Your analytics and BI tools
Work in your GA4, Looker, Tableau, or warehouse views, and collaborate in Slack or Teams with marketing and product.
Sigi Technologies
Hire Marketing Analysts
Attribution, dashboards, and reporting someone will maintain — not a one-off Looker screenshot.
Trusted by startups and established businesses worldwide
Glenshire
Allfor Care
3DLogistiX
Antrak
Busy Bean
Recognized & reviewed on
What a marketing analyst is hired to move
Definitions you can reuse
Events, channels, and conversions named once so weekly reports stop arguing with each other.
Dashboards someone owns
Views that match decisions your team already makes — not a graveyard of unused tiles.
Honest limits on attribution
What the data can and cannot say. No invented multi-touch percentages.
Hire Marketing Analysts for Measurement You Can Act On
This role is part of Hire Marketing. Our analysts embed into your marketing workflow, work in your analytics stack, and produce numbers the rest of the team can use without a translation layer.
Reporting is easy to publish and hard to trust. We focus on tracking integrity, funnel definitions, and experiment design so spend and product decisions share one model.
Related marketing capacity lives on Hire PPC Specialists and Hire Brand Strategists.
Key milestones
180+
Skilled software engineers delivering excellence
10+
Years of dedicated industry experience
200+
Successful software development projects
80+
Global clients
Our Marketing Analyst Services
We embed analysts who contribute like long-term team members and own work across tracking, dashboards, and experiment readout.
Tracking plans and event quality
Event maps, conversion definitions, and source of truth rules so paid, product, and CRM numbers stop competing.
Dashboards leadership will use
Spend, pipeline, and funnel views in your BI or analytics tool, scoped to decisions rather than every available metric.
Funnel and cohort analysis
Acquisition, activation, and retention cuts that show where the drop happens and what to test next.
Experiment design and readout
Hypotheses, sample checks, and written conclusions so tests produce a decision instead of another slide.
Data hygiene and attribution
UTM standards, channel mapping, and attribution caveats that keep weekly reviews honest.
Stakeholder reporting
Weekly notes for marketing, product, and finance with what changed, what is blocked, and what to do next.
When Teams Hire
Marketing Analysts
Teams typically hire marketing analysts when reports conflict, attribution is unclear, or leadership needs numbers that survive a finance review.
Weekly reviews stall because nobody can reconcile spend, sessions, and pipeline from the same definitions.
Last click, platform-reported, and CRM influenced numbers all exist, but the team has no agreed model.
Campaigns and channels change, but there is no analyst who can show what moved and what to cut.
Landing and creative experiments run, then fade because sample, metric, and decision rules were never set.
You need tracking, dashboards, and a first readout plan before paid and product traffic arrive.
The team needs a measurement owner so channel specialists can stay on execution.
How we staff marketing analysts
Measurement staffing next to real data work — no invented ROI
Sigi builds operational and analytics-heavy software (for example warehouse and admin reporting on shipped products). That is product/data capability, not a published marketing-attribution case study. We will not invent ROAS or incrementality figures. An analyst embed works in your warehouse, GA4, or BI tools.
Put an owner on marketing measurement
If channel reports disagree, we embed an analyst into your analytics stack. We do not invent an attribution model that “proves” ROI.
Marketing Analysts by Focus
Hire Marketing includes analyst talent across web, paid, and experiment measurement because many teams search by the questions they need answered.
Web and product analytics
GA4, product events, and funnel definitions for sites and apps where activation quality matters as much as traffic.
Paid media measurement
Spend, conversion, and channel mapping that sit next to Google, Meta, and LinkedIn account owners.
Growth and experiment analytics
Cohorts, holdouts, and test readouts for teams running continuous landing, pricing, or lifecycle experiments.
How we work
How We WorkInside Your Team
Analyst augmentation works best when the person operates inside your analytics stack and marketing cadence.
Your metric and privacy rules
Follow your conversion definitions, PII constraints, and approval path so reports do not invent a second data policy.
Weekly cadence and definition of done
Deliver in a weekly or sprint-aligned rhythm with documented assumptions, open questions, and a next action.
Common Outcomes
Teams Expect
Analysis should reduce argument time in reviews and make the next spend or product change easier to choose.
Shared definitions cut the time spent reconciling ads, analytics, and CRM.
Weekly reviews end with a cut, hold, or test instead of another request for slides.
Hypotheses and sample checks keep experiments from fading after launch.
Marketers stay on campaigns while measurement has a dedicated owner.
Give Spend and Funnel Reviews One Source of Truth
Many teams start with one analyst and expand after the first delivery cycle proves fit. Joining mid-program to repair tracking and stand up a usable weekly readout is a common engagement.
- Web and product analytics
- Paid media measurement
- Experiment design and readout
- Dashboards and weekly reviews
Brands and organizations that trust our delivery
Glenshire
Allfor Care
3DLogistiX
Antrak
Busy Bean
Glenshire
Allfor Care
3DLogistiX
Antrak
Busy Bean
How we staff analyst roles
Engagement Options
Choose a model based on whether you need ongoing measurement, a specialist for a launch, or a small marketing pod.
Dedicated Marketing Analyst
Best for continuous tracking, dashboards, and weekly decision support.
Measurement Specialist
Best for attribution cleanup, launch baselines, or experiment programs.
Pod Based Marketing Delivery
Faster end-to-end outcomes: analyst plus PPC or brand support so spend and messaging share the same evidence.
Frequently Asked Questions
Yes. Joining mid-program to repair tracking, tighten definitions, and keep weekly reviews going is a common engagement.
Yes. Direct collaboration with paid media and brand roles is expected so spend decisions and reports use the same model.
No. Many teams start in GA4 and ad platforms, then move warehouse work only when the questions require it.
Yes. Many teams start with one analyst and expand after the first delivery cycle proves fit.
We will help you measure what your data supports. We will not invent a model that “proves” ROI you cannot defend.
Whatever you already run — GA4, BigQuery, Looker, Metabase, or spreadsheet-plus-warehouse. We do not require a rip-and-replace.