We’re hiring · Contract · Remote
Analytics Engineer
Type
Contract, project based
Hours
10 to 15 per week
Location
Remote
Initial term
3 months
We're looking for a contract analytics engineer to own the data layer behind our client work.
Clarivon is a data strategy, analytics, and applied AI consultancy. We help leaders of complex, multi-site organizations turn fragmented data into decisions they can act on.
You'll take messy exports and live APIs from operational platforms and turn them into clean, trusted, documented tables that analysis and reporting can stand on. The founder leads scoping, client relationships, and recommendations. You build the foundation those recommendations rest on.
01 · What you will work on
The shape of the work
Clean data layers
Pull data from platform APIs and exports, model it, and push clean records back into downstream tools to close sync gaps like missing records, stale fields, and duplicates.
Retention and churn analysis support
Build the snapshot tables and cohort labels that churn analysis and predictive scoring depend on, with strict leakage prevention.
Operational analytics inputs
Join transactional, visit, and sensor data to show utilization, capacity, and pricing opportunities.
Reporting infrastructure
Stand up recurring dashboards client teams can use on their own.
Platform migration
Move prototypes built on tools like Airtable and Retool into production databases with clean schemas and documented keys.
Tracking and attribution setup
Help clients put clean tracking and source attribution in place before launches and campaigns.
02 · What you will do
The work, group by group
Day to day
Our clients are multi-site organizations running several operational platforms that don't agree with each other: membership or practice management systems, CRMs, equipment service and asset records, email automation tools, web analytics, and sensor or IoT data.
- Ingest data from platform APIs and CSV exports, including large check-in files
- Build and maintain a one-row-per-customer model with derived status from source records, not cached platform fields
- Validate every output before it ships: reconcile row counts and totals against source, test for duplicates, nulls, and broken joins, and document the checks you ran
- Write and maintain data dictionaries for every table you ship
- Spec field mappings and document sync issues clearly enough to hand to a vendor
- Build snapshot tables and labels that support churn analysis and, later, predictive scoring
- Build dashboards in Looker Studio, Retool, or a similar tool
- Automate recurring data pulls and quality checks
- Handle customer data carefully: minimal PII storage, access only with written client approval
- Flag data quality risks early and quantify them
03 · What we are looking for
What you'll need
Requirements
- 3+ years in analytics engineering, data engineering, or a data-heavy analyst role
- Strong SQL and Python (pandas or similar)
- Experience with dbt and a cloud warehouse or managed Postgres (BigQuery, Supabase, or similar)
- REST API integration experience: authentication, pagination, incremental loads
- Proven work cleaning and reconciling data across systems that don't match
- Clear written documentation habits
- Daily use of AI tools (Claude, Copilot, or similar) to speed up builds, with the judgment to verify their output
Detail-oriented by default. Our clients make pricing, staffing, and capacity decisions from these numbers, so you check your own work before anyone else sees it.
04 · Nice to have
Useful, but not required
- Experience with membership, healthcare, medical device service, CRM, or health-tech SaaS data
- Churn modeling or basic ML in Python (scikit-learn or similar)
- GA4, Google Tag Manager, or call tracking setup
- Experience with data from small or mid-sized businesses where records are incomplete
- Extracting structured data from PDFs and scanned documents
- Integrations with Salesforce, ServiceMax, SAP, or other CMMS and ERP systems
- Consulting or agency background with direct client exposure
05 · Role details
Hours, structure, and where you can be based
Engagement
You'll work directly with the founder. Scope is written down before work starts, deliverables are reviewed against it, and client communication runs through Clarivon.
Contract and project based, 10 to 15 hours per week, on an initial three-month term with potential to extend into a longer-term or full-time role as client engagements grow.
Confidentiality
NDA and IP assignment required.
Client data stays in approved systems. We store the minimum personal data necessary and access it only with written client approval.
Location
This role is fully remote, with a preference for candidates based in South Africa, Egypt, and India. Wherever you are, your schedule must overlap with Eastern Time for at least 3 hours per day.
06 · Hiring process
Three steps, start to offer
- 01
Initial assessment
15 to 20 minutes, linked below.
- 02
Live video interview
A conversation with Clarivon's founder.
- 03
Final round
A short case study presented live.
Ready to apply?
Start with the assessment. It takes 15 to 20 minutes, and it is the first step for every candidate. Applications close on November 14, 2026.