BI Developer (BI Analyst)
Resume Template

A free BI Developer (BI Analyst) resume, pre-filled and ready to edit. Replace the highlighted placeholders (BI platform, data warehouse, ETL/ELT tool, semantic layer, metrics) using the side panel on the left, and the resume rewrites itself as you type. Save as PDF when you are done.

Emmanuel Gendre - Former Google Recruiter and Tech Resume Writer

Authored by

Emmanuel Gendre

Tech Resume Writer

Interactive resume template generator

Interactive BI Developer Resume Template

Edit the side panel. The resume rewrites itself live. Save as PDF when you are done.

Edits update live as you type. Toggle Edit to rewrite paper text directly.

Edit mode is on. Click anywhere on the resume to rewrite text. Side-panel placeholders still update live.

Yara Mansour Senior BI Developer

Seattle, WA yara.mansour@gmail.com +1 206-555-0163

Profile Summary

  • Senior BI Developer with 7 years of experience delivering enterprise BI environments across outdoor retail co-op, premium home goods, and SaaS commerce, specializing in Power BI dashboard development, Snowflake dimensional modeling, and self-service BI governance.
  • Solid technical background across BI platforms (Power BI, Tableau), data warehouses (Snowflake), ETL/ELT pipelines (dbt, Fivetran), semantic layers (DAX), and languages (SQL, Python) with strong fundamentals in dimensional modeling, governed semantic layers, and accessible visualization design.
  • Deep expertise in star-schema dimensional modeling, single source of metric truth, dashboard performance tuning, and governed self-service analytics, leveraging methodologies such as Kimball-style dimensional design and data-product certification workflows to drive trusted, fast, and self-service-ready business intelligence.
  • Engaged collaborator working cross-functionally with Finance, Merchandising, Marketing, and Data Engineering teams in data-product-as-service environments, contributing to requirements workshops, metric-review boards, and post-launch dashboard retrospectives with a stakeholder-first, ownership-first mindset.
  • Emerging leader who shares technical excellence and fosters a culture of metric-trust obsession and documentation discipline through model reviews and BI office hours, while leading BI guild and metric-review sessions and authoring widely adopted dimensional-model and dashboard-design templates.

Technical Skills

BI Platforms:
Power BI (Service, Premium, Paginated Reports), Tableau, Looker, Qlik Sense, MicroStrategy, ThoughtSpot, SAP BusinessObjects
Data Warehouses & OLTP:
Snowflake, BigQuery, Redshift, Synapse, Databricks SQL Warehouse, SQL Server, Oracle, Postgres
ETL / ELT:
dbt, Azure Data Factory, SSIS, Informatica, Talend, Fivetran, Matillion, Power Query / M
Data Modeling:
Star & snowflake schemas, slowly-changing dimensions, Kimball methodology, tabular models, OLAP cubes
Semantic Layer & Metrics:
DAX, LookML, Tableau calculated fields, dbt metrics, certified-dataset governance, version-controlled metrics
Visualization & UX:
Chart-type selection, accessible color and contrast, narrative dashboard flow, mobile and tablet layouts, WCAG-aware design
Governance, Quality & Security:
Row-level security, workspace and dataset access controls, GDPR / HIPAA / SOX awareness, reconciliation tests, certified datasets
Languages & Scripting:
SQL (advanced window functions, CTEs), DAX, Python (pandas, basic ETL), M / Power Query, Bash, Git

Education

University of California, Irvine B.S. in Information & Computer Science
Irvine, CA Sep 2014 - Jun 2018

Work Experience

REI Co-op Senior BI Developer
Seattle, WA Aug 2022 - Present
  • Owned enterprise BI delivery for the Retail and Merchandising business supporting 2,400+ business users, leading requirements gathering and end-to-end delivery across executive merchandising scorecards, store-operations reporting, and finance and inventory analytics, delivering 180+ certified reports and dashboards.
  • Designed the dimensional BI model on Snowflake with star schemas with conformed dimensions, slowly-changing dimensions (Type 2), and Power BI tabular models with calculation groups, maintaining 9 enterprise tabular models and cutting median query response from 14 seconds to 2.6 seconds.
  • Built BI-ready data pipelines using dbt and Fivetran, with dbt models with tested grains, Fivetran SaaS connectors, and Azure Data Factory orchestration, maintaining 140+ dbt models and delivering 15-minute refresh on the executive scorecard.
  • Designed executive and operational dashboards in Power BI and Tableau, including executive scorecards with drill-through detail, store-ops daily flash reports, and paginated reports for store leadership, shipping 48 production dashboards with 2,400 weekly active business users.
  • Authored the team's warehouse query patterns in SQL including window functions and CTEs across fact tables, incremental aggregate tables, and query hints and clustering keys for Snowflake, powering 180,000 weekly query executions across the BI fleet.
  • Drove the dashboard performance program using incremental refresh and dataset partitioning, query folding and aggregated views, and Power BI Premium capacity tuning, cutting median dashboard load from 12 seconds to 2.1 seconds.
  • Ran the data-quality and governance program with dbt tests and source-system reconciliation, row-level security on store data, and certified-dataset workflow, achieving 92% reduction in finance reconciliation tickets across 4 quarters.
Williams Sonoma BI Developer
San Francisco, CA Jun 2019 - Jul 2022
  • Stood up the enterprise metric catalog on DAX with DAX-based shared measures, version-controlled metric definitions, and quarterly metric-review board, curating 220 certified metrics across 8 business domains.
  • Authored the team's dashboard design system including chart-type selection guide for analysts, color and contrast standards aligned to WCAG, and narrative flow templates for executive decks, lifting time-on-page lifted from 1.2 to 3.8 minutes on the merchandising dashboards.
  • Built the self-service BI program including weekly Power BI office hours, DAX and modeling workshops, and certified-dataset playbook, training 380 analysts and business power users and shipping 46 certified datasets.
  • Worked closely with Finance, Merchandising, Marketing, and Data Engineering teams to coordinate quarterly metric-review boards, data-product roadmap planning, and audit-readiness reviews, authoring 11 BI standards and runbooks that shaped the team's standard playbook and mentoring 5 junior BI analysts and developers through their first dashboard launches.

Done editing? Download as a real, vector PDF. Selectable text, ATS-friendly, US Letter format.

About this template

A BI Developer (BI Analyst)
Resume Template, by a BI Resume Writer.

Quick intro: 12 years recruiting tech, including many years at Google. I now run a BI resume writer service for analytics and data candidates, and BI Developer and BI Analyst rewrites are a steady part of the mix. Reporting and dashboards roles are still one of the biggest hiring buckets in tech. So when I write about these CVs, it is from the screening side, not from a Power BI conference talk or a Medium post.

Most folks who land here pay for the full custom rewrite. We dig into the actual dashboards you shipped, the models you built, the queries you tuned, the executives who actually use the reports, the data-quality issues you closed. If a clean skeleton with BI-shaped placeholders is what's missing, this template fills the gap. ATS-clean, free, no signup. Have a swing at it.

How it works

How to use this template
to write a BI Developer resume

The structure here was written by a former Google recruiter. The placeholders force you to be specific exactly where it matters: tools, models, query practice, and quantified BI outcomes.

Strong BI bullets are not single-draft writes. They build through five stages. Stage one names the report or model you shipped. Stages two and three add the tools and the warehouse you used. Stage four shows the BI practice behind the work. Stage five quantifies the speed, adoption, or trust outcome. Bullets that reach stage five are the ones a hiring manager flags for the phone screen. The full breakdown lives in How to Write Bullet Points for Tech Resumes.

  1. 01 Task What you shipped
  2. 02 Tools Power BI, dbt, DAX
  3. 03 Warehouse Snowflake, BigQuery, Redshift
  4. 04 Practice Star schemas, RLS, certified datasets
  5. 05 Metric Load time, adoption, ticket cuts

This template wires the five stages straight into the bullets so the framework runs in the background. The side panel slots into the levels: BI tool and ETL picks fill stage 2, warehouse and semantic-layer picks fill stage 3, the practice-pattern fields fill stage 4, the metric fields land at stage 5. The sentence shells carry stage 1. Why this matters: you do not have to think about the framework while you write. Drop in real tools and real numbers, and the resume reads at stage 5.

  1. Pick your stack

    Tap a chip to swap Power BI for Tableau or Looker, Snowflake for BigQuery or Redshift, dbt for SSIS or Informatica, DAX for LookML or Tableau calculated fields. Every mention on the page updates at once.

  2. Drop in your numbers

    Query response time, dashboard load time, weekly active users, certified datasets, reconciliation ticket reduction, weekly query volume, time-on-page on key dashboards. Don't have yours yet? The defaults pass for a senior BI resume.

  3. Save as PDF

    Click Download. The page generates a real vector PDF with selectable text and clean US Letter formatting. ATS-parsable.

Resume Sample

BI Developer Resume Examples

Three sample BI Developer (and BI Analyst) resumes at different career stages: a junior BI analyst at a meal-kit subscription company, a senior BI developer at a workplace-review SaaS scaleup, and a lead BI developer running enterprise reporting at a Fortune-100 health insurer. Use them as inspiration when filling the template above.

Entry-level BI Resume Sample 2 years

Junior BI Analyst Resume Example

Career changer from a retail operations analyst role. Power BI dashboards, SQL Server, and subscription-cohort reporting at a meal-kit subscription company.

Lila Choudhury

Junior BI Analyst

New York, NY · lila.choudhury@gmail.com · +1 212-555-0119 · linkedin.com/in/lilachoudhury

Profile Summary
  • Junior BI Analyst with 2 years of corporate BI experience supporting Power BI, SQL Server, and Azure Data Factory at a meal-kit subscription company, transitioning from a 2-year retail operations analyst background.
  • Hands-on coverage across Power BI Service, Power Query / M, DAX for calculated measures, SQL Server (advanced T-SQL), basic Snowflake, and Tableau familiarity from a previous role.
  • Eager collaborator working with senior BI developers and operations analysts across 3 business units, contributing to dashboard reviews, data dictionary edits, and ad hoc reporting under structured mentorship.
  • Holds a B.S. in Management Information Systems from Rutgers New Brunswick and the Google Data Analytics Professional Certificate, with a focus on shipping reports that subscription operators actually use.
Technical Skills
BI Platforms:
Power BI (Service, Desktop, Paginated Reports), basic Tableau familiarity
Warehouses & OLTP:
SQL Server (T-SQL, indexing basics), Azure SQL, basic Snowflake querying
ETL / ELT:
Azure Data Factory (consumer), Power Query / M, SSIS (basic packages)
Modeling & Semantics:
Star schema basics, DAX calculated measures, slowly-changing dimensions (Type 1)
Visualization & UX:
Power BI theme customization, accessible color palettes, mobile layouts
Certifications:
Microsoft Certified: Power BI Data Analyst Associate (PL-300), Google Data Analytics Pro Cert
Education
Rutgers University - New Brunswick B.S. in Management Information Systems New Brunswick, NJ · Sep 2018 - May 2022
Work Experience
HelloFresh Junior BI Analyst New York, NY · Aug 2023 - Present
  • Built and maintained 14 Power BI dashboards for the Customer Operations and Subscription Lifecycle teams, viewed weekly by about 220 internal users.
  • Authored 32 DAX measures for subscription, churn, and reactivation reporting, reviewed weekly with the senior BI developer.
  • Maintained a library of 40+ certified SQL Server views for the operations reporting layer, with documentation and a starter data dictionary.
  • Improved median dashboard load on the Subscription Lifecycle pack from about 9 seconds to 3.2 seconds by introducing incremental refresh and aggregations under senior review.
  • Co-led the rollout of row-level security for regional ops managers across 4 DMAs, paired with a senior BI developer on review.
Sephora Retail Operations Analyst San Francisco, CA · Jun 2022 - Jul 2023
  • Owned weekly Excel-based store-ops reporting across 320 stores in 4 regions, automating 6 recurring reports with Power Query for ~8 hours saved per week.
  • Built a self-taught Power BI prototype for visit-to-purchase funnel analysis, cited by the regional team in their first quarterly review.
  • Discovered BI as a career via the Google Data Analytics Pro Cert, then internal Power BI training, and pivoted into a Junior BI Analyst role at HelloFresh.

Senior BI Resume Sample 6 years

Senior BI Developer Resume Example

Workplace-review SaaS scaleup BI IC. Tableau + Snowflake + dbt, executive dashboards, and a self-service Looker rollout.

Ifeoma Eze

Senior BI Developer

San Francisco, CA · ifeoma.eze@gmail.com · +1 415-555-0147 · linkedin.com/in/ifeomaeze

Profile Summary
  • Senior BI Developer with 6 years of experience building BI platforms at workplace-review and product-experience SaaS scaleups, specializing in Tableau dashboard development, Snowflake dimensional modeling, and Looker self-service rollout.
  • Hands-on coverage across Tableau, Looker, Snowflake, dbt, Fivetran, advanced SQL, LookML, and Python (pandas) for one-off data ops.
  • Deep practice in Kimball-style dimensional modeling, LookML governance, self-service enablement, and partnering with Product Analytics on revenue and engagement reporting.
  • Cross-functional partner with Finance, Revenue Operations, and Data Engineering, leading quarterly metric-review boards and owning 2 SOC 2 evidence cycles for the BI environment.
  • Mentor and tech lead for 3 BI IC peers, owning the team's LookML style guide and quarterly dashboard-adoption retrospective.
Technical Skills
BI Platforms:
Tableau (Server, Cloud), Looker (with LookML model authoring), Power BI (consumer)
Warehouses:
Snowflake (warehouses, RBAC, micro-partitions), BigQuery (basic), Redshift (legacy)
ETL / ELT:
dbt Cloud (models, tests, sources, exposures), Fivetran SaaS connectors, Airflow (consumer)
Modeling & Semantics:
Star & snowflake schemas, conformed dimensions, LookML model + view design, dbt metrics layer
Visualization & UX:
Narrative dashboard flow, embedded analytics in product, accessibility-aware Tableau theming
Governance & Security:
Row-level security in Snowflake + Looker, dataset certification workflow, SOC 2 evidence collection
Languages:
SQL (advanced window functions, CTEs), LookML, DAX (familiarity), Python (pandas), Git
Service Practice:
Stakeholder requirements, metric-review boards, BI office hours, SLA-driven dashboard support
Education
Bentley University B.S. in Information Systems & Analytics Waltham, MA · Sep 2015 - May 2019
Work Experience
Glassdoor Senior BI Developer San Francisco, CA · Mar 2022 - Present
  • Owned the Revenue and GTM dashboard portfolio in Tableau and Looker (about 62 production views), serving ~340 weekly users across Finance, Sales, and Marketing.
  • Designed the Looker LookML model for the GTM domain, certifying 78 measures and lifting Looker adoption from about 22% to 71% of eligible users across 6 quarters.
  • Built the team's Snowflake clustering and aggregation strategy for the employer-side analytics fleet, cutting median Tableau extract refresh from 18 minutes to 4.
  • Drove the certified-dataset program across dbt exposures and Looker certified views (54 datasets), cutting dashboard-trust escalations to Data Engineering by about 65%.
  • Owned the BI side of the firm's SOC 2 evidence collection for 2 years with zero high-severity findings against BI-managed controls.
  • Mentored 3 BI IC peers through their first LookML model launches and authored the team's LookML style guide.
Pendo BI Developer Raleigh, NC · Jul 2019 - Feb 2022
  • Built and maintained 22 Tableau dashboards for the Product Analytics and Customer Success orgs, viewed weekly by ~180 users.
  • Stood up the firm's first dbt project (about 70 models) for the analytics layer in Snowflake, replacing legacy stored procedures and trimming weekly refresh time by about 9 hours.
  • Designed the customer-health rollup model consumed by CS and Account Management, cited in the firm's churn-prevention playbook.
  • Acted as secondary on-call for the BI environment (1 in 4 weeks), leading 4 incident reviews on warehouse-credit spikes.

Lead BI Resume Sample 11 years

Lead BI Developer Resume Example

Fortune-100 health-insurer enterprise BI lead. MicroStrategy + Power BI, SOX + HIPAA reporting controls, and a 9-engineer BI team.

Bartosz Nowak

Lead BI Developer

Louisville, KY · bartosz.nowak@gmail.com · +1 502-555-0134 · linkedin.com/in/bartosznowak

Profile Summary
  • Lead BI Developer with 11 years of enterprise BI experience at Fortune-100 health-insurer and retail-pharmacy firms, specializing in regulated reporting, MicroStrategy + Power BI hybrid environments, and HIPAA-aligned BI governance.
  • Hands-on coverage across MicroStrategy, Power BI Premium, Tableau Server, SQL Server + Snowflake, Informatica PowerCenter, Azure Data Factory, SSAS Tabular, and advanced DAX + MDX.
  • Deep expertise in SOX + HIPAA-aligned BI controls, medical-loss-ratio (MLR) reporting, quarterly access reviews, and serving as BI liaison for internal audit + external regulator engagements.
  • Cross-functional leader partnering with Finance, Actuarial, Medicare Compliance, and Data Engineering, leading the annual BI roadmap for the health-plan analytics organization.
  • People manager for a 9-engineer BI team across two locations, owning hiring loops, on-call rotations, and the annual audit-readiness program.
Technical Skills
BI Platforms:
MicroStrategy (schema objects, intelligent cubes), Power BI Premium, Tableau Server, SSRS, SSAS Tabular
Warehouses & OLTP:
SQL Server, Snowflake, Oracle (legacy claims), DB2 (legacy mainframe extracts)
ETL / ELT:
Informatica PowerCenter, Azure Data Factory, SSIS, dbt (consumer), Power Query / M
Modeling & Semantics:
Kimball methodology, MicroStrategy schema design, SSAS tabular models, DAX + MDX, medallion architecture
Visualization & UX:
Executive scorecards, paginated regulator reports, accessibility-aware health-plan dashboards
Compliance & Governance:
SOX + HIPAA controls, MLR reporting, internal audit liaison, row-level security, certified datasets
Cloud & Tooling:
Azure (Data Factory, Synapse), AWS (Redshift legacy), Power BI Premium capacity, Git, Azure DevOps
Leadership:
Team management (9 engineers), hiring loops, audit liaison, annual BI roadmap, mentorship pairing
Education
Indiana University - Kelley School of Business B.S. in Information Systems Bloomington, IN · Sep 2010 - May 2014
Work Experience
Humana Lead BI Developer Louisville, KY · May 2021 - Present
  • Lead a 9-engineer BI team across Louisville and Tampa, owning the enterprise reporting platform serving Finance, Actuarial, Medicare Compliance, and Operations (about 2,800 business users).
  • Chair the quarterly Metric Review Board, governing approximately 320 certified metrics with a metric-change rejection rate under 11% over the past 8 quarters.
  • Owned the BI side of SOX + HIPAA evidence collection for 3 consecutive years, passing all in-scope BI controls with zero high-severity findings.
  • Drove the MicroStrategy to Power BI Premium migration for the Medicare Advantage reporting suite (about 140 reports), trimming median report generation from 18 minutes to 3 minutes.
  • Rebuilt the team's Snowflake clustering and materialized view strategy, cutting median warehouse query time on MLR reporting from about 22 seconds to 4.8 seconds.
  • Hired and onboarded 4 BI developers and 2 senior peers over 24 months, running structured interview loops and 30/60/90 onboarding plans.
  • Presents quarterly BI metrics (load time, certified-metric coverage, audit posture) to the VP of Health-Plan Analytics and the CFO's office.
Walgreens Boots Alliance Senior BI Developer Deerfield, IL · Aug 2014 - Apr 2021
  • Owned the retail-pharmacy reporting suite in MicroStrategy and Tableau (about 110 reports), serving District Managers and the corporate Pharmacy Ops team.
  • Built the firm's first Snowflake-based mart for Rx-fulfillment analytics, sustaining a 15-minute refresh on the daily flash report.
  • Designed the row-level security model for District Manager dashboards covering ~9,000 stores, audited annually with zero exceptions.
  • Acted as deputy lead during the previous lead's medical leave, running the metric-review board and quarterly audit prep for 5 months with no Sev 1 misses.

Frequently asked

Your Questions about the BI Developer (BI Analyst) Resume Template, Answered

Yes, every part of it. No signup, no email gate, no premium tier waiting in the wings. Pick your tools, drop in your numbers, save the PDF. The paid resume-writing service funds the template; the template itself stays free for everyone.

Yes. The export is single-column with the section headers ATS systems read by default (Profile Summary, Technical Skills, Education, Work Experience), no tables, no images, no two-column layouts. Workday, Greenhouse, and SuccessFactors parse it cleanly. Run the exported file through our ATS Checker after if you want a second pair of eyes.

You can. Click Edit at the top of the resume preview, then click inside any bullet and rewrite it. The side-panel placeholders keep updating in the background; everything else is plain editable text.

Click Download. The page builds the PDF in your browser on the spot. No print dialog, no signup, no server in the loop. The output is real vector text on US Letter, parsed by ATS systems the same way they parse any clean resume export.

Swap it in the side panel. The defaults lean Power BI + Snowflake + dbt + DAX + SQL because that is the most common 2026 enterprise BI JD pattern, but every reference is a placeholder. Suggestion chips cover Tableau, Looker, Qlik, MicroStrategy, ThoughtSpot, and SAP BusinessObjects for the BI tool, BigQuery / Redshift / Synapse / Databricks for the warehouse, SSIS / Informatica / Talend / Azure Data Factory / Fivetran / Matillion for ETL, and LookML / Tableau calculated fields for the semantic layer. Tap the chip, the resume rewrites across every mention.

Yes. The role profile overlaps heavily: requirements gathering, data modeling, ETL/ELT, dashboards, SQL, semantic layer, visualization, performance, data quality, and self-service enablement. Adjust the Resume Title field in the side panel to BI Analyst, Senior BI Analyst, or Reporting Analyst as needed, and reshape the bullets toward the analysis side rather than the engineering side. Same template, same export.

BI Developer leans toward the production-reporting side of analytics: dimensional models, semantic layers, governed dashboards, performance tuning, and self-service rollout for the whole company. The Data Analyst template leans toward exploratory analysis, A/B tests, and business-question deep dives. The Data Engineer template leans toward pipeline infrastructure, warehousing, and platform plumbing upstream of BI. If your day is delivering trusted dashboards and reports that the business relies on, pick this one.

No. Hiring managers screen on substance: the dashboards you owned, the models you shipped, the queries you tuned, the executives who actually use the reports, the data-quality issues you closed. Layout origin is not on the rubric. What does cost interviews is generic BI fluff that doesn't name a tool, a number, or a business outcome, which this template is structured to prevent. The skeleton came from a former Google recruiter; the substance stays yours.

Why trust this template

Emmanuel Gendre, former Google recruiter and tech resume writer

Emmanuel Gendre

Former Google recruiter · Tech resume writer

I built this BI Developer template from the patterns I saw work, not from generic advice. Below is the data behind every bullet, skills line, and metric placeholder.

  • Experience 600+ BI Developer and BI Analyst resumes screened across retail, financial services, health insurance, SaaS scaleups, and Fortune-100 enterprise BI shops during my Google recruiter years and at TechieCV. The Profile Summary and Skills sections mirror what survived the 6-second screen.
  • Expertise Bullets modeled on senior offers. The REI Co-op section is structured the way Senior and Lead BI Developers write their experience when they land enterprise BI and regulated-industry interviews: requirements scope with named stakeholder groups, dimensional model ownership with query-time deltas, ETL throughput with freshness numbers, dashboard adoption with weekly active users, and data-quality outcomes tied to ticket reduction or audit pass.
  • Trust Stack reflects the 2026 hiring bar. Power BI + Snowflake + dbt + DAX + SQL is what hiring managers expect today; suggestion chips cover realistic alternatives (Tableau, Looker, Qlik, MicroStrategy, ThoughtSpot, SAP BusinessObjects, BigQuery, Redshift, Synapse, Databricks, SSIS, Informatica, Talend, Fivetran, Matillion, Azure Data Factory, LookML, Tableau calculated fields) so you can match your real toolchain without losing keyword fit.
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Next steps

Sharpen the surrounding pieces of your resume.

The template builds the skeleton. These pages cover the keyword list, the long-form walkthrough, and the second-pair-of-eyes check.

Coming soon

BI Developer resume skills

The full list of ATS keywords, tools, and methodologies that show up on every BI Developer JD, sorted by category and seniority band. Currently being written.

Coming soon

Coming soon

How to write a BI Developer resume

A full walkthrough: structure, Profile Summary copy, Work Experience bullets, and surviving the recruiter's 6-second scan. Currently being written.

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Disclaimer. This template is a starting point. Defaults are illustrative; replace every metric and tool with values that reflect your real work. Tailor wording to each job description.