Director Of Analytics

Position: Director of Analytics

Position Reports to the CBO

Full-Time

The Director of Analytics is responsible for leading and managing the analytics department. Responsible for designing, building, and optimizing systems for data collection, storage, access, and analytics in a format digestible by AI. Work across the enterprise to support current and future company requirements in BI and AI.

Job Responsibilities

• Lead and manage the analytics department, providing guidance, direction, and support in their day-to-day activities.
• Develop and implement a comprehensive analytics strategy to support the organization's business objectives.
• Collect and analyze data from various sources, including internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities.
• Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop dashboards and reports to track and measure performance against these metrics.
• Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
• Stay updated with the latest industry trends and advancements in analytics tools and technologies, and evaluate their potential to improve our data analysis capabilities.
• Drive data governance initiatives by establishing data quality standards, ensuring data accuracy, and implementing data security measures.
• Collaborate with the IT team to ensure data infrastructure, systems, and tools are optimized to support efficient data collection, storage, and analysis.
• Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
• Foster a culture of data-driven decision-making within the organization, promoting the use of Analytics to drive continuous improvement and innovation.
• Set up essential data infrastructure to integrate, transform, and deliver the data in a format digestible by AI.
• Prepare data for prescriptive and predictive data modeling
• Implementing an effective and prioritized way to handle the data and AI tasks backlog.

Minimum Experience

• Minimum of 2 years in a similar position with expertise in cloud infrastructure (Azure, AWS), data processing engines, data visualization (PowerBI), ETL processes.
• Certified and knowledgeable in one of the cloud computing providers (AWS, Azure):
• Azure Fundamentals or Azure Data Fundamentals or AWS Certified Cloud Practitioner
• Knowledge of Power BI
• Knowledgeable in Databricks
• Advanced knowledge in MS Excel
• Advanced knowledge in SQL
• Advanced knowledge in Python
• Experienced in QlikSense development preferred
• Knowledgeable in Spark and PySpark
• Ability to work well with others in a fast-paced, dynamic environment.
• Must be detail-oriented with strong organizational and analytical skills.
• Possesses strong initiative and ability to manage multiple projects as well as strong follow-through skills.

Minimum Educational Requirements

• Bachelor’s Degree
• Required major/field of study: in the area of Business, IT, Analytics or Statistics

Benefits

• Competitive pay.
• Health, Dental, and Vision Insurance enrollment on the 1st of the month after 30 days of employment.
• 401k Retirement plan after 6 months of employment.
• 80 Hours of accrued vacation time, prorated your first year.
• 40 Hours of accrued Sick Time off annually, prorated your first year.
• Paid company holidays
• Company-sponsored Life with AD&D Insurance Policy Coverage.
• Short Term, Long-Term Disability, Life, and AD&D optional Insurance benefits on the 1st of the month after 30 days of employment.