EPITEC

Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst focused on Dealer Chat, with a hybrid work schedule based in Warren, MI. Contract length and pay rate are unspecified. Key skills include Power BI, Python, SQL, and statistical analysis; experience with large datasets is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 25, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Warren, MI
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🧠 - Skills detailed
#ML (Machine Learning) #Reinforcement Learning #R #Java #Clustering #NLP (Natural Language Processing) #Anomaly Detection #Data Engineering #Time Series #Python #Visualization #PySpark #AI (Artificial Intelligence) #Microsoft Power BI #Programming #Data Analysis #SQL (Structured Query Language) #Forecasting #Spark (Apache Spark) #Data Pipeline #Databricks #BI (Business Intelligence) #PyTorch #"ETL (Extract #Transform #Load)" #Datasets
Role description
Data Analyst – Dealer Chat Location: Hybrid – Global HQ, Warren, MI Work Schedule: Hybrid (on-site 3 days per week minimum; additional days as required by the business) Reporting To: Dealer Chat Engagement Lead Role Overview As the Data Analyst for Dealer Chat, you will play a key role in shaping and improvings digital dealer engagement experience. You’ll lead analytics and reporting efforts across digital interactions, transforming complex datasets into actionable insights that drive operational performance, dealer satisfaction, enrollment growth, and revenue. This role is ideal for an analytical storyteller—someone passionate about using data to uncover trends, explain performance, and guide business decisions in a fast?evolving digital environment. As reporting needs and tools evolve, you’ll bring flexibility, curiosity, and innovation to your day?to?day responsibilities. Key Responsibilities • Develop, interpret, and distribute daily, weekly, monthly, and quarterly KPI performance reports across all Dealer Chat departments • Analyze customer behavior, operational performance, and dealer feedback to identify trends, risks, and improvement opportunities • Leverage XM Discover to deepen insights and supplement findings with experience management data • Create compelling data visualizations and dashboards in Power BI to communicate insights clearly to stakeholders • Trend historical data to support annual planning, goal?setting, and measurable performance targets • Collaborate in quarterly analytics forums to share challenges, best practices, case studies, and guiding principles • Partner with teams to define and refine KPI definitions, performance thresholds, and goals • Support the forecasting team with scheduling analysis and scheduling audits • Educate and coach internal partners on research methods, analytics interpretation, and data literacy • Foster a metrics?driven culture that uses insights to guide decisions and improve outcomes • Participate in weekly Dealer Chat operations, coordinator, and support team meetings • Prototype and implement AI?driven solutions, including Generative AI and Agentic AI, to solve business problems and streamline processes Required Qualifications • Excellent verbal and written communication skills, with the ability to present insights to both technical and non?technical stakeholders • Strong analytical skills with experience synthesizing data from multiple sources and systems • Ability to thrive in a high?pressure, collaborative environment • Proven ability to multitask, meet tight deadlines, and prioritize strategically • Hands?on experience with Power BI and strong knowledge of data visualization and reporting best practices • Strong background in statistical analysis, including: • Reliability analysis • Analysis of variance (ANOVA) • Time series analysis • Categorical data analysis • Advanced experience with: • Anomaly detection, diagnostics, and prognostics • Root cause analysis • Demonstrated experience working with large?scale datasets and complex analytics problems Technical Skills Programming & Frameworks • Python, R, Java, SQL • PySpark, PyTorch Machine Learning & AI • Large Language Models (LLMs) • Generative AI & Retrieval?Augmented Generation (RAG) • Reinforcement Learning • Natural Language Processing (NLP) • Decision Trees, Clustering Data Engineering • Databricks • SQL-based data pipelines • Data preprocessing & feature engineering Why Join Dealer Chat? You’ll be at the intersection of data, digital experience, and dealer engagement, working on solutions that directly impact dealer relationships and business performance. This role offers exposure to advanced analytics, AI innovation, and cross?functional collaboration—while contributing to a platform that matters to dealers nationwide. #INDOEM