Summary
Join Enable, a rapidly growing company in the rebate management software industry, as a Senior Data Analyst. You will lead data cleanup, orchestration, and management across various systems. This role requires strong data analysis skills, problem-solving abilities, and experience managing complex data ecosystems. You will collaborate with sales operations and go-to-market teams to ensure data integrity and provide actionable insights. The ideal candidate will have a Bachelor's degree in a quantitative field and 4+ years of relevant experience. Enable offers a competitive salary and benefits package, including unlimited paid time off, wellness benefits, comprehensive insurance, a bonus plan, and equity.
Requirements
- Proficiency in data analysis tools and software, such as SQL, SAS, Python, or R
- Experience with data visualization tools, such as Tableau or Power BI
- Strong analytical and problem-solving skills
- Experience with data modeling to support organizational decision making and annual sales planning cycle
- Excellent attention to detail and a commitment to data integrity
- Ability to work collaboratively in a team environment
- Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders
- Understanding of data warehousing and ETL (Extract, Transform, Load) processes
- Proficiency in Salesforce.com (certification a plus, but not a requirement); creating/updating reports and dashboards and third-party tools
- Experience integrating data across multiple platforms
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science (preferred)
- 4+ years of experience with hands-on data analysis, preferably in a SaaS or technology-driven environment
- 4+ years of experience enabling data-driven decision-making within Revenue Operations with a Sales focus, going beyond report generation to deliver actionable insights
- 2+ years of sales/revenue operations experience in SaaS/Software Enterprise
- Proven track record of delivering actionable business insights through data analysis
Responsibilities
- Work with Sales Operations to identify and rectify data inconsistencies, duplicates, and errors across multiple platforms to ensure data integrity
- Develop and implement data quality metrics and monitoring processes
- Perform data cleaning and preprocessing to ensure data accuracy and consistency
- Collaborate with go-to-market teams to understand data requirements and provide actionable insights
- Design and maintain data systems and databases; this includes fixing coding errors and other data-related problems
- Utilize statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
- Prepare and manage reports that effectively communicate trends, patterns, and predictions using relevant data
- Work with management to prioritize business and information needs
- Assist in the development of data management policies and procedures
- Develop, maintain & automate reporting processes to track product performance metrics and KPIs
Preferred Qualifications
- 6+ years of experience with hands-on data analysis, preferably in a SaaS or technology-driven environment
- 2+ years of experience working in highly cross-functional teams, preferably in a high-growth SaaS environment
- Salesforce Certification
Benefits
- Unlimited Paid Time Off: Flexible PTO policy based on trust, balancing personal time and business needs
- Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being
- Comprehensive Insurance: Health and life coverage for you and your family
- Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance
- Equity Program: Benefit from our equity program with additional options tied to tenure and performance
- Career Growth: Explore new opportunities with our internal mobility program
- Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights
Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.