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    Sr. Workday Payroll Analyst - San Francisco, United States - Databricks

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    Description

    GAQ225R88

    While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

    As part of the Databricks Payroll team, you will become part of a growing dynamic global organization that is helping our customers solve some of their toughest problems. Being part of the Databricks Global Payroll Organization means that we help our employees focus on what they are passionate about while enjoying a great employee experience.

    The Sr. Workday Payroll Analyst role will be responsible for processing payroll in multiple locations across the country, ensuring accurate and timely payroll. You will work closely with our payroll vendors, internal business partners and end user's, supporting day to day activities, identifying opportunities for improvement, supporting our project roadmap and ensuring SLA's. This position reports to the Sr. Manager, Payroll.

    The impact you will have:

    • Day-to-day employee support utilizing our case management tool
    • End-to-end payroll processing for our America's region
    • Adhere to payroll controls and compliance requirements
    • Identifying opportunities to improve processes to achieve scalability
    • Development/maintenance of process documentation
    • Promote Databricks enterprise cloud data platform powered by Apache SparkTM
    • Ability to coach other team members
    • Strong cross-functional relationships with business partners
    What we look for:
    • 3+ years of US Workday payroll experience (experience with creating and editing basic reports and pay components is a plus)
    • 5 + years of US Payroll processing experience for exempt and nonexempt employees
    • Experience with equity transactions, sourced income, and expat shadow payrolls
    • Experience with payroll tax processes, including resolving notices, registrations, and managing locals
    • Advanced Excel skills, including Pivot Tables, Vlookups, and other formulas
    • Technically well-versed and able to transition to new technologies easily
    • Strong communication, organizational skills, and cultural intelligence; ability to formulate and articulate a perspective and present it in a way to create understanding and alignment
    • Strong analytical skills and the ability to make data-driven decisions
    • Demonstrated initiative and ability to work independently with minimal supervision, as well as the ability to collaborate closely with others to achieve objectives and deadlines
    Benefits
    • Comprehensive health coverage, including medical, dental, and vision
    • 401(k) Plan
    • Equity awards
    • Flexible time off
    • Paid parental leave
    • Family Planning
    • Gym reimbursement
    • Annual personal development fund
    • Employee Assistance Program (EAP)
    Pay Range Transparency

    Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

    Zone 1 Pay Range

    $89,400-$158,200 USD

    About Databricks

    Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

    Our Commitment to Diversity and Inclusion

    At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

    Compliance

    If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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