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Description
The Senior Data Analyst will have a blend of technical expertise and business acumen. This is a unique opportunity to elevate the data analytics efforts of a large B2B sales and marketing organization. This is an exciting opportunity to apply the power of data analytics to drive business results and go-to-market strategies.
Create analytical models and dashboards that provide actionable insights to sales and marketing functions
Present insights to different functions and levels in the organization, using visualization tools
Integrate data from diverse sources, both internal and external, to create a holistic view of the business landscape
Design and implement scalable data pipelines using AWS services and Python, allowing efficient extraction, transformation, and loading (ETL) of structured and unstructured data.
Ensure seamless integration of Python-based workflows with AWS applications to support analytics and business intelligence initiatives
Implement business intelligence tools and platforms to enhance data analysis capabilities
Implement MVP principles to refine and design solutions
Define market opportunities based on insights mined from multiple data sources
You will report to the Senior Manager of Data Analytics
Qualifications
Bachelor's degree in computer science, data analytics, finance, or related fields
5+ years' experience working with financial institutions
Experience working with GTM or sales functions
In-depth understanding of data architecture, data modeling, ETL processes, and data warehousing
Advanced skills in data visualizations (Tableau preferred)
Experienced in Python, SQL, Cloud Infrastructure - AWS
Experience with Salesforce or similar CRM platforms, Eloqua or similar marketing automation platforms
Experience translating data insights into actionable business recommendations
Experience with business principals, especially related to marketing and sales
Knowledge of financial statements and metrics
Experience collaborating with cross-functional teams and presenting complex ideas to non-technical stakeholders
Experience with end-to-end development of machine learning, predictive analytics, and AI
Additional Information
Benefits/Perks:
Great compensation package and bonus plan
Core benefits including full medical, dental, vision, and matching 401K
Fully remote environment
Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward and recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related experience, and education. You will be also eligible for a variable pay opportunity.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
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