Turn data into actionable insights with senior data analysts who drive measurable business outcomes.
From product analytics and conversion funnels to executive dashboards and compliance reporting, our data analysts help you make faster decisions, improve operational visibility, and keep reporting predictable. AI-assisted delivery aligned to customer requirements for cost efficiency and faster turnaround.
Analytics delivery governance
Reduce reporting risk with explicit data validation, metric documentation, and quality checks tailored to analytics delivery.
Controls teams ask for before analytics launch
Accuracy, consistency, and documentation discipline mapped to how modern analytics teams actually ship.
Shortlist turnaround
4.1 days median across recent analytics roles
Kickoff speed
9 days median from selection to sprint start
90-day continuity
95% of engagements active after month three
Automated checks and manual review processes to ensure reports are accurate before stakeholder distribution.
Quality-ready
Full ownership of dashboards, reports, and analytics assets from day one.
Legal-ready
Documented metric definitions and data lineage for consistent reporting and audit readiness.
Governance-focused
Talent pool preview
Review a balanced shortlist with specialist, senior, and principal depth so you can hire for immediate delivery and long-term technical leadership.
Senior Data Analyst
7 years
Role-matched
Led product analytics for a B2B SaaS platform, building self-serve dashboards that reduced time-to-insight by 40% and supported a 25% improvement in feature adoption tracking.
Data Analyst
5 years
Role-matched
Built conversion funnel and attribution reporting for a multi-channel ecommerce brand, enabling data-driven marketing decisions that increased ROAS by 18%.
Principal Data Analyst
10 years
Role-matched
Architected compliance and risk reporting for a fintech firm, implementing documented data lineage and audit-ready dashboards that passed regulatory review with zero findings.
Need a wider shortlist?
We can share additional data analyst profiles by seniority, timezone, and domain fit.
Analytics engagement options
Start with focused reporting work or scale to a full analytics pod as your stakeholder needs grow.
Model selection support
We map analytics role shape to roadmap pressure, tool complexity, and stakeholder expectations.
Best for iterative reporting, dashboard maintenance, and ad-hoc analysis.
Starts from $2,000 / month
Best for: Steady reporting improvements and maintenance
Large-scale BI implementations and data engineering are scoped separately.
Best for core analytics delivery with daily ownership and stakeholder alignment.
Starts from $4,000 / month ($25/hour)
Best for: Active analytics roadmap execution and stakeholder integration
BI tool licensing and data platform costs are billed separately.
Best for new analytics programs, major BI rollouts, and cross-functional execution.
Starts from $12,000 / month
Best for: High-stakes initiatives with significant coordination needs
Specialized data science and ML work are scoped separately.
Analytics hiring process
The process is tuned for analytics delivery risk: domain fit, tool depth, and communication quality.
Typical kickoff window
Most teams start analytics delivery with selected talent in 7-14 days.
Decision points are explicit: analytics implementation depth, stakeholder communication, and data quality discipline are validated before kickoff.
We map your reporting objectives, stakeholder needs, and data sources to define role scope and success metrics.
Review candidates with prior experience in similar domains, BI tools, or industry constraints.
Interviews test SQL, visualization design, and stakeholder communication for real reporting scenarios.
Selected analysts join your workflows with clear ownership and immediate first-sprint deliverables.
Why product teams hire us for data analytics
You get analysts who can deliver production-grade reporting without the overhead of a traditional analytics team. AI-assisted delivery aligned to customer requirements.
Built for high-stakes analytics delivery
Designed for teams shipping SaaS products, ecommerce tools, fintech platforms, and operations-critical reporting.
Typical start
9 days median to sprint kickoff
Report accuracy
20-30% median reduction in reporting errors
Decision speed
Time-to-insight reduced quarter-over-quarter
Analysts integrate into your data sources, metrics, and stakeholder workflows quickly. AI tools accelerate repetitive analysis.
Velocity
Analysts prioritize data validation and clear visualization to ensure insights are actionable and trusted.
Reliability
Selective AI acceleration reduces manual report building and speeds delivery while maintaining quality at $25/hour.
Value
Service scope
Use this service scope to match your analytics roadmap to the right implementation pattern, whether you need product insights, compliance reporting, or growth dashboards.
Product and Business Analytics
Our data analysts build cohort analyses, funnel reports, and retention dashboards for B2B SaaS teams to understand feature adoption and user engagement.
Hire data analysts to map ecommerce conversion paths, identify drop-off points, and attribute revenue to marketing channels for growth optimization.
Design and maintain executive-ready dashboards with real-time KPIs, trend analysis, and automated reporting for stakeholder alignment.
BI and Visualization
Implement and optimize Tableau, Power BI, or Looker workspaces with clean data models, reusable metrics, and self-serve analytics for business users.
Create clear, actionable visualizations that communicate complex data insights to non-technical stakeholders and support decision-making.
Build automated reporting pipelines with dbt or SQL that reduce manual effort and ensure consistent, timely delivery of key metrics.
Data Quality and Governance
Design fintech-grade reporting for regulatory submissions, audit trails, and compliance dashboards with documented data lineage.
Implement data quality checks and validation rules to ensure reports are accurate and reliable before they reach stakeholders.
Integrate data from multiple sources—CRM, analytics tools, databases—into unified views for holistic business visibility.
Analytics stack
Stack choices are optimized for fast iteration, clear reporting, and long-term maintainability across modern business environments.
Hiring readiness
Use this decision hub to align analytics interview depth, set quality boundaries, and connect hiring to measurable outcomes.
Owns
Collaborates on
Structured by level for consistent and faster interviewer calibration.
junior
Fundamentals and execution reliability
mid
Delivery ownership and decision quality
senior
Architecture, risk control, and leadership
Faster data-driven decisions
Get actionable insights without the overhead of local hiring or lengthy report cycles. AI-assisted delivery reduces manual analysis and accelerates turnaround.
Cost efficiency through selective AI acceleration
Scale your analytics bandwidth at a predictable rate. Best-rate positioning with quality controls at $25/hour.
Higher report accuracy
Improve reliability with analysts who validate data, document metrics, and catch errors before they reach stakeholders.
Lower reporting risk
Use analytics best practices and data validation to reduce incorrect decisions and compliance gaps.
Scalable analytics teams
Start with one data analyst and expand to a full analytics pod as reporting needs grow.
Client feedback from delivery partnerships across product teams.
“The data analyst integrated seamlessly and helped us build self-serve dashboards that cut our time-to-insight by 40% within the first two months.”
Rachel T.
Head of Product, B2B SaaS startup
“We significantly improved our conversion funnel visibility and made data-driven marketing decisions within three months of hiring through Codexty. AI-assisted delivery kept costs predictable.”
James K.
VP Growth, Ecommerce brand
“Our compliance reporting passed regulatory review with zero findings. The analyst's attention to data lineage and documentation was exceptional.”
Maria L.
Compliance Officer, Fintech platform
Answers to practical decision questions before you hire.
Most analytics projects begin onboarding within 7-14 days after role alignment and interview completion.
Yes. We specialize in modern BI tools including Tableau, Power BI, Looker, and product analytics platforms like Amplitude and Mixpanel.
Yes. We support product analytics, cohort analysis, funnel reporting, and attribution modeling for SaaS and ecommerce teams.
We use AI-assisted tooling where it accelerates delivery—SQL generation, report templating, and data exploration—while maintaining strict quality controls and human validation.
Our data analytics services start at $25/hour, providing high-quality reporting and insights at a competitive rate.
Share your requirements, we shortlist matched profiles, and your selected engineer starts with a clear onboarding plan. Initial response in under 24 hours.
Explore adjacent hiring options based on your roadmap needs.
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Hire SQL developers experienced with query optimization, stored procedures, data modeling, and ETL pipelines for scalable data delivery. AI-assisted delivery at $25/hour.
Hire Python developers experienced with Django, FastAPI, Flask, AI/ML integration, and data engineering for high-performance application delivery.
Hire QA engineers experienced with manual testing, automated testing (Cypress, Playwright, Selenium), and performance testing for bug-free product delivery.
