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Sales Engineer - Data Science & Advanced Analytics

Company: Alteryx
Location: Los Angeles
Posted on: June 12, 2021

Job Description:

We're looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you're a high performer who's an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.

Position: Sales Engineer - Data Science & Advanced Analytics

Location: Flexible

Alteryx, Inc. is the leader in self-service data analytics. Alteryx Analytics provides analysts the unique ability to easily prep, blend, and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources, easily join this data together, then perform analytics - predictive, statistical, and spatial - using the same intuitive user interface, without writing any code. Thousands of companies and data analysts worldwide rely on Alteryx daily. Visit www.alteryx.com

The Sales Engineer (SE) will function as part of the Center of Excellence (CoE) team in customer-facing role requiring deep expertise in data science and analytics, and will be accountable for the technical selling of the Alteryx platform, technical enablement, and thought leadership. The SE will aim to improve the customer experience, deliver increased functionality, and simplify the architecture, while ensuring a compliant and secure landscape for Alteryx Customers to drive business value.

Responsibilities include, but are not limited to:

  • Produces thought leadership and forward-thinking content to the organization, i.e. White Papers, Knowledge base articles, blogs, presentations, and ability to speak at events
  • Develops and delivers relevant training around strategic topics to the organization
  • Leverages knowledge of current market place trends and future growth areas to effectively position the Alteryx platform
  • Drive Alteryx platform value, including but not limited to: designing solutions, architectural overviews, establishing an organizational culture of analytics, ensuring quality and consistency across the platform, and defining requirements and leading gap-analysis
  • Strong technical capabilities and the ability to engage in strategic discussions with internal clients throughout the organization and third-party vendors
  • Responsible for collaborating with senior leaders, technology and business subject matter experts and third-party vendors; and to assess feasibility, determine costs versus benefits, prioritize projects and develop and implement systems plans
  • Act as a technical leader for the Alteryx platform and assist with troubleshooting production issues as needed
  • Develop deep knowledge of all Alteryx products and capabilities both technically and on messaging
  • Demonstrate solutions in Alteryx leveraging Machine Learning and Advanced Analytics with engaging storytelling and technical accuracy

Qualifications:

  • 5+ years Business Intelligence, Advanced Analytics, or Enterprise Software experience; prior work in a multi-country environment
  • Bachelor's or advanced degree required; Computer Science or Information Systems preferred
  • Understanding of Data Science and Machine Learning concepts
  • Programming and troubleshooting knowledge in (one or more) Python, R, Java/scala.
  • Knowledge of Microsoft Azure, AWS, and Google Cloud Stack.
  • Experience with ETL tools, database development and management, dimensional and relational modeling, Microsoft SQL Server, Hadoop, SQL Analysis/Reporting/Integration Services; Postgres, Tableau data visualization software.
  • Experience with data warehousing and relational database architecture
  • Knowledge of distributed systems, ETL and ETL workflows
  • Excellent organizational, leadership, decision making, project management, interpersonal and communication skills required
  • Must be able to provide leadership and direction to staff and colleagues while representing the organization internally and externally as a spokesperson on human resources matters
  • Must be customer focused and possess: (1) the ability to identify issues, analyze and interpret data, and develop innovative solutions to a variety of unusually complex problems using a high degree of independent judgment; (2) excellent analytical, verbal and written communication skills to accurately document, report, and present findings to a variety of audiences including executive and senior management, senior external parties and government agencies; (3) excellent interpersonal skills to influence and guide all levels of employees, including senior managers and senior external parties; (4) the ability to effectively and efficiently initiate, plan, budget and manage projects; and (5) knowledge of computer applications and operations pertinent to the field
  • Must be able to work on a self-initiated basis and lead in a team environment
  • Able to work extended hours and travel as required
  • Possess strong technical skills to manage and solve complex technical issues

#LI-MM2

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we're invested in building teams with a wide variety of backgrounds, identities, and experiences.

Benefits & Perks:

Alteryx has amazing benefits for all Associates which can be viewed here.

Keywords: Alteryx, Los Angeles , Sales Engineer - Data Science & Advanced Analytics, Other , Los Angeles, California

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