Best suited to candidates with deep experience in sales compensation systems and a strong background in data analysis working in B2B SaaS environments.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Hootsuite via Greenhouse
We’re looking for a Senior Revenue Incentive Compensation Systems Analyst to help us build and maintain, and process commissions within our Compensation System. You’ll develop the requirements needed to implement and calculate and process commission plans, bonus plans and SPIF programs within the sales compensation software, and SPIF programs by translating business requirements into technical solutions. You will own the end to end commission processing cycle, including plan configuration support, data validation, payout accuracy each cycle. Understanding integrations and data flow will be key to this role. You will report to the Director Revenue Incentives. This role is open to remote-applicants within the state of Maharashtra, India.
WHAT YOU’LL DO:
Manage day-to-day administration and provide the operational support of the Compensation System, and ensure the viability of its integration with Salesforce.com.
Translate business requirements into technical requirements in order to design and build commission and bonus plans, and SPIFs within the Compensation System.
Own the commission processing cycle end to end, including calculation validation, exception handling, and payout accuracy, ensuring plan participants are paid correctly and on time each cycle.
Audit and document processes and technical designs, and identify areas for continuous improvement of the Compensation System.
Develop and test Connect processes and monitor data flows to and from Compensation System to ensure data integrity/accuracy. Identify opportunities for further data automation and efficiency.
Develop technical solutions to requirements/issues; validate and communicate solutions to internal and external team members, test solutions and ensure it meets specifications.
Perform other related duties as assigned
WHAT YOU’LL NEED:
5-8 years of experience in Sales commission processing, Data Analysis, Database administration, or implementation and administration of customizable incentive compensation management systems.
B2B SaaS experience is preferred.
Finance, consulting and sales compensation experience also considered.
Strongly prefer a comprehension of end to end Sales Compensation processes and systems.
Knowledge of Compensation Systems integration with external applications such as Salesforce and HR system (Workday).
Experience with SQL and developing integrated solutions between systems is preferred.
Advanced understanding of formulas (excel or sheets)
Deep understanding of software testing with knowledge on building test plans and completing them in unit, functional and user acceptance test cycles.
Experience developing and maintaining calculations for large data sets using spreadsheets or database models.
Strong problem solving, critical thinking, and analytical skills to set up and interpret logic, data tables, and rule relationships.
Open Communication: clearly conveys thoughts, both written and verbally, listening attentively and asking questions for clarification and understanding
Problem Solving: uses an organized and logical approach to find solutions to complex problems. Looks beyond the obvious to understand the root cause of problems
Process/Project Management: skilled at figuring out and managing the processes and timelines necessary to get work accomplished
Creativity and Innovation: seeks new and better ways of doing things, generates original and imaginative ideas, products, or solutions
WHO YOU ARE:
Solution seeker: You’re focused on tackling new challenges, solving problems, and moving the business forward—and you don’t wait to be asked.
Lifelong learner: You have a growth mindset – you’re here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn’t.
Resilient adapter: In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity.
Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information.
Critical challenger: You have the trust in your team to ask difficult questions in order to get to the best end result.
Active communicator: You listen actively and communicate ideas and information clearly, inclusively, and proactively.
Integrated thinker: You look beyond your role and responsibilities to understand how your team’s work drives broader organizational goals.
Accountable owner: You take pride in the work you’re responsible for with a mindset of ultimate accountability and reliability for the outcomes.
Bar-raiser: You step up to help your team grow and succeed, even when that means going beyond what might be expected.
In all we do, our six guiding principles light the way:
Step Up: Show the world what it looks like to live and work by these guiding principles. #StepUp
One Team: Make Hootsuite a place where everyone feels safe, welcome, valued, and empowered to do their best work without compromising who they are. #OneTeam #FreeToBeMe
Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed
Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile
Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses
Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies
Accommodations will be provided as requested by candidates taking part in all aspects of the selection process.
#LI-Remote
Use of AI in Hiring
Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All final hiring decisions are made by human decision-makers who use their professional judgement to review and evaluate relevant candidate information in addition to AI outputs. For more information about how we use AI and your rights, please see our Careers Privacy Policy.
Source: Hootsuite careers (Greenhouse)