Enterprise Analytics Manager

MCS Puerto Rico; San Juan (PR); On-site; USD 90,000 - 135,000; Full time

Job summary

MCS Puerto Rico is seeking an experienced Analytics Leader to drive data-driven decision making and oversee a team of analysts and data professionals. You will define analytics strategy, build dashboards and reports, establish KPIs, ensure data quality, and collaborate across finance, operations, and product to deliver insights that improve performance.

The role requires a Bachelor's degree, at least five years in data analytics with leadership experience, and proficiency in Power BI, SQL,

Qualifications

• Requires a Bachelor's degree in Information Systems, Computer Science, Statistics, Data Analytics, Data Science, or related field.
• At least five years of experience in data analytics with complex data structures, including supervision.
• Proficiency in data analysis methods and experience delivering data-driven insights.

Responsibilities

• Develops and executes a comprehensive analytics strategy aligned with organizational goals.
• Leads and mentors a team of analysts and data professionals.
• Conducts in-depth data analysis to identify trends and opportunities for stakeholders.

Skills

Leadership

Data analytics

Communication

Mentoring

Education

Bachelor's degree in Information Systems or related field

Tools

Power BI

SQL

Excel

Access

Python

Job description

GENERAL DESCRIPTION: Responsible for a pivotal role in driving data-driven decision-making within the organization. Accountable for leading a team of analysts and data professionals to extract actionable insights from our data sets, providing strategic guidance to senior leadership, and implementing cutting-edge analytics solutions. Contribute to improving operational efficiency, optimizing business processes, and enhancing the overall competitiveness of our enterprise.

Regular
Exempt

ESSENTIAL FUNCTIONS

• Develops and executes a comprehensive analytics strategy aligned with the organization's goals and objectives.
• Leads, mentors, and manages a team, fostering a culture of collaboration, innovation, and continuous learning.
• Conducts in-depth data analysis to identify trends, anomalies, and opportunities, and communicates findings to stakeholders effectively.
• Designs and oversees the creation of data dashboards, reports, and visualization tools that provide actionable insights to different business units.
• Establishes and enforces data quality policies and best practices to ensure data accuracy, consistency, and security.
• Evaluates and implements advanced analytics tools, machine learning models, and business intelligence platforms to enhance decision-making capabilities.
• Collaborates cross-functionally with various departments to understand their analytical needs and deliver tailored solutions.
• Defines key performance indicators (KPIs) and metrics to measure the impact of analytics initiatives and continually optimize them.
• Supervises, monitors, trains, and evaluates its personnel to comply with his/her role as a supervisor, to assure that his/her personnel fulfill their work plan and comply with their essential functions and that they behave in accordance with the policies, standards, norms, and procedures of the Company.
• Must comply fully and consistently with all company policies and procedures, with local and federal laws as well as with the regulations applicable to our Industry, to maintain appropriate business and employment practices.
• May carry out other duties and responsibilities as assigned, according to the requirements of education and experience contained in this document.

MINIMUM QUALIFICATIONS

Education and Experience: Bachelor's in Information Systems, Computer Science, Statistics, Data Analytics, Data Science, or related discipline. At least five (5) years of previous experience, including at least two (2) years of experience supervising personnel, in data analytics with complex data structures, such as banking, finance, healthcare, or e-commerce (preferred).

Proven experience may be replaced by previously established requirements.

Certifications / Licenses: N/A

Other: Knowledge of data analysis methodology. Proficiency in Power BI, SQL, Excel, and Access. Previous experience using Python is preferred. Proven track record of delivering data-driven insights and solutions that drive business impact.

Languages:
Spanish – Advanced (comprehensive, writing and verbal)
English – Advanced (comprehensive, writing and verbal)

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