Senior Data Analyst

Year    TS, IN, India

Job Description

About Us:
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Seismic is the global leader in AI-powered enablement, empowering go-to-market leaders to drive strategic growth and deliver exceptional customer experiences at scale. The Seismic Enablement Cloud(TM) is the only unified AI-powered platform that prepares customer-facing teams with the skills, content, tools, and insights needed to maximize every buyer interaction and strengthen client relationships. Trusted by more than 2,000 organizations worldwide, Seismic helps businesses achieve measurable outcomes and accelerate revenue growth. Seismic is headquartered in San Diego with offices across North America, Europe, Asia and Australia. Learn more at seismic.com.

Seismic is committed to building an inclusive workplace that ignites growth for our employees and creates a culture of belonging that allows all employees to be seen and valued for who they are. Learn more about DEI at Seismic

here

.


Overview:

At Seismic we believe that AI, and in particular Generative AI, will remake and transform how GTM and enablement teams operate and interact with their customers. Seismic Aura, our AI engine, is powering this change and is being infused natively across the enablement cloud. Our focus is to leverage AI to make sellers and enablers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes.


AI is the fastest growing product area in Seismic. We have seen already seen great market traction and initial success with our AI product launches suite. We continue to make significant investments to further expand the capability set across all domains and industries.


Who you are::
Bachelor's degree in Mathematics, Computer Science, Economics, or Statistics 3+ years' experience working with data as an analyst or comparable role Proven analytic skills and modeling skills Technical writing experience in relevant areas, including queries, reports, presentations Excellent SQL skills with the ability to learn other analytic tools Proven success in a collaborative, team-oriented environment Excellent attention to detail Strong written/verbal communication skills Experience with BI Tool, Sisense a plus Experience with cloud-scale data warehouses, Snowflake a plus Experience with dbt Familiar with the Seismic Platform a plus Prior experience or familiarity with ETL concepts

What you'll be doing::

We're searching for an experienced data analyst to join our AI product team. You will be responsible for owning the metrics and reporting for AI feature adoption, playing a key role in informing the larger product team, and helping prioritize areas for further investment. The ideal candidate should be highly skilled in all aspects of data analytics, including SQL, building dashboards in BI tools, and data modeling.
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Headquartered in San Diego and with employees across the globe, Seismic is the global leader in sales

enablement

, backed by firms such as Permira, Ameriprise Financial, EDBI, Lightspeed Venture Partners, and T. Rowe Price. Seismic also expanded its team and product portfolio with the strategic acquisitions of SAVO, Percolate, Grapevine6, and Lessonly. Our board of directors is composed of several industry luminaries including John Thompson, former Chairman of the Board for Microsoft.

Seismic is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to gender, age, race, religion, or any other classification which is protected by applicable law.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.


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Job Detail

  • Job Id
    JD5172172
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    TS, IN, India
  • Education
    Not mentioned
  • Experience
    Year