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Role Description

We’re looking at you—high-achievers, challenge-seekers, and innovation-chasers. Professionals who never shy away from complex problems. We hire the top 1% and let your talents soar. Are you an intellectually curious, deal oriented professional who enjoys coming up with innovative solutions to complex business issues? Connor Group is seeking professionals who want to build off their existing accounting, operational, and industry experience. We execute finance projects and digital solutions projects that add value to our clients within their finance, accounting, and operations, and technology departments.

• Hands on design, development, deployment, and maintenance of data analytics, advanced analytics, data science and AI solutions.
• Lead end-to-end delivery of data science & advanced analytics engagements.
• Translate complex business problems into analytics and machine learning solutions.
• Perform diagnostic analytics / causal / driver analysis for complex business problems.
• Develop predictive, prescriptive, and optimization models for enterprise use cases.
• Conduct exploratory data analysis activities (e.g., basic statistical analysis, hypothesis testing, statistical inferences).
• Create machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction.
• Design and implement AI-enabled analytics solutions, including forecasting, customer and revenue analytics, risk and anomaly detection, in-process intelligence and optimization.
• Select appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
• Perform model assessment & optimization. Apply best practice techniques for model testing and tuning.
• Write queries (BigQuery, SQL …) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks.
• Build reusable analytics accelerators, frameworks, and industry solutions.
• Develop solutions around AI-driven BI, Agentic AI applications, AI-assisted data management, GenAI / LLM based innovative solutions.
• Create Proof-of-Concepts, Prototypes for innovative solutions.
• Work closely with client stakeholders including CFO, FP&A, operations, and IT leadership.
• Mentor and lead teams of data analysts, data engineers, and data scientists.
• Facilitate workshops on data strategy, analytics roadmap, and AI adoption.
• Serve as a trusted advisor to clients on data-driven decision making.
• Support sales and business development activities including proposals and solution architecture.
• Present insights and recommendations to senior executives and business leaders.
• Ability to manage multiple projects / clients at the same time and work in an agile fashion.
• Performing change management support for stakeholders.

Qualifications

• 10+ years of experience in data analytics, data science, advanced analytics, or machine learning.
• 8+ years of experience delivering analytics solutions in a consulting or advisory environment.
• Strong expertise in diagnostic analytics, statistical modeling, machine learning, predictive analytics, and optimization techniques.
• Highly efficient in Python or R and comfortable with SQL.
• Hands-on experience with tools such as Python (pandas, scikit-learn, PyTorch, TensorFlow), SQL, Data science platforms (Databricks, Snowflake, AWS, Azure, GCP).
• Experience building production-grade ML pipelines and MLOps workflows.
• Must thrive when presenting complex analyses to non-technical stakeholders.
• Experience applying statistics, experimental design, and causal inference through professional experience.
• Experience developing end-to-end machine learning solutions through professional experience.
• Ability to translate business problems into quantitative models and analytics solutions.
• Strong executive communication and presentation skills.
• Proven experience in enterprise analytics transformation or AI adoption programs.
• Experience in Generative AI and LLM-based applications.
• Experience with Retrieval Augmented Generation (RAG), AI copilots for analytics, and Agentic AI workflows.
• Familiarity with modern data architectures (data lakehouse, data mesh and medallion architecture).
• Experience in financial analytics, FP&A, or operational analytics is a plus.
• Experience in CRM, ERP, FP&A related technologies, systems and platforms is a plus.
• Advanced degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or other quantitative fields.

Benefits

• Resources and opportunities to help achieve professional goals.
• Health insurance packages and wellness programs.
• One-on-one coaching program and career development opportunities.
• Empowerment through investment in growth, health, and happiness.

Company Description

Connor Group is committed to celebrating the value of diversity in a globally connected business world. Our team culture is collaborative and encourages team members to take initiative. Our professionals are committed to excellence, growth, and integrity. By focusing on innovation, we continue to raise the bar on excellence and deliver greater value to our clients.