Connor Group

Financial Planning and Analysis

• Manage and complete assigned project areas, creating high quality deliverables, including providing appropriate direction and supervision to junior team members
• Prepare project plans, including key milestones and deliverables, and track and report on status, progress and risks
• Participate in and facilitate engagement team and client meetings and presentations
• Lead and train junior team members
• Prepare and monitor budgets and client billings
• Develop specialized expertise in multiple areas, solutions, and/or technology tools

Manager – Financial Operations

• Lead multiple engagement teams and/or a variety of project components, including participating in or leading the review of client deliverables
• Develop and articulate project execution methodology and own the delivery of solutions
• Provide high quality client service and project deliverables
• Act as trusted advisor for key client contacts
• Prepare and monitor budgets and client billings
• Participate in business development calls and activities
• Identify opportunities to expand project scope and workstreams at clients
• Coach, mentor and develop team members

Senior Manager – Financial Operations

Marketing

• Support the marketing team with event operations for internal and external events
• Support digital marketing automation strategies, audiences, content, launch, tracking, and analysis
• Support internal and external email content creation (newsletters, event invites, promotional emails)
• Project management and quarterly maintenance of collateral and thought leadership projects
• Support LinkedIn content production, posting, and advertising
• Support production of the Breakthrough Work Podcast
• Other duties as assigned

Marketing Intern

Data Scientist

• 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.
• Conducts exploratory data analysis activities (for example, basic statistical analysis, hypothesis testing, statistical inferences).
• Creates machine learning models for tasks like customer segmentation, sales forecasting, and churn prediction.
• Applies techniques in causal inference and quasi-experimental design (e.g., matching, ITS) to determine the incremental effect of programs and interventions.
• Design and implement AI-enabled analytics solutions, including forecasting, customer and revenue analytics, risk and anomaly detection, in-process intelligence and optimization.
• Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets.
• Performs model assessment & optimization.
• Applies best practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and model ensembles.
• Writes queries (BigQuery, SQL …) and scripts to gather, clean, and pre-process raw structured and unstructured data for data science tasks.
• Write scripts to automate data cleaning and fusion processes.
• Helps manage, maintain, and improve client data sources.
• Works with data engineering to deploy scripts and models as reliable pipelines.
• Solid understanding of data manipulation and database technologies (SQL, NoSQL).
• Strong knowledge of machine learning algorithms and libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
• 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 etc.
• 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.
• Ability to establish and maintain strong working relationships with external and internal IT partners
• 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.

Senior Data Science & Analytics Professional – AI & Automation

Manager

• Manage and lead Connor Group systems & NetSuite related projects, including new implementations, enhancements, integrations, and other special projects
• Ensure projects’ accomplishment of desired scope, timeline and quality and follow Connor Group defined best practices and approaches
• Project manage NetSuite projects across all phases, including scoping, planning, resource scheduling, risk management, stakeholder management and cross functional collaboration
• Demonstrate good functional knowledge of NetSuite and ability to analyze the effectiveness of business operations and identify opportunities for improvement
• Drive process improvement initiatives, by working with the client and Connor Group teams to articulate the problem statement, analyze processes/data, identify solutions and alternatives and coordinate alignment
• Provide on-the-job training, coaching, and mentoring to project team members
• Participate in client business development activities including client meetings, preparation of proposals, statements of work and development of project estimates

Senior Manager – Digital Solutions, NetSuite, Inventory & Manufacturing

Senior Manager – Digital Solutions, NetSuite

Recruitment

• Coordinate and schedule interviews between candidates and hiring teams, ensuring a seamless process.
• Maintain accurate data in applicant tracking systems (ATS) and generate relevant reports.
• Act as a primary or secondary contact for candidates throughout the recruitment process, ensuring clear communication and positive candidate experience.
• Assist in sourcing candidates using platforms such as LinkedIn, job boards, and internal databases.
• Post and monitor job opportunities on various career websites.
• Assist with tracking metrics and performance of the hiring cycle.
• Regularly communicate status and results.
• Collaborate with Recruiting Director, HR, and hiring managers on recruitment operations, keeping processes aligned with organizational goals.
• Respond to inquiries from candidates and the internal CX stakeholders promptly.
• Help with special projects and other administrative duties as assigned.
• Handle confidential and non-routine data.

Talent Acquisition Specialist

• Own and manage assigned tasks and project responsibilities to ensure timely delivery of work, according to plan and budget
• Participate in Client interactions, including interviews, process walkthroughs/documentation, and presentations
• Communicate status, including identifying potential issues and risks, in a timely manner
• Work effectively with other project team members to provide best-in-class client support and deliverables