> Markdown version of [/jobs/ext/3570932-remote-senior-data-analyst-data-scientist](https://www.wearedevelopers.com/jobs/ext/3570932-remote-senior-data-analyst-data-scientist). 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). --- # Remote: Senior Data Analyst / Data Scientist - **Company:** Intepros Incorporated - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Contract - **Skills:** Microsoft Excel, A/B Testing, Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Big Data, Code Reuse, Databases, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Visualization, Relational Databases, Database Queries, Decision Support Systems, Executive Information Systems, Python (Programming Language), Machine Learning, Microsoft SQL Server, Minitab, NumPy, Oracle (Applications), Microsoft PowerPoint, Power BI, SAP (Applications), SQL Stored Procedures, SQL Databases, Tableau (Software), Enterprise Data Management, Jupyter Notebook, Qliksense, Google Cloud, Cloud Platform System, Sql Optimization, Snowflake, Git, Pandas, Scikit Learn, Information Technology, Optimization Algorithms, Data Analytics, Tools for Reporting, Servicenow - **Published:** October 3, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pourxbbm2l ## About the Role * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics, or a related discipline. * 5+ years of experience as a Senior Data Analyst, Business Intelligence Analyst, or in a similar analytics-focused role. * 2-4 years of experience applying advanced analytics, predictive modeling, statistical analysis, machine learning, or forecasting techniques to solve business problems. * Advanced SQL skills, including experience writing complex queries, joins, common table expressions (CTEs), window functions, and stored procedures against large relational databases. * Strong Python programming experience for data analysis, automation, statistical modeling, and reporting, including experience with libraries such as Pandas, NumPy, and Scikit-learn. * Experience developing dashboards, visualizations, and KPI reporting using Power BI, Tableau, Qlik Sense, or similar business intelligence platforms. * Experience working with enterprise data platforms and databases such as SQL Server, Oracle, Snowflake, SAP, or comparable systems. * Knowledge of data visualization, ETL concepts, data validation, automation, and reporting best practices. * Advanced proficiency with Microsoft Excel and PowerPoint for data analysis, reporting, and executive presentations. * Experience working with large, complex enterprise datasets from multiple structured data sources. * Demonstrated ability to translate complex analytical findings into clear, actionable business recommendations for senior leadership. * Strong analytical thinking, problem-solving, and communication skills with the ability to present technical concepts to both technical and non-technical audiences. * Proven ability to manage multiple priorities, work independently, and collaborate effectively across cross-functional teams in a fast-paced environment., * Master's degree in Data Science, Analytics, Statistics, Computer Science, or a related field. * Experience within the biopharmaceutical, biotechnology, healthcare, manufacturing, or life sciences industries. * Experience with cloud-based data platforms such as Snowflake, Microsoft Azure, AWS, or Google Cloud. * Experience supporting executive leadership with strategic analytics and enterprise reporting. * Knowledge of predictive analytics, optimization techniques, A/B testing, and statistical experimentation. * Experience automating recurring reporting and analytical workflows. * Experience with Git, Jupyter Notebook, Jira, ServiceNow, or Minitab is a plus. ## Description * Analyze current and historical enterprise data to identify strategic trends, operational insights, and opportunities for process improvement, cost optimization, and quality enhancements. * Translate complex analytical findings into actionable recommendations that support business strategy and operational performance. * Perform ad hoc analyses to support executive leadership, strategic initiatives, and operational decision-making. * Validate data accuracy and ensure the integrity of analytical outputs used to measure financial and operational improvements. * Develop statistical models, predictive analytics, forecasting tools, and automated analytical solutions that improve reporting efficiency and business outcomes. * Apply advanced analytical methodologies to identify risks, opportunities, and performance trends across the organization. * Support experimentation and data-driven decision making through statistical analysis and predictive techniques. * Extract, query, and analyze large, complex datasets from multiple enterprise systems using SQL and Python. * Develop scalable analytical processes, reusable code, and automated reporting solutions that reduce manual effort and improve consistency. * Partner with data engineering and data science teams to identify and resolve data quality issues and ensure reliable reporting. * Design, develop, and maintain executive dashboards, KPI reporting, and business intelligence solutions using Power BI, Tableau, Qlik Sense, or similar visualization platforms. * Create compelling presentations and visualizations that communicate complex data in a clear, concise manner for senior leadership. * Monitor key business metrics and provide ongoing insight into operational performance. * Partner with Operations, Quality, Finance, Information Technology, Business Intelligence, and Data Science teams to understand business challenges and translate them into analytical solutions. * Gather business requirements and recommend scalable, data-driven improvements that support enterprise objectives. * Contribute to continuous improvement initiatives through data analysis, process optimization, and operational reporting. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)