Data Visualization Analyst (Emerging Careers)

SAS • Cary, NC

1d • Hybrid

About The Position

The Revenue Operations team is seeking a Data Visualization Analyst (Emerging Careers) who will leverage expertise in customer and revenue data to define and execute strategies that enable Sales and other revenue-generating teams to achieve their growth and strategic objectives. This role will focus on designing and delivering innovative analytical solutions, building impactful reports, and developing data-driven insights that guide key business decisions.
The ideal candidate will bring a strong blend of business acumen and technical proficiency, with the ability to develop, explore, analyze, and clearly communicate data insights to a business audience. This role will play a pivotal part in advancing our reporting & Insights capabilities, improving data accessibility, and empowering leadership with actionable intelligence to drive performance and growth.
The Revenue Operations (RevOps) team serves as the analytical and strategic backbone of our organization. Our department (and team) is a collaborative hub where data, analytics, and strategy converge to drive growth. We enable our Sales, Marketing, Customer Success and other key teams and leaders to make confident, data-driven decisions that accelerate revenue performance and operational excellence across the organization.
This is an exciting time to join us as we expand our data & reporting capabilities. Our work directly influences revenue strategy, operational efficiency, and business growth which offers a unique opportunity to make a tangible impact.
If you’re passionate about leveraging data to tell compelling stories, improve performance with key insights, and shape strategic direction, this team offers the platform, collaboration, and visibility to do exactly that.

Requirements

• Bachelor’s degree preferably in Business, Computer Science, Information Systems, Marketing, or a related field with up to 2 years of relevant experience.
• Experience in an Associate/Analyst, data, or consulting role supporting business, or Revenue and/or sales operations.
• Understanding data warehousing concepts, ETL processes, and reporting tools, with proven ability to translate data into actionable insights.
• Python or other coding languages
• Proficiency in Microsoft Office and exposure to Power Apps or similar tools preferred.
• Excellent analytical thinking, problem-solving, and communication skills.
• Demonstrates curiosity, reliability, and collaboration, with a strong interest in data, analytics, and continuous improvement and automation.
• Equivalent combination of related education, training and experience may be considered in place of the above qualifications.

Nice To Haves

• Hands-on experience with SAS technologies, including SAS 9 and SAS Viya usage and administration; familiarity with Linux environments and coding in python is a plus.
• Knowledge of industry standards, best practices, and SAS foundation architecture and resources.
• SAS Programming, SAS Data Management, SQL or use of relevant data cleansing tool experience is a plus
• Understanding of fundamental data concepts (table joins, data duplication, Boolean logic, if/then logic) is a plus

Responsibilities

• Source, clean, and prepare structured and unstructured data from multiple systems to support reporting, analytics, and decision making across Revenue Operations.
• Design, develop, and maintain data workflows, ETL processes, and centralized repositories to ensure data accuracy, consistency, and accessibility.
• Build and manage dashboards, reports, and Insights to provide actionable business outcomes.
• Take a proactive, consultative approach to analytics by asking the right questions of the data and recommending strategies aligned to business goals.
• Collaborate cross-functionally with IT, Sales, Marketing, and regional teams to align data definitions, reporting needs, and business objectives.
• Communicate insights effectively to stakeholders and leadership through clear storytelling, visualization, and presentation of data-driven findings.
• Adopt automation, process improvement, and operational efficiency through innovative use of technology and data solutions.
• Support knowledge sharing by documenting processes, mentoring peers, and promoting data governance, quality, and security best practices while aligning with the data team.

Benefits

• Comprehensive medical, prescription, dental and vision plans.
• Medical plan options include: PPO with low annual deductible and copays.
• HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center).
• Onsite Health Care Center (HQ) that’s free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge!
• An industry-leading 401k plan.
• Tuition Assistance Program and programs and resources to support your development
• Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1.
• Volunteer Time Off, parental leave and unlimited paid sick days.
• Generous childcare benefits for all full-time employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level