Business Intelligence Engineer Jobs in New York
Business Intelligence Engineer jobs in New York are highly active, concentrated in financial services, media, healthcare, and technology, with demand at every level from junior analyst to principal engineer. New York City is by far the largest hiring hub, with meaningful volume in Buffalo and Albany as well. Established employers with deep roots in the state include JPMorgan Chase, Pfizer, and Bloomberg, which consistently hire business intelligence engineers across data modeling, pipeline development, and dashboard engineering. Find a role that fits below and apply directly.
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Sr Business Intelligence (BI) Marketing Analyst
Overview
Grain Group accelerates growth for ambitious consumer brands by aligning business insights with ROI-driven marketing. The team comprises strategic thinkers with backgrounds in business, media, technology, and finance.
Position Summary
Grain Group seeks a Sr BI Analytics Analyst for hands-on, technical analytics work across our client portfolio. The role requires strong SQL, comfort building scripts and automations in Google Sheets and Apps Script, and experience using AI coding tools to build working analyses and internal tools. You will connect paid media, retail, and sales data for CPG and product brands, and turn it into insights, performance forecasts, and recommendations that drive business outcomes.
Key Responsibilities
- Write and maintain SQL in BigQuery that joins media platform, retail, e-commerce, and client-side sales data into clean, reusable tables
- Own data integrity across accounts: QA tracking, tagging, and data feeds, and fix breaks before they reach client reporting
- Build and maintain Looker Studio dashboards aligned to client KPIs and business objectives
- Build and update monthly Impact Estimates using historical performance, benchmarks, and current results; compare against actuals and adjust the method when estimates drift
- Prepare data for and interpret marketing mix models (MMM), incrementality tests, and attribution analysis
- Analyze sales and sell-through data alongside media spend for CPG clients across Amazon, Walmart, Instacart, and DTC
- Write Google Apps Script and Sheets automations for pacing, QA, data pulls, and report prep
- Vibe code internal tools and scripts with AI coding assistants (Claude, Codex, Cursor, or similar), then test and ship them
- Standardize recurring analytics workflows so they run the same way on every account
Strategic & Cross-Functional Responsibilities
- Serve as a subject matter expert for data, measurement, and analytics tooling
- Partner with Strategy on planning inputs and with Performance on interpreting results and improving execution
- Turn analysis into clear, decision-ready recommendations for strategists and clients
- Participate in client calls and presentations to walk through analysis and findings
- Contribute to new business efforts including performance projections, measurement plans, and MMM scoping
- Mentor junior analysts on SQL, data QA, and automation best practices
Requirements
- 5+ years hands-on experience in media analytics, BI, or marketing analytics at a CPG brand, product company, or agency serving them
- Proven experience analyzing sales and marketing data together: spend, impressions, and conversions alongside retail sales, sell-through, or e-commerce revenue
- Advanced SQL, including CTEs, window functions, and multi-source joins
- Strong Google Sheets and Apps Script skills: custom functions, triggers, API pulls, and automations
- Hands-on experience vibe coding with AI tools, including testing and debugging the output
- Working knowledge of paid media platforms (Google, Meta, Amazon Ads, programmatic) and metrics such as ROAS, CPA, NTB, and incrementality
- Experience building dashboards in Looker Studio, Tableau, Power BI, or similar
- Clear communicator who can explain findings to non-technical partners and clients
- Self-starter thriving in fast-paced, entrepreneurial environments
- Experience with MMM platforms such as Meridian, Robyn, PyMC-Marketing, Recast, or Measured (strong plus)
- Familiarity with retail media data (Amazon Marketing Cloud, Walmart Connect, Instacart, Skai), Python or R, or ETL tools such as dbt, Fivetran, or Supermetrics (bonus)
Education: Bachelor's degree (required)
Experience:
- SQL: 3 years (required)
- Marketing or media analytics: 3 years (required)
- Google Sheets / Apps Script: 3 years (required)
- Marketing mix modeling: 1 year (preferred)
Language: English (required)
Location: Hybrid. Must commute to New York, NY 10018 (in person) currently 3-days a week.
Benefits
- 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Parental leave
- Vision insurance
Job Type: Full-time
Pay: $90,000.00 - $120,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Paid time off
- Parental leave
- Vision insurance
Education:
- Bachelor's (Required)
Experience:
- SQL: 3 years (Required)
- Data warehouse: 2 years (Required)
Language:
- English (Required)
Ability to Commute:
- New York, NY 10018 (Required)
Ability to Relocate:
- New York, NY 10018: Relocate before starting work (Required)
Work Location: In person
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Where New York roles are concentrated, by current openings.
Business Intelligence Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Accounting & Auditing
- Technology & Software
- Consulting & Professional Services
What New York Employers Look For
The qualifications that appear most often in business intelligence engineer jobs across New York.
- Bachelor's degree in computer science, information systems, or a related quantitative field
- Proficiency in SQL and experience querying large relational or cloud-based data warehouses
- Hands-on experience with BI platforms such as Tableau, Power BI, or Looker
- Familiarity with ETL processes and data pipeline tools like dbt, Airflow, or Spark
- Experience working with cloud platforms such as AWS, Google Cloud, or Azure
- Strong communication skills translating data findings into business recommendations
Business Intelligence Engineer Jobs in New York: Frequently Asked Questions
How do you become a business intelligence engineer in New York?
Business intelligence engineering has no state-issued license in New York, so entry is credential- and portfolio-driven. Most New York employers expect a bachelor's degree in computer science, information systems, statistics, or a related field, and many prefer candidates with a master's for senior roles. Building a portfolio of SQL queries, dashboard projects, and documented data pipelines is the concrete step that differentiates candidates at New York firms, particularly in finance and media where analytical depth is scrutinized closely.
How much do business intelligence engineers make in New York?
Business intelligence engineers in New York earn a median of about $130,460 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $73,330 for the lowest 10% to over $214,080 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire business intelligence engineers in New York?
Employers hiring business intelligence engineers in New York right now include Amazon, JPMorganChase, and Amazon Web Services, based on current listings on Migrate Mate as of October 2026. New York's density of financial institutions, major media companies, and large hospital systems means hiring is spread across sectors rather than concentrated in a single industry.
Which New York cities have the most business intelligence engineer jobs?
New York, Rochester, and Rye have the most business intelligence engineer openings in New York. New York City dominates because it is home to major financial institutions, global media headquarters, and large healthcare networks, while Buffalo and Albany see consistent demand from regional insurance carriers, state government agencies, and anchor university health systems that maintain active analytics teams.
Are there remote business intelligence engineer jobs in New York?
Yes, and more than most fields. About 82% of business intelligence engineer openings tied to New York are remote or hybrid as of October 2026, reflecting how central this role is to desk-based analytics work. The tasks most likely to stay fully remote are dashboard development, data modeling, and reporting, while roles requiring close collaboration with trading desks or clinical teams in New York City tend to require at least a hybrid schedule.
How can I get hired as a business intelligence engineer in New York with little or no experience?
The most realistic entry path is a junior data analyst or reporting analyst role at a mid-size New York company, then transitioning into a BI engineering title once you have demonstrable pipeline and dashboard work. Large New York employers like Citi and New York-Presbyterian run rotational analyst and technology associate programs that accept recent graduates. Building a public portfolio using tools like Tableau Public or GitHub, and earning an entry-level certification on a major cloud platform, gives candidates a concrete edge when applying to these programs.
Where can I find and apply to business intelligence engineer jobs in New York?
You can find and apply to business intelligence engineer jobs in New York on Migrate Mate, which lists current openings across New York City, Buffalo, Albany, and the broader state. Find roles that fit your experience and specialization and apply directly through each listing.
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