Director of Data Analytics
New York, New York, United States
United Staff Source
United Staff Source scales your hiring department immediately, drastically reducing hiring time. Find, recruit and hire in days.Director, Analytics
Location: On Site in Pittsburgh, PA
Minimum Salary: 140k
Maximum Salary: Negotiable
Purpose:
The Director of Analytics will be responsible for leading the data analytics department, aligning its efforts with the organizations overall mission and objectives. This role involves overseeing data analytics and business intelligence, driving strategic initiatives, and leveraging data to enhance operational performance. Reporting to the VP of Technology and Innovation, this role is critical in ensuring that data and insights serve as valuable assets in guiding the organizations decisions.
Responsibilities:
- Serve as a subject matter expert in recommending analytical methods and approaches for key organizational issues
- Lead the analytics team in developing and implementing effective data systems
- Foster a data-driven culture across departments, promoting informed decision-making and supporting marketing and investment planning
- Communicate analytics insights and narratives across the organization to build a data-centric profile
- Support senior leaders in strategic, data-informed decisions for product development, customer engagement, and other key areas
- Define and oversee business KPIs alongside senior analytics leadership
- Collaborate with departmental heads and executives to ensure high-quality project outcomes
- Guide data-driven decision-making at the departmental level
- Drive initiatives to meet or exceed performance metrics, supporting the organizations growth
- Evaluate commercial value and risks of opportunities, providing analytics to support growth
- Stay updated on industry trends and best practices in data warehousing and analytics
- Mentor analytics staff, fostering professional growth and readiness for leadership succession
Required Qualifications:
- Bachelors degree in Data Science, Computer Science, Information Technology, Economics, Statistics, Information Systems, Applied Mathematics, Business Administration, or a related field (Masters degree preferred)
- 10+ years of experience in data analytics or data warehousing, with 5+ years in management at the director level or higher
- Proven experience in team building and cross-functional collaboration within analytics projects
- Proficiency in business intelligence tools and platforms, including:
- Business Intelligence: Qlik, Tableau, Power BI, Cognos, Crystal Reports, SQL Server, SSAS, SSRS
- Data Aggregation: SQL, Pig, Hive
- Familiarity with minor technical toolsets for data analysis, including:
- Data Analysis: Apache Spark, R, Python, SQL, Qlik, Excel
- Experience with data visualization tools such as Salesforce, SQL Server Reporting Services, Tableau, and Analysis Services
- Strong skills in SQL and familiarity with data technologies like Hadoop and Teradata
- Expertise in A/B testing and KPI identification
- Strong analytical and problem-solving abilities, with excellent verbal and written communication skills
- Effective leadership and multitasking abilities, along with an ability to adapt to changing priorities
Must reside or be willing to relocate/commute to Pittsburg, PA
Work Environment:
This role operates in both a professional office setting and remotely, with expectations for maintaining productivity and professionalism. Employees should have a reliable internet connection and a home office setup that ensures privacy and separation from personal space. The organization may adjust on-site and remote work requirements based on priorities.
Physical Demands:
Regular requirements include talking, hearing, standing, walking, handling materials, and reaching. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Business Intelligence Computer Science Data analysis Data Analytics Data visualization Data Warehousing Economics Excel Hadoop KPIs Mathematics Power BI Privacy Python Qlik R Salesforce Spark SQL Statistics Tableau Teradata Testing
Perks/benefits: Career development
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