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Iman Saghir

@imansaghir

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Analytics Engineer building scalable ETL pipelines and metric-integrity reporting.

United Kingdom

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What I'm looking for

I’m looking for a role where I can build reliable, scalable pipelines and trustworthy reporting—partnering with stakeholders to deliver data models, dashboards, and metric integrity with strong data quality and observability.

I’m an Analytics Engineer specialising in building scalable data pipelines and integrating SaaS APIs into modern cloud data warehouses. I focus on data quality, observability, and business metric integrity—from extraction through transformation to trusted dashboards.

In my current role at Behavox, I designed and maintained Python-based ETL pipelines pulling HubSpot data via API into BigQuery. I implemented incremental ingestion to minimise API rate limit constraints, added automated cron scheduling with Slack alerting, and built revenue analytics dashboards and historical snapshot models to support ARR and pipeline reporting.

Previously at Solaris EMI/Contis Group, I built and maintained SQL-based DBT data models with tests and documentation, supported stakeholders with Snowflake-backed analysis, and delivered dashboards for risk and user profiling. Earlier, as a Global Customer Data Analyst at Railsbank and a Data Analyst at TUI, I owned KPI reporting, built DBT pipelines into Snowflake, and automated financial data extraction using Knime—always partnering closely with business teams to translate requirements into production-grade analytics.

Experience

Work history, roles, and key accomplishments

Current

Analytics Engineer

Current

Behavox

Apr 2025 - Present (1 year 1 month)

Designed and maintained Python-based ETL pipelines to extract HubSpot data via API and load into BigQuery. Built revenue analytics dashboards in Omni (cohorts, ARR tracking, pipeline metrics) and implemented incremental ingestion, cron/Slack observability, reconciliation testing, and data quality validations.

Python ETL BigQuery Data Validation Slack Alerting Data Reconciliation

Analytics Engineer

Solaris Emi/Contis Group

Nov 2022 - Apr 2025 (2 years 5 months)

Built and maintained SQL data models in dbt, including data tests and model documentation. Developed Tableau dashboards using a Snowflake backend, monitored alerts, and supported stakeholders with analysis, data-marts, and risk/fraud analytics use cases.

DBT SQL Snowflake Tableau Data Testing Data Modeling Dashboarding Data Observability Stakeholder Management Customer Risk & Fraud Analytics

Global Customer Data Analyst

Railsbank

Mar 2022 - Nov 2022 (8 months)

Owned sales, customer, and marketing dashboards as the sole data analyst. Built DBT-based ETL pipelines into Snowflake and created visualizations in Looker to support COO collaboration on a demand funnel and identification of customer journey blockers.

DBT ETL Snowflake Looker Dashboard Development Data Visualization SQL

Data Analyst

TUI Group IT

Jul 2021 - Mar 2022 (8 months)

Maintained and developed dashboards using Spotfire and Tableau within the Technology Analytics team. Automated extraction and pre-processing of financial data from SharePoint to AWS Redshift using KNIME, partnering with stakeholders to clarify data requirements.

Spotfire Tableau KNIME AWS RedShift Dashboarding Stakeholder Management

Revenue Analyst

Bourne Leisure Ltd

Aug 2019 - Aug 2020 (1 year)

Developed reporting and performance analysis to support pricing and revenue strategy. Produced KPI tracking packs for weekly and monthly commercial performance and collaborated with infrastructure teams to introduce new metrics into reporting systems.

Revenue Analytics Pricing Strategy KPI Tracking Metrics