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Business Intelligence Analyst

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Darwill, Inc.
Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Description

About Us

Darwill is a third-generation, family-owned performance-based marketing company based in the western suburbs of Chicago, IL. Since 1951, we’ve helped clients grow through omnichannel marketing powered by data, strong creative, and measurable performance.

Our Mission:

To empower national and local businesses through performance-based marketing by executing complex location-based data-driven campaigns, leading to increased sales, sustainability, and an improved return on investment.

Role

Summary:

We’re hiring a hands-on BI reporting specialist to keep our reporting engine running—accurate, on time, and continuously improving. This is a supporting BI role that partners closely with our Senior BI Strategist to execute and scale the BI vision. You will focus on delivery and operational excellence: maintaining and enhancing Tableau dashboards built on data in Databricks, with strong QA practices to ensure client-facing outputs are correct and consistent.

You will produce client-facing deliverables (dashboards, exports, reporting views) and interface with internal stakeholders, but you will not be responsible for client presentations.

Examples of Dashboards & Reporting You’ll Support:
  • Campaign performance dashboards (channel pacing, conversion trends, creative/offer performance, and budget impact).
  • Matchback and attribution-style reporting that ties marketing activity to outcomes.
  • Location-level rollups and drill-downs for multi-location clients (store/market comparisons).
  • Customer vs. prospect profiling and audience segmentation views.
Key Responsibilities:

Reporting Production
  • Own assigned reporting deliverables end-to-end: refresh validation, dashboard updates, enhancements, and delivery-ready outputs.
  • Build and maintain Tableau dashboards: parameters, filters, calculated fields, layout standards, and usability.
  • Support reporting for multi-location clients (location-level detail and roll-ups).
Data QA and Reliability
  • Perform QA before outputs are used internally or client-facing: reconciliation checks, trend validation, anomaly detection, and definition consistency.
  • Escalate issues with clarity: what changed, impact, suspected cause, and recommended next step.
Enhancements and Upgrades
  • Implement dashboard enhancements: new views, improved filtering, and data storytelling.
  • Add/refine KPI calculations and definitions under BI team direction.
  • Improve performance by reducing dashboard load time and optimizing calculations/queries.
Documentation and Repeatability
  • Maintain KPI definitions and reporting documentation (glossary, refresh cadence, dashboard intent, known limitations).
  • Create and execute on repeatable checklists and SOPs for production and QA to ensure consistency at scale.
What Success Looks Like First 30–60 days
  • Familiarize yourself with our data stack, core datasets in Databricks, and the business context behind our most-used dashboards
  • Demonstrate strong QA habits and catch issues early
By 90 days
  • Own a stable portfolio of recurring client-facing outputs with minimal rework
  • Ship measurable dashboard improvements (clarity, usability, or speed)
By 6 months
  • Increase reporting throughput via templating, documentation, and workflow improvements
  • Become a trusted execution owner who can deliver impactful new reports from intake ? build ? QA ? release, in partnership with the Senior BI Strategist
Qualifications (required)
  • 1–3 years experience in BI, analytics, reporting, marketing analytics, or a data-adjacent role.
  • Experience building and maintaining dashboards in a modern BI tool (Tableau strongly preferred).
  • SQL (basic–intermediate): joins, aggregations, and writing queries to validate/report on datasets (you don’t need to be a data engineer).
  • Strong Excel/Google Sheets skills (pivots, lookups, conditional logic).
  • High attention to detail and accountability—client-facing reporting requires accuracy.
  • Clear communication and comfort working through priorities, tickets, and deadlines.
Qualifications (preferred)
  • Familiarity with Databricks (or similar cloud data platforms).
  • Exposure to marketing data sources (CRMs, GA4, paid media platforms, call tracking, etc.).
  • Experience working with data pipelines/connectors/APIs or troubleshooting data freshness issues.
  • Comfort working in a task/ticket workflow (, Jira, Asana, etc.).
Hybrid Work Expectations

This role requires 2–3 days/week in the Oakbrook Terrace office (specific days determined by team needs). Must be able to reliably commute to western Chicago suburbs.

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