Senior Data Analyst

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Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

Summary:
The Senior Finance Data Analyst in the finance function interprets and analyzes complex datasets to provide insights and support data-driven decision-making within the organization. This role works closely with finance stakeholders, the business, engineers, and modelers to gather and transform financial data, conduct statistical analyses, and create visualizations and reports that contribute to identifying trends, patterns, and opportunities that drive business initiatives, improve efficiency, and enhance productivity. The role will work with cross-functional partners to share knowledge, establish analytics standards and best practices, and accelerate capabilities across Enterprise Finance.

What you will do:

• Engages with finance and key business stakeholders to understand business needs and gather analytics requirements.
• Translates business needs into data requirements for engineers to ensure accurate and relevant data collection.
• Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
• Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
• Lead initiatives and continuously seek opportunities to enhance finance data analytics capabilities. Contribute to the development of data strategies and roadmaps to support finance business initiatives
• Oversee the data gathering and cleaning processes from various sources, ensuring data integrity and quality
• Develops and maintains intuitive, leading class analytic dashboards, reports, and visualizations to effectively communicate financial data business insights.       
• Maintains and updates existing analytic dashboards and reports. Troubleshoots and resolves issues or errors in the analytic dashboards. Monitors data quality to identify data issues and propose data cleansing or enhancement solutions

• Promotes the adoption of analytics within the finance team by educating stakeholders on the benefits of using data-driven insights.
• Provides training to finance team members on how to effectively utilize the analytics tools and dashboards.
• Identifies KPIs and develops metrics to track and measure business performance
• Collaborates with data engineers, IT, & Enterprise Architecture teams to optimize data collection, storage, and retrieval processes
• Collaborates with Enterprise Architecture teams in establishing standards and best practices for data analysis, visualization, and reporting within the finance function.
• Stays updated with industry trends and best practices in data analysis, visualization, and reporting

What you will bring:

Education

• A bachelor’s degree in data science, statistics, mathematics, information science, finance, or related field

Experience

• At least 5 - 7 years of experience as a data analyst, data scientist, BI analyst, preferably in the finance domain
• Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
• Proven project experience with data analysis and visualization tools such as Tableau, Power BI, Looker and Excel
• Proven project experience with data cleansing and transformation tools such as Dataiku, Alteryx, etc.

Skills

• Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
• Strong finance knowledge and business acumen to understand and interpret financial data in the context of business operations.
• Knowledge of data visualization best practices to effectively communicate insight
• Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
• Familiarity with data modeling, machine learning models and data warehousing concepts
• Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
• Ability to collaborate within and across teams of different technical and business knowledge to support delivery and educate end users on analytics products
• Excellent communication skills to convey complex data findings to both technical, finance and business executives
• Attention to detail and ability to maintain data accuracy and integrity

Annual Base Salary Range or Hourly Base Pay Range:

$75,700.00 - $135,834.99

Compensation Type:

Salary

Incentive Eligible:

No

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience,  travel requirements, and union designation.   Our compensation range is generally based on the national average for the country.  Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.