> Markdown version of [/jobs/ext/4257293-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/4257293-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Analyst

- **Company:** LTD Global
- **Location:** Cincinnati, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Big Data, Data Cleansing, Data Integration, Python (Programming Language), Salesforce.Com, SQL Databases, Sql Optimization, Snowflake, Information Technology
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fa3fd5703a1c9b25

## About the Role

* Proven commercial analytics experience focused on customer value optimization, cross-selling, retention and engagement, ideally within payments, financial services or an SME environment.
 * Advanced SQL and Python skills, including experience preparing complex datasets, building analytical models and automating workflows.
 * Experience designing test-and-learn frameworks, measuring incremental impact and using results to guide commercial decisions.
 * Strong analytical and problem-solving skills, with a track record of translating complex data into measurable business outcomes and clear stakeholder recommendations.
 * A bachelor's or master's degree in Statistics, Mathematics, Computer Science, Engineering, Finance or a related discipline.

It's a bonus if you have

 * Experience working with Snowflake and application programming interfaces, or APIs.
 * Experience integrating data solutions with Salesforce CRM.
 * Knowledge of the payments industry, small and medium-sized businesses, and existing-customer management strategies.

You'll bring an entrepreneurial mindset, move comfortably in a fast-paced envi

ronment and maintain a strong focus on execution across multiple priorities. You'll think like a client by using data to understand customer needs, act like an owner by taking accountability for commercial outcomes, and win as one team by helping stakeholders turn insight into action.

## Description

* Use advanced analytics to identify opportunities that increase customer value, product adoption, engagement and revenue across the existing customer portfolio.
 * Design and implement customer segmentation, contact strategies, predictive models and test-and-learn programs focused on cross-selling, retention, dormancy reactivation and attrition reduction.
 * Analyze transactional and financial data and evaluate new internal and external data sources to improve propensity, dormancy and service-action models.
 * Partner with Service and Relationship Management teams to understand customer journeys, improve conversion and translate insights into actionable commercial strategies.
 * Develop automated Python- and SQL-based workflows for data preparation, modeling, campaign execution and ongoing performance measurement.