Director of Data

1 month ago

Pittsburgh, United States A.C.Coy Company Full time

Applicants MUST currently live local to the Greater Pittsburgh Area


No 3rd Parties/Sub Vendors


Location: Hybrid - Robinson Township, PA, 15275


Work Authorization: US Citizen/Green Card.


Overview:

The A.C. Coy Company has an immediate opening for a Director of Data Analytics. Ideal candidates would need to have 10+ years working in a data analytics or data warehousing department with at least 5 years of management experience at the managerial level or above. A bachelor's degree in Data Science, Computer Science, Information Systems, or any related field is required, an MBA would be a plus.


Responsibilities:

  • Acts as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodologies in addressing key issues within the business
  • Leads the data analytics team in development, implementation, and research of appropriate data systems
  • Ensures that analytics deliverables are automated, consistent, and data is of the highest accuracy
  • Promote data-driven decision-making, consumer-driven analytics, investment planning, and marketing across the business
  • Provide clear data and analytics stories and spreading them across the business
  • Supports other business executives and departmental leaders in making strategic, data-driven decisions, in regard to new products, additional use cases, customer segments, investments, among other subjects
  • Leads measurement framework development and work alongside senior data and analytics leadership to define the business KPIs
  • Work closely with the internal departmental heads and executives in an effort to guarantee the delivery of high-quality execution of the diverse array of project deliverables
  • Participates in the formulation of data-driven departmental/business decisions
  • Drives and oversees initiatives to meet and exceed performance expectations, key metrics, and enable overall profitability of the business
  • Assesses the commercial value and risks of growth opportunities as well as provides analytics that will position the business for strategic growth
  • Keeps up with the latest industry trends and best practices that subsequently imparts on the data warehousing and data analytics personnel for constant growth and optimal departmental and business performance
  • Mentors the data analytics personnel, ensuring constant improvement in their professional skills, guiding in the execution of their duties upon request, and essentially readying them for taking up his position in the future
  • Performs other duties as assigned

Education

  • Bachelor's degree in Data Science, Computer Science, Information Systems, or any other related field. MBA a plus.


Experience

  • 10+ years of working experience in a data analytics or data warehousing department
  • 5+ years of management experience in data analytics or datawarehousing
  • Ability to build strong interpersonal relationships with peers and other senior management
  • Successful experience in bringing together diverse functions and building teams that include data analytics and warehousing personnel, guiding them through successful data analytic projects
  • Major Technical Toolsets used: Business Intelligence: Tableau, Power BI, Crystal Reports, SQL server, SSAS, SSRS; and Data Aggregation: SQL, Snowflake,
  • Minor Technical Toolsets used: Data Analysis: R, Python, SQL,and Excel
  • Must be proficient with data visualization tools, such as Tableau, PowerBI
  • Highly skilled in the use of SQL and highly proficient in the workings of data technologies, ex: Hadoop, Teradata
  • Deep understanding of A/B testing
  • Knowledge in key metric identification for driving and maintaining healthy business performance
  • Strong analytical, conceptual and problem-solving abilities
  • Excellent verbal and written communication skills
  • Excellent leadership, team building, and management skills
  • Confident in producing and presenting work
  • Able to multitask, prioritize, and manage time efficiently
  • Ability to manage multiple priorities and assess/adjust quickly to changing priorities

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