Data Analytics Lead, Revenue Management

Ansell•Iselin, NJ

7d•$100,000 - $120,000•Hybrid

About The Position

At Ansell, we stay two steps ahead of workplace risk to deliver innovative safety solutions that enhance people's quality of life. As a global leader in protection solutions, we design and develop a wide range of products including gloves, clothing, and other protective gear to keep workers safe and productive across industrial, medical, and consumer applications. Discover more about our company, our people, and our values by visiting us at Ansell. Ansell is looking for a Data Analytics Lead, Revenue Management to join our team in Metro Park, NJ; Krakow, Poland and Brussels, Belgium! In this position you will play a vital role in shaping and elevating our data infrastructure and analytics capabilities within the Revenue Management team. You’ll design, implement, and manage data-driven solutions that inform commercial strategy, financial planning, and forecasting. We’re looking for a data leader with deep expertise in big data technologies, strong business acumen, and a passion for turning complex information into actionable insights that drive growth. The base salary range for this position is $100,000 to $120,000 U.S. Dollars per year Specific salary for this role may vary within this range based on many factors including geographic location, candidate experience, and skills. Candidate may also be eligible for additional compensation and/or benefits. Specific salary for this role may vary within this range based on many factors including geographic location, candidate experience, and skills. Candidate may also be eligible for additional compensation and/or benefits.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Finance, or a related field.
7+ years of experience in data management roles, with at least 3 years leading big data initiatives in a corporate finance or financial services context.
Proven expertise with big data technologies such as Hadoop, Spark, Kafka, Hive, and distributed file systems.
Deep understanding of financial systems and data types, including GL data, transactional data, risk metrics, and regulatory data.
Proficient in data integration tools (e.g., Talend, Informatica) and programming languages (e.g., Python, SQL, R, Databricks, Scala).
Experience with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions like Snowflake, Redshift, or BigQuery.
Familiarity with finance-specific frameworks and reporting standards (e.g., IFRS, GAAP, SOX).
Strong leadership, stakeholder management, and communication skills.

Nice To Haves

Experience supporting financial planning and analysis (FP&A), Revenue Management, treasury operations, or investment modeling through data.
Understanding of financial risk modeling, Monte Carlo simulations, and time-series analysis.
Exposure to BI tools such as Power BI, Tableau, or Looker for finance dashboards and executive reporting.
Knowledge of machine learning techniques applied to finance use cases (e.g., anomaly detection, credit scoring).

Responsibilities

Drive the planning, development, and optimization of revenue management data platforms that enable key commercial and financial use cases—such as price and volume optimization, sales and distributor incentive alignment, and translating portfolio strategies into value-driven pricing and terms.
Partner with IT and Finance teams to guide data engineers and analysts on revenue management initiatives, ensuring data needs are understood and effective solutions are delivered.
Design and oversee secure, high-performance data pipelines to ingest, store, and process financial and commercial data from multiple internal and external sources (e.g., ERP, market data, transaction systems).
Evaluate and deploy big data technologies (e.g., Hadoop, Spark, Kafka) while establishing and maintaining standards for data governance, compliance, and security (e.g., GDPR, HIPAA). Stay current on emerging technologies and trends in analytics and big data.
Collaborate with Corporate Finance, Commercial Finance, Sales Operations, FP&A, and other teams to translate complex data into insights that drive business decisions.
Maintain strict adherence to regulatory and corporate governance standards, including SOX, Basel III, and GDPR. Oversee data quality, integrity, and security across all systems.
Oversee integration of analytics and reporting platforms with enterprise systems (e.g., D365, PROS), ensuring optimal performance, storage, and processing efficiency.
Partner with Data Science teams to enable predictive models focused on sales, gross profit, and selling costs.

Benefits

Competitive compensation plan, including a performance based annual incentive.
Flexible and hybrid work model.
A culture of belonging and inclusion, collaboration thrives, and everyone feels seen, heard, and empowered—across our global community.
Ansell University, LinkedIn Learning and Mentorship programs to develop professional and interpersonal skills.
Opportunities to advance and grow within the company through LinkedIn Learning and Mentorships.
Health Benefits: medical, dental, vision, short term and long- term disability and wellness programs
401-k plan with company match
Paid time off (vacation, sick and personal days) 14 paid holidays
Continuing Education Reimbursement
Summer Friday’s
Regional Belonging & Inclusion Networks
Green office concept and a global mission of sustainability