Business Intelligence Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Acxiom’s Financial Services Strategy Team is seeking a highly analytical and curious Business Intelligence Analyst to join our team and help drive client success. The Business Intelligence Analyst will be responsible for performing deep-dive data analyses that uncover business trends and actionable insights to drive growth and optimization for clients across our diverse financial services portfolio.

Working closely with sales and account management teams, the Business Intelligence Analyst will be involved in crafting customer value proposition, maximizing account growth, and enhancing presales strategies through data driven insights that demonstrate measurable impact. Using first party and qualitative data, the Business Intelligence Analyst will mine relevant insights that answer not only the “what” but the “why” and lead to better understanding of our client’s marketing programs and business.

To succeed in this role, the ideal candidate will thrive in a growth-oriented environment and have a passion for bringing data to life with analytical storytelling and narratives. Demonstrating creative solutioning, logical reasoning, and excellent collaborative skills, while bringing a “can do” attitude to the team.

Key Responsibilities:

• Design, implement and socialize data analysis that support marketing and customer engagement strategies
• Integrate research and market data with customer data insights to drive understanding of emerging trends and anticipate changing account needs
• Identify key metrics and develop business intelligence/insights to better the understanding of customer data behaviors, trends and shifts across client accounts
• Support team with quantitative methods on identified business opportunities and generate insights to support pre-sales and account management objectives
• Collaborate with other analysts on advance predictive modeling and machine learning strategies for clients
• Stay informed about, communicate, and apply new or current trends and best practices in analytics

What you will need:

• Undergraduate degree
• 2+years of experience in customer data analytics
• Strong analytical skills and ability to analyze data sets, diagnose opportunities, and convert results into business value statements
• Curious critical thinker who can identify incremental impact, scalability, and repeatability beyond the task at hand
• Effective communicator with colleagues, management, and cross-functional stakeholders
• Experience processing, extracting, and manipulating large data sets including first- and third-party data integration
• Experience with test design, data segmentation, and post campaign analysis
• Experience with direct marketing and/or digital media concepts
• Experience in unstructured, or root cause, analysis to accurately frame business problems as solvable analytics problems
• Experience in taking a consultative approach to problem solving
• Experience working with cross-functional teams in a dynamic environment
• Strong advanced Excel and hands-one experience with data visualization tools like Tableau or Looker
• Experience with statistical software like SQL, SAS, and/or R and Python
• Familiarity with cloud analytics capabilities, architectures, and trends