Job Description

Job Description

Stefanini Group is hiring!

Stefanini is looking for a Data Analytics Specialist Allen Park MI (Onsite)

For quick apply please reach out Navneet Pathak at /

Were seeking a mid-level Launch Data Analyst who combines strong statistical modeling with practical data engineering and AI-assisted analytics. Youll translate historical launch data into robust metrics trend forecasts and risk analyses that inform key launch decisions. The role requires solid Python proficiency the ability to build reproducible analytics and the capacity to communicate complex methods and results to senior leaders. Primary focus should be statistics forecasting and AI Assisted Analytics.

Responsibilities

• Produce short- and medium-term forecasts (demand adoption risk indicators) and quantify forecast uncertainty. Apply causal analysis techniques when needed (e.g. differences-in-differences propensity-score methods) to isolate effects.
• Data collection wrangling and quality Ingest and clean data from Excel SharePoint databases and cloud sources; implement reproducible data processing in Python.
• Validate data quality and document data lineage and assumptions.
• AI-assisted analytics with guardrails Use AI tools to accelerate hypothesis generation literature reviews and exploratory analysis while rigorously validating outputs and maintaining auditability.
• Analytics automation and toolkit Build modular Python codebase to streamline repetitive tasks; modularize code for reuse; version control with Git.
• Provide actionable insights for launch planning risk mitigation and resource allocation.

Experience Required

• The minimum professional experience required for this role1-3 years experience required in data analytics.
• Python and modeling skills requirement/minimum proficiency level
• Candidates should be proficient to write code when needed with little guidance.
• Will consider strong candidates from other industries if they have relevant analytics experiences.
• Statistics & modeling: Solid grounding in experimental design regression (linear/logistic) time-series analysis hypothesis testing and interpretation of results in a business context.
• Python proficiency: Proficient in Python (pandas numpy scipy statsmodels scikit-learn); able to write clean modular reproducible code that are ready to be integrated into application when needed; familiarity with Jupyter notebooks.
• Data & tools: Strong SQL skills; experience with data visualization (Tableau Power BI) and Excel for quick analyses. For BI tools (Power BI / Tableau) dashboard development is a core skill as they will build and manage dashboards.
• AI-supported analysis: Comfortable using AI tools for research and problem-solving with rigorous validation of outputs.
• Communication: Ability to explain complex methods to non-technical stakeholders; strong written and verbal communication; capable of producing executive-level dashboards and slides.
• Methodology with pragmatism: You design and defend robust analyses that drive tangible decisions not just compute numbers.
• Reproducibility and quality: You deliver clean well-documented code and transparent data workflows.
• AI-enabled not AI-dominated: You leverage AI to accelerate insight while maintaining control over validation governance and provenance.
• Business acumen: You understand launch dynamics constraints and risks; you translate analytics into practical recommendations.
• Collaboration: You communicate effectively with cross-functional teams and management.

Experience Preferred

• Automotive experience or domain knowledge in manufacturing or product launches.
• Knowledge of additional languages or libraries (PuLP/OR-Tools) is a plus.
• Familiarity with advanced forecasting or scenario analysis techniques and basic optimization concepts Ideal preference: experience building modular version-controlled codebases.

Education Required

• Bachelors degree in Statistics Mathematics Economics Engineering Computer Science or related field

Education Preferred

• Masters or higher degree preferred for deeper statistical focus and complex problem-solving skills.

**Listed salary ranges may vary based on experience qualifications and local market. Also some positions may include bonuses or other incentives***

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.

About Stefanini Group

The Stefanini Group is a global provider of offshore onshore and near shore outsourcing IT digital consulting systems integration application and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas Europe Africa and Asia and more than four hundred clients across a broad spectrum of markets including financial services manufacturing telecommunications chemical services technology public sector and utilities. Stefanini is a CMM level 5 IT consulting company with a global presence. We are a CMM Level 5 company.

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