Position: Business Operations & Analytics Manager
Company: IVIA
Category: Business Analyst
Experience required: 1y
English level: upper

Job Description:

The Business Operations & Analytics Manager is responsible for providing critical information, insights, and analyses regarding all facets of the business to a wide variety of stakeholders in a timely and reliable basis. This includes management and maintenance of existing BI tools and interfaces intended to monitor the health of the business as well as in-depth analysis of opportunities to optimize the business through commercial, operational, sourcing and M&A levers. This position interacts with a variety of teams to understand strategies and provide information in support of business decisions. The insights provided by the Business Operations & Analytics Manager will be used to make informed prioritization, data-driven decisions that are expected to have significant impact on business results including services levels and profitability. Further, the Business Operations & Analytics Manager will be tasked with exploring, developing and introducing more sophisticated analytical methods and tools to the Company’s analytics portfolio.

Position Responsibilities and Duties:

· Design and develop high-performance data visualizations, reports and dashboards primarily utilizing Power BI (and other analytics-focused tools), including the structuring of complex problems

· Develop and deliver situation-specific analysis and presentations to support key business decisions, process improvements, and efficiency improvement opportunities

· Design and deploy self-service reporting models primarily using Power BI, and other similar analytics-focused tools

· Use advanced statistical methods to analyze data and generate useful business insights, including algorithms such as clustering, time series, and classification

· Manage and fulfill ad hoc information requests submitted to the BI team

· Assist in data management, cleaning, modeling, integration, reporting and visualization projects within the Business Analytics team, as well as discussions with vendors, customers, and business partners

· Contribute to designing and building our production data warehouse

· Interface with employees at all levels of the company to understand business needs and contact with C-suite executives

Required Qualifications:

· 5+ years of experience with data analytics and report development, queries, and modeling, preferably in a supply chain, logistics, transportation and/or 3PL setting

· Proficiency in Microsoft Power BI reports development and maintenance, and model building

· Proficiency in MS Excel, Power Point, and Office suite

· Ability to communicate effectively with technical and non-technical individuals

· High attention to detail and proven ability to manage multiple, competing priorities simultaneously

· Strong sense of ownership, urgency and drive

· Analytical mindset and passion for gleaning actionable insights from raw data

· Ability to recognize abnormalities in trends, boundary problems and thresholds

· Ability to identify and resolve problems in a timely manner

· Strong team-oriented mindset and the ability to foster that environment, as well as to share responsibilities with peers

· Bachelor’s degree in STEM field or equivalent work experience that evidences analytical thinking and problem solving

Preferred Qualifications:

· Demonstrated ability to anticipate and manage change in a highly dynamic environment

· Demonstrated ability to work with executive-level stakeholders

· 3+ years of experience at a logistics environment and demonstrated knowledge of the industry’s dynamics

· Proficiency in data analytics, including — but not limited to — SQL, R , and Python scripts, and Microsoft Suite tools

· Proven track record of managing and executing projects from start to finish, including project management, data gathering and modeling, problem solving and communicating recommendations to internal or external clients

· Masters degree or equivalent in STEM field with demonstrated drive towards data-heavy fields