Financial Planning and Analytics Data and Analytics - Assistant Director
$104,000 to $194,500
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Posted yesterday
SENIORITY
Manager
SALARY
$104,000 to $194,500
About the role
- Partner with Finance and business stakeholders to understand business challenges, identify opportunities and develop data-driven solutions.
- Design and deliver analytics solutions that provide actionable insights and measurable business value.
- Serve as a subject matter expert for assigned products, platforms or capabilities, providing guidance to both business and technical teams.
- Lead stakeholder discussions to evaluate requirements, define priorities and align solution delivery with business objectives.
- Oversee the design and implementation of data pipelines supporting the extraction, transformation and integration of data from multiple sources.
- Collaborate with data architects and engineering teams to develop scalable and sustainable data architectures.
- Optimize data platforms and storage solutions to improve performance, reliability and cost efficiency.
- Present recommendations, roadmap updates and strategic insights to business leaders and stakeholders.
- Coordinate with offshore development resources, supporting delivery, knowledge sharing and continuous improvement initiatives.
- Promote the adoption of analytics, AI and modern data practices across the organization.
- Evaluate emerging technologies and recommend enhancements to improve data and analytics capabilities.
- Skills and attributes for success
- Strong ability to bridge business needs and technical solutions.
- Deep understanding of financial and operational data, analytics and reporting concepts.
- Strong stakeholder-management and communication skills.
- Ability to manage complex initiatives involving multiple teams, priorities and dependencies.
- Strong analytical and problem-solving capabilities.
- Ability to translate business requirements into scalable data and analytics solutions.
- Experience leading cross-functional teams and influencing decision-making.
- Ability to identify innovation opportunities and promote continuous improvement.
- Strong presentation and executive communication skills.
- Curiosity and passion for emerging technologies, analytics and AI.To qualify for the role, you must have
- A bachelor's degree in Business, Finance, Information Systems, Computer Science, Data Science or a related field or relevant experience.5-7+ years of experience in data engineering, analytics, business intelligence or related disciplines.
- Experience partnering with business stakeholders to define requirements and deliver analytics solutions.
- Experience leading or supporting enterprise data, analytics and reporting initiatives.
- Strong proficiency in data modeling, ETL processes and SQL.Hands-on experience developing or delivering enterprise data and analytics solutions using Azure Databricks and/or Microsoft Fabric.
- Strong knowledge of data ingestion, transformation, orchestration, integration, modeling, testing, monitoring and production support.
- Experience managing data projects and coordinating delivery across technical and business teams.
- Ability to analyze complex data sets and develop insights that support strategic business decisions.
- Demonstrated leadership experience, including mentoring, coaching or coordinating team members and delivery resources.
- Strong verbal and written communication skills with the ability to communicate effectively with technical and non-technical audiences.
- Ideally, you'll also have
- Experience supporting FP&A, finance transformation or enterprise performance management initiatives.
- Experience building executive dashboards, operational scorecards and performance-management reporting solutions.
- Experience with AI, predictive analytics or machine learning capabilities applied to finance or business decision support.
- Experience with Azure AI Foundry, Microsoft Copilot, Fabric Data Agents or related AI-enabled analytics technologies.
- Experience designing or supporting intelligent agents, conversational analytics or natural-language reporting capabilities.
- Experience working within large, complex enterprise environments.
- Relevant Microsoft Azure, Databricks, Microsoft Fabric or analytics certifications.
- What we look for
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
