Data Analytics Senior Associate developing data models and dashboards for FP&A function. Collaborating across teams to enable data-driven decisions and insights.
Responsibilities
Develop and maintain data models, reports, and dashboards for FP&A function and firm overall with a focus on reporting forecasting data, budgeting and planning data, and trends, and providing insights for leaders.
Own end-to-end forecasting, budgeting, and planning reporting to support FP&A function.
Translate business needs into analytics/reporting requirements to support FP&A decisions and workflows.
Support overall firm initiatives from an FP&A perspective.
Proactively analyze and mine data lakehouse to identify additional insights, data quality concerns, and opportunities for additional data modeling.
Support users with ad hoc training, troubleshooting, etc. related to FP&A data and reporting.
Requirements
Bachelor’s degree or equivalent experience required; emphasis in data analytics, data science, computer science, management information systems, finance, statistics or related field.
3-5 years of experience performing data analytics in a financial setting (financial statement analysis or development, forecast analysis, trending analytics, understands key finance metrics, chart of accounts, etc.) with strong focus in Financial Planning and Analysis
Experience and strong understanding of forecasting, budgeting, variance analysis, and financial modeling.
Hands on practical experience and proficiency utilizing Microsoft Power BI, Azure Databricks, Databricks SQL and SQL Server.
Experience with consumer-level and industry-level data .
Ability to synthesize complex data into clear, actionable insights for senior leadership consumption.
Experience utilizing cloud-based technologies (preferably Azure) and data lakehouse architecture .
Experience with professional service industry or CPA and advisory firms preferred .
Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders and be able to translate business questions and analysis into simple briefings for use by various parties.
Ability to work independently in a fast-paced, growth-oriented environment without sacrificing quality.
Benefits
Comprehensive compensation and benefits package to eligible employees
Data Analyst II at Honeywell ensuring data quality and governance for Customer and Product Master data. Managing data processes and supporting business decisions in a hybrid work environment.
Manager of Data Analytics at MTN focusing on building and evolving Fintech services and product capabilities data - driven decisions. Responsibilities include automating pipelines, structuring data, and providing insights.
Data Analyst Intern assisting with data requests using Power BI and Azure DevOps. Communicating with product managers and supporting field personnel for effective data management.
Creating and maintaining reports for enrollment management and compliance at Lackawanna College. Collaborating across departments to ensure data integrity and visual representation of insights.
Senior Analyst in charge of data and analytics for finance and accounting at HID. Driving automation, process optimization, and analytical insights for better business decisions.
Senior Business Analyst leading complex projects at Huntington, optimizing business processes and providing technical support to business units. Collaborating with stakeholders for enhanced operations and compliance.
Junior Data Analyst at Shop Mercantil focused on performance analysis of e - commerce products. Responsibilities include structuring dashboards and generating strategic insights from data analysis.
Analytics & Reporting professional maintaining and implementing reporting solutions at Warner Bros. Discovery. Focused on piracy data analysis with Tableau, Python and SQL in a hybrid work environment.
Senior Business Analytics Analyst creating complex analytics solutions for data - driven decision making at Logix Federal Credit Union. Working closely with stakeholders to advise on data utilization for business objectives.