>>>> Business Data Engineer/Analyst (SQL / Python / Looker Studio/GHL) – Immediate Start | Remote

About the role
Own our analytics stack end-to-end: turn raw data into clear business insights, build robust reporting systems, and partner with leadership to drive decisions. You’ll design datasets, automate pipelines, and deliver dashboards that the team actually uses.

Core responsibilities
> Analytics & insights: Translate business questions into queries, analyses, and recommendations; tell the story behind the numbers.
> Data modeling & pipelines: Build/maintain repeatable SQL models, scheduled jobs, and data quality checks.
> Dashboards & reporting: Ship clear Looker Studio dashboards and KPI reports; define metrics, targets, and alerting.
> Python tooling: Use Python for ETL, data cleanup, enrichment, and ad-hoc analysis (pandas/NumPy).
> CRM analytics: Map and standardize objects/fields, ensure data hygiene, and produce funnel/conversion reporting from the CRM.
> Experimentation & ROI: Support A/B tests, marketing and sales performance analysis, and unit economics.
> Documentation: Metric definitions, data dictionaries, runbooks, and “how to read this dashboard” guides.

Requirements

> 5+ years in data/business analytics with proven impact.
> Data-driven orientation and strong business acumen (can challenge assumptions and propose actions).
> Advanced SQL (joins, CTEs, window functions, optimization).
> Python for data wrangling and automation (pandas, scheduled scripts).
> Looker Studio (or similar BI) for clean, stakeholder-friendly dashboards.
> Experience with at least one CRM platform (object model, reporting, exports, API/webhooks a plus).
> Comfortable defining KPIs, building reporting layers, and maintaining data quality.
> Excellent English (written & spoken), crisp communication, and on-time delivery.

Big plus
> GA4/GTM, marketing & sales funnels, revenue analytics.
> Familiar with GoHighLevel
> dbt/ETL tools, cloud SQL (BigQuery/MySQL/Postgres), version control (Git).
> Real-estate or high-velocity sales ops experience.

What success looks like
> Trusted dashboards, consistent KPIs, actionable insights, and automated reports that reduce manual work and drive better decisions.

How to apply
> Email or Teams with: “I’m A Data Wizard” at the top
> My Teams ID is selashimon
> Link to your CV
> 2–3 dashboard/report samples (redact sensitive data) + brief notes on the problem and outcome
> Your monthly salary expectation (USD), availability/time zone
> Tooling you’ve used (SQL engines, Python libs, BI, CRM) and one example of a metric you’ve defined and scaled