores (3.1 Years)
BI Analyst, Marketing & Loyalty at Pinecrest Consumer Analytics (1.5 Years)
LEADERSHIP, AWARDS & RECOGNITION
Recognized by BrightMart Retail business and technology partners in 2024 for cross-functional delivery of customer data capabilities.
Mentored two BI analysts in requirements writing, metric validation, and stakeholder presentations.
Organized quarterly customer metrics review sessions to resolve definition questions and share practical guidance across marketing teams.
EDUCATION
Bachelor of Science in Marketing, concentration in Business Analytics
University of North Carolina at Greensboro
2011
Greensboro, NC
CERTIFICATIONS
Certified Scrum Product Owner (CSPO), Scrum Alliance
2021
SnowPro Core Certification, Snowflake
2023
Microsoft Certified: Power BI Data Analyst Associate
2024
TECHNICAL SKILLS
Business Intelligence Platforms: MicroStrategy, Power BI, Tableau
Cloud Data Platforms: Snowflake, Amazon Redshift, Google BigQuery
Query Languages: SQL, DAX, MDX
Data Integration: Fivetran, Matillion, Informatica
Customer Data Platforms: Salesforce Data Cloud, Adobe Experience Platform, Tealium AudienceStream
CRM Platforms: Salesforce Sales Cloud, Microsoft Dynamics 365, Oracle CX
Marketing Analytics Platforms: Google Analytics 4, Adobe Analytics, Amplitude
Data Modeling Tools: dbt, ERwin Data Modeler, Lucidchart
Cloud Services: Amazon S3, Azure Data Lake Storage, Google Cloud Storage
Data Warehouses: Snowflake, Amazon Redshift, Google BigQuery
Reporting and Spreadsheet Software: Microsoft Excel, Google Sheets, SSRS
PROFESSIONAL AFFILIATIONS
Member, Association for Business Intelligence Professionals, participating in an organized community focused on BI practice and professional development.
Member, Digital Analytics Association, engaging with an organized professional community focused on digital and customer analytics.

Matched keywords (33)

  • 11 years of experience in analytics, data management, and retailOriginal keyword in JD: 8+ years in analytics, BI, data management, or related discipline
  • more than 7 years leading customer data, CRM, CDP, loyalty, and marketing analytics initiativesOriginal keyword in JD: 5+ years leading customer data, CRM, CDP, loyalty, or marketing analytics initiatives
  • marketingOriginal keyword in JD: Bachelor's degree in Business OR Economics OR Marketing OR Computer Science OR equivalent diploma
  • Customer data managementOriginal keyword in JD: Customer data domain management
  • Data governance
  • Established shared customer and marketing data definitions, quality standardsOriginal keyword in JD: Data quality standards
  • business definitions
  • trusted metrics
  • BRDsOriginal keyword in JD: Business requirements documents (BRDs)
  • use cases, and measurable product outcomesOriginal keyword in JD: Use cases and measurable outcomes
  • agile product and data delivery
  • Assessed demand and business value with BI and business leadersOriginal keyword in JD: Business value assessment
  • Aligned Strategy, Marketing, Merchandising, Finance, Stores, and TechnologyOriginal keyword in JD: Cross-functional stakeholder alignment
  • resolving competing requestsOriginal keyword in JD: Competing-priority management
  • Reviewed executive reports and ad hoc analysis for data quality, definitions, and clarityOriginal keyword in JD: BI reporting and ad hoc deliverable quality
  • hands-on use of MicroStrategy, Power BI, and SnowflakeOriginal keyword in JD: BI tools and modern cloud platforms
  • MicroStrategy
  • Power BI
  • Snowflake
  • Connected CRM and CDP sources with loyalty and transaction data through a customer data acceleration initiativeOriginal keyword in JD: Customer data, CRM, and CDP
  • Loyalty analytics
  • Marketing analytics
  • Customer journey analytics
  • Evaluated customer journey analytics and segmentation with marketing teamsOriginal keyword in JD: Customer segmentation
  • connecting attribution and personalization opportunities to business value measuresOriginal keyword in JD: Marketing attribution
  • Personalization
  • Created training materials, job aidsOriginal keyword in JD: Training materials and job aids
  • Advised Technology teams on solution design, program dependencies, delivery plansOriginal keyword in JD: Solution design and delivery planning
  • BI product troubleshooting
  • continuous improvement
  • single-source-of-truth metrics
  • financial planning
  • retail analytics

Missing keywords (7)

  • BI and customer insights roadmap
  • Enterprise data products
  • Demand assessment and prioritization
  • Consensus building and negotiation
  • Influence without direct authority
  • Risk and issue management
  • BI adoption and rollout support
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

Terms and Conditions
 
 
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