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
Attribution, dashboards, and reporting someone will maintain — not a one-off Looker screenshot.
Recognized & reviewed on
Events, channels, and conversions named once so weekly reports stop arguing with each other.
Views that match decisions your team already makes — not a graveyard of unused tiles.
What the data can and cannot say. No invented multi-touch percentages.
This seat sits within 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: easy to publish, hard to trust — we staff for the hard half. 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.
180+
Skilled software engineers delivering excellence
10+
Years of dedicated industry experience
200+
Successful software development projects
80+
Global clients
The analysts we place own tracking, dashboards, and experiment readout end to end, the way an in-house hire would — with the same reporting duty.
Event maps, conversion definitions, and source of truth rules so paid, product, and CRM numbers stop competing.
Spend, pipeline, and funnel views in your BI or analytics tool, scoped to decisions rather than every available metric.
Acquisition, activation, and retention cuts that show where the drop happens and what to test next.
Hypotheses, sample checks, and written conclusions so tests produce a decision instead of another slide.
UTM standards, channel mapping, and attribution caveats that keep weekly reviews honest.
Weekly notes for marketing, product, and finance with what changed, what is blocked, and what to do next.
Marketing leaders add 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
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.
If channel reports disagree, we embed an analyst into your analytics stack. We do not invent an attribution model that “proves” ROI.
Hire Marketing includes analyst talent across web, paid, and experiment measurement because many teams search by the questions they need answered.
GA4, product events, and funnel definitions for sites and apps where activation quality matters as much as traffic.
Spend, conversion, and channel mapping that sit next to Google, Meta, and LinkedIn account owners.
Cohorts, holdouts, and test readouts for teams running continuous landing, pricing, or lifecycle experiments.
How we work
Marketing staff augmentation only pays off when the person operates inside your analytics stack and marketing cadence.
Work in your GA4, Looker, Tableau, or warehouse views, and collaborate in Slack or Teams with marketing and product.
Follow your conversion definitions, PII constraints, and approval path so reports do not invent a second data policy.
Deliver in a weekly or sprint-aligned rhythm with documented assumptions, open questions, and a next action.
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.
Engagements typically open with one analyst owning a single channel or calendar, and scope grows once the first reporting cycle earns trust. Coming in mid-program to repair tracking and stand up a usable weekly readout is a typical first engagement.
Brands and organizations that trust our delivery
How we staff analyst roles
Match the model to the program: a standing owner for a channel, a specialist for a launch, or a small pod when several channels have to move at once.
Best for continuous tracking, dashboards, and weekly decision support.
Best for attribution cleanup, launch baselines, or experiment programs.
Faster end-to-end outcomes: analyst plus PPC or brand support so spend and messaging share the same evidence.
Yes. Coming in mid-program to repair tracking, tighten definitions, and keep weekly reviews going is a typical first 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. Engagements typically open with one analyst owning a single channel or calendar, and scope grows once the first reporting cycle earns trust.
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.
We screen on channel-specific work samples and on how candidates report — not slide decks or promised lifts. A vetted shortlist follows within 3 days, you interview your preferred candidates, and you can start on a two-week trial inside your tools and calendar before committing.