Senior Data Analyst

Job not on LinkedIn

🕒 August 10

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

📉 Data Analyst

👻 Ghost score 27%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stellartech Research Corporation

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Stellartech Research Corporation is a world leader in the design, development, and contract manufacturing of sophisticated medical systems utilizing radiofrequency, ultrasound, and other energy sources. The company specializes in creating systems that combine disposable patient-contact devices with microprocessor-controlled instruments, incorporating complex electronics for sensor feedback and therapeutic energy delivery. Stellartech's expertise spans the development and manufacturing of diverse medical products, including diagnostic systems, surgical probes, and catheters for minimally invasive therapies. The company collaborates with businesses of all sizes, as well as entrepreneurs and physicians, to bring product ideas from concept to market introduction, providing resources and infrastructure as a partner throughout the process. With its extensive facility, Stellartech produces a wide array of Class II and Class III devices compliant with QSR and ISO 13485:2016 standards.

📋 Description

• Own and develop the LTV prediction algorithm • Identify parameters and factors that improve forecast accuracy • Prototype algorithm improvements in SQL and measure gains • Hand validated logic over to Data Engineering • Validate forecasts on closed cohorts • Monitor forecast quality over time • Explain deviations between predicted and actual LTV • Research how product features, segments, and purchase sources affect LTV • Adapt prediction logic based on analytical findings • Conduct end-to-end analytical research from vague questions to documented recommendations • Advise Product, UA, and Finance on payback, media buying concentration, and company-level unit economics • Automate analytical routines and model-quality monitoring with Data Engineering • Report to the Head of the Operational Department and collaborate with Product, UA, Finance, and Data Engineering

🎯 Requirements

• 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus • Experience measuring the impact of factors on business metrics, not marketing attribution • Strong SQL, including complex queries, window functions, and optimisation • Solid mathematical statistics and understanding of ML models • Ability to build and validate forecasts • Ability to judge model quality using MAE, RMSE, MAPE, and R2 • Experience with factor analysis and explaining model deviations • Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, and payback • Experience with subscriptions or other in-app B2C models; ad-only monetization is not a fit • Proven end-to-end analytical research pattern from vague question to hypothesis, investigation, and recommendation • Ability to support conclusions with data and communicate with technical and business stakeholders • Python with pandas, numpy, and scikit-learn is welcome but not required • A/B testing and statistical hypothesis testing • BI tools such as Tableau, Looker, or Power BI • Cloud DWH and large data volumes, including Athena, BigQuery, Snowflake, Redshift, or similar • Feature engineering and model interpretation using SHAP or feature importance is a plus • Mobile products, gaming, or subscription business experience is a plus

🏖️ Benefits

• Competitive salary • Flexible paid time off • 21 days of annual leave • 10 bank holidays • Impactful work shaping the future of the company • Innovative EdTech environment • AI solutions • Collaborative culture