Data Analytics Manager

Fairygodboss; Town of Florida (NY); On-site; USD 71,600 - 145,200; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

Matched Retirement Savings

Wellness Program

Short-and Long-Term Disability

Charitable Contribution Match

Holidays

Paid Volunteer Time Off

Job summary

Fairygodboss is seeking a Senior Data Analyst for the Compliance Solutions Field Enablement team. You will analyze extensive data to help inform business decisions while utilizing tools such as Databricks and Tableau.

The ideal candidate should have at least 4 years of machine learning experience and 6 years in data analytics. The role offers a salary range of $71,600.00 to $145,200.00 per year and benefits including medical, dental, and retirement savings.

Qualifications

• 4+ years designing and implementing machine learning models at scale.
• 6+ years overall experience in data analytics with progressive growth.
• Expert critical thinking skills to interpret complex information.

Responsibilities

• Utilize machine learning to analyze various data for insights.
• Provide data insights using SQL, Tableau, Databricks.
• Create effective reporting and dashboards using Tableau.

Skills

Machine learning

Data analytics

SQL

Tableau

Python

Tools

Databricks

PowerBI

Oracle

Alteryx

Job description

Senior Data Analyst, Compliance Solutions Field Enablement

ADP is hiring an experienced Senior Data Analyst in the Compliance Solutions Field Enablement team. In this position you will be responsible for analyzing ADP’s vast array of data from client experience, call center, finance, and more. You will be expected to utilize your knowledge of Databricks to create in-depth analysis, employ machine learning for greater insight, and provide informative reports via Tableau that help inform our business partners. Your role will be to transform the vast arrays of ADP data and help leaders make informed decisions based on that information. Validation and accuracy are key to success in this position.

Responsibilities

• Utilize machine learning to analyze various data for additional analysis and insight (Databricks).
• Define AI/ML best practices and implementation lifecycle.
• Provide day‑to‑day data insights using standard data tools such as SQL, Tableau, Databricks, and Python.
• Act as an expert and a resource for technologies that exist in your assigned space/domain to support user questions and inquiries.
• Draw strategic and tactical conclusions from analysis to make recommendations and influence future operations.
• Identify trends, make logical correlations, and insights across varying data sets including qualitative surveys/VOC data, financial data, and customer data from various sources.
• Develop strategic recommendations leveraging varying data sources across ADP to drive annual strategic planning, business development, and product roadmap.
• Use statistical analysis and hypothesis testing to validate operational insights against actual data.
• Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau.
• Ensure the data analytics solution meets relevant security, privacy, and compliance standards.
• Develop and maintain dashboards, reports, and data visualizations using Tableau, PowerBI, and other visualization tools.
• Establish and monitor KPIs to measure the effectiveness and impact of reporting initiatives.
• Ensure data accuracy, completeness, and consistency across various data sources.
• Stay up to date with industry trends, best practices, and emerging technologies in data analysis and business intelligence.

Qualifications Required

• 4+ years designing and implementing machine learning models at scale.
• 6+ years overall experience in data analytics with progressive growth and successful deployments.
• Experience with Databricks, Bitbucket, Visual Studio, and Python (Spark).
• Hands‑on experience with standard data analytics tools and databases including SQL, Tableau, Alteryx, Oracle, SQL Server, DB2, etc.
• Expert critical thinking skills required to interpret complex information and present the best way to move forward.
• Technical and business acumen to participate in the analysis, design, testing, and implementation of solutions.
• Communication skills with ability to clearly explain complex issues and drive consensus.
• Ability to work cooperatively as part of a team and independently.
• Working knowledge of SQL to support queries associated with data requests.

Preferences

• Statistics and Analysis: Hypothesis (A/B, Multivariate) testing, T‑tests, Chi‑Squared Test, Linear Regression.
• Programming and Visualization: Proficiency in SQL, Excel, Python for analytics, and Tableau or other data visualization tools.
• Machine Learning: Understanding of Regression, Classification, Clustering, Topic Modeling.
• Proficiency in BI platforms such as Tableau, PowerBI, etc.
• Experience with data warehousing, ETL processes, and database management, ideally within Databricks.

Compensation & Benefits

The compensation for this role is $71,600.00 - $145,200.00 per year.

We offer the following benefits:

• Medical
• Dental
• Vision
• Life Insurance
• Matched Retirement Savings
• Wellness Program
• Short‑and Long‑Term Disability
• Charitable Contribution Match
• Holidays
• Personal Days & Vacation
• Paid Volunteer Time Off
• And more

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP

ADP is committed to an inclusive, diverse and equitable workplace and 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 on ADP’s operating needs and applicant merit.

Ethics at ADP

ADP has a long history of conducting business with the highest ethical standards and full compliance with all applicable laws. We expect our people to uphold our values with the highest integrity and behave in a manner that fosters an honest and respectful workplace.