> Markdown version of [/jobs/ext/1205514-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/1205514-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:** Allo Communications - **Location:** Imperial, NE, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Business Analytics Applications, Data Analysis, Data Mining, Data Visualization, Data Warehousing, Python (Programming Language), Cloud Services, SQL Databases, Scripting, Information Technology, Data Analytics, Looker Analytics - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f8cbff9e42e73f9f ## About the Role * Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science or a related quantitative field. Master's degree preferred. * 3+ years of experience in an analytical role, such as a Senior or Lead Data Analyst, Senior or Lead Business Analyst, or Data Scientist with a strong focus on stakeholder engagement and solution delivery. SKILLS / KNOWLEDGE / ABILITIES: * Proven ability to translate complex business problems into analytical requirements and deliver actionable insights. * Strong proficiency in SQL for data extraction, manipulation, and analysis. * Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data visualization and dashboarding in Looker. * Familiarity with AI agents and their role in delivering data analysis to non-technical stakeholders. * Demonstrated experience with statistical analysis and data interpretation. * Excellent communication, presentation, and storytelling skills, with the ability to articulate complex data insights to non-technical audiences. * Strong project management skills, with the ability to manage multiple priorities and deadlines. * Self-starter with a proactive approach to identifying and solving business problems. * Desire to be a team-player whether partnering with other data analysts or working with internal stakeholders. * Preferred qualifications: + Familiarity with GCP cloud data platforms and data warehousing concepts. + Experience with A/B testing design and analysis. + Experience with building and tuning custom AI models for analytics and reporting. + Previous experience in a consulting role (internal or external)., * Remain stationary for extended periods * Ability to communicate information * Ability to operate a computer People are our passion. At ALLO, we don't treat you like a number. You're a human being. ## Description The Senior Data Analyst is a highly analytical and business-savvy individual contributor who acts as an internal expert and strategic partner to various business units. This role focuses on tackling complex business challenges by leveraging data for decision-making and delivering actionable analytical solutions. The Senior Data Analyst works closely with stakeholders to address assigned projects, guiding them through a data-driven process and often leading the technical execution of analytical work by collaborating with data engineers, data scientists, and other data analysts. A key part of this role is not only delivering insights but also proactively identifying and implementing process improvements to enhance efficiency and effectiveness. This is a critical role for driving data literacy and adoption throughout the company., * Business Problem Framing & Solution Definition: + Proactively engage with business stakeholders (e.g., Marketing, Sales, Product, Operations, Finance) to understand their objectives, challenges, and data needs for assigned projects. + Translate vague business questions into clear, measurable analytical problems and hypotheses. + Scope and define analytical projects, outlining objectives, deliverables, timelines, and required resources. + Recommend the most appropriate analytical approaches and methodologies (e.g., descriptive, diagnostic, predictive, prescriptive analytics). * Data Analysis & Insight Generation: + Conduct in-depth data analysis using various tools and techniques to uncover trends, patterns, and insights. + Develop compelling narratives around data findings and present insights in a clear, concise, and actionable manner to diverse audiences. + Utilize advanced analytical techniques (e.g., statistical analysis, A/B testing design, segmentation) to answer critical business questions. * Stakeholder Engagement & Relationship Management: + Build strong, trusted relationships with business leaders and team members across the organization. + Facilitate workshops and discussions to gather requirements and validate analytical outputs. + Champion data-driven decision-making and enhance data literacy within business units. + Manage expectations and communicate progress, challenges, and outcomes effectively. * Tooling & Best Practices: + Stay abreast of industry trends, new analytical tools, and methodologies. + Advise on the selection and effective use of analytics and AI tools (e.g., BI platforms, statistical software, latest models and features). + Contribute to the continuous improvement of analytical processes and best practices within the Data & Analytics department. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [JavaScript? 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