WEX Inc. Logo

WEX Inc.

Business Intelligence Analyst 3 / Marketing Analyst, Strategic Partnerships

Posted 2 Days Ago
Remote
14 Locations
83K-110K Annually
Senior level
Remote
14 Locations
83K-110K Annually
Senior level
The Business Intelligence Analyst 3 will provide analytics support, derive insights from data, and collaborate with cross-functional teams to enhance business performance through data-driven recommendations.
The summary above was generated by AI

About the Team/Role

The Business Intelligence Analyst 3 will balance their time between providing wide analytics support to multiple lines of business and providing dedicated support for our largest and most complex strategic partnerships within the North American Fleet line of business.
The Business Intelligence Analyst will dive deep into complex business challenges, utilizing data from internal and external sources to provide clear, actionable insights for decision-makers. This role will involve more than just collecting data; it will require identifying hidden patterns and trends within datasets to understand the underlying factors that influence business performance. The Analyst will use this knowledge, combined with a strong understanding of the market, to construct accurate forecasts, develop insightful recommendations, and contribute to strategic and tactical planning. They will translate complex data into digestible reports and analyses, tailoring their approach to meet specific business needs and utilizing available data elements effectively. Beyond simply presenting data, the Analyst will act as a consultant, providing guidance to users and collaborating with cross-functional teams to solve pressing business problems. They will also possess the technical skills to generate datasets and reports using system reporting tools, ensuring the organization has the information it needs to succeed.
 

The successful candidate will have an insatiable curiosity and desire to understand not only what has transpired, but why. They will enjoy inspiring others by delivering actionable insights and will always think and act in our strategic partners’ best interest. Traveling to present at strategic offsite meetings may be required.
 

How you'll make an impact

  • Utilize enterprise data platforms, Business Intelligence platforms and data visualization tools for data discovery and storytelling. Preferred experience in Snowflake, Tableau and Business Objects.

  • Create and maintain datasets, dashboards and proprietary systems in support of analytical duties.  

  • Development and deployment of dashboards, trend analysis, operational reporting to key stakeholder groups.

  • Develop both custom and ad-hoc reports as necessary to identify, illustrate, and monitor trends and issues within the portfolios for both the US and Canada.  

  • Perform ongoing analysis of data, changes, trends and other relevant patterns.  

  • Analyze industry trends and provide competitive benchmarking. 

  • Conduct self-directed investigations into data irregularities and proactively identify opportunities for service improvement and potential system issues.  

  • Fulfill all prioritized departmental ad hoc report requests from the Sales and Marketing teams.

  • Provide insight and direction to the “Four A’s” of portfolio analysis and reporting: Acquisition, Approval, Activation and Attrition. 

  • Forecast portfolio volume against contractual obligations on a monthly basis in both the US and Canada.

Partner with Service Delivery leadership to identify both broad and individual coaching needs, make recommendations based on data analysis, and develop and maintain a system for tracking and reporting out results to stakeholders on a recurring basis.

  • Collaborate with Management to explore, evaluate and initiate revenue enhancement opportunities employed appropriately across all WEX-funded portfolios

  • Partner cross-functionally to strategically leverage relationships with Sales, Operations, Marketing, Product, IT and Finance.

  • Collaborate closely with Program Management teams in order to analyze and evaluate new program/product enhancements, drive process improvements and maximize implementation success and program growth.

Experience you'll bring

  • BS or MS degree in relevant area (Sales and Marketing, Data Analytics, Data Science, etc.) or commensurate experience

  • Minimum 5 years of experience required 

  • Technical proficiency in SQL/PSQL, enterprise BI tools (Prefer Business Objects) and visualization tools (Prefer Tableau)

  • Understanding of data architecture and data management (Snowflake, Python, ETL monitoring, etc.)

  • Firm grasp of sales, marketing and B2B go-to-market strategies

  • Ability to translate data-driven analyses into actionable insights and recommendations and effectively communicate these findings to the business and our customers.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $83,000.00 - $110,000.00

Top Skills

Business Objects
ETL
Python
Snowflake
Sql/Psql
Tableau

Similar Jobs

6 Hours Ago
Remote
Hybrid
8 Locations
153K-270K Annually
Senior level
153K-270K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
Yesterday
Remote
Hybrid
7 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Staff Machine Learning Engineer on the Risk team, you'll develop ML solutions to mitigate fraud and risk, collaborating cross-functionally across the organization.
Top Skills: AWSGCPKerasMySQLNumpyPandasPythonSklearnSnowflakeTableauTensorFlowXgboost
Yesterday
Remote
Hybrid
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.
Top Skills: AWSGCPKerasMySQLNumpyPandasPythonSklearnSnowflakeTableauTensorFlowXgboost

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account