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    Data Analyst-Global Operations - Plano, United States - Splunk

    Splunk
    Splunk Plano, United States

    3 weeks ago

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    Description
    Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Role Summary As a Data Analyst for the Global Operations (GO) team, you will be responsible for supporting end-to-end reporting on Splunk's corporate priorities and initiatives, ensuring that the organization stays on top of its annual goals. You will partner closely with teams within GO as well as a varied set of multi-functional partners. We are looking for a problem-solver with deep technical expertise, who uses both quantitative and qualitative methods to get things done. And most importantly, you are an individual who wonders "What if?" And are passionate about seeking out the solution. This role is hybrid and requires the applicant to come into Splunk's Plano office three times a week. Meet the Team The Global Operations team provides business critical insights using analytics, ensures multi-functional alignment of goals and execution, and helps teams drive strategic partnerships and critical initiatives forward. We stay focused on aligning the highest-level company priorities with effective day-to-day operations, and drive core planning activities and develop frameworks to integrate global business strategies across the organizations. What you'll get to do
    • Lead the development and track progress of Objective and Key Results (OKRs) and Splunk's Critical Initiatives throughout the year
    • Design, develop and automate data pipelines and dashboards at scale.
    • Orchestrate expert-level data visualizations and internal presentations that translate analytic insights into tangible, measurable solutions for executive leaders.
    • Manipulate and analyze large and sophisticated data sets to distill insights from data; connect disparate ideas into cohesive, well-grounded recommendations using creative, effective, structured and analytical thinking.
    • Standardize Objectives and Key Results tracking and report across all operations groups.
    • Complete time-sensitive analytic projects by understanding context and developing a prioritized scope and approach for resolution in ambiguous situations.
    Must-have Qualifications
    • Bachelor's Degree with honors in Economics, Stats, Computer Science or related areas
    • 2+ years of relevant professional experience
    • Experience with analytics and visualization tools (Tableau, BI, Excel) with hands-on experience using SQL and Python across different databases like Snowflake, Alteryx, DB2, MS SQL Server
    • Articulate with excellent verbal and written communication skills. Capable of communicating sophisticated information in an easy to understand format. Able to interact comfortably with the multi-functional leadership
    • Ability to think creatively; Builder who is ambitious. The highest standards of accuracy and precision; highly organized
    Nice-to-have Qualifications We've taken special care to separate the must-have qualifications from the nice-to-haves. "Nice-to-have" means just that: Nice. To. Have. So, don't worry if you can't check off every box. We're not hiring a list of bullet points–we're interested in the whole you.
    • Outstanding program management skills with ability to handle multiple projects simultaneously.
    • Experience owning sophisticated projects involving multiple teams
    Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn't just the right thing to do; it's also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

    Note:

    Base Pay Range

    SF Bay Area, Seattle Metro, and New York City Metro Area

    Base Pay Range: $ per hour

    California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

    Base Pay Range: $ per hour

    All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

    Base Pay Range: $ per hour

    Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation, and may be eligible for equity or long-term cash awards.

    Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more Learn more about our comprehensive benefits and wellbeing offering at

    Thank you for your interest in Splunk

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