Hire Data Analytics Consultant
who speaks business, not just SQL
Most companies are data-rich and insight-poor: dashboards nobody opens, metrics nobody trusts, decisions made on gut anyway. When you hire a data analytics consultant, you need someone who fixes the decision layer — defining the KPIs that matter, building the pipelines that keep them honest, and making the numbers trustworthy enough to act on. I built analytics infrastructure at Nello, so I've done this from the warehouse up.
I work with founders and operators to answer three questions: what should we measure, can we trust the measurement, and what changed this week. Then I build the system that answers them every week without heroics. Related: analytics and tracking services; engagement options on the hire page.
What You Get
Every engagement is scoped around concrete deliverables — here's what a typical data analytics consulting engagement includes.
KPI framework
A tight set of metrics tied to your business model — acquisition, activation, retention, revenue — with definitions your whole team agrees on.
Dashboard builds
Executive and operational dashboards in Looker Studio or your BI tool of choice, designed for decisions rather than decoration.
Data pipeline setup
Reliable ingestion from your store, CRM, ads, and product into a warehouse (BigQuery) with scheduled, monitored loads.
Tracking audit and repair
Fixing the broken event tracking that makes every downstream number suspect — usually the highest-ROI first step.
Cohort and funnel analysis
Retention curves, funnel drop-off, and segment analysis that show where growth actually leaks.
Team enablement
Documentation and training so your team reads the dashboards correctly and asks better questions of the data.
How It Works
A structured engagement with no surprises — you'll always know what's happening and what's next.
Metrics workshop
We define what winning looks like in numbers — and audit what you're currently measuring against that.
Data and tracking audit
I trace your data from source to dashboard, find the breaks, and prioritize fixes by decision impact.
Build phase
Pipelines, warehouse models, and dashboards built iteratively — you see working numbers within weeks, not quarters.
Handover and rhythm
A weekly metrics rhythm your team can run: what to review, what triggers investigation, who owns each number.
Why Hire Omer Muneer Qazi
I'm Omer Muneer Qazi, a Fractional CTO and Solutions Architect with 15+ years of experience, 100+ projects across 6 countries, and $25M+ in enabled revenue. At Nello I built analytics infrastructure — the pipelines, warehouses, and tracking that executives actually relied on. I pair that with an SEO practice measured entirely on numbers, and senior tenures at Phaedra Solutions, Integriti, Napollo, Nabidios, and EverestX. Dubai-based, working globally.
Warehouse-up experience
I've built the unglamorous foundation — ingestion, modeling, monitoring — so dashboards report truth instead of artifacts.
Decision-first framing
Every metric ties to a decision someone makes. Vanity metrics get cut; the ones that change behavior stay.
Engineering plus analysis
I both build the pipelines and interpret the outputs — no handoff gap between the data team and the business question.
Frequently Asked Questions
Straight answers to the questions I'm asked most about data analytics consulting engagements.
We have messy, scattered data. Where do we start?
With the decisions, not the data. We define the 8–12 metrics that run the business, then trace backward to sources. Most companies find 70% of what they need already exists — it's just disconnected and untrusted.
Which BI tool should we use?
For most growth-stage companies: BigQuery as warehouse, Looker Studio for dashboards — low cost, low maintenance. I'll recommend based on your team's skills and scale, not tool fashion.
How long until we have trustworthy dashboards?
Working core dashboards typically land in 4–6 weeks. Full pipeline maturity — with monitoring and documentation — in about a quarter. You'll see credible numbers early; perfection comes later.
Can you fix our existing GA4/tracking mess?
Yes — tracking repair is often the first engagement. Broken events poison everything downstream, so I audit and fix measurement before building anything on top of it.
Do you work with our in-house data person?
Happily — the best engagements pair my architecture experience with someone who knows your business data. I also mentor junior analysts into owning the system afterward.
Ready to get started?
Tell me about your data analytics consulting needs — I'll reply within one business day with honest first thoughts and clear next steps.