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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Marketing Associates, LLC - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, BigQuery, Data Visualization, Microsoft Office, Power BI, Standard Sql, SQL Databases, Data Processing, Information Technology, Performance Monitor, Qlikview, Alteryx - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05ac56d816e3a90a ## About the Role * BA / BS or advanced degree in Statistics, Mathematics, Data Science, Econometrics or Computer Science, Analytics, Finance, etc. * 5-7 years of experience as an analyst * Inventive and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed * Highly self-motivated, with the ability to work independently and collaborate * Strong oral and written communication skills (English) -Strategic and clear thinking to translate discreet and sophisticated ideas to get results * Attention to detail with a strong aim to implement common standards * Excellent Data Wrangling skills - Ability to query, join, manipulate data (e.g., create new variables as needed), automate processes. * Experience analyzing business and marketing program performance (e.g., response, sales, incremental sales, net profit, customer profiling) * Strong knowledge of SQL, Big Query, Alteryx, Power BI, Qlik (dashboarding), GCP, applying AI tools and technology into business processes, and Microsoft Office preferred. Future-Ready Skills (Nice to Have): * Subject Matter Expertise in sales, business, and financial reporting * Subject Matter Expertise in Customer Analytics, Customer Experience Analytics, Program Analytics * Ability to develop and support Business/Sales/Program Performance Metrics and Reporting (BPR) * Familiarity with automotive services, vehicles sales, parts business, subscription services, loyalty program data, etc. (not required) * Experience meeting with clients directly to understand business needs and discuss findings. * Ability to organize findings for business consumption create PowerPoints containing graphs and insights ## Description The Senior Data Analyst is responsible for developing and delivering high-quality analytical insights that support business decision-making. This includes a wide range of deliverables such as sales and performance reporting, campaign and marketing analytics, dealer and customer insights, and the creation of dashboards and data visualizations to enable clear and effective consumption of data. The Impact You'll Have: In this role, you will conduct both strategic and ad hoc analyses to support overall business strategy, inform day-to-day decisions, and provide deeper insight into customer behavior, marketing effectiveness, and business performance trends, both historical and forward-looking. You will partner closely with business stakeholders to identify analytical needs, understand key challenges, and translate business questions into actionable insights while collaborating with data and analytics teams to deliver impactful results. What you'll do: * Develop and deliver sales, marketing, and business performance reporting, including dashboards and data visualizations to support decision making * Analyze campaign performance, customer behavior, and business trends to generate actionable insights and recommendations * Perform both strategic and ad hoc analyses to support business strategy, day to day operations, and future forecasting * Partner with business stakeholders to understand key challenges, define analytical needs, and translate business questions into data driven solutions * Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ensure accurate and efficient data processing * Build and maintain performance metrics and reporting frameworks for sales, customer, and program analytics * Present findings and insights through clear visualizations, reports, and presentations to both technical and non-technical audiences while collaborating with multi-functional teams ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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