Data Analytics Manager

REPORTS TO: Senior Director, Data Analytics

RESPONSIBILITIES:

• Data mining and analysis: Collect and extract relevant data from various sources, and analyze large datasets to identify trends, patterns, and insights

• Insight generation: Use statistical and data analysis techniques to derive actionable insights, identify opportunities for improving business processes and performance, and provide data-driven recommendations to support decision-making

• Presentation and communication: Create visually compelling presentations and reports to convey findings to senior leaders and cross-functional teams, translate complex data into clear, concise, and actionable insights, and effectively communicate the results of data analysis to non-technical stakeholders

• Stakeholder Engagement: Collaborate with senior leaders, department heads, and other stakeholders to understand their data needs and act as a trusted advisor and thought partner, offering data-driven solutions and recommendations

• Data Governance: Ensure data accuracy, consistency, and security and establish and enforce best practices for data management and reporting

KEY KNOWLEDGE, SKILLS, AND ABILITIES:

• Excellent data analysis skills to assemble, clean and analyze data effectively

• Expert level proficiency with MS Excel and PowerPoint

• Solid understanding of data visualization and data storytelling techniques

• Knowledge of statistics and modeling techniques

• Attention to detail and a keen eye towards visual presentation of work product

• A positive "can-do" attitude and a high personal accountability for results

• Ability to successfully navigate complexity, ambiguity and pressure to get things done in a fast-paced environment that requires balancing competing priorities

• Excellent verbal and interpersonal skills; demonstrated ability to work with and communicate confidently with all levels of staff and management

• Intellectual curiosity and passion for analytics

QUALIFICATIONS REQUIRED:

• Bachelor's Degree, or equivalent work experience

• 8+ year(s) of relevant experience

• Proven experience in data analytics and data mining

• Proficiency using Python, R, or SQL

• Strong presentation and data visualization skills

• Excellent communication and interpersonal skills

• Ability to work independently and collaboratively in a team

• Strong problem-solving and critical-thinking abilities

PREFERRED QUALIFICATIONS:

• Advanced degree(s), or equivalent work experience

• Internal/External consultancy experience

• Tableau experience

• DataBricks experience

• Knowledge of Retirement processes and technology applications and professional experience in Retirement or supporting Retirement analytics

• Previous experience interfacing with senior leaders

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP's operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP: ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP's culture and our full set of values.