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Join us as we pursue our mission to remove the barriers between data and action, so that everyone thrives in the Data Age. Splunk is filled with people who are passionate about pushing the boundaries of technology in an effort to help our customers succeed. As the world’s first Data-to-Everything Platform, Splunk is creating a world where data provides clarity, elevates discussion and accelerates progress. We invite you to explore what has made us one of the fastest growing technology companies in history, and how you can be an integral part of our journey!

Role

As a Sr. Data Analyst within the Marketing Operations organization, you will own and be part of business analytics projects focusing on building the data foundation to help us scale our reporting services and capabilities. As a data and reporting engineer you will drive transformational data and analytics initiatives for improving the effectiveness and efficiency for Splunk marketing organization. You will be expected to manage end to end delivery of small to medium scale projects in the data & analytics area through partnership with the entire marketing operations org, both at strategic and tactical levels.

Responsibilities

  • Deep understanding of Cloud Data Warehouse methodologies, Data Architecture, Data Modeling, and metadata.
  • Ability to support the creation of single source of truth for Marketing Business Metrics leveraging agreed upon data definitions, create a common data foundation, and semantic layers to be consumed by business.
  • Deliver highly available, reliable, innovative large-scale data warehousing solutions to facilitate data ingestion, build optimized aggregates and building reporting solutions.
  • Deep knowledge and hands-on experience working with Cloud database technologies like Redshift, Snowflake and multiple BI platforms such as Tableau, Splunk and scripting language like Python.
  • Solid grasp of operational processes, systems and data in multiple areas of Sales & Marketing Operations
  • Understanding of SaaS business applications and processes as in Salesforce, SAP, Eloqua, Anaplan, etc.
  • Identify data patterns, attribute hierarchies and data relationships and organize into data dictionaries, create standardized definitions for metrics and critical metrics.
  • Analytical and problem-solving experience, exposure to large-scale systems and some experience writing code.
  • Strong business analysis skills - capturing and documenting requirements, understanding business impacts and tradeoffs, conducting interviews and workshops, proposing solutions, documentation and training, etc.

Requirements

  • 5+ years of experience as a Data Warehouse Analyst and/or Data Analyst.
  • Savviness with complex SQL queries and knowledge of database technologies including window and analytical functions
  • Experience with Python analytic libraries and Business Intelligence tools such as Tableau.
  • An ability to provide technical guidance, direction and problem solving to less technical audiences
  • Confidence to offer consultation to business partners and team members within Sales, Partner, Marketing Operations.
  • A familiarity working with an AGILE/SCRUM process management.

Education

Bachelor’s degree preferably in Computer Science, Information Technology, Management Information Systems, or equivalent years of industry experience.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

 
 
Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.
 
Individuals seeking employment at Splunk are considered without regards 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 (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.
 
Splunk also has policies in place to protect the personal information candidates disclose to us as part of the application process. Please click here to review Splunk’s Career Site Privacy Policy.

Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision.

Splunk is also committed to providing access to all individuals who are seeking information from our website. Any individual using assistive technology (such as a screen reader, Braille reader, etc.) who experiences difficulty accessing information on any part of Splunk’s website should send comments to accessiblecareers@splunk.com. Please include the nature of the accessibility problem and your e-mail or contact address. If the accessibility problem involves a particular page, the message should include the URL of that page.

Splunk doesn't accept unsolicited agency resumes and won't pay fees to any third-party agency or firm that doesn't have a signed agreement with Splunk.

To check on your application click here.
 

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